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08/30/2023
Classification of Anomalies in Telecommunication Network KPI Time Series
The increasing complexity and scale of telecommunication networks have l...
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07/03/2023
A numerical variability approach to results stability tests and its application to neuroimaging
Ensuring the long-term reproducibility of data analyses requires results...
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12/13/2022
Numerical Stability of DeepGOPlus Inference
Convolutional neural networks (CNNs) are currently among the most widely...
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10/11/2022
Dynamic Ensemble Size Adjustment for Memory Constrained Mondrian Forest
Supervised learning algorithms generally assume the availability of enou...
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07/04/2022
Sea: A lightweight data-placement library for Big Data scientific computing
The recent influx of open scientific data has contributed to the transit...
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05/12/2022
Mondrian Forest for Data Stream Classification Under Memory Constraints
Supervised learning algorithms generally assume the availability of enou...
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12/21/2021
PyTracer: Automatically profiling numerical instabilities in Python
Numerical stability is a crucial requirement of reliable scientific comp...
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09/20/2021
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics
Machine learning models are commonly applied to human brain imaging data...
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08/24/2021
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows
To support the growing demands of neuroscience applications, researchers...
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08/20/2021
A Recommender System for Scientific Datasets and Analysis Pipelines
Scientific datasets and analysis pipelines are increasingly being shared...
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06/28/2021
Reducing numerical precision preserves classification accuracy in Mondrian Forests
Mondrian Forests are a powerful data stream classification method, but t...
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01/05/2021
Modeling the Linux page cache for accurate simulation of data-intensive applications
The emergence of Big Data in recent years has resulted in a growing need...
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10/27/2020
An Analysis of Security Vulnerabilities in Container Images for Scientific Data Analysis
Software containers greatly facilitate the deployment and reproducibilit...
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08/27/2020
A benchmark of data stream classification for human activity recognition on connected objects
This paper evaluates data stream classifiers from the perspective of con...
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07/17/2020
Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?
Road accidents have a high societal cost that could be reduced through i...
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12/26/2019
Performance benefits of Intel(R) OptaneTM DC persistent memory for the parallel processing of large neuroimaging data
Open-access neuroimaging datasets have reached petabyte scale, and conti...
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08/28/2019
Comparing Perturbation Models for Evaluating Stability of Post-Processing Pipelines in Neuroimaging
A lack of software reproducibility has become increasingly apparent in t...
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07/30/2019
A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines
In the past few years, neuroimaging has entered the Big Data era due to ...
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07/05/2019
A Conceptual Marketplace Model for IoT Generated Personal Data
We propose a decentralized conceptual marketplace model for IoT generate...
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05/29/2019
Evaluation of pilot jobs for Apache Spark applications on HPC clusters
Big Data has become prominent throughout many scientific fields and, as ...
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05/21/2019
High-Resolution Road Vehicle Collision Prediction for the City of Montreal
Road accidents are an important issue of our modern societies, responsib...
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04/04/2019
Subject Cross Validation in Human Activity Recognition
K-fold Cross Validation is commonly used to evaluate classifiers and tun...
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12/16/2018
Performance Evaluation of Big Data Processing Strategies for Neuroimaging
Neuroimaging datasets are rapidly growing in size as a result of advance...
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11/25/2018
A multi-dimensional extension of the Lightweight Temporal Compression method
Lightweight Temporal Compression (LTC) is among the lossy stream compres...
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10/20/2018
Data models for service failure prediction in supply-chain networks
We aim to predict and explain service failures in supply-chain networks,...
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09/26/2018
Predicting computational reproducibility of data analysis pipelines in large population studies using collaborative filtering
Evaluating the computational reproducibility of data analysis pipelines ...
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09/02/2018
A Serverless Tool for Platform Agnostic Computational Experiment Management
Neuroscience has been carried into the domain of big data and high perfo...
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11/08/2017