V. Huynh

Robust Multi-label Classification via Preference Learning

A Spatio-Temporal Multimodal Deep Learning Framework for Taxi Demand Prediction From Multi-Source and Mixed-Type Data

Metro systems are fast and high-capacity but cannot provide door-to-door service, so their accessibility depends on first- and last-mile connections. Taxis bridge the longer and less reliable of these trips, so predicting taxi demand at metro stations is essential for allocating feeder fleets and improving accessibilit...

An analogical argumentation framework for argumentative local explainers

A local explanation method (LE) in explainable artificial intelligence (XAI) is basically a two-step procedure: first construct a naively explainable model approximating the black-box model in need of explanations; then extract an explanation from the approximate model and return it. The extracted explanation aims...