Guiding visual search tasks using gaze-contingent auditory feedback. - Viktor Losing; Thies Pfeiffer; Lukas Rottkamp; Michael Zeunert (UbiComp Adjunct, 2014)

Interactive online learning for obstacle classification on a mobile robot. - Viktor Losing; Barbara Hammer; Heiko Wersing (IJCNN, 2015)

Choosing the best algorithm for an incremental on-line learning task. - Viktor Losing; Barbara Hammer; Heiko Wersing (ESANN, 2016)

KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. - Viktor Losing; Barbara Hammer; Heiko Wersing (ICDM, 2016)

Self-Adjusting Memory: How to Deal with Diverse Drift Types. - Viktor Losing; Barbara Hammer; Heiko Wersing (IJCAI, 2017)

Personalized maneuver prediction at intersections. - Viktor Losing; Barbara Hammer; Heiko Wersing (ITSC, 2017)

Learning Fast and Slow: A Unified Batch/Stream Framework. - Jacob Montiel; Albert Bifet; Viktor Losing; Jesse Read; Talel Abdessalem (IEEE BigData, 2018)

Enhancing Very Fast Decision Trees with Local Split-Time Predictions. - Viktor Losing; Heiko Wersing; Barbara Hammer (ICDM, 2018)

Incremental on-line learning: A review and comparison of state of the art algorithms. - Viktor Losing; Barbara Hammer; Heiko Wersing (Neurocomputing, 2018)

Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM). - Viktor Losing; Barbara Hammer; Heiko Wersing (Knowl. Inf. Syst., 2018)

Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. - Viktor Losing; Taizo Yoshikawa; Martina Hasenjäger; Barbara Hammer; Heiko Wersing (ICRA, 2019)

Memory Models for Incremental Learning Architectures - Viktor Losing (2019)

Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. - Viktor Losing; Barbara Hammer; Heiko Wersing; Albert Bifet (IJCNN, 2020)

Personalized Online Learning with Pseudo-Ground Truth. - Viktor Losing; Martina Hasenjäger; Taizo Yoshikawa (IROS, 2020)

Machine learning for human movement understanding. - Taizo Yoshikawa; Viktor Losing; Emel Demircan (Adv. Robotics, 2020)

Extraction of Common-Sense Relations from Procedural Task Instructions using BERT. - Viktor Losing; Lydia Fischer; Jörg Deigmöller (GWC, 2021)

Situational Question Answering using Memory Nets. - Joerg Deigmoeller; Pavel Smirnov 004; Viktor Losing; Chao Wang 055; Johane Takeuchi; Julian Eggert (KDIR, 2022)

Extraction of Common Physical Properties of Everyday Objects from Structured Sources. - Viktor Losing; Julian Eggert (NLPIR, 2022)