Sustainability Solutions: The Power of Combinatorial Optimization

Toward Symbiotic Conversational Agents Based on More Efficient Large Language Models

Towards a Domain-Aware Digital Twin Framework for Quality of Life: Multimodal Sensing and Interpretable Estimation

Tensor Networks for Quantum and Classical Machine Learning: Exploiting Expressibility and Interpretability

Modular Pre-training with End-to-End Fine-Tuning: A Hierarchical Reinforcement Learning Framework for High-Precision Industrial Pick-and-Place

Beyond Scalarized Trade-offs: A Position on Machine Unlearning as Multi-Objective Optimization

Mental Health Assessment through Human Conversations: Challenges and Possible Solutions

Mind the Gap: Ontology-Grounded Planning over Incomplete Robot Knowledge

Synthetic Image Generation to Address Data Scarcity in Cultural Heritage Conservation: Challenges and Opportunities

Towards Reliable Machine Learning and AI Modelling on Longitudinal Multimodal Data: The Role of Data Quality and Protocol Design

Machine Learning for the Combinatorial Optimization of Public Transport Systems

Thinking Outside the (Feature) Box: Towards Robust, Efficient, and Deployable Healthcare Foundation Models