Laurens Devos

According to our database, Laurens Devos authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned.

Jesse Davis, Lotte Bransen, Laurens Devos, Arne Jaspers, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy

Mach. Learn., September, 2024

Faster Repeated Evasion Attacks in Tree Ensembles.

Lorenzo Cascioli, Laurens Devos, Ondrej Kuzelka, Jesse Davis

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Safety Verification of Tree-Ensemble Policies via Predicate Abstraction.

Chaahat Jain, Lorenzo Cascioli, Laurens Devos, Marcel Vinzent, Marcel Steinmetz, Jesse Davis, Jörg Hoffmann

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Robustness Verification of Multi-Class Tree Ensembles.

Laurens Devos, Lorenzo Cascioli, Jesse Davis

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Decision trees: from efficient prediction to responsible AI.

Hendrik Blockeel, Laurens Devos, Benoît Frénay, Géraldin Nanfack, Siegfried Nijssen

Frontiers Artif. Intell., February, 2023

Detecting Evasion Attacks in Deployed Tree Ensembles.

Laurens Devos, Lorenzo Perini, Wannes Meert, Jesse Davis

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Adversarial Example Detection in Deployed Tree Ensembles.

Laurens Devos, Wannes Meert, Jesse Davis

CoRR, 2022

Bitpaths: Compressing Datasets Without Decreasing Predictive Performance.

Loren Nuyts, Laurens Devos, Wannes Meert, Jesse Davis

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

Evaluating Sports Analytics Models: Challenges, Approaches, and Lessons Learned.

Jesse Davis, Lotte Bransen, Laurens Devos, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy

Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2021

Verifying Tree Ensembles by Reasoning about Potential Instances.

Laurens Devos, Wannes Meert, Jesse Davis

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Versatile Verification of Tree Ensembles.

Laurens Devos, Wannes Meert, Jesse Davis

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Additive Tree Ensembles: Reasoning About Potential Instances.

Laurens Devos, Wannes Meert, Jesse Davis

CoRR, 2020

2019

Fast Gradient Boosting Decision Trees with Bit-Level Data Structures.

Laurens Devos, Wannes Meert, Jesse Davis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019