First-order logic learning in Artificial Neural Networks. - Mathieu Guillame-Bert; Krysia Broda; Artur S. d'Avila Garcez (IJCNN, 2010)

New Approach on Temporal Data Mining for Symbolic Time Sequences: Temporal Tree Associate Rules. - Mathieu Guillame-Bert; James L. Crowley (ICTAI, 2011)

Planning with Inaccurate Temporal Rules. - Mathieu Guillame-Bert; James L. Crowley (ICTAI, 2012)

Learning Temporal Association Rules on Symbolic Time Sequences. - Mathieu Guillame-Bert; James L. Crowley (ACML, 2012)

Apprentissage de règles associatives temporelles pour les séquences temporelles de symboles. (Learning temporal association rules on Symbolic time sequences). - Mathieu Guillame-Bert (2012)

Data-Driven Classification of Screwdriving Operations. - Reuben M. Aronson; Ankit Bhatia; Zhenzhong Jia; Mathieu Guillame-Bert; David A. Bourne; Artur Dubrawski; Matthew T. Mason (ISER, 2016)

Honey: A dataflow programming language for the processing, featurization and analysis of multivariate, asynchronous and non-uniformly sampled scalar symbolic time sequences. - Mathieu Guillame-Bert (CoRR, 2016)

Batched Lazy Decision Trees. - Mathieu Guillame-Bert; Artur Dubrawski (CoRR, 2016)

Learning temporal rules to forecast instability in continuously monitored patients. - Mathieu Guillame-Bert; Artur Dubrawski; Donghan Wang; Marilyn Hravnak; Gilles Clermont; Michael R. Pinsky (J. Am. Medical Informatics Assoc., 2017)

Classification of Time Sequences using Graphs of Temporal Constraints. - Mathieu Guillame-Bert; Artur Dubrawski (J. Mach. Learn. Res., 2017)

Exact Distributed Training: Random Forest with Billions of Examples. - Mathieu Guillame-Bert; Olivier Teytaud (CoRR, 2018)

Learning Representations for Axis-Aligned Decision Forests through Input Perturbation. - Sebastian Bruch 001; Jan Pfeifer; Mathieu Guillame-Bert (CoRR, 2020)

Modeling Text with Decision Forests using Categorical-Set Splits. - Mathieu Guillame-Bert; Sebastian Bruch 001; Petr Mitrichev; Petr Mikheev; Jan Pfeifer (CoRR, 2020)

Generative Trees: Adversarial and Copycat. - Richard Nock; Mathieu Guillame-Bert (ICML, 2022)

Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library. - Mathieu Guillame-Bert; Sebastian Bruch 001; Richard Stotz; Jan Pfeifer (KDD, 2023)

Generative Forests. - Richard Nock; Mathieu Guillame-Bert (NeurIPS, 2024)

Boosting gets full Attention for Relational Learning. - Mathieu Guillame-Bert; Richard Nock (CoRR, 2024)