Lucas Cazzonelli

According to our database, Lucas Cazzonelli authored at least 6 papers between 2021 and 2025.

Collaborative distances:

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

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., January, 2025

CodeSCAN: ScreenCast ANalysis for Video Programming Tutorials.

Alexander Naumann, Felix Hertlein, Jacqueline Höllig, Lucas Cazzonelli, Steffen Thoma

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

2024

Optimizing the Learning Rate for the Online Training of Neural Networks.

Lucas Cazzonelli, Cedric Kulbach, Steffen Thoma

Proceedings of the Conference on Lifelong Learning Agents, 2024

2023

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

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

2022

Detecting Anomalies with Autoencoders on Data Streams.

Lucas Cazzonelli, Cedric Kulbach

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

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, 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

Proceedings of the NeurIPS 2022 Competition Track, 2021