38 citations · 73 across the 31 of their papers we have counts for
34 papers
Performance comparison of Dask and Apache Spark on HPC systems for Neuroimaging
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
The general increase in data size and data sharing motivates the adoption of Big Data strategies in several scientific disciplines. However, while several options are available, no…
Hierarchical storage management in user space for neuroimaging applications
Valérie Hayot-Sasson, Tristan Glatard
Neuroimaging open-data initiatives have led to increased availability of large scientific datasets. While these datasets are shifting the processing bottleneck from compute-intensi…
Classification of Anomalies in Telecommunication Network KPI Time Series
Korantin Bordeau-Aubert, Justin Whatley, Sylvain Nadeau +2
The increasing complexity and scale of telecommunication networks have led to a growing interest in automated anomaly detection systems. However, the classification of anomalies de…
Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis
Inés Gonzalez Pepe, Vinuyan Sivakolunthu, Hae Lang Park +2
This paper investigates the numerical uncertainty of Convolutional Neural Networks (CNNs) inference for structural brain MRI analysis. It applies Random Rounding -- a stochastic ar…
A numerical variability approach to results stability tests and its application to neuroimaging
Yohan Chatelain, Loïc Tetrel, Christopher J. Markiewicz +5
Ensuring the long-term reproducibility of data analyses requires results stability tests to verify that analysis results remain within acceptable variation bounds despite inevitabl…
Numerical Stability of DeepGOPlus Inference
Inés Gonzalez Pepe, Yohan Chatelain, Gregory Kiar +1
Convolutional neural networks (CNNs) are currently among the most widely-used deep neural network (DNN) architectures available and achieve state-of-the-art performance for many pr…