activity
20242026
collaborators

7 papers

cs.CV2026

Auditing Medical Vision-Language Models on Chest Radiographs: Estimating Reference Agreement Across Institutions

Pengyang Yu, Yiou Wang, Zhongping Dong +3

Vision-language models return structured chest-radiograph findings through interfaces exposing no confidence score, so a receiving institution cannot read off how far to trust an i…

cs.LG2026

IMOVNO+: A Regional Partitioning and Meta-Heuristic Ensemble Framework for Imbalanced Multi-Class Learning

Soufiane Bacha, Laouni Djafri, Sahraoui Dhelim +1

Class imbalance, overlap, and noise degrade data quality, reduce model reliability, and limit generalization. Although widely studied in binary classification, these issues remain…

cs.CV2025

MedLiteNet: Lightweight Hybrid Medical Image Segmentation Model

Pengyang Yu, Haoquan Wang, Gerard Marks +4

Accurate skin-lesion segmentation remains a key technical challenge for computer-aided diagnosis of skin cancer. Convolutional neural networks, while effective, are constrained by…

cs.NI2025

AGI Enabled Solutions For IoX Layers Bottlenecks In Cyber-Physical-Social-Thinking Space

Amar Khelloufi, Huansheng Ning, Sahraoui Dhelim +1

The integration of the Internet of Everything (IoX) and Artificial General Intelligence (AGI) has given rise to a transformative paradigm aimed at addressing critical bottlenecks a…

cs.LG2025

A Novel Double Pruning method for Imbalanced Data using Information Entropy and Roulette Wheel Selection for Breast Cancer Diagnosis

Soufiane Bacha, Huansheng Ning, Belarbi Mostefa +2

Accurate illness diagnosis is vital for effective treatment and patient safety. Machine learning models are widely used for cancer diagnosis based on historical medical data. Howev…

cs.CY2024

Machine Learning for Dynamic Management Zone in Smart Farming

Chamil Kulatunga, Sahraoui Dhelim, Tahar Kechadi

Digital agriculture is growing in popularity among professionals and brings together new opportunities along with pervasive use of modern data-driven technologies. Digital agricult…