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Narges Armanfard

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IEEE Transactions on Neural Networks and Learning Systems|July 7, 2023
Deep Multirepresentation Learning for Data ClusteringMohammadreza Sadeghi, Narges Armanfard
IEEE Transactions on Neural Networks and Learning Systems|February 19, 2024
Deep Reinforcement Learning in Human Activity Recognition: A Survey and OutlookBahareh Nikpour, Dimitrios Sinodinos, Narges Armanfard
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 20, 2020
Multiview Feature Selection for Single-View ClassificationMajid Komeili, Narges Armanfard, Dimitrios Hatzinakos
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Development of a Smart Home-Based Package for Unobtrusive Physiological MonitoringNarges Armanfard, Majid Komeili, Alex Mihailidis
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 22, 2015
Local Feature Selection for Data ClassificationNarges Armanfard, James P Reilly, Majid Komeili
IEEE Transactions on Neural Networks and Learning Systems|March 24, 2017
Logistic Localized Modeling of the Sample Space for Feature Selection and ClassificationNarges Armanfard, James P Reilly, Majid Komeili
IEEE Transactions on Cybernetics|May 24, 2017
Feature Selection for Nonstationary Data: Application to Human Recognition Using Medical BiometricsMajid Komeili, Wael Louis, Narges Armanfard, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 2, 2025
Graph Anomaly Detection in Time Series: A SurveyThi Kieu Khanh Ho, Ali Karami, Narges Armanfard
Neural Networks : the Official Journal of the International Neural Network Society|January 17, 2024
Self-supervised anomaly detection in computer vision and beyond: A survey and outlookHadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard
IEEE Journal of Biomedical and Health Informatics|October 30, 2018
A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome PredictionNarges Armanfard, Majid Komeili, James P Reilly, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks and Learning Systems|July 7, 2023
Deep Multirepresentation Learning for Data ClusteringMohammadreza Sadeghi, Narges Armanfard
IEEE Transactions on Neural Networks and Learning Systems|February 19, 2024
Deep Reinforcement Learning in Human Activity Recognition: A Survey and OutlookBahareh Nikpour, Dimitrios Sinodinos, Narges Armanfard
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 20, 2020
Multiview Feature Selection for Single-View ClassificationMajid Komeili, Narges Armanfard, Dimitrios Hatzinakos
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Development of a Smart Home-Based Package for Unobtrusive Physiological MonitoringNarges Armanfard, Majid Komeili, Alex Mihailidis
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 22, 2015
Local Feature Selection for Data ClassificationNarges Armanfard, James P Reilly, Majid Komeili
IEEE Transactions on Neural Networks and Learning Systems|March 24, 2017
Logistic Localized Modeling of the Sample Space for Feature Selection and ClassificationNarges Armanfard, James P Reilly, Majid Komeili
IEEE Transactions on Cybernetics|May 24, 2017
Feature Selection for Nonstationary Data: Application to Human Recognition Using Medical BiometricsMajid Komeili, Wael Louis, Narges Armanfard, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 2, 2025
Graph Anomaly Detection in Time Series: A SurveyThi Kieu Khanh Ho, Ali Karami, Narges Armanfard
Neural Networks : the Official Journal of the International Neural Network Society|January 17, 2024
Self-supervised anomaly detection in computer vision and beyond: A survey and outlookHadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard
IEEE Journal of Biomedical and Health Informatics|October 30, 2018
A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome PredictionNarges Armanfard, Majid Komeili, James P Reilly, et al.
Pageof 2