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Ferdous Sohel

Showing results (11-20 of 23) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|March 13, 2024
Auxiliary Tasks Enhanced Dual-Affinity Learning for Weakly Supervised Semantic SegmentationLian Xu, Mohammed Bennamoun, Farid Boussaid, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 5, 2019
Learning Latent Global Network for Skeleton-based Action PredictionQiuhong Ke, Mohammed Bennamoun, Hossein Rahmani, et al.
ESC Heart Failure|February 28, 2019
Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metricsSaqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, et al.
Plos One|June 27, 2019
Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or deathSaqib E Awan, Mohammed Bennamoun, Ferdous Sohel, et al.
Journal of Optometry|November 17, 2022
MSGANet-RAV: A multiscale guided attention network for artery-vein segmentation and classification from optic disc and retinal imagesA Z M Ehtesham Chowdhury, Graham Mann, William Huxley Morgan, et al.
Chempluschem|August 29, 2025
Machine Learning-Guided Design of Biomass-Based Porous Carbon for Aqueous Symmetric SupercapacitorsManickam Minakshi, Apsana Sharma, Ferdous Sohel, et al.
Scientific Reports|September 16, 2021
Machine learning risk prediction model for acute coronary syndrome and death from use of non-steroidal anti-inflammatory drugs in administrative dataJuan Lu, Ling Wang, Mohammed Bennamoun, et al.
Scientific Reports|July 9, 2025
Hybrid deep learning framework for real-time DO prediction in aquacultureLongqin Xu, Wenjun Liu, Cai Chengqing, et al.
Sensors (Basel, Switzerland)|January 17, 2020
Automatic Hierarchical Classification of Kelps Using Deep Residual FeaturesAmmar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun, et al.
Computers in Biology and Medicine|October 7, 2022
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillationJuan Lu, Rebecca Hutchens, Joseph Hung, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Neural Networks and Learning Systems|March 13, 2024
Auxiliary Tasks Enhanced Dual-Affinity Learning for Weakly Supervised Semantic SegmentationLian Xu, Mohammed Bennamoun, Farid Boussaid, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 5, 2019
Learning Latent Global Network for Skeleton-based Action PredictionQiuhong Ke, Mohammed Bennamoun, Hossein Rahmani, et al.
ESC Heart Failure|February 28, 2019
Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metricsSaqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, et al.
Plos One|June 27, 2019
Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or deathSaqib E Awan, Mohammed Bennamoun, Ferdous Sohel, et al.
Journal of Optometry|November 17, 2022
MSGANet-RAV: A multiscale guided attention network for artery-vein segmentation and classification from optic disc and retinal imagesA Z M Ehtesham Chowdhury, Graham Mann, William Huxley Morgan, et al.
Chempluschem|August 29, 2025
Machine Learning-Guided Design of Biomass-Based Porous Carbon for Aqueous Symmetric SupercapacitorsManickam Minakshi, Apsana Sharma, Ferdous Sohel, et al.
Scientific Reports|September 16, 2021
Machine learning risk prediction model for acute coronary syndrome and death from use of non-steroidal anti-inflammatory drugs in administrative dataJuan Lu, Ling Wang, Mohammed Bennamoun, et al.
Scientific Reports|July 9, 2025
Hybrid deep learning framework for real-time DO prediction in aquacultureLongqin Xu, Wenjun Liu, Cai Chengqing, et al.
Sensors (Basel, Switzerland)|January 17, 2020
Automatic Hierarchical Classification of Kelps Using Deep Residual FeaturesAmmar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun, et al.
Computers in Biology and Medicine|October 7, 2022
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillationJuan Lu, Rebecca Hutchens, Joseph Hung, et al.
Pageof 3