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2020 – today
- 2023
[j9]Yohan Chatelain, Nigel Yong Sao Young, Gregory Kiar, Tristan Glatard:
PyTracer: Automatically Profiling Numerical Instabilities in Python. IEEE Trans. Computers 72(6): 1792-1803 (2023)- 2022
- [i10]Xinhui Li, Alex Fedorov, Mrinal Mathur, Anees Abrol, Gregory Kiar, Sergey M. Plis, Vince D. Calhoun:
Pipeline-Invariant Representation Learning for Neuroimaging. CoRR abs/2208.12909 (2022) - [i9]Inés Gonzalez Pepe, Yohan Chatelain, Gregory Kiar, Tristan Glatard:
Numerical Stability of DeepGOPlus Inference. CoRR abs/2212.06361 (2022) - 2021
- [j8]Eric W. Bridgeford
, Shangsi Wang, Zeyi Wang, Ting Xu, R. Cameron Craddock, Jayanta Dey, Gregory Kiar, William R. Gray Roncal, Carlo Colantuoni, Christopher Douville, Stephanie Noble, Carey E. Priebe, Brian Caffo, Michael P. Milham, Xi-Nian Zuo, Joshua T. Vogelstein:
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS Comput. Biol. 17(9) (2021) - [c4]Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard:
Reducing numerical precision preserves classification accuracy in Mondrian Forests. IEEE BigData 2021: 2785-2790 - [c3]Ali Salari, Yohan Chatelain, Gregory Kiar, Tristan Glatard:
Accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic. UNSURE/PIPPI@MICCAI 2021: 14-23 - [c2]Mandana Mazaheri, Gregory Kiar, Tristan Glatard:
A Recommender System for Scientific Datasets and Analysis Pipelines. WORKS 2021: 1-8 - [i8]Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard:
Reducing numerical precision preserves classification accuracy in Mondrian Forests. CoRR abs/2106.14340 (2021) - [i7]Mandana Mazaheri, Gregory Kiar, Tristan Glatard:
A Recommender System for Scientific Datasets and Analysis Pipelines. CoRR abs/2108.09275 (2021) - [i6]Gregory Kiar, Yohan Chatelain, Ali Salari, Alan C. Evans, Tristan Glatard:
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics. CoRR abs/2109.09649 (2021) - [i5]Yohan Chatelain, Nigel Yong, Gregory Kiar, Tristan Glatard:
PyTracer: Automatically profiling numerical instabilities in Python. CoRR abs/2112.11508 (2021) - 2020
- [j7]Jorge Bosch-Bayard, Eduardo Aubert-Vázquez, Shawn T. Brown, Christine Rogers, Gregory Kiar, Tristan Glatard, Lalet Scaria, Lídice Galán-García, Maria L. Bringas-Vega, Trinidad Virués-Alba, Armin Taheri, Samir Das, Cecile Madjar, Zia Mohaddes, Leigh C. MacIntyre, Alan C. Evans, Pedro A. Valdés-Sosa:
A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra. Frontiers Neuroinformatics 14: 33 (2020) - [j6]Gregory Kiar, Pablo de Oliveira Castro, Pierre Rioux, Eric Petit, Shawn T. Brown, Alan C. Evans, Tristan Glatard:
Comparing perturbation models for evaluating stability of neuroimaging pipelines. Int. J. High Perform. Comput. Appl. 34(5) (2020) - [j5]Mingli Zhang, Christian Desrosiers, Yuhong Guo, Budhachandra S. Khundrakpam, Noor Al-Sharif, Gregory Kiar, Pedro A. Valdés-Sosa, Jean-Baptiste Poline, Alan C. Evans:
Brain status modeling with non-negative projective dictionary learning. NeuroImage 206 (2020) - [c1]Pierre Rioux, Gregory Kiar, Alexandre Hutton, Alan C. Evans, Shawn T. Brown:
Deploying large fixed file datasets with SquashFS and Singularity. PEARC 2020: 72-76 - [i4]Pierre Rioux, Gregory Kiar, Alexandre Hutton, Alan C. Evans, Shawn T. Brown:
Deploying large fixed file datasets with SquashFS and Singularity. CoRR abs/2002.06129 (2020)
2010 – 2019
- 2019
- [j4]Gregory Kiar, Shawn T. Brown, Tristan Glatard, Alan C. Evans:
A Serverless Tool for Platform Agnostic Computational Experiment Management. Frontiers Neuroinformatics 13: 12 (2019) - [j3]Tal Yarkoni, Christopher J. Markiewicz, Alejandro de la Vega, Krzysztof J. Gorgolewski, Taylor Salo, Yaroslav O. Halchenko, Quinten McNamara, Krista Destasio, Jean-Baptiste Poline, Dmitry Petrov, Valérie Hayot-Sasson, Dylan Nielson, Johan D. Carlin, Gregory Kiar, Kirstie J. Whitaker, Elizabeth Dupre, Adina Wagner, Lee S. Tirrell, Mainak Jas, Michael Hanke, Russell A. Poldrack, Oscar Esteban, Stefan Appelhoff, Chris Holdgraf, Isla Staden, Bertrand Thirion, Dave F. Kleinschmidt, John Lee, Matteo di Castello, Michael Notter, Ross Blair:
PyBIDS: Python tools for BIDS datasets. J. Open Source Softw. 4(40): 1294 (2019) - [i3]Gregory Kiar, Pablo de Oliveira Castro, Pierre Rioux, Eric Petit, Shawn T. Brown, Alan C. Evans, Tristan Glatard:
Comparing Perturbation Models for Evaluating Stability of Post-Processing Pipelines in Neuroimaging. CoRR abs/1908.10922 (2019) - 2018
- [j2]Jordan Matelsky, Gregory Kiar, Erik C. Johnson, Corban Rivera, Michael Toma, William R. Gray Roncal:
Container-Based Clinical Solutions for Portable and Reproducible Image Analysis. J. Digit. Imaging 31(3): 315-320 (2018) - [i2]Gregory Kiar, Shawn T. Brown, Tristan Glatard, Alan C. Evans:
A Serverless Tool for Platform Agnostic Computational Experiment Management. CoRR abs/1809.07693 (2018) - 2017
- [j1]Krzysztof J. Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capota, M. Mallar Chakravarty, Nathan William Churchill, Alexander Li Cohen, R. Cameron Craddock, Gabriel A. Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S. Ghosh, J. Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher John Steele, Pierre-Olivier Quirion, Robert E. Smith, Stephen C. Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A. Poldrack:
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. PLoS Comput. Biol. 13(3) (2017) - [i1]Tristan Glatard, Gregory Kiar, Tristan Aumentado-Armstrong, Natacha Beck, Pierre Bellec, Rémi Bernard, Axel Bonnet, Sorina Camarasu-Pop, Frédéric Cervenansky, Samir Das, Rafael Ferreira da Silva, Guillaume Flandin, Pascal Girard, Krzysztof J. Gorgolewski, Charles R. G. Guttmann, Valérie Hayot-Sasson, Pierre-Olivier Quirion, Pierre Rioux, Marc-Etienne Rousseau, Alan C. Evans:
Boutiques: a flexible framework for automated application integration in computing platforms. CoRR abs/1711.09713 (2017)
Coauthor Index
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last updated on 2023-05-17 21:11 CEST by the dblp team
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