Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. - 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; et al. (NeurIPS (Competition and Demos), 2021)

Detecting Anomalies with Autoencoders on Data Streams. - Lucas Cazzonelli; Cedric Kulbach (ECML/PKDD (1), 2022)

A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning. - Cedric Kulbach; Lucas Cazzonelli; Hoang-Anh Ngo; Minh-Huong Le Nguyen; Albert Bifet (PKDD/ECML Workshops (1), 2023)

Optimizing the Learning Rate for the Online Training of Neural Networks. - Lucas Cazzonelli; Cedric Kulbach; Steffen Thoma (CoLLAs, 2024)

CodeSCAN: ScreenCast ANalysis for Video Programming Tutorials. - Alexander Naumann; Felix Hertlein; Jacqueline Höllig; Lucas Cazzonelli; Steffen Thoma (VISIGRAPP (2): VISAPP, 2025)

DeepRiver: A Deep Learning Library for Data Streams. - Cedric Kulbach; Lucas Cazzonelli; Hoang-Anh Ngo; Max Halford; Saulo Martiello Mastelini (J. Open Source Softw., 2025)