Tommaso Colafiglio

According to our database, Tommaso Colafiglio authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

NeuralPMG: A Neural Polyphonic Music Generation System Based on Machine Learning Algorithms.

Tommaso Colafiglio, Carmelo Ardito, Paolo Sorino, Domenico Lofù, Fabrizio Festa, Tommaso Di Noia, Eugenio Di Sciascio

Cogn. Comput., September, 2024

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

Tommaso Colafiglio, Angela Lombardi, Paolo Sorino, Elvira Brattico, Domenico Lofù, Danilo Danese, Eugenio Di Sciascio, Tommaso Di Noia, Fedelucio Narducci

IEEE Access, 2024

ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation.

Paolo Sorino, Giovanni Maria Biancofiore, Domenico Lofù, Tommaso Colafiglio, Angela Lombardi, Fedelucio Narducci, Tommaso Di Noia

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM).

Tommaso Colafiglio, Tommaso Di Noia, Domenico Lofù, Angela Lombardi, Fedelucio Narducci, Paolo Sorino

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.

Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Angela Lombardi, Fedelucio Narducci, Fabrizio Festa, Tommaso Di Noia

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

2023

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

Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, Caterina Bonfiglio, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio

CoRR, 2023

A Pareto-Optimality-Based Approach for Selecting the Best Machine Learning Models in Mild Cognitive Impairment Prediction.

Paolo Sorino, Vincenzo Paparella, Domenico Lofù, Tommaso Colafiglio, Eugenio Di Sciascio, Fedelucio Narducci, Rodolfo Sardone, Tommaso Di Noia

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Combining Mental States Recognition and Machine Learning for Neurorehabilitation.

Tommaso Colafiglio, Paolo Sorino, Domenico Lofù, Angela Lombardi, Fedelucio Narducci, Tommaso Di Noia

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.

Tommaso Colafiglio, Paolo Sorino, Angela Lombardi, Domenico Lofù, Tommaso Di Noia

Proceedings of the Italia Intelligenza Artificiale, 2023

Exploring the Mental State Intersection by Brain-Computer Interfaces, Cellular Automata and Biofeedback.

Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Fabrizio Festa, Tommaso Di Noia, Eugenio Di Sciascio

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.

Angela Lombardi, Maria Luigia Natalia De Bonis, Giuseppe Fasano, Alessia Sportelli, Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia

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.

Carmelo Ardito, Ilaria Bortone, Tommaso Colafiglio, Tommaso Di Noia, Eugenio Di Sciascio, Domenico Lofù, Fedelucio Narducci, Rodolfo Sardone, Paolo Sorino

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.

Carmelo Ardito, Tommaso Colafiglio, Tommaso Di Noia, Eugenio Di Sciascio

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.

Carmelo Ardito, Tommaso Colafiglio, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30, 2021