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08/04/2023
A Parameter-efficient Multi-subject Model for Predicting fMRI Activity
This is the Algonauts 2023 submission report for team "BlobGPT". Our mod...
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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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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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08/20/2021
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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02/14/2020
Deploying large fixed file datasets with SquashFS and Singularity
Shared high-performance computing (HPC) platforms, such as those provide...
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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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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