6 citations · 7 across the 7 of their papers we have counts for
7 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…
Scaling up ridge regression for brain encoding in a massive individual fMRI dataset
Sana Ahmadi, Pierre Bellec, Tristan Glatard
Brain encoding with neuroimaging data is an established analysis aimed at predicting human brain activity directly from complex stimuli features such as movie frames. Typically, th…
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…
Sea: A lightweight data-placement library for Big Data scientific computing
Valérie Hayot-Sasson, Mathieu Dugré, Tristan Glatard
The recent influx of open scientific data has contributed to the transitioning of scientific computing from compute intensive to data intensive. Whereas many Big Data frameworks ex…