| Solving the robots gathering problem M Cieliebak, P Flocchini, G Prencipe, N Santoro International Colloquium on Automata, Languages, and Programming, 1181-1196, 2003 | 214 | 2003 |
| Distributed computing by mobile robots: Gathering M Cieliebak, P Flocchini, G Prencipe, N Santoro SIAM Journal on Computing 41 (4), 829-879, 2012 | 193 | 2012 |
| 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 | 141 | 2021 |
| 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 | 129 | 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 | 92 | 2005 |
| Gathering Autonomous Mobile Robots. M Cieliebak, G Prencipe SIROCCO 9, 57-72, 2002 | 86 | 2002 |
| A twitter corpus and benchmark resources for german sentiment analysis M Cieliebak, JM Deriu, D Egger, F Uzdilli 5th International Workshop on Natural Language Processing for Social Media …, 2017 | 75 | 2017 |
| 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 | 67 | 2004 |
| Gathering non-oblivious mobile robots M Cieliebak Latin American Symposium on Theoretical Informatics, 577-588, 2004 | 57 | 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 | 43 | 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 | 38 | 2003 |
| 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 | 34 | 2017 |
| Potential and Limitations of Commercial Sentiment Detection Tools. M Cieliebak, O Dürr, F Uzdilli ESSEM@ AI* IA, 47-58, 2013 | 32 | 2013 |
| 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 | 32 | 2004 |
| 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 | 31 | 2008 |
| DoQA--Accessing Domain-Specific FAQs via Conversational QA JA Campos, A Otegi, A Soroa, J Deriu, M Cieliebak, E Agirre arXiv preprint arXiv:2005.01328, 2020 | 26 | 2020 |
| Measurement Errors Make the Partial Digest Problem NP-Hard M Cieliebak, S Eidenbenz Latin American Symposium on Theoretical Informatics, 379-390, 2004 | 23 | 2004 |
| Author Profiling with bidirectional rnns using Attention with grus: Notebook for PAN at CLEF 2017 D Kodiyan, F Hardegger, S Neuhaus, M Cieliebak CLEF 2017 Conference and Labs of the Evaluation Forum, Dublin, Ireland, 11 …, 2017 | 21 | 2017 |
| 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 | 20 | 2016 |
| 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 | 20 | 2014 |
