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