Ghazaleh Khodabandelou

A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews

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 ethnicity, or...

Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata

Communication-enabled devices routinely carried by individuals have become pervasive, opening unprecedented opportunities for collecting digital metadata about the mobility of large populations....

Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification

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 PU approaches...

Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition

The performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated training data which...

Population estimation from mobile network traffic metadata

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 easily collect a...

Leakage-Controlled Multimodal Learning for Diagnosis and Progression Prediction in Alzheimer's Disease Research

Alzheimer's disease prediction involves irregular visits, heterogeneous measurements and incomplete modalities. This study presents a multimodal multitask framework combining an adapted SFCN MRI...

Supervised Intentional Process Models Discovery using Hidden Markov Models

Enhanced Alzheimer's Diagnosis with a Lightweight Transformer: A Multimodal Fusion of Sagittal MRI and Clinical Data

Multimodal Human Activity Recognition with a Large Language Model for Enhanced Human-Robot Interaction

Hyperbolic Transformers with LLMs for Multimodal Human Activity Recognition

Multimodal Multitask Neural ODEs for Continuous-Time Alzheimer's Disease Progression Forecasting

Unsupervised discovery of intentional process models from event logs

Attention-based Gated Recurrent Unit for Links Traffic Speed Forecasting

Using mobile phone data analysis for the estimation of daily urban dynamics

Stream Reasoning approach for Anticipating Human Activities in Ambient Intelligence environments

A novel approach to process mining: Intentional process models discovery

Contextual recommendations using intention mining on process traces: Doctoral consortium paper

Supervised intentional process models discovery using Hidden Markov models