Complete bibliography
Publications,
with direct access.
47Scientific publications
22Journal articles
25Conference & workshop papers
2019—2026Publication period
Journal articles
22 records012026AMIUgraph: analysis and modeling of interactions for utility-driven benchmarking of graph-based models in healthcareBMC Medical Informatics and Decision MakingDOI10.1186/s12911-026-03717-5↗022026A Reproducibility-Oriented Survival Analysis Framework with Integrated Interpretability and Role-Based Graphical InteractionIEEE AccessDOI10.1109/ACCESS.2026.3731426↗032025Detecting label noise in longitudinal Alzheimer’s data with explainable artificial intelligenceBrain Informatics, 12(1), 15DOI10.1186/s40708-025-00261-2↗042025MORIX: Machine learning-aided framework for lethality detection and MORtality inference with eXplainable artificial intelligence in MAFLD subjectsComputer Methods and Programs in Biomedicine Update, 100176DOI10.1016/j.cmpbup.2024.100176↗052024NeuralPMG: A Neural Polyphonic Music Generation System Based on Machine Learning AlgorithmsCognitive Computation, 16, 2779–2802DOI10.1007/s12559-024-10280-6↗062024NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion ExplorationIEEE Access, 12, 159296–159315DOI10.1109/ACCESS.2024.3487932↗072022Combining biomechanical features and machine learning approaches to identify fencers’ levels for training supportApplied Sciences, 12(23), 12350DOI10.3390/app122312350↗082022A low glycemic index Mediterranean diet combined with aerobic physical activity rearranges the gut microbiota signature in NAFLD patientsNutrients, 14(9), 1773DOI10.3390/nu14091773↗092022The Effect of Low Glycemic Index Mediterranean Diet and Combined Exercise Program on Metabolic-Associated Fatty Liver Disease: A Joint Modeling ApproachJournal of Clinical Medicine, 11(15), 4339DOI10.3390/jcm11154339↗102022Effects of weight change on all causes, digestive system and other causes mortality in Southern Italy: a competing risk approachInternational Journal of Obesity, 46(1), 113–120DOI10.1038/s41366-021-00954-8↗112022Dietary patterns associated with diabetes in an older population from Southern Italy using an unsupervised learning approachSensors, 22(6), 2193DOI10.3390/s22062193↗122022FDF-DB: A Database of Traditional Fermented Dairy Foods and Their Associated MicrobiotaNutrients, 14(21), 4581DOI10.3390/nu14214581↗132021Physical Activity Reduction and the Worsening of Gastrointestinal Health Status during the Second COVID-19 Home Confinement in Southern ItalyInternational Journal of Environmental Research and Public Health, 18(18), 9554DOI10.3390/ijerph18189554↗142021The effect of the Mediterranean Diet on lifespan: a treatment-effect survival analysis of a population-based prospective cohort study in Southern ItalyInternational Journal of Epidemiology, 50(1), 245–255DOI10.1093/ije/dyaa222↗152021Decreased levels of physical activity: results from a cross-sectional study in southern Italy during the COVID-19 lockdownThe Journal of Sports Medicine and Physical Fitness, 61(2), 294–300DOI10.23736/S0022-4707.20.11536-6↗162021Physical activity and low glycemic index Mediterranean diet: Main and modification effects on NAFLD score. Results from a randomized clinical trialNutrients, 13(1), 66DOI10.3390/nu13010066↗172021Modified WCRF/AICR score and all-cause, digestive system, cardiovascular, cancer and other-cause-related mortality: a competing risk analysis of two cohort studies conducted in Southern ItalyNutrients, 13(11), 4002DOI10.3390/nu13114002↗182021Development and validation of a neural network for NAFLD diagnosisScientific Reports, 11(1), 20240DOI10.1038/s41598-021-99400-y↗192020Remnant cholesterol as a risk factor for cardiovascular, cancer or other causes mortality: a competing risks analysisNutrition, Metabolism and Cardiovascular Diseases, 30(11), 2093–2102DOI10.1016/j.numecd.2020.07.002↗202020The effect of three Mediterranean diets on remnant cholesterol and non-alcoholic fatty liver disease: a secondary analysisNutrients, 12(6), 1674DOI10.3390/nu12061674↗212020Selecting the best machine learning algorithm to support the diagnosis of Non-Alcoholic Fatty Liver Disease: A meta learner studyPLOS ONE, 15(10), e0240867DOI10.1371/journal.pone.0240867↗222019Effects of some food components on non-alcoholic fatty liver disease severity: results from a cross-sectional studyNutrients, 11(11), 2744DOI10.3390/nu11112744↗
Conference & workshop publications
25 records232026Passenger experience on an automated shuttle service: a survey study on a real test ride in ItalyTransportation Research Procedia, 95, 808–815DOI10.1016/j.trpro.2026.02.102↗242026Energy-Efficient Federated Learning for Space Observation via Neuromorphic Computing: A Use Case2026 IEEE Conference on Artificial Intelligence (CAI), 396–402DOI10.1109/CAI68641.2026.11536327↗252026MMFCyberDetector: A Multimodal Skeleton-Based Framework for Cyberbullying Action Detection2026 IEEE International Conference on Human-Machine Systems (ICHMS), 588–593DOI10.1109/ICHMS69701.2026.11602148↗262026EEGScope: A Framework for the Real Time Acquisition, Processing, Sonification and Analysis of EEG DataBrain Informatics (BI 2025), Lecture Notes in Computer Science, vol. 16347, Springer, 188–204DOI10.1007/978-981-95-9575-4_15↗272025WeBIUM 2025: 2nd Workshop on Wearable Devices and Brain-Computer Interfaces for User ModellingACM UMAP 2025 Adjunct, 467–470DOI10.1145/3708319.3727555↗282025Neural Musical Instruments through Brain-Computer Interface and BiofeedbackACM UMAP 2025 Adjunct, 489–494DOI10.1145/3708319.3733644↗292025Enhancing EEG-Based Limbs Movement Classification through Advanced Machine Learning Techniques for Motor ImageryIEEE ICHMS 2025, 332–337DOI10.1109/ICHMS65439.2025.11154223↗302025Assessing the Short-Term Impact of Air Pollution and Socioeconomic Factors on the Overall Mortality of Taranto: an eXplainable Machine Learning ApproachIEEE SMC 2025, 4906–4911DOI10.1109/SMC58881.2025.11343281↗312025Explainable Machine Learning for Clinical Prediction of High-Flow Nasal Cannula Therapy in Pediatric BronchiolitisIEEE SMC 2025, 4912–4917DOI10.1109/SMC58881.2025.11343071↗322024Towards a Neurofeedback Tool For Emotion Recognition Using Brain Computer InterfaceICWE 2024 Workshops, Springer, 89–98DOI10.1007/978-3-031-75110-3_8↗332024Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM)ACM UMAP 2024 Adjunct, 597–600DOI10.1145/3631700.3658529↗342024EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer InterfaceACM UMAP 2024 Adjunct, 616–621DOI10.1145/3631700.3665196↗352024Integrating eXplainable AI in Healthcare: A Web Application Framework for Advancing the One Health ParadigmICWE 2024 Workshops, Springer, 77–88DOI10.1007/978-3-031-75110-3_7↗362024Towards a Federated Intrusion Detection System based on Neuromorphic ComputingIEEE SpliTech 2024, 1–5DOI10.23919/SpliTech61897.2024.10612534↗372024ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support ConversationACM UMAP 2024 Adjunct, 601–609DOI10.1145/3631700.3665193↗382024An Explainable Machine Learning Approach for Heartbeat Classification Through Signal-Based FeaturesIEEE SMC 2024, 1–6DOI10.1109/SMC54092.2024.10831926↗392023Exploring the Mental State Intersection by Brain-Computer Interfaces, Cellular Automata and BiofeedbackIEEE EUROCON 2023, 461–466DOI10.1109/EUROCON56442.2023.10198964↗402023Combining Mental States Recognition and Machine Learning for NeurorehabilitationIEEE SMC 2023, 3848–3853DOI10.1109/SMC53992.2023.10394347↗412023Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction: Results from iDPP@CLEF 2023CLEF 2023, CEUR Workshop Proceedings, Vol. 3497, 1272–1285Official recordPublisher page↗422023A Pareto-Optimality-Based Approach for Selecting the Best Machine Learning Models in Mild Cognitive Impairment PredictionIEEE SMC 2023, 3822–3827DOI10.1109/SMC53992.2023.10394057↗432023Predicting Human Emotions using EEG-based Brain Computer Interface and Interpretable Machine LearningItal-IA 2023, CEUR Workshop Proceedings, Vol. 3486Official recordPublisher page↗442022Brain Computer Interface: Deep Learning Approach to Predict Human Emotion RecognitionIEEE SMC 2022, 2689–2694DOI10.1109/SMC53654.2022.9945554↗452022An Artificial Neural Network Model to Assess Nutritional Factors Associated with Frailty in the Aging Population from Southern ItalyIEEE SMC 2022, 3228–3233DOI10.1109/SMC53654.2022.9945542↗462022CPU-side comparison for Key Agreement between Tree Parity Machines and standard Cryptographic PrimitivesIEEE DESSERT 2022, 1–6DOI10.1109/DESSERT58054.2022.10018797↗472022Blockchain and AI to Build an Alzheimer’s Risk CalculatorICWE 2022, Springer, 432–436DOI10.1007/978-3-031-09917-5_31↗