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5711 Publications
2015 | Conference Paper | LibreCat-ID: 10242
Szörényi, B., Busa-Fekete, R., Dembczynski, K., & Hüllermeier, E. (2015). Online F-Measure Optimization. In in Advances in Neural Information Processing Systems 28 (NIPS 2015) (pp. 595–603).
LibreCat
2015 | Conference Paper | LibreCat-ID: 10243
El Mesaoudi-Paul, A., & Hüllermeier, E. (2015). A CBR Approach to the Angry Birds Game. In in Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015) (pp. 68–77).
LibreCat
2015 | Conference Paper | LibreCat-ID: 10244
Schäfer, D., & Hüllermeier, E. (2015). Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations. In in Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML) (pp. 110–111).
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2015 | Conference Paper | LibreCat-ID: 10245
Lu, S., & Hüllermeier, E. (2015). Locally weighted regression through data imprecisiation. In Proceedings 25. Workshop Computational Intelligence (pp. 97–104).
LibreCat
2015 | Conference Paper | LibreCat-ID: 10246
Ewerth, R., Balz, A., Gehlhaar, J., Dembczynski, K., & Hüllermeier, E. (2015). Depth estimation in monocular images: Quantitative versus qualitative approaches. In Proceedings 25. Workshop Computational Intelligence (pp. 235–240).
LibreCat
2015 | Journal Article | LibreCat-ID: 10319
Waegeman, W., Dembczynski, K., Jachnik, A., Cheng, W., & Hüllermeier, E. (2015). On the Bayes-Optimality of F-Measure Maximizers. In Journal of Machine Learning Research, 15, 3333–3388.
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2015 | Journal Article | LibreCat-ID: 10320
Hüllermeier, E. (2015). Does machine learning need fuzzy logic? Fuzzy Sets and Systems, 281, 292–299.
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2015 | Journal Article | LibreCat-ID: 10321
Shaker, A., & Hüllermeier, E. (2015). Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing, 150, 250–264.
LibreCat
2015 | Journal Article | LibreCat-ID: 10322
Hüllermeier, E. (2015). From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions. Informatik Spektrum, 38(6), 500–509.
LibreCat
2015 | Journal Article | LibreCat-ID: 10323
Garcia-Jimenez, S., Bustince, U., Hüllermeier, E., Mesiar, R., Pal, N. R., & Pradera, A. (2015). Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 23(4), 1259–1273.
LibreCat
2015 | Journal Article | LibreCat-ID: 10324
Senge, R., & Hüllermeier, E. (2015). Fast Fuzzy Pattern Tree Learning of Classification. IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033.
LibreCat
2015 | Conference Paper | LibreCat-ID: 14876
Chen, M.-H., Chen, W.-F., & Ku, L.-W. (2015). Technology Enhanced Emotion Expression Learning. Proceedings of the Sixth Joint Foreign Language Education and Technology Conference (FLEAT VI).
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2015 | Conference Paper | LibreCat-ID: 6719 | 
Heindorf, S., Potthast, M., Stein, B., & Engels, G. (2015). Towards Vandalism Detection in Knowledge Bases. SIGIR, 831–834. https://doi.org/10.1145/2766462.2767804
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2015 | Conference Paper | LibreCat-ID: 8164 |
Gharibian, S., & Sikora, J. (2015). Ground State Connectivity of Local Hamiltonians. In M. M. Halld{\’o}rsson, K. Iwama, N. Kobayashi, & B. Speckmann (Eds.), International Colloquium on Automata, Languages, and Programming (ICALP 2015) (pp. 617–628). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-47672-7_50
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| arXiv
2015 | Journal Article | LibreCat-ID: 8166 |
Gharibian, S., Huang, Y., Landau, Z., & Woo Shin, S. (2015). Quantum Hamiltonian Complexity. Foundations and Trends® in Theoretical Computer Science, 10(3), 159–282. https://doi.org/10.1561/0400000066
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| arXiv
2015 | Journal Article | LibreCat-ID: 8168 |
Gharibian, S., Landau, Z., Woo Shin, S., & Wang, G. (2015). Tensor network non-zero testing. Quantum Information & Computation, 15(9{\ & }10), 885–899.
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| arXiv
2015 | Journal Article | LibreCat-ID: 296
Kenter, T., Schmitz, H., & Plessl, C. (2015). Exploring Tradeoffs between Specialized Kernels and a Reusable Overlay in a Stereo-Matching Case Study. International Journal of Reconfigurable Computing (IJRC), 2015, Article 859425. https://doi.org/10.1155/2015/859425
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2015 | Conference Paper | LibreCat-ID: 303 |
Damschen, M., & Plessl, C. (2015). Easy-to-Use On-The-Fly Binary Program Acceleration on Many-Cores. Proceedings of the 5th International Workshop on Adaptive Self-Tuning Computing Systems (ADAPT).
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| arXiv
2015 | Conference Paper | LibreCat-ID: 1773
Schumacher, J., T. Anderson, J., Borga, A., Boterenbrood, H., Chen, H., Chen, K., Drake, G., Francis, D., Gorini, B., Lanni, F., Lehmann-Miotto, G., Levinson, L., Narevicius, J., Plessl, C., Roich, A., Ryu, S., P. Schreuder, F., Vandelli, W., Vermeulen, J., & Zhang, J. (2015). Improving Packet Processing Performance in the ATLAS FELIX Project – Analysis and Optimization of a Memory-Bounded Algorithm. Proc. Int. Conf. on Distributed Event-Based Systems (DEBS). https://doi.org/10.1145/2675743.2771824
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| DOI
2015 | Journal Article | LibreCat-ID: 1768
Plessl, C., Platzner, M., & Schreier, P. J. (2015). Aktuelles Schlagwort: Approximate Computing. Informatik Spektrum, 5, 396–399. https://doi.org/10.1007/s00287-015-0911-z
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