Prof. Dr. Christoph Schommer

Christoph Schommer

Associate professor in Artificial Intelligence

Academic Area(s) Computer science
Research Topics Artificial Intelligence, Knowledge Discovery, Machine Learning, Data Science, Natural Language Processing
Faculty or Centre Faculty of Science, Technology and Medicine
Department Department of Computer Science
Postal Address Université du Luxembourg
Maison du Nombre
6, Avenue de la Fonte
L-4364 Esch-sur-Alzette
Campus Office MNO, E04 0435-090
Email
Telephone (+352) 46 66 44 5228
Social Media & Blogs
Associate Professor in Artificial Intelligence
Speaks English, French, German
Research Stays in Germany, Italy, Luxembourg, United Kingdom, China, Singapore, Canada

Groups HomePage: ilias.uni.lu/mine

Current Team:

  • Prof. Dr. Christoph Schommer
  • Isabelle Schroeder, Secretary
  • Dr. Salima Lamsiyah, PostDoc researcher
  • MSc. Aria Nourbakhsh, PhD Candidate; Collaboration21 project (see collaboration21.uni.lu)
  • MSc. Prince Yaw Gharbin. PhD candidate (D4H - Deep Data Science of Digital History)
  • MSc. Daniel Karpati, PhD Candidate
  • MSc. Nina Hosseini, PhD Candidate
  • MSc. Faria Ferooz: PhD candidate. LAST-JD Graduate School. co-tutelle with University of Bologna.
  • Msc. Yasi Yousefi:PhD candidate. LAST-JD Graduate School. co-tutuelle with University of Bologna.
  • MSc. Alejandro Raboso Campos, Doctoral Candidate (with European Investment Bank)
  • Greeshma Menon. Songs to Lyrics Generation using Deep Learning Models. With Prince Gharbin (PhD candidate)
  • Hamza Dovutbekov: Using ChatGPT and Dall-E for a new kind of Digital Storytelling.
  • David Holbrechts: A practical application of Linguistic Steganography.
  • Navid Vafaei: An opinion text summarization approach with unsupervised domain adaptation. Daily Supervisor: Dr. Salima Lamsiyah

Positions in Self-Administration

Boards

  • Partner, Financial Computing Innovation Platform. With UC London, TU Denmark, U Rio de Janeiro, Técnico Lisboa.
  • Affiliated Faculty Member of the SnT (2010 - 02/2015)
  • Jury member of Master of Science in Computer Science (2005 - 2009).
  • Jury member of Bachelor of Engineering in Computer Science (2007 - Today).

Last updated on: Tuesday, 14 March 2023

Research Interests

Interests

  • Natural Language Processing
  • Artificial Intelligence (strong AI)
  • Artificial Intelligence/Data Science (weak AI)
  • Knowledge Discovery and Data Mining, in particular applications of Machine and Deep Learning
  • Cognitive Systems

Conference Announcements : AIFA - Artificial Intelligence and the Future of Arts, 28 - 30 November 2022, University of Luxembourg

The interactions between AI and art are emerging and to explore this area of research we are currently organising AIFA, a scientific and multidisciplinary conference that aims to provide a forum for researchers, engineers, artists and also students to exchange views on the state of research and development in the broad areas of AI and art. AIFA aims to cover a wide range of topics on which scientists and artists will discuss viewpoints and perspectives (economic, sociological, legal, ethical, and others) for or against AI. More information here: https://aifa.uni.lu/

 

AI & Arts / Esch 2022 European Capital of Culture

AI PhotoBooth - see also other projects here : https://esch2022.uni.lu

 

Projects

2022

2021

2020

  • PI: Deephouse. Covid19 Funding Scheme, National Resereach Fund (FNR). 07/2020 -12/2020.
  • PI, submitted, not retained for funding: VoicePrint, CORE, National Research Fund (FNR). With Prof. Rejko Krüger.

2018

Before 2018

Conference Organization

Invited Stays and Talks

International Expert

Reviewer of Journals

Reviewer of international conferences and Invited Member of Program Committees

 

 

2023

113: The 38th ACM/SIGAPP Symposium On Applied Computing. Tallinn Estonia. 27-31 March 2023.
112: DH 2023 DH. Digital Humanities 2023. 10-14 July. Graz, Austria.

2022

111: ACM EB-ASONAM - The 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. The Hague, 10-13 November 2022.
110: DH 2022 DH. Alliance of Digital Humanities Organisations "Responding to Asian Diversity". 25 - 29 July. Tokio, Japan.
109: ACM SAC. 25 - 29 April, Brno, Czech Republic.

2021

109: BNAIC 2021. Luxembourg, 10-12 November 2021 (PC Track Chair "AI and Arts")
108: ACM SAC https://www.sigapp.org/sac/sac2021/ Gwangju, Korea, 22 - 26 March 2021

2020

107: FAB - International Symposium on Foundations and Applications of Big Data Analytics. Vancouver, Canada, 27 - 30 August.

106: 42nd CogSci - Annual Conference of the Cognitive Science Society 2019. 29 July - 1 August. Toronto, Canada.105: ACM Workshop on NeuroEvolution at Work (NEWK) at GECCO 2020, Cancun, Mexico, 8-12 July 2020.
104: FCTA 2020 - 12th International Joint Conference on Computational Intelligence. 2-4 November 2020, Budapest, Hungary.
103: IJCAI-PRICAI 2020. 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence. Yokohama, Japan 11-17 July 2020.
102: DHD 2020 - 7. Tagung des Verbandes "Digital Humanities im deutschsprachigen Raum - Spielräume. Paderborn.
101:6th International Conference on Machine Vision and Machine Learning, 13-15 August 2020, Prague, Czech Republic.
100: 6th International Conference on machine Learning, Optimization & Data science - An Interdisciplinary Conference: Deep Learning, Optimization and Big Data without Borders, Certosa di Pontignano (Siena) Tuscany, Italy July 19-22, 2020.
99: 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020). 25-27 July 2020 in Xian, China.
98: DH 2020 - Digital Humanities. Ottawa, Canada. 22-24 July 2020.
97: ISMIS 2020 - 26th International Symposium on Methodologies for Intelligent Systems. Graz, Austria. 20 - 22 May 2020.
96: 12th ICAART International Conference on Agents and Artificial Intelligence. 22-24 February 2019, La Valetta, Malta.

2019

95: FAB - International Symposium on Foundations and Applications of Big Data Analytics. Vancouver, Canada, 27 - 30 August.
94: LOD 2019 - 5th International Conference on machine Learning, Optimization & Data science. September 10-13, 2019 – Certosa di Pontignano, Siena – Tuscany, Italy
93: BIDMA 2019 - International Symposium on Big Data Management and Analytics. Calgary, Canada, 25-26 April 2019.
92: KI 2019. 42nd Edition of the German Artificial Intelligence. Kassel, Germany. 23-26 September 2019.
91: ECML PKDD September 16-20, 2019 in Würzburg, Germany
90: 41st CogSci - Annual Conference of the Cognitive Science Society 2019. 24-27 July. Montréal, Canada.
89: DH 2019 - Digital Humanities. Utrecht, The Netherlands. 9-12 July 2019.
88: AAMAS 2019 International Conference on Autonomous Agents and Multiagent Systems. 13-17 May 2019. Montreal, Canada.
87: FCTA 2019 - 11th International Joint Conference on Computational Intelligence. 17-19 September 2019, Vienna, Austria.
86: 15th International Conference Beyond Databases Architectures and Structures (BDAS), Ustron, Poland. 28-31 May 2019.
85: DHD 2019 - 6. Tagung des Verbandes "Digital Humanities im deutschsprachigen Raum.
84: 11th ICAART, International Conference on Agents and Artificial Intelligence. 19-21 February 2019, Prague, Czech Republic.

2018

83:ISMIS 2018 24th International Symposium on Methodologies for Intelligent Systems. 29-31 October 2018, Limassol, Cyprus.
83: GCAI-2018: 4th Global Conference on Artificial Intelligence. Luxembourg City, Luxembourg, September 18-21, 2018
82: 7th Special Session on Parallel and Distributed Data Mining (PDDM 2018); July 16 – 20, 2018, Orléans, France.
81: ECML-PKDD 2018. Dublin, Ireland, 10-14 September.
80: FAB - International Symposium on Foundations and Applications of Big Data Analytics. Barcelona, Spain, 28-31 August.
79: 40th CogSci - Annual Conference of the Cognitive Science Society 2018. 25-28 July. Madison, US.
78: 31st IEEE Computer-based Medical Systems (CBMS) 2018. 18 -21 June, Karlstad, Sweden.
77: Digital Humanities (DH) 2018, Mexico City. 26-29 June 2018.
76: BIDMA: International Symposium on Big Data Management and Analytics. Calgary, Canada, April 24-25, 2018.
75: IEEE - 2017 Beyond Databases Architectures and Structures (BDAS) , Poznan, Poland 18 -- 20 September 2017.
74: 10th International Joint Conference on Computational Intelligence (IJCCI 2018), 18-20 September 2018, Sevilla, Spain.
73:10th ICAART, Funchal, Madeira, Portugal; 16-18 January 2018.

2017

72: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2017). Sydney, Australia, 31 July - 03 August, 2017
71: ECML-PKDD, September 18-22, Skopje, Macedonia.
70: 39th CogSci, London, UK; 26-29 July 2017.
69: Workshop "Exploring Old Maps" (EOM); Würzburg, 6-7 April 2017.
68: FAB 2017 1-3 Aug 2017. Sydney Australia.
67: CORIA 2017, Mars 29-31. Marseille, France.
66: 23rd International Symposium on Methodologies for Intelligent Systems. June 26-29, 2017, Warsaw, Poland.
65: 30th IEEE International Symposium on Computer-based Medical Systems, 22 -24 June 2017, Thessaloniki, Greece.
64: 13th International Conference Beyond Databases, Architectures and Structures, 30 May - 02 June 2017, Ustron (near Krakow), Poland.
63: Digital Humanities 2017 Montreal, Canada, August 8 - 11, 2017.
62: DHD - Digital Humanities im Deutschsprachigen Raum 2017 Digitale Nachhaltigkeit, University of Bern, Switzerland. 13 - 18 February 2017.
61: ICAART - 9th International Conference on Agents and Artificial Intelligence. Porto, Portugal. Feburary 24 - 26.

2016

60: ECAI - European Conference on Artificial Intelligence. The Hague, Netherlands. August 29 - September 2, 2016.
59: ECML/PKDD (Scientific Track). Riva del Garda, Italy. September 19-23.
58: 38th CogSci - Annual Meeting of the Cognitive Science Society. Philadelphia, USA. August 10 -13.
57: 29th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Dublin, Ireland. June 20 – 24.
56: BIDMA - International Symposium on Big Data Management and Analytics. Calgary, Canada. April 25-26.
55: FAB - International Symposium on Foundations and Applications of Big Data Analytics. UC Davis. 20-21 August.
54: ICAART – 8th International Conference on Agents and Artificial Intelligence. Rome, Italy. Feburary 24 - 26.
53: IEEE ASONAM - International Conference on Advances in Social Networks Analysis and Mining. Davis, CA, USA. August 18 - 21, 2016.
52: MOD - Second International Workshop on Machine Learning, Optimization and Big Data. Pisa. July 2016.
51: 12th International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery (ICNC 2016), Changsha, China.
50: 13ième COnférence en Recherche d'Information et Applications. Toulouse, France. Mars 8-11.
49: 8th NCTA - International Conference on Neural Computation Theory and Applications. November.

2015

48: 24th IJCAI - International Joint Conference on Artificial Intelligence. Buenos Aires, Argentina. July 25 - 31, July.
47: ECML/PKDD. Porto, Portugal. Scientific Track. September 7 - 11.
46: 28th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Sao Paulo, Brazil. June 22 – 25.
45: 37th CogSci - Annual Conference of the Cognitive Science Society. Mind, Technology, and Society. Pasadena, CA, USA. July 23-25.
44: European-Asia-Pacific Conference on Cognitive Science (EAPCogSci), Torino, Italy. September 25 – 27.
43: FAB 2015 - International Symposium on Foundations and Applications of Big Data Analytics. Paris, France. August 27 - 28.
42: CORIA – Conférence en Recherche d’Information et Applications. Paris, France. March 18 – 20.
41: ICAART – 7th International Conference on Agents and Artificial Intelligence. Lisbon, Portugal. January 10 -12.
40: The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. Iasi, Romania. June 18 – 24.
39: 7th NCTA - International Conference on Neural Computation Theory and Applications. Lisbon, Portugal. November 12 – 14.
38: 12th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Zhangjiajie, PR of China. August 15 – 17.
37: International Workshop on Machine learning, Optimization and big Data (MOD). Taormina, Sicilia, Italy. July 21 - 24.

2014

36: ECML/PKDD. Nancy, France. September 15 – 19.
35: 36th CogSci - Annual Conference of the Cognitive Science Society. Cognitive Science Meets Artificial Intelligence: Human and Artificial Agents in Interactive Contexts. Quebec, Canada.
34: ICAART – 6th International Conference on Agents and Artificial Intelligence. Angers, France. March 6 – 8.
33: The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. July 1-4 2014 at Beijing, China.
32: 6th NCTA - International Conference on Neural Computation Theory and Applications. Rome, Italy. October 22 – 24.
31: 11th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Xiamen, PR of China. August 19 – 21.
30: ECDA - European Conference on Data Analysis. Bremen, Germany. July 1 - 4.
29: IEEE 23rd International Symposium on Industrial Electronics (ISIE). Istanbul, Turkey. June 1 – 4.

2013

28: ECML/PKDD. Prague, September 23 – 27.
27: 35th CogSci - Annual Conference of the Cognitive Science Society. Berlin, Germany. July 31 – August 3.
26: 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Porto, Portugal. June 20 – 22.
25: 12th International Conference on Cognitive Modeling. Ottawa, Canada. July 11 – 14.
24: ICAART – 5th International Conference on Agents and Artificial Intelligence. Barcelona, Spain. February 15 – 18.
23: 10th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Shenyang. July 23 – 25.
22: ICAS - 9th International Conference on Autonomic and Autonomous Systems. Lisbon, Portugal. March 24 - 29.
21: The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. Leiden, Belgium. July 11 – 13.
20: 5th NCTA - International Conference on Neural Computation Theory and Applications. Vilamoura, Portugal. September 20 – 22.

2012

19: 34th CogSci - Annual Conference of the Cognitive Science Society. Sapporo, Japan. August 1 – August 4. 19: 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Workshop on Learning-based Biomedical Information Systems. Rome, Italy. June 20 - 22.
18: ICAART – 4th International Conference on Agents and Artificial Intelligence. Vilamoura, Portugal. February 6 - 8.
17: The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. Mexico City, Mexico. August 7 - 9.
16: 4th NCTA - International Conference on Neural Computation Theory and Applications. Barcelona, Spain. October 5 – 7.
15: 9th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Chongquing, PR of China. May 29 – 31.
14: ECDA - European Conference on Data Analysis. Luxembourg, Luxembourg. July 10 - 14.

2011

13: 33rd CogSci - Annual Conference of the Cognitive Science Society. Boston, MA, USA. July 20 – July 23.
12: 24th IEEE International Symposium on Computer-Based Medical Systems (CBMS).Workshop on Knowledge Discovery and Decision Systems in Biodemedicine. June 27 – 30.
11: ICAART – 3rd International Conference on Agents and Artificial Intelligence. Rome, Italy. January 28 – 30.
10: The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. Luxembourg, Luxembourg. May 25 – 27.
9: 3rd NCTA - International Conference on Neural Computation Theory and Applications. Paris, France. October 24 – 26.
8: 8th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Shanghai, PR of China. July 26 – 28.

2010

7: 23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS). Workshop on eHealth. Perth, Australia. October 12 -15.
6: IEEE Conference on Computer Systems and Applications (AICCSA) - Special Track on Soft Computing. Hammamet, Tunesia. May 16 – 19.
5: 7th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Yantai, PR of China. August 10 – 12.
4: BNAIC - Benelux Conference on Artificial Intelligence. Luxembourg, Luxembourg. October 25 – 26.
3: ICNC - International Conference on Neural Computation. Madeira, Portugal. October 5 – 7.

2009

2: 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS). Workshop on Data Mining. Albuquerque, New Mexico, USA. August 2 – 5.

2008

1: 21th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Workshop on Knowledge Discovery and Knowledge-based Techniques in Medicine. Jyväskylä, Finland. Juni 17 – 19.



Last updated on: 07 Nov 2022

Leitmotif

Modern computer machines and algorithmic intelligence have made it possible that large amounts of data can be collected, retrieved, and analyzed from a variety of sources. This offers a high potential and many challenges, but raises also questions, for example, how data can efficiently be managed, processed, and retrieved, which algorithms can and should be used to extract knowledge out of it, and whether (or not) these extracted patterns are really reliable and durable. Also, the selection of the correct answer(s) to these findings, as for example a new marketing campaign, will lead to data back again, but then the data situation is quite different to the previous situation; the data life-cycle refers to a loop that continues:

Teaching at UL and abroad

  • Teaching at University Luxembourg
    • Information Retrieval and Learning (MICS)
    • Knowledge Discovery and Data Mining (Common course MICS + Master in Physics)
    • Machine Learning (MICS + ISM)
    • Data Science (Common course Master of Mathematics + Masters in Logistics and Supply Change Management)
    • Databases I + II (BINFO)
    • Natural Language Processing (BICS + EU Commission Staff Education)
    • Data Science for Humanities (BICS)
  • Guest Lecturer at Freie Universität Berlin, Germany (2018, 2019, 2020, 2021)
  • Guest Lecturer at Potsdam University, Germany (2001, 2002, 2018)
  • Visiting scholar at Tsinghua University, PR of China (2015, 2016)
  • Guest Lecturer at Goethe-University Frankfurt/Main (2001, 2002, 2003, 2004, 2005, 2006, 2007)
  • Guest Lecturer at Singapore University of Technology and Design (2019, 2020, 2021, 2022)

Courses

In this regard, the Bachelor courses are concerned with Data Science, focusing on applications. Here, we concern aspects like Data Modeling and SQL, modern Data Management systems, and Data Quality (part I) as well as Database Transactions and Concurrency, ACID, Data Security and Privacy Data Visualization, Data Mining, and Data Warehousing (part II). The Master courses concern more scientific aspects in the information area: Information Retrieval (Boolean Model, Dictionaries, Natural Language Processing, Vector Space Model, Ranking, Evaluation, Text Classification, PageRank, etc), Data Mining and Knowledge Discovery (Preprocessing, Machine Learning algorithms, Interpretation and Evaluation), Machine Learning (Deeper insights in Machine Learning algorithmic). The learning outcome for each course is an understanding of the content. I attach importance to the 'why' rather than to the 'how', encouraging students to look for alternatives, to be curious and critical, and to understand problems from different perspectives.

Summer 2023

171: 10h teaching at U Dakar, Senegal - to come.
170: Common lecture with Manuela Naveau, Kunstuniversität Linz and Ars Electronica Linz: Critical Data and Data Science (10h).
169:  Elements of AI 1 March 2023, 2h.
168:: Data Science for Humanities (4 ECTS). Semester 6, Bachelor Academic in Computer Science. With colleagues of the Dept of Humanities + C2DH.
167: Database Management II (4 ECTS). Semester 4, Bachelor Professionelle en Informatique.
166: Knowledge Discovery and Data Mining, (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).

Winter 2022/23

165: Machine Learning for Art Production. Doctoral Workshop. 28 November 2022.
164: Innovation in Art History for interdisciplinary research. Doctoral Workshop (Supervisor). January 2023. Performed by Egberdien van der Peijl.
163: Machine Learning (4 ECTS) with focus on AI&Arts. 7 November - 19 December 2022. Common course with FU Berlin "Machine LEarning" in cooperation with Prof. Tim Landgraf (FU Berlin) and as part of the Framework Agreement with FU Berlin.
162: AI + Future of Living 2h (lecture), 11 November 2022, Master in Philosophy, 'AI and Philosophy', University of Luxembourg.
161: AI for the Medicine, 2h (Guest lecture), 30 September 2022, Bachelor in Medicine: Introduction à l'examen clinique, Semester 3, University of Luxembourg.
160: Data Science 12h, Master in Finance, University of Luxembourg.
( Natural Language Processing (4 ECTS). 28h, Semester 5, Bachelor in Computer Science. Delegated to Dr. Salima Lamsiyah. )
159: Information Retrieval and Learning (2 ECTS). 20h, Semester 1. Master of Information and Computer Science (MiCS).
158: Data Science (5 ECTS), 28h Semester 3, Master of Mathematics.
157: Database Management I (5 ECTS). 42h, Semester 3. Professional Bachelor of Informatics (BINFO).

Summer 2022

156: Selected Aspect of Artificial Intelligence. 20h, Invited Guest Lecture at Singapore University of Technology and Design (SUTD). 10 - 16 August 2022. See Booklet/Workshop:

Booklet - 24August2022.pdf 2.83 MB

155: Data Science for Humanities (4 ECTS). Semester 6, Bachelor Academic in Computer Science. With colleagues from Dept of Humanities + C2DH.
154: Database Management II (4 ECTS). Semester 4, Bachelor Professionelle en Informatique.
153: Knowledge Discovery and Data Mining, (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).

Winter 2021/22

152: AI + Future of Living 2h (lecture), 3 December 2021, Master in Philosophy, 'AI and Philosophy', University of Luxembourg.
151: AI for the Medicine, 2h (lecture), 1 October 2021, Bachelor in Medicine, University of Luxembourg.
150: Information Retrieval 10h, 4 October - 25 October, Master in Finance, University of Luxembourg.
149: Natural Language Processing (4 ECTS). 28h, Semester 5, Bachelor in Computer Science.
148: Information Retrieval and Learning (2 ECTS). 20h, Semester 1. Master of Information and Computer Science (MiCS).
147: Data Science (5 ECTS), 28h Semester 3, Master of Mathematics.
146: Database Management I (5 ECTS). 42h, Semester 3. Professional Bachelor of Informatics (BINFO).

Summer 2021

145: NLP in Action (30h, 3 ECTS). Seminar. Freie Universität Berlin..
144: Selected Aspect of Artificial Intelligence. 20h, Guest Lecture at Singapore University of Technology and Design (SUTD). 15 - 19 Feburary 2021.

Booklet.pdf 2.36 MB

143: Data Science for Humanities (4 ECTS). 30h, Semester 6, Bachelor Academic in Computer Science.
142: Database Management II (4 ECTS). 45h, Semester 4, Bachelor Professionelle en Informatique.
141: Knowledge Discovery and Data Mining, 20h (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).

Winter 2020/21

140:  Machine Learning, ISM Space Master.
139: Natural Language Processing (4 ECTS). Semester 5, BICS.
138: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS).
137: Data Science (5 ECTS), Semester 3, Master of Mathematics.
136: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics (BINFO).

Summer 2020

135: Information Retrieval (3 ECTS). Seminar. Freie Universität Berlin. 14 - 18 September 2020 (28h). Vorbesprechung: 1 September 2020, 10h00. Where. Takustr 9, SR 049.
134: Selected Aspect of Artificial Intelligence. Guest Lecture at Singapore University of Technology and Design (SUTD). 1 - 5 June 2020.

Final-Booklet.pdf 831.16 kB

133: Philosophy of Mind: about Mice, Men, and Machines. (2 ECTS), Doctoral Programme (by Antonio Bikic, Adriano Mannino). 2 - 6 March 2020.
132: Data Science for Humanities (4 ECTS). Semester 6, Bachelor Academic in Computer Science.
131: Database Management II (4 ECTS). Semester 4, Bachelor Professionelle en Informatique.
130: Knowledge Discovery and Data Mining. (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).

Winter 2019/20

129: Natural Language Processing (5 ECTS). Guest Lecture at Freie University Berlin. 5 November 2020 - 25 February 2021.
128: Machine Learning (4 ECTS). Semester 3. ISM Space Master.
127: Minds and Machines: Cognitive Science, AI, and Education. Doctoral Workshop (2 ECTS). With Prof Pedro Cardoso-Leite, Dr Siwen Guo, Dr Dominick Mussack (all UL) and Prof Constantin Rothkopf (TU Darmstadt), Prof Paul Schrater (U Minnesota). 10-14 Feburary 2020.
126: Natural Language Processing (4 ECTS). Semester 5, BICS. With Dr Sviatlana Hoehn.
125: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS).
124: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). With Dr Vladimir Despotovic.
123: Data Science (5 ECTS), Semester 3, Master of Mathematics.
122: Artificial Intelligence (6 ECTS). Contribution to this course at Freie University Berlin; 9+10 September and 18+19 September; with Prof Christoph Benzmueller.
121: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics (BINFO).

Summer 2019

120: Selected Aspect of Artificial Intelligence. Guest Lecture at Singapore University of Technology and Design (SUTD). 3 - 7 June 2019.

Booklet.pdf 1.25 MB

119: Artificial Intelligence (6 ECTS). Guest Lecture at Freie University Berlin. 15-19 July 2019 (block course).
118: Natural Language Processing. Training for IT-Members of the EU Commission.
117: Database Management II (4 ECTS). Semester 4, Bachelor Professionelle en Informatique.
116: Knowledge Discovery and Data Mining. (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).

Winter 2018/19

115: Natural Language Processing. Training for IT-Members of the EU Commission.
114: Information Retrieval (3 ECTS). Seminar. Freie Universität Berlin. 19 November 2018 - 29 November 2019 (30h). Vorbesprechung: 15 October 2018. Erasmus+ Grant.
113: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS).
112: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS) - with Dr Sviatlana Hoehn.
111: Data Science (5 ECTS), Semester 3, Master of Mathematics.
110: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics (BINFO; with Dr Joshgun Sirajzade).

Summer 2018

109: Knowledge Discovery and Data Mining (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).
108: Knowledge Discovery (6 ECTS). Invited Guest Lecture. University Potsdam, Institute of Computer Science. 9 April - 9 July.
107: Artificial Intelligence (5 ECTS). Invited Guest Lecture. Freie Universität Berlin. 15 May - 12 June.

Winter 2017/18

106: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS).
105: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS).
104: Data Science (5 ECTS), Semester 3, Master of Mathematics + Master of Economy and Entrepreneurship.
103: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics (BINFO; with Prof Martin Theobald).

Summer 2017

102: Workshop "Text Mining" (2 days, 16h; 1 ECTS). With Prof Gilles, Dr Purschke. Doctoral Training Unit DHH.
101: Database Management II (4 ECTS). Semester 4, Bachelor Professionelle en Informatique (BINFO; with Prof Martin Theobald).
100: Knowledge Discovery and Data Mining (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).
--: Summer School / LEONARDO program of the University of Luxembourg. (

Leonardo2.pdf 3.17 MB

)

Winter 2016/17

99: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics (BINFO).
98: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS).
97: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS).
96: Data Science (5 ECTS), Semester 3, Master of Mathematics.

Summer 2016

95: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
94: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
93: Winter School "Digital Humanities" (15.-19.2.) Slot: "Data Science": February 16, 2016. University of Luxembourg; DH Lab (Prof Fickers).
92: Data Science. Guest Lecture at Tsinghua University, Bejing, PR of China. June 27 - July 8, 2016 (Summer Term)
--: Guest lecture at KMUTT Bangkok, Thailand (July 2016).

Winter 2015/16

91: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics (BINFO).
90: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS).
89: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS).
88: Data Science (5 ECTS), Semester 3, Master of Mathematics.
--: Guest Lecture  About Data Science , University of Cologne, Germany (January 28, 2016)

Summer 2015

87: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
86: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
85: Introduction to Data Science. Guest Lecture at Tsinghua University, Bejing, PR of China. August 24 - September 5 2015 (Summer Term).

DataScience.pdf 149.00 kB

--: Guest Lecture at the Goethe-University of Frankfurt/Main. Algorithms for Data Privacy. July 9, 2015. Ringvorlesung: Entrepreneurship

Winter 2014/15

84: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
83: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
82: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2014

81: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
80: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2013/14

79: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
78: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
77: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2013

76: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
75: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
74: Recent Advances in Text Mining and Retrieval (1 ECTS). Doctoral School in Computer Science and Computer Engineering (DS-CSCE). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2012/13

73: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
72: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
71: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
70: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2012

69: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
68: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2011/12

67: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
66: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
65: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
64: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2011

63: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
62: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2010/11

61: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
60: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
59: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
58: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2010

57: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
56: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2009/10

55: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
54: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
53: Intelligent Systems (6 ECTS). With R. Bisdorff, P. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
52: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2009

51: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
50: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2008/09

49: Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
48: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
47: Intelligent Systems (6 ECTS). With R. Bisdorff, P. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
46: Natural Language Processing and Text Mining (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
45: Applied Mining in Security (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2008

44: Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
43: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2007/08

42: Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
41: Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
40: Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
39: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
38: Intelligent Systems (6 ECTS). With R. Bisdorff, P. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
37: Applied Mining in Security (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
36: Natural Language Processing and Text Mining (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2007

35: Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
34: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
33: Data Mining (2 ECTS). Master of Science in Computational Sciences. Goethe-University Frankfurt/Main, Germany.

Winter 2006/07

32: Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
31: Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
30: Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
29: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
28: Intelligent Systems (6 ECTS). With R. Bisdorff, P. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
27: Applied Mining in Security (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
26: Selected topics in AI (4 ECTS). With Leon van der Torre and Emil Weydert. Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2006

25:Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
24: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
23: Text Retrieval and Mining (2 ECTS). Diploma Programme in Computer Science, Goethe-University Frankfurt/Main, Germany.

Winter 2005/06

22: Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
21: Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
20: Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
19: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
18: Intelligent Systems (6 ECTS). With R. Bisdorff, P. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

The Master Programme in Information and Computer Sciences (MICS) has started!

Summer 2005

17: Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
16: Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Winter 2004/05

15: Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
14: Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
13: Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
12: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2004

11: Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
10: Computer-based Learning (2 ECTS). Diploma Programme in Computer Science, Goethe-University Frankfurt/Main, Germany.

Winter 2003/04

9: Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
8: Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
7: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
6: Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Summer 2003

5: Medical Computer Science (2 ECTS). Diploma Programme in Computer Science, University of Potsdam, Germany.
4: Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Winter 2002/03

3: Data Mining (2 ECTS). Diploma Programme in Computer Science, University of Potsdam, Germany.
2: Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Summer 2002

1: Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Certification Course IBM - DB2 Database

  • IBM DB2 V9 Certification Tests 730 and 731 - October 8, 2008 (UL)
  • IBM DB2 V9 Certification Tests 730 - September 24, 2008 (UL)
  • IBM DB2 V9 Certification Tests 730 and 731 - 2002 (Goethe-University Frankfurt)
  • IBM DB2 V9 Certification Tests 730 - 2002 (Goethe-University Frankfurt)



Last updated on: 15 Mar 2023

Open Positions:

none at the moment

PostDocs

Current Supervisions and co-supervisions

  • MSc. Prince Yaw Gharbin. Creating Historical Stories with Illustrations for Digital History, using Natural Language Processing and Deep/Machine learning models. Supervisor. / D4H - Deep Data Science of Digital History.
  • MSc. Yasi Yousefi.The quest for Fairness in AI: Legal, Ethical, and Technical Solutions. LAST-JD Graduate School. co-tutuelle with University of Bologna, Prof. Silvia Zullo. Supervisor
  • MSc. Alejandro Raboso Campos (external PhD candidate; European Investment Bank): Artificial Intelligence for unstructured data analysis in fundamental value investments. Supervisor.
  • MSc. Daniel Karpati: REMEDIS The Limits of Autonomous Decision-making in Machine Ethics. Supervisor.
  • MSc. Aria Nourbaksh /C21 (August 2022): PhD topic about Chatbots; with CISCO and script.lu Supervisor.
  • MSc. Faria Ferooz: Legal Knowledge modelling of medieval manuscript of history of law: linked open Data of Cultural Heritage. LAST-JD Graduate School. co-tutuelle with University of Bologna, Prof. Palmirani. Supervisor.
  • MSc. Nina Hossini-Kivanani: Speech Recognition with Parkinson Patients. Supervisor.
  • Msc. Jingjing Xu: The research topic is to develop a leading knowledge-graph based question-answering (KG-QA) approach by combining the previous approaches for QA into one coherent framework. Co-Supervisor. Under main supervision of Prof. Martin Theobald.
  • MSc. Paul Meder: BigTexts - A Distributed Graph Database for Large-Scale Text Analytics. co-supervision. Under main supervision of Prof. Martin Theobald.
  • MSc. Rachele Carli: Deception in social robotics: problematic profiles of human-robot interaction. Under main supervision of Prof Leon van der Torre.
  • MSc. Giuseppe Pisana: Legal reasoning: argumentation and explanation. Under main supervision of Prof Leon van der Torre.
  • MSc. Vu Chau: "Data-driven identification of governing equations in continuum mechanics". Under main supervision of Prof Andreas Zilian.

 

PhD Supervisions

(Doctoral program @ UL exists since 2005)

  • Dr. Ekaterina Kamlovskaya (2021): Approaching Indigenous Australian History with Text Mining methods. Superisor. DHH Graduate School).
  • Dr. Federico Galli (2021): The Unfair Commercial Practices Directive in the age of AI and personalization. Supervisor. University of Bologna, Italy - LAST-JD program)
  • Dr. Siwen Guo (2019): Deep Neural Networks for Sentiment Analysis with Information Decay. Supervisor.
  • Dr. Winfried Höhn (2018): Semiautomatische Annotation von digitalisierten Altkarten. Supervisor.
  • Dr. Dimitrios Kampas (2016): "Topic Identification considering word order in Markov Chains". Supervisor.
  • Dr. Sviatlana Höhn (2016): "Data-driven repair models for text chat with language learners". Supervisor.
  • Dr. Mihail Minev (2014): "Feature Detection and Classification in Financial News". Supervisor.
  • Dr. Jayanta Poray (2012): "INACS -- An Intelligent and Adaptive Systems for Conversational Streams". Supervisor.
  • Dr. Sascha Kaufmann (2010): "CUBA -- Artificial Conviviality and User Behaviour Analysis". Supervisor.
  • Dr. Maria Biryukov (2010): "Methods of Extracting Meta-Information from Bibliographic Databases". Supervisor.
  • Dr. Michael Hilker (2008): "Network Security through Artificial Immunity with SANA". Supervisor.
  • Dr. Shohreh Haddadan: "Argumentation Mining in Political Debates". Under main supervision of Prof Leon van der Torre. Member of the Doctoral Training Unit DHH. Defence: 4 April 2022. Chair of the Defence.
  • Dr. Daniela Gierschek: "Automatic Detection of Emotions in Luxembourgish User Comments". Under main supervision of Prof Peter Gilles (Department. of Linguistics). Defence: 25 February 2022. Vice-Chair of the Defence.
  • Dr. Lucio Idone (2020, UC London, UK): Validation of trading strategies for the foreign exchange. Role: External Expert + Chairman of Defence.
  • Dr. Valentina Leone (2021) "Knowledge Patterns for the Privacy and data Protection domain: extraction and reuse". Co-Supervisor. Under main supervision of Prof Martin Theobald.
  • Dr. Eva Andersen (2021):"Psychiatric Associations in Europe (1842 - 1940). The Importance of Transnational Contacts for the Dissemination of Knowledge." Under main supervision of Prof Benoit Majerus, C2DH. Member of the Doctoral Training Unit DHH.  Role: co-Supervisor and Chairman of Defence.
  • Dr. Denis de Montigny. Bayesian Networks for Asset Management and Financial Risk. External Expert and Chairman of Defence. UC London (2020)
  • Dr. Robert Mebenga Mbala"Transhumanisme: Une approche éthique philosophique des nouvelles biotechnologies de la transformation de l'être". Co-tutuelle, and under main supervision of Prof Lukas Sosoe (UL) and Prof Marc Maesschalck (Leuven). Role: co-Supervisor and Chair of the Defence.
  • Dr. Tahereh Pazouki (2019): "MaGrid – From Developing a Language-Neutral Learning Application to Predictive Learning Analytics". External Expert. Main Supervision: Prof Roman Martin and Prof Antoine Fischbach).
  • Dr. Max Kemman (2018): "Trading Zones of Digital History - Boundaries of Collaboration, Coordination, and Communication". External Expert. Main Supervision: Prof Andreas Fickers, C2DH.
  • Dr. Thorsten Doherr (2018): Disambiguation of Researchers Careers: Shifting the Perspective from Documents to Authors. Vice-Chairman of the Defense jury (Centre of Research in Economics and Management; Prof Katrin Hussinger).
  • Dr. Jiali Wang (2017): System Biology Approach Towards the oncogenic signaling in GISTs (Life Science Dept). Co-Supervisor and Chairman of the Defense jury (Prof Serge Haan).
  • Dr. Alessio Antonini (2016): FirstLife, building a technological platform for supporting urban networks and institutions cooperation in daily activities. External Reviewer and Member of the Defense jury. Departimenta di Informatica, Università di Torino (2016; Prof Guido Boella).
  • Dr. Florian Feltes (2016): Mitarbeiterführung und Social-Media-Nutzung im Führungsalltag von Generation-Y-Führungskräften - Eine Explorative Analyse mittels Mixed-Methods-Ansatz. Internal Reviewer and Vice-Chairman of the jury. Luxembourg (Prof Charles Max, SnT).
  • Dr. Martin Sewell (2016): "Application of Machine Learning to Financial Time Series Analysis". External Reviewer + Chairman of Defence; University College London, UK (Prof Philip Treleaven).
  • Dr. Llio Humphreys (2016): "Populating legal ontologies with information extraction based on semantic role labeling and text similarity". co-Supervisor and Chairman of Defense (Prof Leon van der Torre, Computer Science).
  • Dr. Andreas Chouliaras (2016): "Essays on the impact of information on Financial Markets: evidence from the European Financial Crisis". co-Supervisor (Prof Theoharry Grammatikos, Dept of Finance).
  • Dr. Denis Shirnin (2014): "Formalizing the twofold structure of a proactive system: Proof of concept on deterministic and probabilistic levels". co-Supervisor (Prof Denis Zampunieris, Computer Science).
  • Dr. Philippe Blanca (2014): "The scientific journal in the age of multimodality". co-Supervisor (with Dept of Education, Culture, Cognition, and Society; Prof Charles Max, SnT).
  • Dr. Cynthia Wagner (2012): "Security and Network monitoring based on Internet flow measurements". Chairman of the Defence Jury (Prof Thomas Engel, Computer Science + SnT).

Other former members

Master/Diploma Candidates

2023
  • Hamza Dovutbekov. Using ChatGPT and Dall-E for a new kind of Digital Storytelling.
  • Greeshma Menon. Songs to Lyrics Generation using Deep Learning Models. With Prince Gharbin (PhD candidate)
  • David Holbrechts: A practical application of Linguistic Steganography.
  • Navid Vafaei: An opinion text summarization approach with unsupervised domain adaptation. Daily Supervisor: Dr. Salima Lamsiyah

2022

  • Keerthana Murugaraj:Automated Summarization of Historical Texts (working title, in progress). Supervisor. Daily Supervisor: Dr. Salima Lamsiyah
  • Natsumi Shokida (with U Montreal) : Topical evolution of gender studies (in progress; Defence: 14 October 2022). Supervisor.
  • Aishwarya Krishnan: Design of a Chatbot for the SES Service-Now knowledge base (with SES Astra). Supervisor.
  • Léo Hillah: MOIEN: Moving English to Luxembourgish with Seq2Seq Networks. Supervisor.
  • Dastan Kasmamytov: Analysis of Open-Source Chatbot Architectures:Chirpy-Cardinal and Rasa.Master Thesis at FU Berlin. January 2022 (Supervisor).
2021
  • Yann Hoffmann: Reinforcement Learning for Autonomic Computing applied mostly to optimizing streaming engines within Talkwalker. Co-Spervisor.
  • Lucas Souza Romao: Analyzing skill networks of the European labor markets. Reviewer.
  • Pin Zhu. Alternating Minimization Methods for efficient training of (Deep) Neural Network’s parameters (Supervisor; with IEE)
  • Trang Thi Huyen Trang HOANG: Detecting Attacks against Telecom Networks with Deep Learning (Supervisor; with Post, Luxembourg)
2020
  • Rudrani Sharma: Building up Explainability of Multilayer Perception Neural Tetwork (with POST Luxembourg; Supervisor).
  • Sebastien Valenne: From text to knowledge: Generating a knowledge graph from JIRA tickets and emails (Reviewer).
  • Peter Hennen: Retailer Order Prediction Model with Market Basket Analysis (Supervisor).
  • Mei Peng: Knoweldge Transfer: from synthetic data to real data (with IEE; Supervisor).
  • Anna Felix: Sentiment, RTL News Messages, Project STRIPS (working title; Supervisor)
  • Ze Wang: Deep Learning, Speech, and Parkinson (working title; Supervisor)
  • Jingjing XU: Graph-based Mining (working title; Reviewer)
  • Rosita Gerbo, University Torino (Erasmus Student): Master thesis in the field about Psychology and AI, for example a chatbot simulating sadness (working title; Supervisor)
2019
  • Sadi Nasib: Real-time Streaming Detection of Anomalous Taxi Driving Behaviour (Reviewer)
  • Plarent Haxhidauti: Guided Inductive Logic Programming (Reviewer).
  • Doni Endringer: ADvanced Content Analysis for Web pages in Apache Spark (Reviewer).
  • Catia Mano Ferreira: Crafting Conversational Agents' Personality in a User-Centric Context (Supervisor).
  • Elisabeth Joy: Similarity Search in RTL Documents and Commentaries based on Sentiments (Supervisor).
  • Laurent Grober: Fake News Detection System driven by Belief Revision (Supervisor).
  • Ramya Ramamurthi: An Enhanced Chatbot with Character-based Associative Memories (Supervisor).
  • Maya Olszewski: Exploring Permissions in In/Output (Reviewer).
2018
  • Elida Van Nierop: Improving LDA Topic Modelling Using Word Embeddings Applied to a Corpus of User Commentary (Supervisor)
  • Rik Lamesch: Topic Modelling and Sentiment Analysis: Analysing a Corpus of User Commentary (Supervisor)
  • Bharati Vijayakumar: Exploring Formative Feedback Using Quizbot (Supervisor).
  • Soumya Ramakrishna: Computing Emotions and Sentiment Analysis in Luxembourgish News and Forums (Supervisor).
  • Yaqiong Zheng: Detecting and Incorporating Emotions in a Chatbot (Supervisor)
  • Simon Bandella: Learning a Distance Function for Symbols and Evaluating their Performances on Historic Maps (Supervisor).
  • Mike Pereira Goncalves: Machine Learning Approaches for Collaborative Context-Aware Mobile Learning (co-Supervisor).
  • Lucian Trestioreanu: Holographic Visualization of Radiology Data and Automated Machine Learning-based Medical Image Segmentation (co-Supervisor).
  • Mihail Antonov Tachev: Comparative Study of Machine Learning Techniques for Subfound Classification (Reviewer).
  • Mike Pereira Goncalves: Machine Learning Approaches for Collaborative Context-aware Mobil Learning (Reviewer).
  • Lucian Trestioreanou: Holographic Visualization of Radiology Data and Automated ML-Based Image Segmentation (Reviewer).
2017
  • Yan Medernach: Teammate and opponent recognition for Luxembourg United Deep learning approach in the autonomous robot football (Supervisor).
  • Claudio Cimarelli: Improving cooperation game for robot soccer competitions using machine learning techniques applied to dynamic role assignment (Supervisor).
  • Maciej Zurad: Deep Convolutional Neural Network for 6-DOF Image Localization (Reviewer).
2016
  • Kristjan Kelt: Vision-based human detection for aerial images (2016; Reviewer).
  • Ian Muller: Design and Implementation of Web Services for Multiple criteria sorting and ranking (2016, Reviewer).
2015
  • Tahereh Pazouki: Puzzle Solution Verification and Data Mining: A Journey from Geometry and Visual Spatial Math Puzzles to Touch Based Applications (Reviewer).
  • Raphael Sirres: Resolving the Vocabulary Mismatch Problem in Free-Form Code Search - A GitHub Search Engine (Reviewer).
  • Aikaterini Karanasiou: Medical Text Mining using Supervised Machine Learning for the Recognition of Drugs and Disorders (Supervisor)
  • Alain Pfeiffer: Generating cloze key-distractor pairs from texts. University of Luxembourg (Supervisor)
  • Zohreh Baniasadi: Machine Ethics in utiltarian-based Deontic Logic (Reviewer).
2014
  • Rahmi Emre Ocakdan: Implementation of k-Anonymity to protect sensitive data. University of Luxembourg (Supervisor)
  • Cristina Ghet: Preserving innocence and traps perspective in linguistic steganography. University of Luxembourg (Supervisor)
2012
  • Diana Marosin: Changing Enterprise Architectures: Abstract Framework, Revision Procedures and Algorithms. University of Luxembourg (Reviewer)
  • Paul Bicheler:A toolkit for table-based tangible widgets. University of Luxembourg (Reviewer)
2011
  • Sergio Sousa  Intention Detection for BCI-controlled Robots. University of Luxembourg. 2011 (Supervisor)
  • Francois Beckius: A Method for Closed-Loop Brain-Computer-Interface Training Using a 14-Channel EEG. University of Luxembourg (Supervisor)
2010
  • Ronny Heinz: Do you know who you are - using scientific paper abstracts for author profiling. University of Luxembourg (Supervisor)
2009
  • Damien Garot: The n-tier Interactional and Pro-active Architecture of a SCORM Compliant Learning Management System. University of Luxembourg (Reviewer)
2008
  • Cailing Dong: Text Mining and Characterization of Bibliographic Communities. University of Luxembourg.  (Supervisor)
  • Naipeng Dong:  A Fingerprint Engine for Author Profiling. University of Luxembourg.  (Supervisor)
  • Yafang Wang:  Associative Mind-maps for Trust Modeling. University of Luxembourg.  (Supervisor)
  • Claudine Brucks:  Semantic Network Learning from Textual Streams. University of Luxembourg.  (Supervisor)
  • Cynthia Wagner: CoZo+: A framework for Content Zoning of Text Streams. University of Luxembourg.  (Supervisor)
  • Sviatlana Danilava: Attitude Mining zur Erkennung von Modalitaeten.. University of Luxembourg and Goethe-University Frankfurt/Main.  (Reviewer)
  • Jun Ma. University of Luxembourg. (Reviewer).
  • Jayanta Poray. University of Luxembourg.  (Reviewer)
2007
  • Gerard de Melo. Adaptive Multilingual Text Classification using Ontologies Goethe-University Frankfurt/M.. 2007. (Co-Supervisor)
  • Jasmin Dzaferovic. University of Frankfurt. 2007 (Co-Supervisor).
  • Ejikeme Uzoghukwu: Adaptive Netting in Data Streams. University of Luxembourg. 2007 (Supervisor).
  • Conny Uhde: Untersuchungen zur Autorenprofilierung in Texten mit Hilfe eines Clusteringansatzes. . University of Luxembourg and JW Goethe University. 2007. (Supervisor)
Before 2005 (UL's Master program MICS started in 2005)
  • Patrick Duessel: Grid-Mining for Association Rules. University of Potsdam. 2005. (Co-Supervisor).
  • Jihua Xun: Evaluierung von Java-Parsern. JW Goethe-University Frankfurt/Main. 2004. (Co-Supervisor)
  • Sun Qin :  Integration manueller Kategorisierungsregeln in die automatische Kategorisierung im Text Mining (IBM Laboratory and Goethe-University Frankfurt/M. 2003 (Co-Supervisor).
  • Silvia Burst: Erweiterung eines Mining-Szenario fuer die Analyse von Marktdaten nach WpHG Paragraph 9. Goethe-University Frankfurt/M., IBM Laboratory, Boeblingen, and BAFin - Bundesamt fuer Finanzdienstleistungsaufsicht. 2003. (Co-Supervisor)
  • Henry Helff: Analyse des TV-Sehverhaltens fur Database Marketing. Goethe-University Frankfurt/M. Ogilvy & Mather. 1999. (Supervisor)
  • Sascha Slomka: Adaptive Analyse von Finanzdaten mit Regelsystemen. Goethe-University Frankfurt/M. and Gesellschaft fuer Zahlungssysteme. 1999. (Supervisor)
  • Anja Kreis: Anwendung von Data Mining im Wirkstoffdesign. Goethe-University Frankfurt/M. and Bayer, Leverkusen. 1998. (Supervisor)
  • Sascha Kaufmann: TS-SOM: Segmentierung mit selbstorganisierenden Karten am Beispiel von Telekommunikationsdaten. Goethe-University Frankfurt/M. and AT&T, Frankfurt/Main. 1998. (Supervisor)
  • Jochen Schmidt: Korrelationsanalyse von Musterclustern in Zeitreihendaten Goethe-University Frankfurt/M. and Deutsche Bundesbank, Frankfurt/Main. 1998. (Supervisor)
  • Michael Hopf: Anwendung von Data Mining/Knowledge Discovery im Naturstoff Screening (Goethe-University Frankfurt/M. and Aventis, Frankfurt/Main. 1998. (Supervisor)
  • Michaela Pfeifer: MP-KLASS: Ein interaktives Data Mining-Werkzeug zur Entscheidungsfindung innerhalb eines Krankenhausinformationssystems (Goethe-University Frankfurt/M. and SMS, Eschborn. 1997. (Supervisor)
  • Matthias Stemmler: STLearn: Ein Data Mining-Werkzeug zur Klassifikation von Daten mit Hilfe eines baumorientierten Lernverfahrens. Goethe-University Frankfurt/M. 1996. (Supervisor)
  • Isabel Scheiding: Modellierung von HyTime Architectural Forms als Grundlage fuer das Annotieren strukturierter Dokumente. Goethe-University Frankfurt/M Co-supervision. 1996. (Supervisor)
  • Joachim Birken: Entwicklung einer Programmierschnittstelle für repetierenden Betrieb auf einer assoziativen Datenflussarchitektur. Goethe-University Frankfurt/M Co-supervision. 1994. (Supervisor)

and many undergraduate students performing their Bachelor-Theses (BINFO, BICS).



Last updated on: 07 Mar 2023

 

Outreach

Industry

As an IT Architect with IBM R&D (1998 - 2001) and IBM Software Group (2001 - 2003) at Shanghai Stock Exchange (China; Finance), Arcadia (England; Retail), and many others.

Book Chapters

  • P. Gentsch, U. Mueller, C. Schommer: Analytisches CRM in der Praxis: Vorgehensmodell, Praxisbeispiele und Erfolgsfaktoren. In Ahlert et al.: Customer Relationship Marketing im Handel - Strategien, Anwendungen, Erfahrungen. Springer Verlag, 2002.
  • C. Schommer, U. Mueller: Data Mining im eCommerce: ein Fallbeispiel zur erweiterten Logfile-Analyse In HMD - Praxis der Wirtschaftsinformatik. Band 06/2001 Business Intelligence, Vol. 222.
  • C. Schommer, H. Muster, R. Grund: Churn Prediction mit neuronalen Klassifikationsverfahren. In Neuronale Netze im Marketing-Management. Praxisorientierte Einfuehrung in modernes Data-Mining von Klaus-Peter Wiedmann und Frank Buckler. Gabler, zweite Auflage 2003, p 275. ISBN: 978-3409216739.

Industrial Papers

  • C. Schommer: Discovering Fraud Behaviour in Call Detailed Records. SecDay - 2010 Grande Region Security and Reliability Day. Saarbruecken 2010.
  • W. Mayer, C. Schommer: Mobile Patient Record Management through DB2 Everyplace In: Mobile Computing in Medicine, Springer Verlag, Heidelberg, 2002. Bibtex
  • C. Schommer, H.D. Wehle: From VSE/ESA data to Business Intelligence VSE Newsletter G225-4508-21, November 2000, published in VDI-Newsletter 2000.
  • T. Bollinger, C. Schommer, H. D. Wehle: Profitabler Einsatz von Data Mining im Customer Relationship am Beispiel der Investitionsgueterindustrie In: VDI-Berichte, Band 1381 Computational Intelligence - Neuronale Netze - Evolutionaere Algorithmen - Fuzzy Control im industriellen Einsatz. 2000.
  • T. Bollinger, C. Schommer, H.D. Wehle: Vorhersage von Lieferzeiten. IS Report - Zeitschrift fuer betriebswirtschaftliche Informationssysteme. 4. Jahrgang, 6/2000.
  • C. Schommer: Data Mining: die Suche nach versteckten Informationen im Data Warehouse Proceedings 7. Kolloquium Software - Entwicklungen, Methoden, Werkzeuge. Ostfildern, September 1997.

Tutorials

  • C. Schommer: IBM Intelligent Miner for Data. University of Potsdam, Dept. of Computer Science. May 30, 2002.
  • C. Schommer: Application of Data Mining in Medicine, AIME 2001, European Society for Artificial Intelligence in Medicine, Cascais, Portugal, 2001.
  • S. Bayerl, C. Schommer: Mining in eCommerce Systems, 12th Conference on Advanced Information Systems Engineering (CAiSE), 2000, Stockholm, Sweden



Last updated on: 20 Mar 2023

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2022

Hosseini Kivanani, N., Asadi, H., Schommer, C., & Volker, D. (2022, July). A comparative study of automatic classifiers to recognize speakers based on fricatives. Poster session presented at 1st Interdisciplinary Conference on Voice Identity (VoiceID): Perception, Production, and Computational Approaches, Zurich, Switerzland.
Leiva, L. A., Pruski, C., Markovich, R., Najjar, A., & Schommer, C. (Eds.). (2022). Artificial Intelligence and Machine Learning - 33rd Benelux Conference on Artificial Intelligence, BNAIC/Benelearn 2021, Esch-sur-Alzette, Luxembourg, November 10-12, 2021, Revised Selected Papers. Springer.
Najjar, A., Hosseini Kivanani, N., Tchappi Haman, I., Mualla, Y., Van der Peijl, E., Karpati, D., & Schommer, C. (2022). XAI: Using Smart Photobooth for Explaining History of Art. XAI: Using Smart Photobooth for Explaining History of Art (pp. 256-259).
Sirajzade, J., Bouvry, P., & Schommer, C. (2022). Deep Mining Covid-19 Literature. Applied Informatics, 5th International Conference, ICAI 2022, Arequipa, Peru, October 27–29, 2022, Proceedings (pp. 121–133). Springer Cham.
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2021

Leiva, L. A., Pruski, C., Markovich, R., Najjar, A., & Schommer, C. (Eds.). (2021). Proceedings of BNAIC/BeneLearn 2021. Luxembourg: BnL.
Schommer, C. (2021). About AI and Arts. Paper presented at AI and Arts Workshop, Belval-Université, Luxembourg.
Schommer, C. (2021). Future living with AI and IA. Paper presented at 33rd Benelux Conference on Artificial Intelligence (BNAIC), Belval-Université, Luxembourg.
Schommer, C. (2021). The Future of Living with AI. Paper presented at International Symposium "The Future of Living"; https://www.bozar.be/en/calendar/symposium-future-living, Brussels, Belgium.
Schommer, C. (2021). Getting Creative - AI and Arts. Paper presented at AIFA - Artificial Intelligence and the Future of Arts 2021, CCH, UL, Luxembourg.
Schommer, C. (2021). Ist die Künstliche Intelligenz für oder gegen die Menschheit? Paper presented at Les cylcles de l'UNESCO, Bibliothèque Nationale du Luxembourg, Kirchberg, Luxembourg.
Schommer, C., Sauter, T., Pang, J., Satagopam, V., Despotovic, V., & Goncalves, J. (2021). Proceedings of the AI4Health Lecture Series (2021). Paper presented at AI4Health Lectures Series (2021), Campus Belval, University of Luxembourg, Luxembourg.
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2020

Despotovic, V., Skovranek, T., & Schommer, C. (2020). Speech Based Estimation of Parkinson’s Disease Using Gaussian Processes and Automatic Relevance Determination. Neurocomputing, 401, 173-181.
Kamlovskaya, E., & Schommer, C. (2020, September 29). Using word embeddings to explore the Aboriginality discourse in a corpus of Australian Aboriginal autobiographies. Paper presented at Synergies: Bridging the Gap Between Traditional and Digital Literary Studies, Denmark.
Schommer, C. (2020). The potential of Language Technology and AI. Paper presented at European Language Resource Coordination (ELRC) Workshop, Virtually, via Webex (Organisation: DFKI Saarbrücken, Germany), Virtually.
Schommer, C. (2020, March 28). Eine Doktorarbeit zu beginnen, ist (relativ) leicht. Luxemburger Wort, p. 10.
Schommer, C. (2020). Zwei Doktorarbeiten zwischen Geist und Informatik. Eprint/Working paper retrieved from https://wwwen.uni.lu/university/news/latest_news/zwei_doktorarbeiten_zwischen_geist_und_informatik.
Schommer, C., Sauter, T., Pang, J., & Abankwa, D. (2020). Proceedings of the AI4Health Lecture Series (2020). Paper presented at AI4Health Lectures Series (2020), Campus Belval, University of Luxembourg, Luxembourg.
Sharma, R., Schommer, C., & Vivarelli, N. (2020). Building up Explainability in Multi-layer Perceptrons for Credit Risk Modeling. In R., Sharma, Building up Explainability in Multi-layer Perceptrons for Credit Risk Modeling (pp. 2).
Sirajzade, J., Gierschek, D., & Schommer, C. (2020). An Annotation Framework for Luxembourgish Sentiment Analysis. In L., Besacier, S., Sakti, C., Soria, & D., Beermann (Eds.), Proceedings of the LREC 2020 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020) (pp. 172-176). Paris, France: European Language Resources Association (ELRA).
Sirajzade, J., Gierschek, D., & Schommer, C. (2020). Component Analysis of Adjectives in Luxembourgish for Detecting Sentiments. In D., Beermann, L., Besacier, S., Sakti, & C., Soria (Eds.), Proceedings of the LREC 2020 1st Joint SLTU and CCURL Workshop(SLTU-CCURL 2020) (pp. 159-166). Paris, France: European Language Resources Association (ELRA).
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2019

Gierschek, D., Gilles, P., Purschke, C., Schommer, C., & Sirajzade, J. (2019). A Temporal Warehouse for Modern Luxembourgish Text Collections. Paper presented at DHBeNeLux 2019, Liège, Belgium.
Guo, S., Höhn, S., & Schommer, C. (2019). A Personalized Sentiment Model with Textual and Contextual Information. The SIGNLL Conference on Computational Natural Language Learning, Hong Kong 3-4 November 2019.
Guo, S., Höhn, S., & Schommer, C. (2019). Topic-based Historical Information Selection for Personalized Sentiment Analysis. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges 24-26 April 2019.
Guo, S., Höhn, S., & Schommer, C. (2019). Looking into the Past: Evaluating the Effect of Time Gaps in a Personalized Sentiment Model. ACM/SIGAPP Symposium On Applied Computing, Limassol 8-12 April 2019.
Guo, S., Höhn, S., Xu, F., & Schommer, C. (2019). Personalized Sentiment Analysis and a Framework with Attention-Based Hawkes Process Model. Agents and Artificial Intelligence. Springer.
Schommer, C. (2019). Künstliche Intelligenz für die Medizin. Luxemburger Wort, 244(171), p. 16-17.
Schommer, C. (2019). Ein europäisches CERN für die Künstliche Intelligenz. Luxemburger Wort, 170(298), p. 18.
Sirajzade, J., & Schommer, C. (2019). The LuNa Open Toolbox for the Luxembourgish Language. In P., Perner (Ed.), Advances in Data Mining, Applications and Theoretical Aspects, Poster Proceedings 2019. Leipzig, Germany: ibai publishing.
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2018

Bouvry, P., Bisdorff, R., Schommer, C., Sorger, U., Theobald, M., & van der Torre, L. (2018). Proceedings - 2017 ILILAS Distinguished Lectures. Luxembourg, Luxembourg: University of Luxembourg.
Bustan S, Gonzalez-Roldan AM, Schommer, C., Kamping S, Löffler M, Brunner M, Flor H, & Anton, F. (2018, July). Psychological, cognitive factors and contextual influences in pain and pain-related suffering as revealed by a combined qualitative and quantitative assessment approach. PLoS ONE.
Guo, S., Höhn, S., Xu, F., & Schommer, C. (2018). PERSEUS: A Personalization Framework for Sentiment Categorization with Recurrent Neural Network. International Conference on Agents and Artificial Intelligence , Funchal 16-18 January 2018 (pp. 9).
Guo, S., & Schommer, C. (2018, September 10). A Bilingual Study for Personalized Sentiment Model PERSEUS. Paper presented at PhD Forum at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Dublin, Ireland.
Kamlovskaya, E., Schommer, C., & Sirajzade, J. (2018). A Dynamic Associative Memory for Distant Reading. International Conference on Artificial Intelligence Humanities, Book of Abstracts. Seoul, Korea: Chung-Ang University.
Leyers, P., & Schommer, C. (Other coll.). (2018, August 31). Maschinen nach menschlichem Vorbild. Luxemburger Wort.
Sirajzade, J., & Schommer, C. (2018). Mind and Language. AI in an Example of Similar Patterns of Luxembourgish Language. International Conference on Artificial Intelligence Humanities, Book of Abstracts (pp. 2). Seoul, Korea: Chung-Ang University.
Vijayakumar, B., Höhn, S., & Schommer, C. (2018). Quizbot: Exploring Formative Feedback with Conversational Interfaces. In B., Vijayakumar, S., Höhn, & C., Schommer, Proceedings of the. Springer.
Zheng, Y., Guo, S., & Schommer, C. (2018). An Approach to Incorporate Emotions in a Chatbot with Seq2Seq Model. Benelux Conference on Artificial Intelligence, ‘s-Hertogenbosch 8-9 November 2018.
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2017

Guo, S., & Schommer, C. (2017). Embedding of the Personalized Sentiment Engine PERSEUS in an Artificial Companion. International Conference on Companion Technology, Ulm 11-13 September 2017. IEEE.
Höhn, W., & Schommer, C. (2017). Georeferencing of Place Markers in Digitized Early Maps by Using Similar Maps as Data Source. Digital Humanities 2017: Conference Abstracts.
Höhn, W., & Schommer, C. (2017). RAT 2.0. Digital Humanities 2017: Conference Abstracts.
Schommer, C. (2017, January 27). Q&A with Data Scientists: Christopher Schommer. Operational Database Management Systems.
van Dijk, T., & Schommer, C. (Eds.). (2017). Proceedings of the 2nd International Workshop on Exploring Old Maps (2nd). Würzburg, Germany: University of Würzburg.
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2016

Bustan, S., Gonzalez-Roldan, A. M., Schommer, C., Kamping, S., Loeffler, M., Brunner, M., Flor, H., & Anton, F. (2016, November). Facteurs psychologiques, cognitifs et les influences contextuelles dans la douleur et la souffrance liée à la douleur. Poster session presented at 16e congrès national de la société française d'étude et de traitement de la douleur (SFETD), Bordeaux, France.
Höhn, W., & Schommer, C. (2016, July). Annotating and Georeferencing of Digitized Early Maps. Poster session presented at Digital Humanities 2016.
Höhn, W., & Schommer, C. (2016, June). RAT: A Referencing and Annotation Tool for Digitized Early Maps. Paper presented at DHBenelux Cconference 2016, Luxembourg.
van Dijk, T., & Schommer, C. (Eds.). (2016). Proceedings International Workshop Exploring Old Maps 2016. Luxembourg, Luxembourg: University of Luxembourg.
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2015

Höhn, S., Busemann, S., Max, C., Schommer, C., & Ziegler, G. (2015, September). Interaction Profiles for an Artificial Conversational Companion. Paper presented at International Symposium on Companion Technology, Ulm, Germany.
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2014

Bouleau, F., & Schommer, C. (2014). Finding Outliers in Satellite Patterns by Learning Pattern Identities. In J., Filipe & A., Fred (Eds.), Proceedings "6th International Conference on Agents an Artificial Intelligence".
Kampas, D., Schommer, C., & Sorger, U. (2014). A Hidden Markov Model to detect relevance in nancial documents based on on/off topics. European Conference on Data Analysis.
Schommer, C. (2014). Sentiment Barometer in Financial News (-). Luxembourg, Luxembourg: Internal Report.
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2013

Bouleau, F., & Schommer, C. (2013). Outlier Identification in Spacecraft Monitoring Data using Curve Fitting Information. Proceedings ECDA.
Danilava, S., Busemann, S., Schommer, C., & Ziegler, G. (2013). Towards Computational Models for a Long-term Interaction with an Artificial Conversational Companion. Proceedings "5th International Conference on Agents an Artificial Intelligence" (pp. 241-248).
Danilava, S., Busemann, S., Schommer, C., & Ziegler, G. (2013). Why are you Silent? - Towards Responsiveness in Chatbots. Avec le Temps! Time, Tempo, and Turns in Human-Computer Interaction". Workshop at CHI 2013, Paris, France.
Kampas, D., & Schommer, C. (2013). A Hybrid Classification System to find News that is relevant. ECDA 2013.
Minev, M., & Schommer, C. (2013). News Representation with Multi-Word Features. Proceedings ECDA.
Minev, M., & Schommer, C. (2013). Domain-driven news representation using conditional attribute-value pairs. In N., Ferro (Ed.), PROMISE Winter School 2013: Bridging between Information Retrieval and Databases. Springer Publishing.
Schommer, C., Kampas, D., & Bersan, R. (2013). A Prospect on How to Find the Polarity of a Financial News by Keeping an Objective Standpoint. Proceedings ICAART 2013.
Schommer, C., Minev, M., Grammatikos, T., & Schaefer, U. (2013). Feature Extraction and Representation for Economic Surveys. Poster session presented at Bridging between Information Retrieval and Databases.
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2012

Danilava, S., Busemann, S., & Schommer, C. (2012). Artificial Conversational Companions A Requirements Analysis. Proceedings "4th International Conference on Agents and Artificial Intelligence" (pp. 282-289). SciTePress 2012.
Danilava, S., Schommer, C., & Ziegler, G. (2012). Long-term Human-machine Interaction: Organisation and Adaptability of Talk-in-interaction. CHIST-ERA Conference, Edinburgh, Scotland.
Minev, M., Schommer, C., & Grammatikos, T. (2012). News and stock markets: A survey on abnormal returns and prediction models. Technical Report, UL.
Poray, J., & Schommer, C. (2012). Operations on Conversational Mind-Graphs. Proceedings "4th International Conference on Agents and Artificial Intelligence" (pp. 511-514). SciTePress.
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2010

Kaufmann, S., & Schommer, C. (2010). Towards E-Conviviality in Web-Based Systems by considering the Wisdom of Crowds. Abstract book of 2nd Conference on Agents and Artificial Intelligence (ICAART 2010), 305 - 307.
Poray, J., & Schommer, C. (2010). Managing Conversational Streams with Explorative Mind-Maps. Proceedings "AICCSA" (pp. 1 - 4).
Schommer, C. (2010). A Molecular Concept of Managing Data. Abstract book of 2nd Conference on Agents and Artificial Intelligence (ICAART 2010), 300-305.
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2009

Kaufmann, S., & Schommer, C. (2009). e-Conviviality in Web Systems by the Wisdom of Crowds. Abstract book of 4th ICITST09 - International Conference for Internet Technology and Secured Transactions, 74-76.
Poray, J., & Schommer, C. (2009). A Cognitive Mind-Map Framework to Foster Trust. Proceedings "Fifth International Conference on Natural Computation, ICNC 2009" (pp. 3-7).
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2008

Brucks, C., Hilker, M., Schommer, C., Wagner, C., & Weires, R. (2008). Symbolic Computing with Incremental Mind-maps to Manage and Mine Data Streams - Some Applications. Abstract book of 4th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy'08). ECAI 2008, 120-125.
Hilker, M., & Schommer, C. (2008). Service Oriented Architecture in Network Security - a novel Organisation in Security Systems. Abstract book of 3rd International Workshop on Theory of Computer Viruses (TCV 2008), 120-125.
Kaufmann, S., Schommer, C., & Weires, R. (2008). SEREBIF - Search Engine Result Enhancement by Implicit Feedback. Proceedings WebIst (pp. 263-266).
Schommer, C. (2008). Sieving publishing communities in DBLP. Proceedings "Third IEEE International Conference on Digital Information Management (ICDIM)" (pp. 621-625).
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2007

Brucks, C., Hilker, M., Schommer, C., Wagner, C., & Weires, R. (2007). Semi-automated Content Zoning of Spam Emails. Lecture Notes on Business Information Processing. Web Information Systems and Technologies, 35-44.
Brucks, C., Hilker, M., Schommer, C., Wagner, C., & Weires, R. (2007). Semi-automated Content Zoning of Spam Emails. Proceedings "WebIst" (pp. 35-44).
Hilker, M., & Schommer, C. (2007). SANA - Network Protection through artificial Immunity. Abstract book of 2nd International Workshop on Theory of Computer Viruses (TCV 2007), 120-125.
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2006

Hilker, M., & Schommer, C. (2006). AGNOSCO - Identification of Infected Nodes with artificial Ant Colonies.
Hilker, M., & Schommer, C. (2006). AGNOSCO - Identification of Infected Nodes with artificial Ant Colonies. Abstract book of 6th International Conference on Recent Advances in Soft Computing (RASC 2006), 120-125.
Hilker, M., & Schommer, C. (2006). SANA - Security Analysis in Internet Traffic through Artificial Immune Systems. Technical Documentary Report. United States. Air Force. Systems Command. Electronic Systems Division.
Hilker, M., & Schommer, C. (2006). Description of bad-signatures for Network Intrusion Detection. Proceedings of the 4th. Australasian Information Security Workshop (AISW-NetSec 2006).
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2005

Hilker, M., & Schommer, C. (2005). A new queueing strategy for the Adversarial Queueing Theory. IPSI-2005, 120-125.
Schommer, C., & Schroeder, B. (2005). ANIMA: Associate Memories for Categorical data Streams. Abstract book of 3rd International Conference on Computer Science and its Applications (ICCSA-2005), 120-125.
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2004

Schommer, C. (2004). An incremental neural-based method to discover temporal skeletons in transactional data streams. Abstract book of 5th Recent Advances in Soft Computing (RASC 2004), 80-85.
Schommer, C. (2004). An SQL-like interface to retrieve associative patterns from neural skeletons. Proceedings 2004 International Conference on Advances in Intelligent Systems - Theory and Applications, 80-85.
Schommer, C. (2004). Incremental Discovery of Association Rules with Dynamic Neural Cells. Workshop on Symbolic Networks. ECAI 2004, 10-15.
Schroeder, B., Hansen, F., & Schommer, C. (2004). A methodology for pattern discovery in tennis rallys using the adaptive framework ANIMA. Workshop Knowledge Discovery in Data Streams. ECML/PKDD 2005, 10-15.
Sun, Q., Schommer, C., & Lang, A. (2004). Integration of Manual and Automatic Text Categorization. A Categorization Workbench for Text-Based Email and Spam. Proceedings KI 2004 (pp. 156-167).
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2003

Schommer, C. (2003). Anwendung von Data Mining. Shaker Publishing.
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2002

Bayerl, S., Bollinger, T., & Schommer, C. (2002). Applying Mining with Scoring. Data Mining III, 6 (pp. 757-766). WIT Press.
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2001

Andersen, C., Bayerl, S., Bent, G., Lee, J., & Schommer, C. (2001). Mining your own Business Vol. 3 - Telecommunication. UNiterd States: IBM Press.
Andersen, C., Bayerl, S., Bent, G., Lee, J., & Schommer, C. (2001). Mining your own Business Vol. 4 - Health Care. Uniterd States: IBM Press.
Andersen, C., Bayerl, S., Bent, G., Lee, J., & Schommer, C. (2001). Mining your own Business Vol 2 - Finance. United States: IBM Press.
Andersen, C., Bayerl, S., Bent, G., Lee, J., & Schommer, C. (2001). Mining your own Business in Retail Volume 1 - Retail. United States: IBM Press.
Müller, U., & Schommer, C. (2001). Data Mining im eCommerce: ein Fallbeispiel zur erweiterten Logfile-Analyse. HMD - Praxis der Wirtschaftsinformatik, 06/2001 (pp. 59-69). dpunkt Publishing.
Schommer, C. (2001). Konfirmative und explorative Synergiewirkungen im erkenntnisorientierten Informationsyzyklus von BAIK. AKA Publishing.
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URL:  https://wwwen.uni.lu/research/fstm/interdisciplinary_lab_for_intelligent_and_adaptive_systems_ilias/members/christoph_schommer Date:  Monday, 27 March 2023, 02:40