Seguir
Viktor Losing
Viktor Losing
Honda Research Institute Europe
Dirección de correo verificada de honda-ri.de
Título
Citado por
Citado por
Año
Incremental on-line learning: A review and comparison of state of the art algorithms
V Losing, B Hammer, H Wersing
Neurocomputing 275, 1261-1274, 2018
2462018
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
V Losing, B Hammer, H Wersing
2016 IEEE 16th International Conference on Data Mining (ICDM), 291--300, 2016
1862016
Interactive online learning for obstacle classification on a mobile robot
V Losing, B Hammer, H Wersing
2015 international joint conference on neural networks (ijcnn), 1-8, 2015
402015
Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM)
V Losing, B Hammer, H Wersing
Knowledge and Information Systems 54 (1), 171-201, 2018
352018
Choosing the Best Algorithm for an Incremental On-line Learning Task
V Losing, B Hammer, H Wersing
European Symposium on Artificial Neural Networks (ESANN), 369-374, 2016
30*2016
Guiding visual search tasks using gaze-contingent auditory feedback
V Losing, L Rottkamp, M Zeunert, T Pfeiffer
Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014
232014
Self-adjusting memory: How to deal with diverse drift types
V Losing, B Hammer, H Wersing
International Joint Conference on Artificial Intelligence, 2017
202017
Personalized maneuver prediction at intersections
V Losing, B Hammer, H Wersing
2017 ieee 20th international conference on intelligent transportation …, 2017
122017
Enhancing very fast decision trees with local split-time predictions
V Losing, H Wersing, B Hammer
2018 IEEE international conference on data mining (ICDM), 287-296, 2018
82018
Personalized online learning of whole-body motion classes using multiple inertial measurement units
V Losing, T Yoshikawa, M Hasenjaeger, B Hammer, H Wersing
2019 International Conference on Robotics and Automation (ICRA), 9530-9536, 2019
72019
Machine learning for human movement understanding
T Yoshikawa, V Losing, E Demircan
Advanced Robotics 34 (13), 828-844, 2020
62020
Learning fast and slow: A unified batch/stream framework
J Montiel, A Bifet, V Losing, J Read, T Abdessalem
2018 IEEE International Conference on Big Data (Big Data), 1065-1072, 2018
52018
Extraction of common-sense relations from procedural task instructions using bert
V Losing, L Fischer, J Deigmöller
Proceedings of the 11th Global Wordnet Conference, 81-90, 2021
32021
Randomizing the self-adjusting memory for enhanced handling of concept drift
V Losing, B Hammer, H Wersing, A Bifet
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
22020
Dedicated Memory Models for Continual Learning in the Presence of Concept Drift
V Losing, B Hammer, H Wersing
Continual Learning Workshop of the Thirtieth Annual Conference on Neural …, 2016
22016
A Multi-Modal Gait Database of Natural Everyday-Walk in an Urban Environment
V Losing, M Hasenjäger
Scientific Data 9 (1), 1-12, 2022
2022
Personalized Online Learning with Pseudo-Ground Truth
V Losing, M Hasenjäger, T Yoshikawa
International Conference on Intelligent Robots and Systems, 2020
2020
Memory Models for Incremental Learning Architectures
V Losing
Bielefeld University, 2019
2019
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–18