Ikerkuntza eta Berrikuntza Analitikoa (IBeA)

Grupo Investigación UPV-EHU UPV EHU Facultad de Ciencia y Tecnología José Manuel Amigo josemanuel.amigo@ehu.eus Knowledge representation Automated reasoning Common sense reasoning Causal reasoning Planning and Scheduling Searching Optimization Machine learning (general) Supervised learning Weakly supervised learning/learning over singular problems Unsupervised learning Reinforced learning Multi-task learning Classification and regression trees Deep learning Logical and relational learning Probabilistic graphical models Rule learning Instance-based learning Learning from streams Times series Learning over graphs Latent representation Bio-inspired approaches Green machine learning Learning to rank Computer vision (general) Biometrics Image and video segmentation Object tracking Scene understanding Multi-agent systems Robotics and Automation Agriculture Arts and humanities Cartography Education Industry and manufacturing Life and medical sciences Physical sciences and engineering Sensing data Problem-Driven CHEMOMETRICS (spectroscopic, chromatographic, etc data analysis) Legislation Ethics & Fairness Biases Human computer interface High Performance Computing (HPC) Intelligent Industry Personalized Health Ecoinnovation Creative Basque Country 1786 Generation Aplication RIS3 Reasoning Planning Machine learning Perception: Computer vision Integration & Interaction Strategic Priorities Opportunity Territories https://www.ehu.eus/es/web/ibea/home