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2020 – today
- 2024
[i2]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 abs/2405.17222 (2024)- 2023
- [b1]Cedric Kulbach:
Adaptive Automated Machine Learning. Karlsruhe Institute of Technology, Germany, 2023 - [j1]Jacqueline Höllig, Cedric Kulbach, Steffen Thoma:
TSInterpret: A Python Package for the Interpretability of Time Series Classification. J. Open Source Softw. 8(87): 5220 (2023) - 2022
- [c8]Jacqueline Höllig, Cedric Kulbach, Steffen Thoma:
TSEvo: Evolutionary Counterfactual Explanations for Time Series Classification. ICMLA 2022: 29-36 - [c7]Jacqueline Höllig, Steffen Thoma, Cedric Kulbach:
Evolutionary Counterfactual Visual Explanation. KI (Workshops) 2022 - [c6]Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet:
Evolution-Based Online Automated Machine Learning. PAKDD (1) 2022: 472-484 - [c5]Lucas Cazzonelli, Cedric Kulbach:
Detecting Anomalies with Autoencoders on Data Streams. ECML/PKDD (1) 2022: 258-274 - [i1]Jacqueline Höllig, Cedric Kulbach, Steffen Thoma:
TSInterpret: A unified framework for time series interpretability. CoRR abs/2208.05280 (2022) - 2021
- [c4]Cedric Kulbach, Steffen Thoma:
Personalized Neural Architecture Search. ICDM (Workshops) 2021: 581-590 - [c3]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: 171-188 - 2020
- [c2]Cedric Kulbach, Patrick Philipp, Steffen Thoma:
Personalized Automated Machine Learning. ECAI 2020: 1246-1253
2010 – 2019
- 2019
- [c1]Tobias Schmitt, Cedric Kulbach, York Sure-Vetter:
Improving NLU Training over Linked Data with Placeholder Concepts. SEMANTiCS 2019: 67-82
Coauthor Index
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