Human-centred annotated textual content, physiological signals collected in everyday life:

• machine learning, incl. deep deep learning,
• natural language processing; especially for subjective problems like
  • hate speech, emotions, sense of humor and human-centred approach to the task
  • personalization, different social perspectives,
• active learning / reinforcement learning
  • annotated data collection for NLP, multi-task problems, contextual data
• affective computing - emotion recognition from physiological signals,
  • data collection in everyday life
• prediction of glucose level (especially hypoglycemia state) from wearables,
  • data collection from diabetics
• social network analysis

Home page: https://kazienko.eu/