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Tristan Glatard

Department of Computer Science and Software Engineering, Concordia University, Montréal, QC, Canada

Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics


Sep 20, 2021
Gregory Kiar, Yohan Chatelain, Ali Salari, Alan C. Evans, Tristan Glatard


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A Recommender System for Scientific Datasets and Analysis Pipelines


Aug 20, 2021
Mandana Mazaheri, Gregory Kiar, Tristan Glatard


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Accurate simulation of operating system updates in neuroimaging using Monte-Carlo arithmetic


Aug 06, 2021
Ali Salari, Yohan Chatelain, Gregory Kiar, Tristan Glatard

* 10 pages, 4 figures, 19 references 

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Reducing numerical precision preserves classification accuracy in Mondrian Forests


Jun 28, 2021
Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard

* 6 pages, 3 tables, 2 figures. Keywords: numerical precision, memory footprint, Mondrian Forests, human activity, recognition, data streams, supervised classification, floating-point representation 

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A benchmark of data stream classification for human activity recognition on connected objects


Aug 27, 2020
Martin Khannouz, Tristan Glatard

* 8 pages, 9 figures, for a journal 

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Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?


Jul 17, 2020
Antoine HĂ©bert, Ian Marineau, Gilles Gervais, Tristan Glatard, Brigitte Jaumard


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High-Resolution Road Vehicle Collision Prediction for the City of Montreal


May 21, 2019
Antoine Hébert, Timothée Guédon, Tristan Glatard, Brigitte Jaumard


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Subject Cross Validation in Human Activity Recognition


Apr 09, 2019
Akbar Dehghani, Tristan Glatard, Emad Shihab


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Data models for service failure prediction in supply-chain networks


Oct 20, 2018
Monika Sharma, Tristan Glatard, Eric Gelinas, Mariam Tagmouti, Brigitte Jaumard


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Predicting computational reproducibility of data analysis pipelines in large population studies using collaborative filtering


Sep 26, 2018
Soudabeh Barghi, Lalet Scaria, Ali Salari, Tristan Glatard


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