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Articles by
Tristan Glatard
Training Compute-Optimal Vision Transformers for Brain Encoding
17 October 2024 by
Sana Ahmadi
and
others
Image and Video Processing
,
Computer Vision and Pattern Recognition
Performance comparison of Dask and Apache Spark on HPC systems for Neuroimaging
3 June 2024 by
Mathieu Dugré
and
others
Distributed, Parallel, and Cluster Computing
An Analysis of Performance Bottlenecks in MRI Pre-Processing
27 May 2024 by
Mathieu Dugré
and
others
Performance
Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study
24 May 2024 by
Elodie Germani
and
others
Neurons and Cognition
,
Artificial Intelligence
Hierarchical storage management in user space for neuroimaging applications
17 April 2024 by
Valérie Hayot-Sasson
and
Tristan Glatard
Distributed, Parallel, and Cluster Computing
Scaling up ridge regression for brain encoding in a massive individual fMRI dataset
28 March 2024 by
Sana Ahmadi
and
others
Machine Learning
,
Artificial Intelligence
Numerical Stability of DeepGOPlus Inference
28 February 2024 by
Inés Gonzalez Pepe
and
others
Machine Learning
,
Quantitative Methods
Longitudinal brain structure changes in Parkinson's disease: a replication study
31 January 2024 by
Andrzej Sokolowski
and
others
Neuroscience
Classification of Anomalies in Telecommunication Network KPI Time Series
30 August 2023 by
Korantin Bordeau-Aubert
and
others
Machine Learning
Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis
3 August 2023 by
Inés Gonzalez Pepe
and
others
Image and Video Processing
,
Medical Physics
A numerical variability approach to results stability tests and its application to neuroimaging
10 July 2023 by
Yohan Chatelain
and
others
Medical Physics
,
Software Engineering
Mondrian Forest for Data Stream Classification Under Memory Constraints
16 September 2022 by
Martin Khannouz
and
Tristan Glatard
Machine Learning
,
Artificial Intelligence
Sea: A lightweight data-placement library for Big Data scientific computing
4 July 2022 by
Valérie Hayot-Sasson
and
others
Distributed, Parallel, and Cluster Computing
PyTracer: Automatically profiling numerical instabilities in Python
8 February 2022 by
Yohan Chatelain
and
others
Mathematical Software
,
Numerical Analysis
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics
21 September 2021 by
Gregory Kiar
and
others
at
McGill University
Neuroscience
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics
20 September 2021 by
Gregory Kiar
and
others
Quantitative Methods
,
Machine Learning
BigBrainWarp: Toolbox for integration of BigBrain 3D histology with mutlimodal neuroimaging
25 August 2021 by
Casey Paquola
and
others
Neuroscience
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows
24 August 2021 by
Valérie Hayot-Sasson
and
others
Distributed, Parallel, and Cluster Computing
A Recommender System for Scientific Datasets and Analysis Pipelines
20 August 2021 by
Mandana Mazaheri
and
others
Information Retrieval
,
Machine Learning
Accurate simulation of operating system updates in neuroimaging using Monte-Carlo arithmetic
6 August 2021 by
Ali Salari
and
others
Neurons and Cognition
,
Image and Video Processing
An Analysis of Security Vulnerabilities in Container Images for Scientific Data Analysis
17 March 2021 by
Bhupinder Kaur
and
others
Cryptography and Security
Modeling the Linux page cache for accurate simulation of data-intensive applications
5 January 2021 by
Hoang-Dung Do
and
others
Distributed, Parallel, and Cluster Computing
,
Performance
File-based localization of numerical perturbations in data analysis pipelines
29 September 2020 by
Ali Salari
and
others
Quantitative Methods
,
Image and Video Processing
A benchmark of data stream classification for human activity recognition on connected objects
27 August 2020 by
Martin Khannouz
and
Tristan Glatard
Machine Learning
Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?
17 July 2020 by
Antoine Hébert
and
others
Machine Learning
Performance benefits of Intel(R) OptaneTM DC persistent memory for the parallel processing of large neuroimaging data
26 December 2019 by
Valérie Hayot-Sasson
and
others
Performance
High-Resolution Road Vehicle Collision Prediction for the City of Montreal
23 October 2019 by
Antoine Hébert
and
others
Machine Learning
Comparing Perturbation Models for Evaluating Stability of Neuroimaging Pipelines
17 October 2019 by
Gregory Kiar
and
others
Neurons and Cognition
,
Image and Video Processing
A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines
31 July 2019 by
Mathieu Dugré
and
others
Distributed, Parallel, and Cluster Computing
,
Performance
A Conceptual Marketplace Model for IoT Generated Personal Data
5 July 2019 by
Victor Molina
and
others
Computers and Society
,
Social and Information Networks
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