Maxence Vandromme

According to our database, Maxence Vandromme authored at least 9 papers between 2016 and 2024.

Collaborative distances:

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

2024

Sequences of Distributed Matrix-Vector Product for Very Large and Very Sparse Irregular Matrices.

Maxence Vandromme, Nicolas Hochart, Serge G. Petiton, Jérôme Gurhem, Miwako Tsuji, Mitsuhisa Sato

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2023

Graph structure and homophily for label propagation in Graph Neural Networks.

Maxence Vandromme, Serge G. Petiton

Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2023

2022

A Biclustering Method for Heterogeneous and Temporal Medical Data.

Maxence Vandromme, Julie Jacques, Julien Taillard, Laetitia Jourdan, Clarisse Dhaenens

IEEE Trans. Knowl. Data Eng., 2022

Efficient Parallel PageRank Algorithm for Network Analysis.

Maxence Vandromme, Serge G. Petiton

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Scaling the PageRank Algorithm for Very Large Graphs on the Fugaku Supercomputer.

Maxence Vandromme, Jérôme Gurhem, Miwako Tsuji, Serge G. Petiton, Mitsuhisa Sato

Proceedings of the Computational Science - ICCS 2022, 2022

2021

Sequences of Sparse Matrix-Vector Multiplication on Fugaku's A64FX processors.

Jérôme Gurhem, Maxence Vandromme, Miwako Tsuji, Serge G. Petiton, Mitsuhisa Sato

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

Automated Phenotyping of Patients with Non-Alcoholic Fatty Liver Disease Reveals Clinically RelevantDisease Subtypes.

Maxence Vandromme, Tomi Jun, Ponni Perumalswami, Joel T. Dudley, Andrea Branch, Li Li

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2017

Extraction and optimization of classification rules for temporal sequences: Application to hospital data.

Maxence Vandromme, Julie Jacques, Julien Taillard, Arnaud Hansske, Laetitia Vermeulen-Jourdan, Clarisse Dhaenens

Knowl. Based Syst., 2017

2016

A Scalable Biclustering Method for Heterogeneous Medical Data.

Maxence Vandromme, Julie Jacques, Julien Taillard, Laetitia Jourdan, Clarisse Dhaenens

Proceedings of the Machine Learning, Optimization, and Big Data, 2016