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ORCIDTommaso Colafiglio
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2020 – today
- 2024
[j1]Tommaso Colafiglio, Carmelo Ardito, Paolo Sorino
, Domenico Lofù, Fabrizio Festa, Tommaso Di Noia, Eugenio Di Sciascio:
NeuralPMG: A Neural Polyphonic Music Generation System Based on Machine Learning Algorithms. Cogn. Comput. 16(5): 2779-2802 (2024)- [c11]Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Angela Lombardi, Fedelucio Narducci, Fabrizio Festa, Tommaso Di Noia:
EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface. UMAP (Adjunct Publication) 2024 - [c10]Tommaso Colafiglio, Tommaso Di Noia, Domenico Lofù, Angela Lombardi, Fedelucio Narducci, Paolo Sorino:
Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM). UMAP (Adjunct Publication) 2024 - [c9]Paolo Sorino, Giovanni Maria Biancofiore, Domenico Lofù, Tommaso Colafiglio, Angela Lombardi, Fedelucio Narducci, Tommaso Di Noia:
ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation. UMAP (Adjunct Publication) 2024 - 2023
- [c8]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:
Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction: Results from iDPP@CLEF 2023. CLEF (Working Notes) 2023: 1272-1285 - [c7]Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Fabrizio Festa, Tommaso Di Noia, Eugenio Di Sciascio:
Exploring the Mental State Intersection by Brain-Computer Interfaces, Cellular Automata and Biofeedback. EUROCON 2023: 461-466 - [c6]Tommaso Colafiglio, Paolo Sorino, Angela Lombardi, Domenico Lofù, Tommaso Di Noia:
Predicting Human Emotions using EEG-based Brain computer Interface and Interpretable Machine Learning. Ital-IA 2023: 200-205 - [c5]Paolo Sorino, Vincenzo Paparella, Domenico Lofù, Tommaso Colafiglio, Eugenio Di Sciascio, Fedelucio Narducci, Rodolfo Sardone, Tommaso Di Noia:
A Pareto-Optimality-Based Approach for Selecting the Best Machine Learning Models in Mild Cognitive Impairment Prediction. SMC 2023: 3822-3827 - [c4]Tommaso Colafiglio, Paolo Sorino, Domenico Lofù, Angela Lombardi, Fedelucio Narducci, Tommaso Di Noia:
Combining Mental States Recognition and Machine Learning for Neurorehabilitation. SMC 2023: 3848-3853 - [i1]Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, Caterina Bonfiglio, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio:
MAFUS: a Framework to predict mortality risk in MAFLD subjects. CoRR abs/2301.06908 (2023) - 2022
- [c3]Carmelo Ardito, Ilaria Bortone, Tommaso Colafiglio, Tommaso Di Noia, Eugenio Di Sciascio, Domenico Lofù, Fedelucio Narducci, Rodolfo Sardone, Paolo Sorino:
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition. SMC 2022: 2689-2694 - 2021
- [c2]Carmelo Ardito, Tommaso Colafiglio, Tommaso Di Noia, Eugenio Di Sciascio:
A Biofeedback System to Compose Your Own Music While Dancing. INTERACT (5) 2021: 309-312 - [c1]Carmelo Ardito, Tommaso Colafiglio, Tommaso Di Noia, Eugenio Di Sciascio:
Brain Computer Interface, Visual Tracker and Artificial Intelligence for a Music Polyphony Generation System. INTERACT (5) 2021: 368-371
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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