DrAli Anaissi

Agentic Retrieval-Augmented Time-Series Forecasting with LLM-Controlled State-Space Backbones for Financial Index/Equity Prediction

Calibration-Oriented Label Aggregation under Sparse and Correlated Crowdsourced Annotations

Collaborative Classification for Rare Diseases Across Distributed Healthcare Institutes

Decentralized Trust in Crowdsourced Drone Services

Deep Learning-based Vision Processing with Event Camera

Deep Learning-based Vision Processing with Event Camera

Goal-Conditioned KV Cache Compression for Efficient Long-Horizon GUI Agents

Hybrid assessment based on user-adaptive clustering.

Indoor Autonomous Flight Using Deep Learning-Based Image Understanding Techniques

Information-Structured Representation Learning for Robust Visual Generalization

Information-Structured Representation Learning for Robust Visual Generalization

Learning with Noisy Labels Incorporating Fairness and Privacy Concerns

Memory-Efficient Momentum Optimisation via Backward Momentum Reconstruction

Multi-omics data integration for disease diagnosis using deep learning

Noise-Aware and Trustworthy Domain Adaptation for Medical Imaging

Research on Several Problems of Quantum Machine Learning

Routing in Gradient Space: Conflict-Reduced Expert Specialization for Multi-Task Learning

Self-Evolving Agents in Distributed Networks: Belief–Memory Architectures and the Local–Global Information Tradeoff