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Irina Rish

Showing results (1-10 of 18) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|August 30, 2017
Functional Network Disruptions in SchizophreniaIrina Rish, Guillermo A Cecchi
Journal of Biomechanics|May 15, 2023
Estimating individual minimum calibration for deep-learning with predictive performance recovery: An example case of gait surface classification from wearable sensor gait dataGuillaume Lam, Irina Rish, Philippe C Dixon
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 14, 2016
MINT: Mutual Information Based Transductive Feature Selection for Genetic Trait PredictionDan He, Irina Rish, David Haws, et al.
Journal of Neural Engineering|May 27, 2025
Artificial neural networks for magnetoencephalography: a review of an emerging fieldArthur Dehgan, Hamza Abdelhedi, Vanessa Hadid, et al.
Scientific Reports|December 10, 2025
Critical role of EEG signals in assessment of sex-specific insights in neurological diagnostics via machine learning approachMohammad-Javad Darvishi-Bayazi, Mohammad Sajjad Ghaemi, Irina Rish, et al.
Neuroimage|September 17, 2008
Prediction and interpretation of distributed neural activity with sparse modelsMelissa K Carroll, Guillermo A Cecchi, Irina Rish, et al.
IEEE Transactions on Neural Networks|October 29, 2005
Adaptive diagnosis in distributed systemsIrina Rish, Mark Brodie, Sheng Ma, et al.
Scientific Reports|August 28, 2023
Beyond performance: the role of task demand, effort, and individual differences in ab initio pilotsMohammad-Javad Darvishi-Bayazi, Andrew Law, Sergio Mejia Romero, et al.
Frontiers in Artificial Intelligence|August 1, 2022
Generative Models of Brain DynamicsMahta Ramezanian-Panahi, Germán Abrevaya, Jean-Christophe Gagnon-Audet, et al.
Computers in Biology and Medicine|January 6, 2024
Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learningMohammad-Javad Darvishi-Bayazi, Mohammad Sajjad Ghaemi, Timothee Lesort, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|August 30, 2017
Functional Network Disruptions in SchizophreniaIrina Rish, Guillermo A Cecchi
Journal of Biomechanics|May 15, 2023
Estimating individual minimum calibration for deep-learning with predictive performance recovery: An example case of gait surface classification from wearable sensor gait dataGuillaume Lam, Irina Rish, Philippe C Dixon
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 14, 2016
MINT: Mutual Information Based Transductive Feature Selection for Genetic Trait PredictionDan He, Irina Rish, David Haws, et al.
Journal of Neural Engineering|May 27, 2025
Artificial neural networks for magnetoencephalography: a review of an emerging fieldArthur Dehgan, Hamza Abdelhedi, Vanessa Hadid, et al.
Scientific Reports|December 10, 2025
Critical role of EEG signals in assessment of sex-specific insights in neurological diagnostics via machine learning approachMohammad-Javad Darvishi-Bayazi, Mohammad Sajjad Ghaemi, Irina Rish, et al.
Neuroimage|September 17, 2008
Prediction and interpretation of distributed neural activity with sparse modelsMelissa K Carroll, Guillermo A Cecchi, Irina Rish, et al.
IEEE Transactions on Neural Networks|October 29, 2005
Adaptive diagnosis in distributed systemsIrina Rish, Mark Brodie, Sheng Ma, et al.
Scientific Reports|August 28, 2023
Beyond performance: the role of task demand, effort, and individual differences in ab initio pilotsMohammad-Javad Darvishi-Bayazi, Andrew Law, Sergio Mejia Romero, et al.
Frontiers in Artificial Intelligence|August 1, 2022
Generative Models of Brain DynamicsMahta Ramezanian-Panahi, Germán Abrevaya, Jean-Christophe Gagnon-Audet, et al.
Computers in Biology and Medicine|January 6, 2024
Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learningMohammad-Javad Darvishi-Bayazi, Mohammad Sajjad Ghaemi, Timothee Lesort, et al.
Pageof 2