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Viktor Losing
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2020 – today
- 2022
- [c14]Joerg Deigmoeller, Pavel Smirnov, Viktor Losing, Chao Wang, Johane Takeuchi, Julian Eggert:
Situational Question Answering using Memory Nets. KDIR 2022: 169-176 - [c13]Viktor Losing
, Julian Eggert
Extraction of Common Physical Properties of Everyday Objects from Structured Sources. NLPIR 2022: 164-168 - 2021
- [c12]Viktor Losing, Lydia Fischer, Jörg Deigmöller:
Extraction of Common-Sense Relations from Procedural Task Instructions using BERT. GWC 2021: 81-90 - 2020
- [j3]Taizo Yoshikawa, Viktor Losing, Emel Demircan
Machine learning for human movement understanding. Adv. Robotics 34(13): 828-844 (2020) - [c11]Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet:
Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. IJCNN 2020: 1-8 - [c10]Viktor Losing, Martina Hasenjäger, Taizo Yoshikawa:
Personalized Online Learning with Pseudo-Ground Truth. IROS 2020: 8963-8969
2010 – 2019
- 2019
- [b1]Viktor Losing:
Memory Models for Incremental Learning Architectures. Bielefeld University, Germany, 2019 - [c9]Viktor Losing, Taizo Yoshikawa, Martina Hasenjäger, Barbara Hammer
Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. ICRA 2019: 9530-9536 - 2018
- [j2]Viktor Losing
Incremental on-line learning: A review and comparison of state of the art algorithms. Neurocomputing 275: 1261-1274 (2018) - [j1]Viktor Losing
Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM). Knowl. Inf. Syst. 54(1): 171-201 (2018) - [c8]Jacob Montiel
Learning Fast and Slow: A Unified Batch/Stream Framework. IEEE BigData 2018: 1065-1072 - [c7]Viktor Losing, Heiko Wersing, Barbara Hammer
Enhancing Very Fast Decision Trees with Local Split-Time Predictions. ICDM 2018: 287-296 - 2017
- [c6]Viktor Losing, Barbara Hammer
Self-Adjusting Memory: How to Deal with Diverse Drift Types. IJCAI 2017: 4899-4903 - [c5]Viktor Losing, Barbara Hammer
Personalized maneuver prediction at intersections. ITSC 2017: 1-6 - 2016
- [c4]Viktor Losing, Barbara Hammer, Heiko Wersing:
Choosing the best algorithm for an incremental on-line learning task. ESANN 2016 - [c3]Viktor Losing, Barbara Hammer
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. ICDM 2016: 291-300 - 2015
- [c2]Viktor Losing, Barbara Hammer
Interactive online learning for obstacle classification on a mobile robot. IJCNN 2015: 1-8 - 2014
- [c1]Viktor Losing, Thies Pfeiffer
Guiding visual search tasks using gaze-contingent auditory feedback. UbiComp Adjunct 2014: 1093-1102
Coauthor Index
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