@inproceedings{15400, author = {{Labreuche, C. and Hüllermeier, Eyke and Vojtas, P. and Fallah Tehrani, A.}}, booktitle = {{in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany}}, editor = {{Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, Karlson}}, title = {{{On the identifiability of models in multi-criteria preference learning}}}, year = {{2016}}, } @inproceedings{15401, author = {{Schäfer, D. and Hüllermeier, Eyke}}, booktitle = {{in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany}}, editor = {{Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, Karlson}}, title = {{{Preference -based reinforcement learning using dyad ranking}}}, year = {{2016}}, } @inproceedings{15402, author = {{Couso, Ines and Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke}}, booktitle = {{in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany}}, editor = {{Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, Karlson}}, title = {{{Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators}}}, year = {{2016}}, } @inproceedings{15403, author = {{Lu, S. and Hüllermeier, Eyke}}, booktitle = {{in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany}}, editor = {{Hüllermeier, Eyke and Hoffmann, F. and Mikut, R.}}, pages = {{1--8}}, publisher = {{KIT Scientific Publishing}}, title = {{{Support vector classification on noisy data using fuzzy superset losses}}}, year = {{2016}}, } @inproceedings{15404, author = {{Schäfer, D. and Hüllermeier, Eyke}}, booktitle = {{in Workshop LWDA "Lernen, Wissen, Daten, Analysen" Potsdam, Germany}}, title = {{{Plackett-Luce networks for dyad ranking}}}, year = {{2016}}, } @inproceedings{15111, author = {{Pfannschmidt, Karlson and Hüllermeier, Eyke and Held, S. and Neiger, R.}}, booktitle = {{In Proceedings IPMU 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands}}, pages = {{450--461}}, publisher = {{Springer}}, title = {{{Evaluating tests in medical diagnosis-Combining machine learning with game-theoretical concepts}}}, year = {{2016}}, } @article{16041, author = {{Leinweber, M. and Fober, T. and Strickert, M. and Baumgärtner, L. and Klebe, G. and Freisleben, B. and Hüllermeier, Eyke}}, journal = {{IEEE Transactions on Knowledge and Data Engineering}}, number = {{6}}, pages = {{1423--1434}}, title = {{{CavSimBase: A database for large scale comparison of protein binding sites}}}, volume = {{28}}, year = {{2016}}, } @phdthesis{141, author = {{Mohr, Felix}}, publisher = {{Universität Paderborn}}, title = {{{Towards Automated Service Composition Under Quality Constraints}}}, doi = {{10.17619/UNIPB/1-171}}, year = {{2016}}, } @inbook{10214, author = {{Fürnkranz, J. and Hüllermeier, Eyke}}, booktitle = {{Encyclopedia of Machine Learning and Data Mining}}, editor = {{Sammut, C. and Webb, G.I.}}, publisher = {{Springer}}, title = {{{Preference Learning}}}, year = {{2016}}, } @proceedings{10221, editor = {{Hoffmann, F. and Hüllermeier, Eyke and Mikut, R.}}, title = {{{ Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany}}}, year = {{2016}}, } @inproceedings{10222, author = {{Jasinska, K. and Dembczynski, K. and Busa-Fekete, Robert and Klerx, Timo and Hüllermeier, Eyke}}, booktitle = {{Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA}}, editor = {{Balcan, M.F. and Weinberger, K.Q.}}, title = {{{Extreme F-measure maximization using sparse probability estimates }}}, year = {{2016}}, } @inproceedings{10223, author = {{Melnikov, Vitaly and Hüllermeier, Eyke}}, booktitle = {{European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy}}, pages = {{756--771}}, title = {{{Learning to aggregate using uninorms, in Proceedings ECML/PKDD-2016}}}, year = {{2016}}, } @inproceedings{10224, author = {{Dembczynski, K. and Kotlowski, W. and Waegeman, W. and Busa-Fekete, Robert and Hüllermeier, Eyke}}, booktitle = {{In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy}}, pages = {{511--526}}, title = {{{Consistency of probalistic classifier trees}}}, year = {{2016}}, } @inproceedings{10225, author = {{Shabani, Aulon and Paul, Adil and Platon, R. and Hüllermeier, Eyke}}, booktitle = {{In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA}}, pages = {{356--369}}, title = {{{Predicting the electricity consumption of buildings: An improved CBR approach}}}, year = {{2016}}, } @inproceedings{10226, author = {{Pfannschmidt, Karlson and Hüllermeier, Eyke and Held, S. and Neiger, R.}}, booktitle = {{In Proceedings IPMU 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands}}, pages = {{450--461}}, publisher = {{Springer}}, title = {{{Evaluating tests in medical diagnosis-Combining machine learning with game-theoretical concepts}}}, year = {{2016}}, } @inproceedings{10227, author = {{Labreuche, C. and Hüllermeier, Eyke and Vojtas, P. and Fallah Tehrani, A.}}, booktitle = {{Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning}}, editor = {{Busa-Fekete, Robert and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, Karlson}}, title = {{{On the Identifiability of models in multi-criteria preference learning }}}, year = {{2016}}, } @inproceedings{10228, author = {{Schäfer, Dirk and Hüllermeier, Eyke}}, booktitle = {{Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning}}, editor = {{Busa-Fekete, Robert and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, Karlson}}, title = {{{Preference-Based Reinforcement Learning Using Dyad Ranking}}}, year = {{2016}}, } @inproceedings{10229, author = {{Couso, Ines and Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke}}, booktitle = {{Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning}}, editor = {{Busa-Fekete, Robert and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, Karlson}}, title = {{{Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators}}}, year = {{2016}}, } @inproceedings{10230, author = {{Lu, S. and Hüllermeier, Eyke}}, booktitle = {{Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing}}, editor = {{Hoffmann, F. and Hüllermeier, Eyke and Mikut, R.}}, pages = {{1--8}}, title = {{{Support vector classification on noisy data using fuzzy supersets losses}}}, year = {{2016}}, } @inproceedings{10231, author = {{Schäfer, Dirk and Hüllermeier, Eyke}}, booktitle = {{In Workshop LWDA "Lernen, Wissen, Daten, Analysen"}}, title = {{{Plackett-Luce networks for dyad ranking}}}, year = {{2016}}, }