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Sensors (Basel, Switzerland)|April 12, 2025
Building a Gender-Bias-Resistant Super Corpus as a Deep Learning Baseline for Speech Emotion RecognitionBabak Abbaschian, Adel ElmaghrabySensors (Basel, Switzerland)|May 28, 2020
Integrating 3D Model Representation for an Accurate Non-Invasive Assessment of Pressure Injuries with Deep LearningSofia Zahia, Begonya Garcia-Zapirain, Adel ElmaghrabySensors (Basel, Switzerland)|February 13, 2021
Deep Learning Techniques for Speech Emotion Recognition, from Databases to ModelsBabak Joze Abbaschian, Daniel Sierra-Sosa, Adel ElmaghrabyConference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 3, 2007
Morphological concentric layer analysis for automated detection of suspicious masses in screening mammogramsNevine Eltonsy, H Erin Rickard, Georgia Tourrasi, et al.JMIR Medical Informatics|November 8, 2022
Classifying Comments on Social Media Related to Living Kidney Donation: Machine Learning Training and Validation StudyMohsen Asghari, Joshua Nielsen, Monica Gentili, et al.Sensors (Basel, Switzerland)|October 13, 2021
A Hierarchical Approach to Activity Recognition and Fall Detection Using Wavelets and Adaptive PoolingAbbas Shah Syed, Daniel Sierra-Sosa, Anup Kumar, et al.Sensors (Basel, Switzerland)|April 12, 2022
A Deep Convolutional Neural Network-XGB for Direction and Severity Aware Fall Detection and Activity RecognitionAbbas Shah Syed, Daniel Sierra-Sosa, Anup Kumar, et al.Computers in Biology and Medicine|October 9, 2017
Automated framework for accurate segmentation of pressure ulcer imagesBegonya Garcia-Zapirain, Ahmed Shalaby, Ayman El-Baz, et al.Sensors (Basel, Switzerland)|June 24, 2022
Making Cities Smarter-Optimization Problems for the IoT Enabled Smart City Development: A Mapping of Applications, Objectives, ConstraintsAbbas Shah Syed, Daniel Sierra-Sosa, Anup Kumar, et al.Computer Methods and Programs in Biomedicine|April 14, 2018
Tissue classification and segmentation of pressure injuries using convolutional neural networksSofia Zahia, Daniel Sierra-Sosa, Begonya Garcia-Zapirain, et al.Pageof 3