The manuscript “Coping with Imbalanced Data in the Automated Detection of Reminiscence from Everyday Life Conversations of Older Adults” by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH) et al., has been accepted for publication in IEEE Access. The authors improve previous results on detection of reminiscence introducing a machine learning pipeline that comprises data augmentation with BERT (Bidirectional Encoder Representations from Transformer). Their results pave the way to interventions aiming at the improvement of the well-being of older adults.
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- Delegating to Agentic AI
- GenAI in VR
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- Neurofeedback for Relaxation
- Neuromarkers for Emotion
- EMG for Relaxation
- Human Robot Interaction
- Transformers for Emotion Recognition
- Neuromarkers for Cognitive Load
- AI for Trust
- AI for Stress Detection
- VR for Relaxation
- LLMs for SMEs
- AR for Collaboration
- Telematics for Road Safety
- Chatbots for Collaboration
- Further Research
- Publications
- About Us
- For Students