Machine learning and artificial intelligence for temporal data analysis, especially:
- multiview learning;
- structured prediction;
- representation learning and data decomposition methods;
with applications to:
- machine listening and music content analysis (MIR);
- multimodal perception: human behaviour analysis and affective computing, including EEG data analysis;
- multimedia content analysis, especially joint audiovisual data analysis.
For more information about my research activities check the publications, research software, demos, or educational material I have contributed to. You can also read about the research projects I have been involved in, including the PhD students and post-docs I have advised.