Viktor Losing

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 16

Top Topics

Top Venues

Knowl. Inf. Syst.

Publications

Joerg Deigmoeller, Pavel Smirnov, Viktor Losing, Chao Wang, Johane Takeuchi, Julian Eggert
Situational Question Answering using Memory Nets. KDIR (2022)
Viktor Losing, Julian Eggert
Extraction of Common Physical Properties of Everyday Objects from Structured Sources. NLPIR (2022)
Viktor Losing, Lydia Fischer, Jörg Deigmöller
Extraction of Common-Sense Relations from Procedural Task Instructions using BERT. GWC (2021)
Viktor Losing, Martina Hasenjäger, Taizo Yoshikawa
Personalized Online Learning with Pseudo-Ground Truth. IROS (2020)
Taizo Yoshikawa, Viktor Losing, Emel Demircan
Machine learning for human movement understanding. Adv. Robotics 34 (13) (2020)
Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet
Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. IJCNN (2020)
Viktor Losing, Taizo Yoshikawa, Martina Hasenjäger, Barbara Hammer, Heiko Wersing
Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. ICRA (2019)
Viktor Losing, Heiko Wersing, Barbara Hammer
Enhancing Very Fast Decision Trees with Local Split-Time Predictions. ICDM (2018)
Viktor Losing, Barbara Hammer, Heiko Wersing
Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM). Knowl. Inf. Syst. 54 (1) (2018)
Viktor Losing, Barbara Hammer, Heiko Wersing
Incremental on-line learning: A review and comparison of state of the art algorithms. Neurocomputing 275 (2018)
Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, Talel Abdessalem
Learning Fast and Slow: A Unified Batch/Stream Framework. IEEE BigData (2018)
Viktor Losing, Barbara Hammer, Heiko Wersing
Self-Adjusting Memory: How to Deal with Diverse Drift Types. IJCAI (2017)
Viktor Losing, Barbara Hammer, Heiko Wersing
Personalized maneuver prediction at intersections. ITSC (2017)
Viktor Losing, Barbara Hammer, Heiko Wersing
Choosing the best algorithm for an incremental on-line learning task. ESANN (2016)
Viktor Losing, Barbara Hammer, Heiko Wersing
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. ICDM (2016)
Viktor Losing, Barbara Hammer, Heiko Wersing
Interactive online learning for obstacle classification on a mobile robot. IJCNN (2015)
Viktor Losing, Thies Pfeiffer, Lukas Rottkamp, Michael Zeunert
Guiding visual search tasks using gaze-contingent auditory feedback. UbiComp Adjunct (2014)