Mathieu Guillame-Bert

21 papers A* 3B 3C 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Vectorized Adaptive Histograms for Sparse Oblique Forests. CoRR Ariel Lubonja, Jungsang Yoon, Haoyin Xu, Yue Wan, Yilin Xu, Richard Stotz, Mathieu Guillame-Bert, Joshua T. Vogelstein, Randal C. Burns
2024	J	`jnl`	Boosting gets full Attention for Relational Learning. CoRR Mathieu Guillame-Bert, Richard Nock
2024	A*	`conf`	Generative Forests. NeurIPS Richard Nock, Mathieu Guillame-Bert
2023	J	`jnl`	Generative Forests. CoRR Richard Nock, Mathieu Guillame-Bert
2023	A*	`conf`	Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library. KDD Mathieu Guillame-Bert, Sebastian Bruch, Richard Stotz, Jan Pfeifer
2022	A*	`conf`	Generative Trees: Adversarial and Copycat. ICML Richard Nock, Mathieu Guillame-Bert
2022	J	`jnl`	Generative Trees: Adversarial and Copycat. CoRR Richard Nock, Mathieu Guillame-Bert
2022	J	`jnl`	Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library. CoRR Mathieu Guillame-Bert, Sebastian Bruch, Richard Stotz, Jan Pfeifer
2020	J	`jnl`	Learning Representations for Axis-Aligned Decision Forests through Input Perturbation. CoRR Sebastian Bruch, Jan Pfeifer, Mathieu Guillame-Bert
2020	J	`jnl`	Modeling Text with Decision Forests using Categorical-Set Splits. CoRR Mathieu Guillame-Bert, Sebastian Bruch, Petr Mitrichev, Petr Mikheev, Jan Pfeifer
2018	J	`jnl`	Exact Distributed Training: Random Forest with Billions of Examples. CoRR Mathieu Guillame-Bert, Olivier Teytaud
2017	J	`jnl`	Classification of Time Sequences using Graphs of Temporal Constraints. J. Mach. Learn. Res. Mathieu Guillame-Bert, Artur Dubrawski
2017	J	`jnl`	Learning temporal rules to forecast instability in continuously monitored patients. J. Am. Medical Informatics Assoc. Mathieu Guillame-Bert, Artur Dubrawski, Donghan Wang, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky
2016	J	`jnl`	Batched Lazy Decision Trees. CoRR Mathieu Guillame-Bert, Artur Dubrawski
2016	—	`conf`	Data-Driven Classification of Screwdriving Operations. ISER Reuben M. Aronson, Ankit Bhatia, Zhenzhong Jia, Mathieu Guillame-Bert, David A. Bourne, Artur Dubrawski, Matthew T. Mason
2016	J	`jnl`	Honey: A dataflow programming language for the processing, featurization and analysis of multivariate, asynchronous and non-uniformly sampled scalar symbolic time sequences. CoRR Mathieu Guillame-Bert
2012	—	`—`	Apprentissage de règles associatives temporelles pour les séquences temporelles de symboles. (Learning temporal association rules on Symbolic time sequences). Mathieu Guillame-Bert
2012	C	`conf`	Learning Temporal Association Rules on Symbolic Time Sequences. ACML Mathieu Guillame-Bert, James L. Crowley
2012	B	`conf`	Planning with Inaccurate Temporal Rules. ICTAI Mathieu Guillame-Bert, James L. Crowley
2011	B	`conf`	New Approach on Temporal Data Mining for Symbolic Time Sequences: Temporal Tree Associate Rules. ICTAI Mathieu Guillame-Bert, James L. Crowley
2010	B	`conf`	First-order logic learning in Artificial Neural Networks. IJCNN Mathieu Guillame-Bert, Krysia Broda, Artur S. d'Avila Garcez