Tommaso Di Noia
sisinflab.poliba.it
0000-0002-0939-5462
Politecnico di Bari
5 papers found
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ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation
EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface
Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM)
Combining Biomechanical Features and Machine Learning Approaches to Identify Fencers’ Levels for Training Support
Using Ontology-Based Data Summarization to Develop Semantics-Aware Recommender Systems
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