Mathieu Guillame-Bert

According to our database, Mathieu Guillame-Bert authored at least 17 papers between 2010 and 2024.

Collaborative distances:

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

2024

Boosting gets full Attention for Relational Learning.

Mathieu Guillame-Bert, Richard Nock

CoRR, 2024

2023

Generative Forests.

Richard Nock, Mathieu Guillame-Bert

CoRR, 2023

Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library.

Mathieu Guillame-Bert, Sebastian Bruch, Richard Stotz, Jan Pfeifer

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Generative Trees: Adversarial and Copycat.

Richard Nock, Mathieu Guillame-Bert

Proceedings of the International Conference on Machine Learning, 2022

2020

Modeling Text with Decision Forests using Categorical-Set Splits.

Mathieu Guillame-Bert, Sebastian Bruch, Petr Mitrichev, Petr Mikheev, Jan Pfeifer

CoRR, 2020

Learning Representations for Axis-Aligned Decision Forests through Input Perturbation.

Sebastian Bruch, Jan Pfeifer, Mathieu Guillame-Bert

CoRR, 2020

2018

Exact Distributed Training: Random Forest with Billions of Examples.

Mathieu Guillame-Bert, Olivier Teytaud

CoRR, 2018

2017

Classification of Time Sequences using Graphs of Temporal Constraints.

Mathieu Guillame-Bert, Artur Dubrawski

J. Mach. Learn. Res., 2017

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

2016

Batched Lazy Decision Trees.

Mathieu Guillame-Bert, Artur Dubrawski

CoRR, 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

Data-Driven Classification of Screwdriving Operations.

Reuben M. Aronson, Ankit Bhatia, Zhenzhong Jia, Mathieu Guillame-Bert, David A. Bourne, Artur Dubrawski, Matthew T. Mason

Proceedings of the International Symposium on Experimental Robotics, 2016

2012

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

Mathieu Guillame-Bert

PhD thesis, 2012

Learning Temporal Association Rules on Symbolic Time Sequences.

Mathieu Guillame-Bert, James L. Crowley

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Planning with Inaccurate Temporal Rules.

Mathieu Guillame-Bert, James L. Crowley

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011

New Approach on Temporal Data Mining for Symbolic Time Sequences: Temporal Tree Associate Rules.

Mathieu Guillame-Bert, James L. Crowley

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010

First-order logic learning in Artificial Neural Networks.

Mathieu Guillame-Bert, Krysia Broda, Artur S. d'Avila Garcez

Proceedings of the International Joint Conference on Neural Networks, 2010