Viktor Losing

According to our database, Viktor Losing authored at least 18 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Extraction of Common Physical Properties of Everyday Objects from Structured Sources.

Viktor Losing, Julian Eggert

Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval, 2022

Situational Question Answering using Memory Nets.

Joerg Deigmoeller, Pavel Smirnov, Viktor Losing, Chao Wang, Johane Takeuchi, Julian Eggert

Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

2021

Extraction of Common-Sense Relations from Procedural Task Instructions using BERT.

Viktor Losing, Lydia Fischer, Jörg Deigmöller

Proceedings of the 11th Global Wordnet Conference, 2021

2020

Machine learning for human movement understanding.

Taizo Yoshikawa, Viktor Losing, Emel Demircan

Adv. Robotics, 2020

Personalized Online Learning with Pseudo-Ground Truth.

Viktor Losing, Martina Hasenjäger, Taizo Yoshikawa

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift.

Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Memory Models for Incremental Learning Architectures

Viktor Losing

PhD thesis, 2019

Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units.

Viktor Losing, Taizo Yoshikawa, Martina Hasenjäger, Barbara Hammer, Heiko Wersing

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM).

Viktor Losing, Barbara Hammer, Heiko Wersing

Knowl. Inf. Syst., 2018

Incremental on-line learning: A review and comparison of state of the art algorithms.

Viktor Losing, Barbara Hammer, Heiko Wersing

Neurocomputing, 2018

Enhancing Very Fast Decision Trees with Local Split-Time Predictions.

Viktor Losing, Heiko Wersing, Barbara Hammer

Proceedings of the IEEE International Conference on Data Mining, 2018

Learning Fast and Slow: A Unified Batch/Stream Framework.

Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, Talel Abdessalem

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Personalized maneuver prediction at intersections.

Viktor Losing, Barbara Hammer, Heiko Wersing

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Self-Adjusting Memory: How to Deal with Diverse Drift Types.

Viktor Losing, Barbara Hammer, Heiko Wersing

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift.

Viktor Losing, Barbara Hammer, Heiko Wersing

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Choosing the best algorithm for an incremental on-line learning task.

Viktor Losing, Barbara Hammer, Heiko Wersing

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Interactive online learning for obstacle classification on a mobile robot.

Viktor Losing, Barbara Hammer, Heiko Wersing

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Guiding visual search tasks using gaze-contingent auditory feedback.

Viktor Losing, Thies Pfeiffer, Lukas Rottkamp, Michael Zeunert

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014