7 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Heriot-Watt UniversityGB3 papers
- Pontificia Universidad Católica ArgentinaAR3 papers
- International Data Group (Sweden)SE2 papers
- École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique, d'Hydraulique et des TélécommunicationsFR1 paper
- Fundación para la Lucha contra las Enfermedades Neurológicas de la InfanciaAR1 paper
- Institut de Recherche en Informatique de ToulouseFR1 paper
- Institut National Polytechnique de ToulouseFR1 paper
- Université de ToulouseFR1 paper
9 papers
Explaining Unsupervised Disease Staging in Huntington's Disease: Insights into Model Representations and Clusters
Lubna Mahmoud Abu Zohair, Hind Zantout
Huntington's disease (HD) is a progressive neurodegenerative disorder that affects motor, cognitive, and behavioral functions, where accurate characterization of disease progressio…
CANSURF: An ASV-View Can Dataset and Benchmark for Detection and Tracking of Surface-Level Debris
Zaid Aljundi, Zahra F. Rahmatullah, Mostafa Elemam +1
Surface-level marine debris remains a practical bottleneck for autonomous clean-up, where small, reflective targets (e.g., aluminum cans) must be detected at distance under glare,…
Epanechnikov nonparametric kernel density estimation based feature-learning in respiratory disease chest X-ray images
Veronica Marsico, Antonio Quintero-Rincon, Hadj Batatia
This study presents a novel method for diagnosing respiratory diseases using image data. It combines Epanechnikov's non-parametric kernel density estimation (EKDE) with a bimodal l…
Hybrid Pipeline SWD Detection in Long-Term EEG Signals
Antonio Quintero Rincon, Nicolas Masino, Veronica Marsico +1
Spike-and-wave discharges (SWDs) are the electroencephalographic hallmark of absence epilepsy, yet their manual identification in multi-day recordings remains labour-intensive and…
Integrating External Tools with Large Language Models to Improve Accuracy
Nripesh Niketan, Hadj Batatia
This paper deals with improving querying large language models (LLMs). It is well-known that without relevant contextual information, LLMs can provide poor quality responses or ten…
ActDroid: An active learning framework for Android malware detection
Ali Muzaffar, Hani Ragab Hassen, Hind Zantout +1
The growing popularity of Android requires malware detection systems that can keep up with the pace of new software being released. According to a recent study, a new piece of malw…
DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection
Ali Muzaffar, Hani Ragab Hassen, Hind Zantout +1
DroidDissector is an extraction tool for both static and dynamic features. The aim is to provide Android malware researchers and analysts with an integrated tool that can extract a…
Reassessing feature-based Android malware detection in a contemporary context
Ali Muzaffar, Hani Ragab Hassen, Hind Zantout +1
We report the findings of a reimplementation of 18 foundational studies in feature-based machine learning for Android malware detection, published during the period 2013-2023. Thes…
A novel spike-and-wave automatic detection in EEG signals
Antonio Quintero-Rincón, Valeria Muro, Carlos D'Giano +2
Spike-and-wave discharge (SWD) pattern classification in electroencephalography (EEG) signals is a key problem in signal processing. It is particularly important to develop a SWD a…