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2188 Publications


2014 | Conference Paper | LibreCat-ID: 11918 | OA
Walter, Oliver, Vladimir Despotovic, Reinhold Haeb-Umbach, Jrt Gemmeke, Bart Ons, and Hugo Van hamme. “An Evaluation of Unsupervised Acoustic Model Training for a Dysarthric Speech Interface.” In INTERSPEECH 2014, 2014.
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2014 | Conference Paper | LibreCat-ID: 15090
Böttcher, Stefan, Marc Brandenburg, and Rita Hartel. “Keyword Search on DAG-Compressed XML Data.” In Proceedings of the Second Australasian Web Conference, 13–20. Australian Computer Society, Inc., 2014.
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2014 | Conference Paper | LibreCat-ID: 15092
Böttcher, Stefan, Rita Hartel, and Jonathan Rabe. “Efficient XML Keyword Search Based on DAG-Compression.” In Database and Expert Systems Applications - 25th International Conference, DEXA 2014, 122–37. Cham: Springer, 2014. https://doi.org/10.1007/978-3-319-10073-9_11.
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2014 | Journal Article | LibreCat-ID: 16046
Agarwal, M., A. Fallah Tehrani, and Eyke Hüllermeier. “Preference-Based Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria Decision Analysis 22, no. 3–4 (2014).
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2014 | Journal Article | LibreCat-ID: 16064
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” International Journal of Approximate Reasoning 55, no. 7 (2014): 1519–34.
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2014 | Journal Article | LibreCat-ID: 16077
Busa-Fekete, Robert, B. Szörenyi, P. Weng, W. Cheng, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014): 327–51.
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2014 | Journal Article | LibreCat-ID: 16082
Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences 255 (2014): 16–29.
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2014 | Conference Paper | LibreCat-ID: 10248
Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based Online Learning with Bandit Algorithms.” In Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 18–39, 2014.
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2014 | Conference Paper | LibreCat-ID: 10251
Abdel-Aziz, A., M. Strickert, and Eyke Hüllermeier. “Learning Solution Similarity in Preference-Based CBR.” In Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 17–31, 2014.
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2014 | Conference Paper | LibreCat-ID: 10254
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.” In Proceedings, Parts I-III. Lecture Notes in Computer Science, 8724–26. Springer, 2014.
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2014 | Conference Paper | LibreCat-ID: 10295
Fürnkranz, J., Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, and Scott Sanner. “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 4:1–27, 2014.
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2014 | Journal Article | LibreCat-ID: 10308
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1519–34.
LibreCat
 

2014 | Journal Article | LibreCat-ID: 10309
Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1609–13.
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2014 | Journal Article | LibreCat-ID: 10311
Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences 255 (2014): 16–29.
LibreCat
 

2014 | Journal Article | LibreCat-ID: 10313
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Machine Learning 97, no. 1–2 (2014): 1–3.
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2014 | Journal Article | LibreCat-ID: 10314
Busa-Fekete, Robert, B. Szörényi, P. Weng, W. Cheng, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014): 327–51.
LibreCat
 

2014 | Journal Article | LibreCat-ID: 10318
Stock, M., T. Fober, Eyke Hüllermeier, S Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, and W. Wageman. “Identification of Functionally Releated Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform. 11, no. 6 (2014): 1157–69.
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2014 | Conference Paper | LibreCat-ID: 24307
Kraemer, Rolf, Andreas Wolf, Christoph Scheytt, Ingmar Kallfass, and Karthik KrishneGowda. “Wireless 100 Gb/s: PHY Layer Overview and Challenges in THz Freqency Band.” In 2014 IEEE 15th Annual IEEE Wireless and Microwave Technology Conference (WAMICON). Marriott Waterside Hotel and Marina Tampa, FL, USA: IEEE, 2014. https://doi.org/10.1109/WAMICON.2014.6857743.
LibreCat | Files available | DOI
 

2014 | Conference Paper | LibreCat-ID: 22021
Bagsik, A., S. Josupeit, Volker Schöppner, and E. Klemp. “Mechanical Analysis of Lightweight Constructions Manufactured with Fused Deposition Modeling.” In 29th International Conference of the Polymer Processing Society, 29:696–701. American Institute of Physics , 2014. https://doi.org/10.1063/1.4873874.
LibreCat | DOI
 

2014 | Conference Paper | LibreCat-ID: 6941
Wendlandt, Stefan, Melanie Krause, Sarah Berendes, Matthias Hanusch, Alexander Drobisch, Juliane Berghold, Michael Schoppa, Paul Grunow, and Stefan Krauter. “Comparison of Hot Spot Investigations under Laboratory and Field Conditions at Photovoltaic Modules.” In Proceedings of the 29th European Photovoltaic Solar Energy Conference and Exhibition, Amsterdam (The Netherlands), September 22-16, 2014, 2014.
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