Viktor Losing - RankMe

18 papers A* 4A 1B 3C 1Journal 3Unranked 5

Year	Rank	Type	Title / 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