Tommaso Colafiglio

Orcid: 0000-0001-7184-310X

According to our database1, Tommaso Colafiglio authored at least 22 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
Detecting label noise in longitudinal Alzheimer's data with explainable artificial intelligence.
Brain Informatics, December, 2025

Machine learning classification of motivational states: Insights from EEG analysis of perception and imagery.
Expert Syst. Appl., 2025

WeBIUM 2025: 2nd Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling.
Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

Neural Musical Instruments through Brain-Computer Interface and Biofeedback.
Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

2024
NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration.
Dataset, October, 2024

NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration.
Dataset, October, 2024

NeuralPMG: A Neural Polyphonic Music Generation System Based on Machine Learning Algorithms.
Cogn. Comput., September, 2024

NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration.
IEEE Access, 2024

ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM).
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

An Explainable Machine Learning Approach for Heartbeat Classification Through Signal-Based Features.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Towards a Neurofeedback Tool For Emotion Recognition Using Brain Computer Interface.
Proceedings of the Current Trends in Web Engineering, 2024

2023
MAFUS: a Framework to predict mortality risk in MAFLD subjects.
CoRR, 2023

A Pareto-Optimality-Based Approach for Selecting the Best Machine Learning Models in Mild Cognitive Impairment Prediction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Combining Mental States Recognition and Machine Learning for Neurorehabilitation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Predicting Human Emotions using EEG-based Brain computer Interface and Interpretable Machine Learning.
Proceedings of the Italia Intelligenza Artificiale, 2023

Exploring the Mental State Intersection by Brain-Computer Interfaces, Cellular Automata and Biofeedback.
Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction: Results from iDPP@CLEF 2023.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
Brain Computer Interface, Visual Tracker and Artificial Intelligence for a Music Polyphony Generation System.
Proceedings of the Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30, 2021

A Biofeedback System to Compose Your Own Music While Dancing.
Proceedings of the Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30, 2021


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