Viktor Losing

18 papers A* 4A 1B 3C 1Journal 3Unranked 5
YearRankTypeTitle / Venue / Authors
2022 — conf
Extraction of Common Physical Properties of Everyday Objects from Structured Sources.
NLPIR
Viktor Losing, Julian Eggert
2022 — conf
Situational Question Answering using Memory Nets.
KDIR
Joerg Deigmoeller, Pavel Smirnov, Viktor Losing, Chao Wang, Johane Takeuchi, Julian Eggert
2021 C conf
Extraction of Common-Sense Relations from Procedural Task Instructions using BERT.
GWC
Viktor Losing, Lydia Fischer, Jörg Deigmöller
2020 J jnl
Machine learning for human movement understanding.
Adv. Robotics
Taizo Yoshikawa, Viktor Losing, Emel Demircan
2020 A conf
Personalized Online Learning with Pseudo-Ground Truth.
IROS
Viktor Losing, Martina Hasenjäger, Taizo Yoshikawa
2020 B conf
Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift.
IJCNN
Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet
2019 — —
Memory Models for Incremental Learning Architectures
Viktor Losing
2019 A* conf
Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units.
ICRA
Viktor Losing, Taizo Yoshikawa, Martina Hasenjäger, Barbara Hammer, Heiko Wersing
2018 A* conf
Enhancing Very Fast Decision Trees with Local Split-Time Predictions.
ICDM
Viktor Losing, Heiko Wersing, Barbara Hammer
2018 J jnl
Incremental on-line learning: A review and comparison of state of the art algorithms.
Neurocomputing
Viktor Losing, Barbara Hammer, Heiko Wersing
2018 — conf
Learning Fast and Slow: A Unified Batch/Stream Framework.
IEEE BigData
Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, Talel Abdessalem
2018 J jnl
Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM).
Knowl. Inf. Syst.
Viktor Losing, Barbara Hammer, Heiko Wersing
2017 — conf
Personalized maneuver prediction at intersections.
ITSC
Viktor Losing, Barbara Hammer, Heiko Wersing
2017 A* conf
Self-Adjusting Memory: How to Deal with Diverse Drift Types.
IJCAI
Viktor Losing, Barbara Hammer, Heiko Wersing
2016 B conf
Choosing the best algorithm for an incremental on-line learning task.
ESANN
Viktor Losing, Barbara Hammer, Heiko Wersing
2016 A* conf
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift.
ICDM
Viktor Losing, Barbara Hammer, Heiko Wersing
2015 B conf
Interactive online learning for obstacle classification on a mobile robot.
IJCNN
Viktor Losing, Barbara Hammer, Heiko Wersing
2014 — conf
Guiding visual search tasks using gaze-contingent auditory feedback.
UbiComp Adjunct
Viktor Losing, Thies Pfeiffer, Lukas Rottkamp, Michael Zeunert