40 citations · 79 across the 7 of their papers we have counts for
10 papers
Neuro-Symbolic Graph Transformers for Hierarchical Intention Recognition from Multimodal Human Activity Sequences
Farnaz Soleimani, Abdelghani Chibani, Yacine Amirat +1
Proactive human-robot collaboration requires autonomous systems to infer not only immediate actions but also the underlying hierarchical intentions governing human behavior. Curren…
Leakage-Controlled Multimodal Learning for Diagnosis and Progression Prediction in Alzheimer's Disease Research
Akeem Temitope Otapo, Ghazaleh Khodabandelou, Zuheng Ming +1
Alzheimer's disease prediction involves irregular visits, heterogeneous measurements and incomplete modalities. This study presents a multimodal multitask framework combining an ad…
Neuro-Symbolic Hierarchical Intention Anticipation in Human Behavior
Farnaz Soleimani, Abdelghani Chibani, Yacine Amirat +1
Assistive autonomous systems must anticipate human goals before an observed behavior is complete. This article formulates anticipation as goal inference from a partially observed m…
Compositional Benchmark Synthesis for Hierarchical Human Action Recognition
Farnaz Soleimani, Abdelghani Chibani, Yacine Amirat +1
Recognizing human behavior across levels of abstraction, from atomic actions to long-horizon intentions, requires data annotated along a semantic hierarchy. Large corpora provide i…
Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review
Akeem Temitope Otapo, Alice Othmani, Ghazaleh Khodabandelou +1
The integration of Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) in healthcare, through Machine Learning (ML) and Deep Learning (DL) techniques, has advanc…
A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews
Mamadou Dia, Ghazaleh Khodabandelou, Alice Othmani
Post-traumatic stress disorder (PTSD) is a mental disorder that can be developed after witnessing or experiencing extremely traumatic events. PTSD can affect anyone, regardless of…
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition
Elnaz Soleimani, Ghazaleh Khodabandelou, Abdelghani Chibani +1
The performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated trainin…
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification
Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal +2
With surge of available but unlabeled data, Positive Unlabeled (PU) learning is becoming a thriving challenge. This work deals with this demanding task for which recent GAN-based P…
Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata
Ghazaleh Khodabandelou, Vincent Gauthier, Marco Fiore +1
Communication-enabled devices routinely carried by individuals have become pervasive, opening unprecedented opportunities for collecting digital metadata about the mobility of larg…
Population estimation from mobile network traffic metadata
Ghazaleh Khodabandelou, Vincent Gauthier, Mounim A. El-Yacoubi +1
Smartphones and other mobile devices are today pervasive across the globe. As an interesting side effect of the surge in mobile communications, mobile network operators can now eas…