11 papers
Real-Time Design of Public Transport Lines: Reconciling Adaptivity and Efficiency
Duo Wang, Andrea Araldo, Mounim El-Yacoubi
Demand-responsive transport (DRT) is typically routed by solving Dynamic Vehicle Routing Problems (DVRPs), where individual vehicle trajectories are adjusted on incoming requests.…
Predict-then-Optimize Framework for Public Transport Line Redesign under Fluctuating Traffic Conditions
Zihao Guo, Andrea Araldo, Faycal Touzout +1
Public Transport (PT) lines are traditionally designed to optimize performance under nominal traffic conditions. In practice, operating conditions frequently deviate from nominal o…
Physiological Prior-Driven Label Enhancement for Cross-Subject EEG Emotion Recognition
Hongyu Zhu, Lin Chen, Yuming Fu +2
Electroencephalography (EEG)-based emotion recognition captures affective neural signals with high temporal precision, but cross-subject variability and label noise remain critical…
MS-Mix: Sentiment-Guided Adaptive Augmentation for Multimodal Sentiment Analysis
Hongyu Zhu, Lin Chen, Xin Jin +1
Multimodal Sentiment Analysis (MSA) integrates complementary features from text, video, and audio for robust emotion understanding in human interactions. However, models suffer fro…
Online design of dynamic networks
Duo Wang, Andrea Araldo, Mounim El Yacoubi
Designing a network (e.g., a telecommunication or transport network) is mainly done offline, in a planning phase, prior to the operation of the network. On the other hand, a massiv…
Frame Sampling Strategies Matter: A Benchmark for small vision language models
Marija Brkic, Anas Filali Razzouki, Yannis Tevissen +2
Comparing vision language models on videos is particularly complex, as the performances is jointly determined by the model's visual representation capacity and the frame-sampling s…