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Moloud Abdar

Showing results (11-20 of 21) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|July 18, 2022
A Review of Generalized Zero-Shot Learning MethodsFarhad Pourpanah, Moloud Abdar, Yuxuan Luo, et al.
Computers in Biology and Medicine|July 10, 2019
Machine learning-based coronary artery disease diagnosis: A comprehensive reviewRoohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, et al.
Sensors (Basel, Switzerland)|May 31, 2020
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram SignalsCatalin Stoean, Ruxandra Stoean, Miguel Atencia, et al.
Plos One|December 1, 2022
Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithmsNail Chabane, Achraf Bouaoune, Reda Tighilt, et al.
The Australian and New Zealand Journal of Psychiatry|March 17, 2025
It is time to reassess reporting of electroconvulsive therapy data in New Zealand: A 17-year retrospective analysis of treatment data from WaikatoRobert M Lundin, Savani Kannangara, Matthew Jenkins, et al.
An International Journal on Information Fusion|October 11, 2022
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detectionMoloud Abdar, Soorena Salari, Sina Qahremani, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
A Review of Deep Learning for Video CaptioningMoloud Abdar, Meenakshi Kollati, Swaraja Kuraparthi, et al.
Computers in Biology and Medicine|May 30, 2021
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learningMoloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, et al.
The Journal of ECT|June 10, 2024
Machine Learning in Electroconvulsive Therapy: A Systematic ReviewRobert M Lundin, Veronica Podence Falcao, Savani Kannangara, et al.
Annals of Operations Research|March 29, 2021
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020)Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 18, 2022
A Review of Generalized Zero-Shot Learning MethodsFarhad Pourpanah, Moloud Abdar, Yuxuan Luo, et al.
Computers in Biology and Medicine|July 10, 2019
Machine learning-based coronary artery disease diagnosis: A comprehensive reviewRoohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, et al.
Sensors (Basel, Switzerland)|May 31, 2020
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram SignalsCatalin Stoean, Ruxandra Stoean, Miguel Atencia, et al.
Plos One|December 1, 2022
Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithmsNail Chabane, Achraf Bouaoune, Reda Tighilt, et al.
The Australian and New Zealand Journal of Psychiatry|March 17, 2025
It is time to reassess reporting of electroconvulsive therapy data in New Zealand: A 17-year retrospective analysis of treatment data from WaikatoRobert M Lundin, Savani Kannangara, Matthew Jenkins, et al.
An International Journal on Information Fusion|October 11, 2022
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detectionMoloud Abdar, Soorena Salari, Sina Qahremani, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
A Review of Deep Learning for Video CaptioningMoloud Abdar, Meenakshi Kollati, Swaraja Kuraparthi, et al.
Computers in Biology and Medicine|May 30, 2021
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learningMoloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, et al.
The Journal of ECT|June 10, 2024
Machine Learning in Electroconvulsive Therapy: A Systematic ReviewRobert M Lundin, Veronica Podence Falcao, Savani Kannangara, et al.
Annals of Operations Research|March 29, 2021
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020)Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, et al.
Pageof 3