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Paolo Sorino
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2020 – today
- 2024
- [j2]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) - [c12]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 - [c11]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 - [c10]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
- [c9]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 - [c8]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 - [c7]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 - [c6]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 - [c5]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
- [j1]Rossella Tatoli, Luisa Lampignano, Ilaria Bortone, Rossella Donghia, Fabio Castellana, Roberta Zupo, Sarah Tirelli, Sara De Nucci, Annamaria Sila, Annalidia Natuzzi, Madia Lozupone, Chiara Griseta, Sabrina Sciarra, Simona Aresta, Giovanni De Pergola, Paolo Sorino, Domenico Lofù, Francesco Panza, Tommaso Di Noia, Rodolfo Sardone:
Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach. Sensors 22(6): 2193 (2022) - [c4]Domenico Lofù, Pietro Di Gennaro, Paolo Sorino, Tommaso Di Noia, Eugenio Di Sciascio:
CPU-side comparison for Key Agreement between Tree Parity Machines and standard Cryptographic Primitives. DESSERT 2022: 1-6 - [c3]Paolo Sorino:
Blockchain and AI to Build an Alzheimer's Risk Calculator. ICWE 2022: 432-436 - [c2]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 - [c1]Fabio Castellana, Simona Aresta, Paolo Sorino, Ilaria Bortone, Domenico Lofù, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio, Rodolfo Sardone:
An Artificial Neural Network Model to Assess Nutritional Factors Associated with Frailty in the Aging Population from Southern Italy. SMC 2022: 3228-3233
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last updated on 2024-10-07 21:20 CEST by the dblp team
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