Jacques Corbeil

Orcid: 0000-0002-9973-2740

According to our database1, Jacques Corbeil authored at least 28 papers between 2001 and 2024.

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Bibliography

2024
Learning self-supervised molecular representations for drug-drug interaction prediction.
BMC Bioinform., December, 2024

2023
Invariant Causal Set Covering Machines.
CoRR, 2023

Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

MOT: A Multi-Omics Transformer for Multiclass Classification Tumour Types Predictions.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022
RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data.
CoRR, 2022

Integrating and reporting full multi-view supervised learning experiments using SuMMIT.
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

2021
Exploring polypharmacy with artificial intelligence: data analysis protocol.
BMC Medical Informatics Decis. Mak., 2021

On the robustness of generalization of drug-drug interaction models.
BMC Bioinform., 2021

Optimization & Characterization of Interdigitated Electrodes for Microbial Growth Monitoring.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Applying PySCMGroup to Breast Cancer Biomarkers Discovery.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020
The EcoChip 2: An Autonomous Sensor Platform for Multimodal Bio-environmental Monitoring of the Northern Habitat.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018
The EcoChip: A Wireless Multi-Sensor Platform for Comprehensive Environmental Monitoring.
IEEE Trans. Biomed. Circuits Syst., 2018

The EcoChip: A Wireless Multi-Sensor Platform for Comprehensive Environmental Monitoring.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2016
Large scale modeling of antimicrobial resistance with interpretable classifiers.
CoRR, 2016

Making Linked Data SPARQL with the InterMine Biological Data Warehouse.
Proceedings of the 9th International Conference Semantic Web Applications and Tools for Life Sciences, 2016

Semantic Research Platform for Model Organisms.
Proceedings of the First International Workshop on Biomedical Data Integration and Discovery (BMDID 2016) co-located with The 15th International Semantic Web Conference (ISWC 2016), 2016

2015
Machine Learning Assisted Design of Highly Active Peptides for Drug Discovery.
PLoS Comput. Biol., 2015

Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance.
CoRR, 2015

2014
Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine.
CoRR, 2014

2013
Learning a peptide-protein binding affinity predictor with kernel ridge regression.
BMC Bioinform., 2013

Human Analysts at Superhuman Scales: What Has Friendly Software To Do?
Big Data, 2013

2012
Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Building an HIV data mashup using Bio2RDF.
Briefings Bioinform., 2012

2011
A General Framework for Analyzing Data from Two Short Time-Series Microarray Experiments.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

2010
Ray: Simultaneous Assembly of Reads from a Mix of High-Throughput Sequencing Technologies.
J. Comput. Biol., 2010

2003
2HAPI: A Microarray Data Analysis System.
Bioinform., 2003

2002
Statistical analysis of high-density oligonucleotide arrays: a multiplicative noise model.
Bioinform., 2002

2001
Use of keyword hierarchies to interpret gene expression patterns.
Bioinform., 2001


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