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9900 Publications
2018 | Journal Article | LibreCat-ID: 10132
Jin, L., Mazzuoccolo, G., & Steffen, E. (2018). Cores, joins and the Fano-flow conjectures. Discussiones Mathematicae Graph Theory, 38, 165–175. https://doi.org/10.7151/dmgt.1999
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| DOI
2018 | Journal Article | LibreCat-ID: 10142
Steffen, E. (2018). Approximating Vizing’s independence number conjecture. Australasian Journal of Combinatorics, 71(1), 153–160.
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2018 | Conference Paper | LibreCat-ID: 10145
Ahmadi Fahandar, M., & Hüllermeier, E. (2018). Learning to Rank Based on Analogical Reasoning. In Proc. 32 nd AAAI Conference on Artificial Intelligence (AAAI) (pp. 2951–2958).
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2018 | Conference Paper | LibreCat-ID: 10148
El Mesaoudi-Paul, A., Hüllermeier, E., & Busa-Fekete, R. (2018). Ranking Distributions based on Noisy Sorting. Proc. 35th Int. Conference on Machine Learning (ICML), 3469–3477.
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2018 | Conference Paper | LibreCat-ID: 10149
Hesse, M., Timmermann, J., Hüllermeier, E., & Trächtler, A. (2018). A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart. Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24, 15–20.
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2018 | Book Chapter | LibreCat-ID: 10152
Mencia, E. L., Fürnkranz, J., Hüllermeier, E., & Rapp, M. (2018). Learning interpretable rules for multi-label classification. In H. Jair Escalante, S. Escalera, I. Guyon, X. Baro, Y. Güclüütürk, U. Güclü, & M. A. J. van Gerven (Eds.), Explainable and Interpretable Models in Computer Vision and Machine Learning (pp. 81–113). Springer.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10181
Nguyen, V.-L., Destercke, S., Masson, M.-H., & Hüllermeier, E. (2018). Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty. Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), 5089–5095.
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2018 | Conference Paper | LibreCat-ID: 10184
Schäfer, D., & Hüllermeier, E. (2018). Preference-Based Reinforcement Learning Using Dyad Ranking. Proc. 21st Int. Conference on Discovery Science (DS), 161–175.
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2018 | Journal Article | LibreCat-ID: 10276
Schäfer, D., & Hüllermeier, E. (2018). Dyad Ranking Using Plackett-Luce Models based on joint feature representations. Machine Learning, 107(5), 903–941.
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2018 | Journal Article | LibreCat-ID: 10331
Kiesel, J., Kneist, F., Alshomary, M., Stein, B., Hagen, M., & Potthast, M. (2018). Reproducible Web Corpora. Journal of Data and Information Quality, 1–25. https://doi.org/10.1145/3239574
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2018 | Journal Article | LibreCat-ID: 1369
Drees, M., Feldotto, M., Riechers, S., & Skopalik, A. (2018). Pure Nash equilibria in restricted budget games. Journal of Combinatorial Optimization. https://doi.org/10.1007/s10878-018-0269-7
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2018 | Conference Paper | LibreCat-ID: 29888
Buchholz, O., & Böcker, J. (2018). Online-Identification of the Machine Parameters of an Induction Motor Drive. 2018 IEEE 27th International Symposium on Industrial Electronics (ISIE). International Symposium on Industrial Electronics (ISIE), Cairns, QLD, Australia. https://doi.org/10.1109/isie.2018.8433852
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| DOI
2018 | Conference Paper | LibreCat-ID: 29912
Buchholz, O., & Böcker, J. (2018). Gopinath-observer for flux estimation of an induction machine drive system. 2017 IEEE Southern Power Electronics Conference (SPEC). 2017 IEEE Southern Power Electronics Conference (SPEC), Puerto Varas, Chile. https://doi.org/10.1109/spec.2017.8333614
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2018 | Conference Paper | LibreCat-ID: 29911
Vogt, T., Badeda, J., Böcker, J., & Sauer, D. U. (2018). Consideration on primary control reserve provision by industrial microgrids in grid-coupled operation. 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS). https://doi.org/10.1109/peds.2017.8289189
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2018 | Conference Paper | LibreCat-ID: 29905
Joy, M. T., & Böcker, J. (2018). Sensorless Control of Induction Motor Drives Using Additional Windings on the Stator. 2018 IEEE 9th International Symposium on Sensorless Control for Electrical Drives (SLED). International Symposium on Sensorless Control for Electrical Drives (SLED), Helsinki, Finland . https://doi.org/10.1109/sled.2018.8486038
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| DOI
2018 | Conference Paper | LibreCat-ID: 29908
Bolte, S., Fröhleke, N., & Böcker, J. (2018). GaN Buck Converter in CCM with Optimized High Frequency Inductors. PCIM Europe 2018; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, 1–6.
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2018 | Conference Paper | LibreCat-ID: 29943
Weber, D., Stille, K. S. C., Wallscheid, O., & Böcker, J. (2018). Energy Management for a Nano-CHP Unit and an Electrical Storage System in a Residential Application. 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). https://doi.org/10.1109/speedam.2018.8445296
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| DOI
2018 | Conference Paper | LibreCat-ID: 29628
Wallscheid, O., Schenke, M., & Böcker, J. (2018). Improving torque and speed estimation accuracy by conjoint parameter identification and unscented Kalman filter design for induction machines. 2018 21st International Conference on Electrical Machines and Systems (ICEMS), 1181–1186.
LibreCat
2018 | Conference Paper | LibreCat-ID: 29625
Wallscheid, O., Schenke, M., & Böcker, J. (2018). A combined approach to identify induction machine parameters and to design an extended kalman filter for speed and torque estimation. 2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC), 793–799.
LibreCat
2018 | Conference Paper | LibreCat-ID: 29957
Buchholz, O., Böcker, J., & Bonifacio, J. (2018). Online-Identification of the Induction Machine Parameters Using the Extended Kalman Filter. 2018 XIII International Conference on Electrical Machines (ICEM). International Conference on Electrical Machines (ICEM), Alexandroupoli, Greece. https://doi.org/10.1109/icelmach.2018.8506739
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