Mark Cieliebak
Solving the robots gathering problem
M Cieliebak, P Flocchini, G Prencipe, N Santoro
International Colloquium on Automata, Languages, and Programming, 1181-1196, 2003
Distributed computing by mobile robots: Gathering
M Cieliebak, P Flocchini, G Prencipe, N Santoro
SIAM Journal on Computing 41 (4), 829-879, 2012
Leveraging large amounts of weakly supervised data for multi-language sentiment classification
J Deriu, A Lucchi, V De Luca, A Severyn, S Müller, M Cieliebak, ...
Proceedings of the 26th international conference on world wide web, 1045-1052, 2017
AUDENS: a tool for automated peptide de novo sequencing
J Grossmann, FF Roos, M Cieliebak, Z Lipták, LK Mathis, M Müller, ...
Journal of proteome research 4 (5), 1768-1774, 2005
Gathering Autonomous Mobile Robots.
M Cieliebak, G Prencipe
SIROCCO 9, 57-72, 2002
Scheduling with release times and deadlines on a minimum number of machines
M Cieliebak, T Erlebach, F Hennecke, B Weber, P Widmayer
Exploring new frontiers of theoretical informatics, 209-222, 2004
Survey on evaluation methods for dialogue systems
J Deriu, A Rodrigo, A Otegi, G Echegoyen, S Rosset, E Agirre, ...
Artificial Intelligence Review 54 (1), 755-810, 2021
A twitter corpus and benchmark resources for german sentiment analysis
M Cieliebak, JM Deriu, D Egger, F Uzdilli
Proceedings of the Fifth International Workshop on Natural Language …, 2017
Gathering non-oblivious mobile robots
M Cieliebak
Latin American Symposium on Theoretical Informatics, 577-588, 2004
Transfer learning and sentence level features for named entity recognition on tweets
P Von Däniken, M Cieliebak
3rd Workshop on Noisy User-generated Text (W-NUT), Copenhagen, Denmark, 7 …, 2017
Noisy Data Make the Partial Digest Problem NP-hard
M Cieliebak, S Eidenbenz, P Penna
International Workshop on Algorithms in Bioinformatics, 111-123, 2003
Algorithmic complexity of protein identification: Combinatorics of weighted strings
M Cieliebak, T Erlebach, Z Lipták, J Stoye, E Welzl
Discrete Applied Mathematics 137 (1), 27-46, 2004
Potential and Limitations of Commercial Sentiment Detection Tools.
M Cieliebak, O Dürr, F Uzdilli
ESSEM@ AI* IA, 47-58, 2013
On the Complexity of Variations of Equal Sum Subsets.
M Cieliebak, SJ Eidenbenz, A Pagourtzis, K Schlude
Nord. J. Comput. 14 (3), 151-172, 2008
Fully convolutional neural networks for newspaper article segmentation
B Meier, T Stadelmann, J Stampfli, M Arnold, M Cieliebak
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
Swiss-chocolate: Sentiment detection using sparse SVMs and part-of-speech n-grams
M Jaggi, F Uzdilli, M Cieliebak
Proceedings of the 8th International Workshop on Semantic Evaluation …, 2014
Measurement Errors Make the Partial Digest Problem NP-Hard
M Cieliebak, S Eidenbenz
Latin American Symposium on Theoretical Informatics, 379-390, 2004
Applied data science in Europe: Challenges for academia in keeping up with a highly demanded topic
T Stadelmann, K Stockinger, M Braschler, M Cieliebak, G Baudinot, ...
9th European Computer Science Summit, Amsterdam, Niederlande, 8-9 October 2013, 2013
Sentiment analysis using convolutional neural networks with multi-task training and distant supervision on italian tweets
JM Deriu, M Cieliebak
Fifth Evaluation Campaign of Natural Language Processing and Speech Tools …, 2016
AuDeNS: a tool for automatic de novo peptide sequencing
S Baginsky, M Cieliebak, W Gruissem, T Kleffmann, Z Lipták, M Müller, ...
Technical Report/ETH Zurich, Department of Computer Science 383, 2002
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