Cedric Kulbach

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Machine Learning

Dynamic Time Warping

Evolutionary Clustering

Top Venues

Publications

Cedric Kulbach, Lucas Cazzonelli, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet
A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning. CoRR (2024)
Jacqueline Höllig, Cedric Kulbach, Steffen Thoma
TSInterpret: A Python Package for the Interpretability of Time Series Classification. J. Open Source Softw. 8 (87) (2023)
Jacqueline Höllig, Steffen Thoma, Cedric Kulbach
Evolutionary Counterfactual Visual Explanation. KI (Workshops) (2022)
Jacqueline Höllig, Cedric Kulbach, Steffen Thoma
TSInterpret: A unified framework for time series interpretability. CoRR (2022)
Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet
Evolution-Based Online Automated Machine Learning. PAKDD (1) (2022)
Lucas Cazzonelli, Cedric Kulbach
Detecting Anomalies with Autoencoders on Data Streams. ECML/PKDD (1) (2022)
Jacqueline Höllig, Cedric Kulbach, Steffen Thoma
TSEvo: Evolutionary Counterfactual Explanations for Time Series Classification. ICMLA (2022)
Cedric Kulbach, Steffen Thoma
Personalized Neural Architecture Search. ICDM (Workshops) (2021)
Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) (2021)
Cedric Kulbach, Patrick Philipp, Steffen Thoma
Personalized Automated Machine Learning. ECAI (2020)
Tobias Schmitt, Cedric Kulbach, York Sure-Vetter
Improving NLU Training over Linked Data with Placeholder Concepts. SEMANTiCS (2019)