A Review of User Profiling Based on Social Networks
The rapid development of the internet and smartphones has enabled people to access
numerous information systems and large volumes of data. User profiling technology can …
numerous information systems and large volumes of data. User profiling technology can …
CAIINET: Neural network based on contextual attention and information interaction mechanism for depression detection
Depression is a globally widespread psychological disorder that has a serious impact on the
physical and mental health of patients. Currently, depression detection methods based on …
physical and mental health of patients. Currently, depression detection methods based on …
Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs
MM Dehshibi, T Olugbade… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
There is a growing body of studies on applying deep learning to biometrics analysis. Certain
circumstances, however, could impair the objective measures and accuracy of the proposed …
circumstances, however, could impair the objective measures and accuracy of the proposed …
L-SFAN: Lightweight Spatially-focused Attention Network for Pain Behavior Detection
J Ortigoso-Narro, F Diaz-de-Maria… - arXiv preprint arXiv …, 2024 - arxiv.org
Chronic Low Back Pain (CLBP) afflicts millions globally, significantly impacting individuals'
well-being and imposing economic burdens on healthcare systems. While artificial …
well-being and imposing economic burdens on healthcare systems. While artificial …
On the Use of Uncertainty in Classifying Aedes Albopictus Mosquitoes
G Adhane, MM Dehshibi… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
The re-emergence of mosquito-borne diseases (MBDs), which kill hundreds of thousands of
people each year, has been attributed to increased human population, migration, and …
people each year, has been attributed to increased human population, migration, and …
BEE-NET: A deep neural network to identify in-the-wild Bodily Expression of Emotions
MM Dehshibi, D Masip - arXiv preprint arXiv:2402.13955, 2024 - arxiv.org
In this study, we investigate how environmental factors, specifically the scenes and objects
involved, can affect the expression of emotions through body language. To this end, we …
involved, can affect the expression of emotions through body language. To this end, we …
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process
Knowledge distillation (KD) remains challenging due to the opaque nature of the knowledge
transfer process from a Teacher to a Student, making it difficult to address certain issues …
transfer process from a Teacher to a Student, making it difficult to address certain issues …
ADVISE: ADaptive feature relevance and VISual Explanations for convolutional neural networks
To equip convolutional neural networks (CNNs) with explainability, it is essential to interpret
how opaque models make specific decisions, understand what causes the errors, improve …
how opaque models make specific decisions, understand what causes the errors, improve …
Effectiveness of Learning Videos Using Inshot Application
Background. Optimizing video-based online media during the covid-19 pandemic for
distance learning for students in understanding learning materials to produce optimal value …
distance learning for students in understanding learning materials to produce optimal value …
Incorporating reinforcement learning for quality-aware sample selection in deep architecture training
G Adhane, MM Dehshibi… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Many samples are necessary to train a convolutional neural network (CNN) to achieve
optimum performance while maintaining generalizability. Several studies, however, have …
optimum performance while maintaining generalizability. Several studies, however, have …