Publications

Journal Publications (peer reviewed)

  1. Survey on Evaluation Methods for Dialogue Systems. Jan Deriu, Alvaro Rodrigo, Arantxa Otegi, Guillermo Echegoyen, Sophie Rosset, Eneko Agirre, Mark Cieliebak. Artificial Intelligence Review, 2020.
  2. Natural Language Processing in Arts Management. Mark Cieliebak, Fernando Benites, Lara Leuschen, Michaela Hnizda, Diana Betzler. Journal of Culture Management: Arts, Economics, Policy, 2019, 5(1): 119-142.
  3. Distributed Computing by Mobile Robots: Gathering. Mark Cieliebak, Paola Flocchini, Giuseppe Prencipe, and Nicola Santoro. SIAM Journal on Computing2012, 41(4): 829-879.
  4. On the Complexity of Variations of Equal Sum Subsets. Mark Cieliebak, Stephan Eidenbenz, Aris Pagourtzis, Konrad Schlude. Nordic Journal of Computing, 2008, 14: 151-172.
  5. Sequential vector packing. Mark Cieliebak, Alexander Hall, Riko Jacob, Marc Nunkesser. Theoretical Computer Science, 2008, 409: 351 – 363.
  6. Finding Submasses in Weighted Strings with Fast Fourier Transform. Nikhil Bansal, Mark Cieliebak, and Zsuzsanna Liptàk. Discrete Applied Mathematics (DAM), Special Issue on Computational Biology, 2007.
  7. Partial Digest is Hard to Solve for Erroneous Input Data. Mark Cieliebak, Stephan Eidenbenz, and Paolo Penna. Theoretical Computer Science, 2005, 349(3): 361-381.
  8. AUDENS: A Tool for Automated Peptide de Novo Sequencing. Jonas Grossmann, Franz F. Roos, Mark Cieliebak, Zsuzsanna Lipták, Lucas K. Mathis, Matthias Müller, Wilhelm Gruissem, and Sacha Baginsky. Journal of Proteome Research, 2005, 4(5): 1768-1774.
  9. Complexity and Approximability of Double Digest. Mark Cieliebak, Stephan Eidenbenz, and Gerhard J. Woeginger. Journal of Bioinformatics and Computational Biology, 2005, 3(2): 207-224.
  10. Algorithmic Complexity of Protein Identification: Combinatorics of Weighted Strings. Mark Cieliebak, Thomas Erlebach, Zsuzsanna Lipták, Jens Stoye, and Emo Welzl. Discrete Applied Mathematics (DAM), 2004, 137(1): 27-46.

Monographs

  1. Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS). Sarah Ebling, Don Tuggener, Manuela Hürlimann, Mark Cieliebak, and Martin Volk (eds.). CEUR Workshop Proceedings, ISSN 1613-0073, vol. 2624, June 2020.
  2. Proceedings of the 4th Swiss Text Analytics Conference (SwissText 2019). Mark Cieliebak, Don Tuggener and Fernando Benites (eds.). CEUR Workshop Proceedings, ISSN 1613-0073, vol. 2458, September 2019.
  3. Proceedings of the 3rd Swiss Text Analytics Conference (SwissText 2018). Mark Cieliebak, Don Tuggener and Fernando Benites (eds.). CEUR Workshop Proceedings, ISSN 1613-0073, vol. 2226, September 2018.

Conference Publications (peer reviewed)

  1. Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue System. Jan Deriu, Don Tuggener, Pius von Däniken, Jon Ander Campos, Alvaro Rodrigo, Thiziri Belkacem, Aitor Soroa, Eneko Agirre, and Mark Cieliebak. Accepted at EMNLP 2020, to appear.
  2. Named Entity Disambiguation at Scale. Ahmad Aghaebrahimian, Mark Cieliebak. 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), Lecture Notes in Computer Science 12294, Springer, 2020, pages 102-110.
  3. A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation. Jan Deriu, Katsiaryna Mlynchyk, Philippe Schläpfer, Alvaro Rodrigo, Dirk von Grünigen, Nicolas Kaiser, Kurt Stockinger, Eneko Agirre, Mark Cieliebak. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020, pages 897-911.
  4. CDoQA – Accessing Domain-Specific FAQs via Conversational QA. Jon Ander Campos1, Arantxa Otegi, Aitor Soroa, Jan Deriu, Mark Cieliebak, Eneko Agirre. 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020, pages 7302-7314.
  5. CEASR: A Corpus for Evaluating Automatic Speech Recognition. Malgorzata Anna Ulasik, Manuela Hürlimann, Fabian Germann, Esin Gedik, Fernando Benites, Mark Cieliebak. 12th International Conference for Language Resources and Evaluation (LREC), 2020 (in print).
  6. LEDGAR: A Large-Scale Multilabel Corpus for Text Classification of Legal Provisions in Contracts. Don Tuggener, Pius von Däniken, Thomas Peetz, Mark Cieliebak. 12th International Conference for Language Resources and Evaluation (LREC), 2020 (in print).
  7. Large Name Transliteration Resource. Fernando Benites, Gilbert Francois Duivesteijn, Pius von Däniken, Mark Cieliebak. 12th International Conference for Language Resources and Evaluation (LREC), 2020 (in print).
  8. Conversational QA for FAQs. Jon Ander Campos, Arantxa Otegi, Aitor Soroa, Jan Deriu, Mark Cieliebak, Eneko Agirre. Conversational AI Workshop at 33rd Conference on Neural Information Processing Systems (NeurIPS), 2019.
  9. Towards a Metric for Automated Conversational Dialogue System Evaluation and Improvement. Jan Deriu and Mark Cieliebak. 12th International Conference on Natural Language Generation (INLG), 2019.
  10. Matching Words and Knowledge Graph Entities with Meta-Embeddings. Damien Sileo, Camille Pradel, Guillermo Echegoyen, Anselmo Peñas, Arantxa Otegi, Jan Deriu, Mark Cieliebak, Ander Barrena, Eneko Agirre. 21st Conference on Machine Learning (CAp), 2019, pages 34-39.
  11. Correlating Twitter Language with Community-Level Health Outcomes. Arno Schneuwly, Ralf Grubenmann, Séverine Rion Logean, Mark Cieliebak, Martin Jaggi. 4th Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, 2019, pages 71-78.
  12. Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks. Ahmad Aghaebrahimian and Mark Cieliebak. 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019, pages 5551-5557.
  13. Hyperparameter Tuning for Deep Learning in Natural Language Processing. Ahmad Aghaebrahimian and Mark Cieliebak. 4th Swiss Text Analytics Conference (SwissText), 2019.
  14. Towards Understanding Lifelong Learning for Dialogue Systems. Mark Cieliebak, Olivier Galibert, Jan Deriu. Dialogue Systems and Lifelong Learning, Workshop at International Workshop on Spoken Dialogue Systems Technology, 2019.
  15. Syntactic Manipulation for Generating more Diverse and Interesting Texts. Jan Deriu, Mark Cieliebak. 11th International Conference on Natural Language Generation (INLG), 2018, pages 22-34.
  16. SB-CH: A Swiss German Corpus with Sentiment Annotations. Ralf Grubenmann, Don Tuggener, Pius von Däniken, Jan Deriu, and Mark Cieliebak. 11th International Conference on Language Resources and Evaluation (LREC)2018.
  17. Best Practices in E-Assessments with a Special Focus on Cheating Prevention. Dirk von Grünigen, Fernando Benites de Azevedo e Souza, Beatrice Pradarelli, Amani Magid, Mark Cieliebak. IEEE Global Engineering Education Conference (EDUCON), 2018.
  18. Fully Convolutional Neural Networks for Newspaper Article Segmentation. Benjamin Meier, Thilo Stadelmann, Jan Stampfli, Marek Arnold, and Mark Cieliebak. 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017.
  19. How to throw Chocolate at Students: A Survey of Extrinsic Means for Increased Audience Attention. Mark Cieliebak, Amani Magid, and Beatrice Pradarelli. IEEE Global Engineering Education Conference (EDUCON), 2017.
  20. Potential and Limitations of Cross-Domain Sentiment Classification. Dirk von Grünigen, Martin Weilenmann, Jan Deriu, and Mark Cieliebak. 5th International Workshop on Natural Language Processing for Social Media (SocialNLP), 2017.
  21. A Twitter Corpus and Benchmark Resources for German Sentiment Analysis. Mark Cieliebak, Jan Deriu, Dominic Egger and Fatih Uzdilli. 5th International Workshop on Natural Language Processing for Social Media (SocialNLP), 2017.
  22. Leveraging large amounts of weakly supervised data for multi-language sentiment classification. Jan Deriu, Aurelien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi. 26th International World Wide Web Conference (WWW), 2017.
  23. Influence of Flipped Classroom on Technical Skills and Non-Technical Competences of IT Students. Mark Cieliebak and Andrea Keck Frei. IEEE Global Engineering Education Conference (EDUCON), 2016.
  24. Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools. Mark Cieliebak, Oliver Dürr, and Fatih Uzdilli. 9th International Conference on Language Resources and Evaluation (LREC 2014), 2014,.
  25. Potential and Limitations of Commercial Sentiment Detection Tools. Mark Cieliebak, Oliver Dürr, and Fatih Uzdilli. 1st International Workshop on Emotion and Sentiment in Social and Expressive Media: Approaches and Perspectives from AI (ESSEM), 2013.
  26. Applied Data Science in Europe. Thilo Stadelmann, Kurt Stockinger, Martin Braschler, Mark Cieliebak, Gerold Baudinot, Oliver Dürr, and Andreas Ruckstuhl. European Computer Science Summit (ECCS), 2013.
  27. Sequential Vector Packing. Mark Cieliebak, Alexander Hall, Riko Jacob, and Marc Nunkesser. International Symposium on Combinatorics, Algorithms, Probabilistic and Experimental Methodologies (ESCAPE), 2007.
  28. Efficient Algorithms for Detecting Regular Point Configurations. Luzi Anderegg, Mark Cieliebak, and Giuseppe Prencipe. 9th Italian Conference on Theoretical Computer Science (ICTCS), 2005.
  29. Scheduling with Release Times and Deadlines on a Minimum Number of Machines. Mark Cieliebak, Thomas Erlebach, Fabian Hennecke, Birgitta Weber, and Peter Widmayer. IFIP International Conference on Theoretical Computer Science (IFIP TCS), 2004.
  30. Efficient Algorithms for Finding Submasses in Weighted Strings. Nikhil Bansal, Mark Cieliebak, and Zsuzsanna Lipták. Combinatorial Pattern Matching (CPM), 2004,.
  31. Gathering Non-Oblivious Mobile Robots. Mark Cieliebak. Latin American Theoretical Informatics (LATIN), 2004.
  32. Measurement Errors Make the Partial Digest Problem NP-hard. Mark Cieliebak and Stephan Eidenbenz. Latin American Theoretical Informatics (LATIN), 2004,.
  33. Noisy Data Make the Partial Digest Problem NP-hard. Mark Cieliebak, Stephan Eidenbenz, and Paolo Penna. 4th International Workshop on Algorithms in Bioinformatics (WABI), 2003.
  34. Composing Equipotent Teams. Mark Cieliebak, Stephan Eidenbenz, and Aris Pagourtzis. 14th International Smyposium Funcamentals of Computation Theory (FCT), 2003.
  35. Solving the Robots Gathering Problem. Mark Cieliebak, Paola Flocchini, Giuseppe Prencipe, and Nicola Santoro. 30th International Conference on Automata, Languages and Programming (ICALP), 2003.
  36. Double Digest Revisited: Complexity and Approximability in the Presence of Noisy Data. Mark Cieliebak, Stephan Eidenbenz, and Gerhard J. Woeginger. 9th Annual International Conference on Computing and Combinatorics (COCOON), 2003.
  37. Algorithmic Complexity of Protein Identification: Searching in Weighted Strings. Mark Cieliebak, Thomas Erlebach, Zsuzsanna Lipták, Jens Stoye, and Emo Welzl. IFIP International Conference on Theoretical Computer Science (IFIP TCS), 2002.
  38. Gathering Autonomous Mobile Robots. Mark Cieliebak and Giuseppe Prencipe. Colloquium on Structural Information & Communication Complexity (SIROCCO), 2002.

System Descriptions at Shared Tasks

  1. ZHAW-InIT – Social Media Geolocation at VarDial 2020. Fernando Benites, Manuela Hürlimann, Pius von Däniken, and Mark Cieliebak. Shared Task on Social Media Geolocation (SMG) at 7th Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial), 2020.
  2. ZHAW-InIT at GermEval 2020 Task 4: Low-Resource Speech-to-Text. Matthias Büchi, Malgorzata Anna Ulasik, Manuela Hürlimann, Fernando Benites, Pius von Däniken, and Mark Cieliebak. Low-Resource Speech-to-Text Shared Task at GermEval, 2020.
  3. TwistBytes – Identification of Cuneiform Languages and German Dialects at VarDial 2019. Fernando Benites, Pius von Däniken, and Mark Cieliebak. 6th Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial), 2019.
  4. Fact-aware Abstractive Text Summarization using a Pointer-Generator Network. Valentin Venzin, Jan Deriu, Didier Orel, Mark Cieliebak. German Summarization Challenge at 4th Swiss Text Analytics Conference (SwissText), 2019.
  5. spMMMP at GermEval 2018 Shared Task: Classification of Offensive Content in Tweets using Convolutional Neural Networks and Gated Recurrent Units. Dirk von Grünigen, Fernando Benites, Pius von Dänicken, Ralf Grubenmann, and Mark Cieliebak. GermEval Shared Task at 14th Conference on Natural Language Processing (KONVENS)2018.
  6. Word Unigram Weighing for Author Profiling at PAN 2018 – Notebook for PAN at CLEF 2018. Pius von Dänicken, Ralf Grubenmann, and Mark Cieliebak. CLEF 2018 Evaluation Labs and Workshop – Working Notes Papers (PAN), 2018.
  7. Twist Bytes – German Dialect Identification with Data Mining Optimization. Fernando Benites, Ralf Grubenmann, Pius von Däniken, Dirk von Grünigen, Jan Deriu, Mark Cieliebak. 5th Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial), 2018.
  8. End-to-End Trainable System for Enhancing Diversity in Natural Language Generation. Jan Deriu and Mark Cieliebak. End-to-End Natural Language Generation Challenge (E2E NLG), 2017.
  9. Author Profiling with Bidirectional RNNs using Attention with GRUs – Notebook for PAN at CLEF 2017Don Kodiyan, Florin Hardegger, Stephan Neuhaus, and Mark Cieliebak. CLEF 2017 Evaluation Labs and Workshop – Working Notes Papers (PAN)2017.
  10. Transfer Learning and Sentence Level Features for Named Entity Recognition on Tweets. Pius von Däniken and Mark Cieliebak. 3rd Workshop on Noisy User-generated Text (WNUT)2017.
  11. Swiss Chocolate at CAp 2017 NER Challenge: Partially Annotated Data and Transfer Learning. Nicole Falkner, Stefano Dolce, Pius von Däniken, and Mark Cieliebak. NER Challenge at 19th Conference sur l’Apprentissage Automatique (CAp), 2017.
  12. SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering. Jan Deriu and Mark Cieliebak. 11th International Workshop on Semantic Evaluations (SemEval)2017.
  13. TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision. Simon Müller, Tobias Huonder, Jan Deriu, and Mark Cieliebak. 11th International Workshop on Semantic Evaluations (SemEval)2017.
  14. Sentiment Detection using Convolutional Neural Networks with Multi-Task Training and Distant Supervision on Italian Tweets. Jan Deriu and Mark Cieliebak. Evaluation of NLP and Speech Tools for Italian (EVALITA)2016.
  15. Adverse Drug Reaction Detection using an adapted Sentiment Classifier. Dominic Egger, Fatih Uzdilli, and Mark Cieliebak. Sociel Media Mining Shared Task Workshop at the Pacific Symposium on Biocomputing (PSB)2016.
  16. Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment. Fatih Uzdilli, Martin Jaggi, Dominic Egger, Pascal Julmy, Leon Derczynski, and Mark Cieliebak. 9th International Workshop on Semantic Evaluation (SemEval)2015.
  17. JOINT_FORCES: Unite Competing Sentiment Classifiers with Random Forest. Oliver Dürr, Fatih Uzdilli and Mark Cieliebak. 8th International Workshop on Semantic Evaluation (SemEval)2014,.
  18. Swiss-Chocolate: Sentiment Detection using Sparse SVMs and Part-Of-Speech n-Grams. Martin Jaggi, Fatih Uzdilli, and Mark Cieliebak. 8th International Workshop on Semantic Evaluation (SemEval)2014.

Book Chapters

  1. Flipped Classroom in der Hochschullehre einsetzen. Andrea Keck Frei and Mark Cieliebak. to appear.
  2. Data Products. Jürg Meierhofer, Thilo Stadelmann, and Mark Cieliebak. In: Applied Data Science – Lessons Learned for the Data-Driven Business, by Martin Braschler, Thilo Stadelmann, and Kurt Stockinger (editors). Springer, 2018.
  3. Social Media: Wissen, was Kunden wollen. Mark Cieliebak and Daniel Krebser. In: Erfolgsfaktor Emotionalisierung, by Brian Rüeger and Frank Hannich (editors), Schäffer-Poeschel Verlag, 2010, 261-278.

Other Publications (not peer reviewed, selection)

  1. Overview of the GermEval 2020 Shared Task on Swiss German Language Identification. Pius von Däniken, Manuela Hürlimann, and Mark Cieliebak. GermEval, 2020.
  2. Speech-to-Text Insights. Manuela Hürlimann, Malgorzata Anna Ulasik, Philippe Schläpfer, Fernando Benites de Azevedo E Souza, Katsiaryna Mlynchyk, Pius von Däniken, Flurin Gishamer, Lina Scarborough, Olesya Ogorodnikova, Tracey Etheridge, Nitin Kumar, Badrudin Stanicki and Mark Cieliebak. Poster Abstract at 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), 2020.
  3. A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation. Jan Deriu, Katsiaryna Mlynchyk, Philippe Schläpfer, Alvaro Rodrigo, Dirk von Grünigen, Kurt Stockinger, Eneko Agirre and Mark Cieliebak. Poster Abstract at 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), 2020.
  4. Company Name Disambiguation. Ahmad Aghaebrahimian and Mark Cieliebak. Poster Abstract at 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), 2020.
  5. Social Media Monitoring for Arts Management on the example of the Lake of Constance (Bodensee) region. Fernando Benites, Lara Leuschen, Diana Betzler and Mark Cieliebak. Blog Article at ZHAW Blog, 2020.
  6. SwissNLP – The Swiss Association for Natural Language Processing. Manuela Hürlimann, Manfed Vogel and Mark Cieliebak. Position Paper at Computational Linguistics European nAtional and Regional Associations Meeting (CLEARA-MEET) at LREC, 2020.
  7. Correlating Twitter Language with Community-Level Health Outcomes. Arno Schneuwly, Ralf Grubenmann, Séverine Rion Logean, Mark Cieliebak, Martin Jaggi. arXiv:1906.06465v1, June 13, 2019.
  8. LIHLITH: Learning to Interact with Humans by Lifelong Interaction with Humans. Eneko Agirre, Arantxa Otegi, Camille Pradel, Sophie Rosset, Anselmo Peñas and Mark Cieliebak. Procesamiento del Lenguaje Natural (SEPNL), 2019.
  9. Methods of NLP in Arts Management. Mark Cieliebak, Fernando Benites, Lara Leuschen, Michaela Hnizda, Diana Betzler. Poster Abstract at 8th International Conference on Writing Analytics, 2019.
  10. Survey on Evaluation Methods for Dialogue. Jan Deriu, Alvaro Rodrigo, Arantxa Otegi, Guillermo Echegoyen, Sophie Rosset, Eneko Agirre, and Mark Cieliebak. arXiv: 1905.04071v1, May 10, 2019.
  11. Automatic Speech Recognition Systems Accuracy Evaluation. Fabian Germann, Malgorzata Anna Ulasik, and Mark Cieliebak. Poster Abstract at 4th Swiss Text Analytics Conference (SwissText), 2019.
  12. A Framework for Question-Driven Text Corpus Exploration. Linus Metzler, Nadina Siddiqui, Dominik Steiner, Gezim Zeneli, Nathan Lepori, Jan Albert, Fernando Benites, Don Tuggener, Pius von Däniken and Mark Cieliebak. Demo Abstract at 4th Swiss Text Analytics Conference (SwissText), 2019.
  13. Automatic Transcription of Interviews. Mark Cieliebak, Nicolas Eckhart, Mathias Marxer, and Malgorzata Ulasik. Demo Abstract at 4th Swiss Text Analytics Conference (SwissText), 2019.
  14. LIHLITH : Improving Communication Skills of Robots through Lifelong Learning. Eneko Agirre, Sarah Marchand, Sophie Rosset, Anselmo Penãs, and Mark Cieliebak. ERCIM News (Magazine of the European Research Consortium for Informatics and Mathematics), 2018(114), pages 12-13.
  15. Merging Haystacks to Find Matching Needles: A Transliteration Approach. Fernando Benites, Gilbert Duivesteijn, Pius von Däniken, and Mark Cieliebak. Poster Abstract at 3rd Swiss Text Analytics Conference (SwissText)2018.
  16. Future Actions for Swiss German – Workshop Results at SwissText 2018. Tanja Samardzic, Jan Deriu, and Mark Cieliebak. Workshop Result at 3rd Swiss Text Analytics Conference (SwissText), 2018.
  17. Data Expedition into the Swiss Twitter Corpus. Ralf Grubenmann, William Fallouh, Christoforos Nalmpantis, and Mark Cieliebak. Workshop Result at 3rd Swiss Text Analytics Conference (SwissText), 2018.
  18. A Framework for Text Analytics with Visual Exploration and Machine Learning. Nadina Siddiqui, Linus Metzler, Don Tuggener, and Mark Cieliebak. Fachkonferenz Technik, Architektur und Life Sciences (FTAL), 2018.
  19. LIHLITH: Improving Communication Skills of Robots through Lifelong Learning. Eneko Agirre, Sarah Marchand, Sophie Rosset, Anselmo Peñas, and Mark Cieliebak. ERCIM News 114, 2018.
  20. A Twitter Corpus and Benchmark Resources for German Sentiment Analysis. Jan Deriu, Mark Cieliebak, Dominic Egger, and Fatih Uzdilli. Poster Abstract at 2nd Swiss Text Analytics Conference (SwissText), 2017.
  21. Four Different Ways to Build a Chatbot about Movies. Benites Fernando, Pius von Däniken, Erland Xhoxhaj, Yusuf Koc, Dirk von Gruenigen, Martin Weilenmann, Sandro Panighetti, Matteo Togni, Daniel Zürrer, Hans Daniel Graf, Jan Milan Deriu, Nico Neureiter, Mark Cieliebak.
    Poster Abstract at 2nd Swiss Text Analytics Conference (SwissText), 2017.
  22. Hierarchical Classificaion for News Articles. Fernando Benites and Mark Cieliebak.Poster Abstract at 2nd Swiss Text Analytics Conference (SwissText), 2017.
  23. SwissText 2017: The National Conference for Text Analytics. Mark Cieliebak. Swiss Analytics Magazine, 2017.
  24. Optimising Deep Learning for Infinite Applications in Text Analytics. Mark Cieliebak. Ercim News 1072016.
  25. Deep Learning for Infinite Applications in Text Analytics. Mark Cieliebak. swiTT Report, 2016.
  26. Twitter can Help to Find Adverse Drug Reactions. Mark Cieliebak, Dominic Egger, and Fatih Uzdilli. ERCIM News, 2016, no. 104.
  27. Twitter can Help to Find Adverse Drug Reactions. Mark Cieliebak, Dominic Egger, and Fatih Uzdilli .ERCIM News 1042016
  28. Back to the Future: Time-Travelling-Debugger als Alternative zu klassischen Debuggern. Daniel Schutzbach, Fatih Uzdilli and Mark Cieliebak. Java Magazin2015.
  29. Toward Automatic Data Curation for Open Data. Thilo Stadelmann, Mark Cieliebak and Kurt Stockinger. ERCIM News 1002015.
  30. Flip your classroom – But be aware! Mark Cieliebak. Lifelong Learning in Europe (LLinE)2014.
  31. Social CRM – vom Hype zum Standard. Mark Cieliebak. Swiss IT Magazin (special)2011.
  32. Auswirkungen von Flipped Classroom auf Fachwissen und Kompetenzen von Studierenden. Mark Cieliebak. Zusammenfassung einer Studie. ZHAW, 2014.
  33. Startschuss für die 8. Schweizer Informatikolympiade. Mark Cieliebak and Roland Ulber. Visionen, ETH Zurich2003.
  34. Javakurs: Ein Autointerview mit den Veranstaltern. Alexander Below and Mark Cieliebak. Visionen, ETH Zurich2002.
  35. Statistical Foundations of De Novo Sequencing. Sacha Baginsky, Mark Cieliebak, Jonas Grossmann, Wilhelm Gruissem, Torsten Kleffmann, and Lukas K. Mathis. Poster Abstract, SPS2002.

PhD Theses

  1. Algorithms and Hardness Results for DNA Physical Mapping, Protein Identification, and Related Problems. Mark Cieliebak. Ph.D. Thesis, ETH Zurich, 2003.

Diploma Theses

  1. Attribut-effizientes Lernen in Klassen von symmetrischen Funktionen und Threshold-Funktionen. Mark Cieliebak. Diploma Thesis, University of Dortmund, 1999.

Technical Reports

  1. Scheduling with Release Times and Deadlines on a Minimum Number of Machines. Mark Cieliebak, Thomas Erlebach, Fabian Hennecke, Birgitta Weber, and Peter Widmayer. Technical Report 419, ETH Zurich, 2003.
  2. The Weber Point can be Found in Linear Time for Points in Biangular Configuration. Luzi Anderegg, Mark Cieliebak, and Giuseppe Prencipe. Technical Report TR-03-01, Universitá di Pisa, 2003.
  3. AuDeNS: A Tool for Automatic De Novo Peptide Sequencing. Sacha Baginsky, Mark Cieliebak, Wilhelm Gruissem, Torsten Kleffmann, Zsuzsanna Lipták, and Matthias Müller, and Paolo Penna. Technical Report 383, ETH Zurich, 2002.
  4. Double Digest Revisited: Complexity and Approximability in the Presence of Noisy Data. Mark Cieliebak, Stephan Eidenbenz, and Gerhard J. Woeginger. Technical Report 382, ETH Zurich, 2002.
  5. Noisy Data Make the Partial Digest Problem NP-hard. Mark Cieliebak, Stephan Eidenbenz, and Paolo Penna. Technical Report 381, ETH Zurich, 2002.
  6. Gathering Autonomous Mobile Robots in Non Totally Symmetric Configurations. Mark Cieliebak and Giuseppe Prencipe. Technical Report 379, ETH Zurich, 2002.
  7. Equal Sum Subsets: Complexity of Variations. Mark Cieliebak, Stephan Eidenbenz, Aris Pagourtzis, and Konrad Schlude. Technical Report 370, ETH Zurich, 2002.
  8. Algorithmic Complexity of Protein Identification: Combinatorics of Weighted Strings. Mark Cieliebak, Thomas Erlebach, Zsuzsanna Lipták, Jens Stoye, and Emo Welzl. Technical Report 361, ETH Zurich, 2001.

1.       Flipped Classroom in der Hochschullehre einsetzen. Andrea Keck Frei and Mark Cieliebak. To appear.

 

SwissText 2016: Automatic Text Understanding in Switzerland. Mark Cieliebak. Swiss Analytics Magazin, 2016, page 16.