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Viktor Losing
Observed names:
Losing Viktor,
Losing, Viktor
Observed institutions:
Bielefeld University,
Honda (Germany)
ORCID:
0000-0002-7444-1904
Observed ORCID:
0000-0002-7444-1904
OpenAlex ID:
A5005558095
Incremental on-line learning: A review and comparison of state of the art algorithms
2017
·
Viktor Losing
, Barbara Hammer
, et al.
·
Neurocomputing
·
397
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
2016
·
Viktor Losing
, Barbara Hammer
, et al.
·
Proceedings
·
260
Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM)
2017
·
Viktor Losing
, Barbara Hammer
, et al.
·
Knowledge and Information Systems
·
48
Interactive online learning for obstacle classification on a mobile robot
2015
·
Viktor Losing
, Barbara Hammer
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
·
45
A Multi-Modal Gait Database of Natural Everyday-Walk in an Urban Environment
2022
·
Viktor Losing
, Martina Hasenjäger
·
Scientific Data
·
43
PDF
Self-Adjusting Memory: How to Deal with Diverse Drift Types
2017
·
Viktor Losing
, Barbara Hammer
, et al.
·
International Joint Conference on Artificial Intelligence
·
27
PDF
Guiding visual search tasks using gaze-contingent auditory feedback
2014
·
Viktor Losing
, Lukas Rottkamp
, et al.
·
ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
·
23
Choosing the Best Algorithm for an Incremental On-line Learning Task
2016
·
Viktor Losing
, Barbara Hammer
, et al.
·
Publikationen an der Universität Bielefeld (Universität Bielefeld)
·
21
PDF
Learning Fast and Slow: A Unified Batch/Stream Framework
2018
·
Jacob Montiel
, Albert Bifet
, et al.
·
IEEE International Conference on Big Data (BigData)
·
11
Personalized maneuver prediction at intersections
2017
·
Viktor Losing
, Barbara Hammer
, et al.
·
IEEE International Conference on Intelligent Transportation Systems (ITSC)
·
10
Enhancing Very Fast Decision Trees with Local Split-Time Predictions
2018
·
Viktor Losing
, Heiko Wersing
, et al.
·
Proceedings
·
8
Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units
2019
·
Viktor Losing
, Taizo Yoshikawa
, et al.
·
Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
·
7
Machine learning for human movement understanding
2020
·
Taizo Yoshikawa
, Viktor Losing
, et al.
·
Advanced Robotics
·
6
Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift
2020
·
Viktor Losing
, Barbara Hammer
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
·
6
Situational Question Answering using Memory Nets
2022
·
Joerg Deigmoeller
, Pavel Smirnov
, et al.
·
International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
·
3
Extraction of Common-Sense Relations from Procedural Task Instructions using BERT
2021
·
Viktor Losing
, Lydia Fischer
, et al.
·
Global WordNet Conference (GWC)
·
3
PDF
Extraction of Common Physical Properties of Everyday Objects from Structured Sources
2022
·
Viktor Losing
, Julian Eggert
·
International Conference on Natural Language Processing and Information Retrieval (NLPIR)
·
1
PDF
Database (single file)
2022
·
Losing, Viktor
, Hasenjäger, Martina
·
Figshare
·
1
Personalized Online Learning with Pseudo-Ground Truth
2020
·
Viktor Losing
, Martina Hasenjager
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
1
Dedicated Memory Models for Continual Learning in the Presence of Concept Drift
2016
·
Viktor Losing
, Barbara Hammer
, et al.
·
Publikationen an der Universität Bielefeld (Universität Bielefeld)
·
1
PDF
Database (splitted 6/9)
2022
·
Losing, Viktor
, Hasenjäger, Martina
·
Figshare
Database (splitted 5/9)
2022
·
Losing, Viktor
, Hasenjäger, Martina
·
Figshare
Database (splitted 4/9)
2022
·
Losing, Viktor
, Hasenjäger, Martina
·
Figshare
Database (splitted 3/9)
2022
·
Losing, Viktor
, Hasenjäger, Martina
·
Figshare
Database (splitted 9/9)
2022
·
Losing, Viktor
, Hasenjäger, Martina
·
Figshare
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Works count:
34
Citation count:
924
H-index:
10
I10-index:
10
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