Paolo Sorino
sisinflab.poliba.it
0000-0002-9081-2648
Politecnico di Bari Dipartimento di Ingegneria Elettrica e dell'Informazione
30 papers found
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ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation
EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface
Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM)
NeuralPMG: A Neural Polyphonic Music Generation System Based on Machine Learning Algorithms
A Pareto-Optimality-Based Approach for Selecting the Best Machine Learning Models in Mild Cognitive Impairment Prediction
Combining Mental States Recognition and Machine Learning for Neurorehabilitation
Exploring the Mental State Intersection by Brain-Computer Interfaces, Cellular Automata and Biofeedback
Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction: Results from iDPP@CLEF 2023
Predicting Human Emotions using EEG-based Brain computer Interface and Interpretable Machine Learning
Method for Validating the Diagnosis of Nonalcoholic Fatty Liver Disease, (Nafld), on Patients Undergoing Treatment Without Imaging Technologies, Using a Machine Learning Algorithm.
CPU-side comparison for Key Agreement between Tree Parity Machines and standard Cryptographic Primitives
Combining Biomechanical Features and Machine Learning Approaches to Identify Fencers’ Levels for Training Support
FDF-DB: A Database of Traditional Fermented Dairy Foods and Their Associated Microbiota
An Artificial Neural Network Model to Assess Nutritional Factors Associated with Frailty in the Aging Population from Southern Italy
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition
The Effect of Low Glycemic Index Mediterranean Diet and Combined Exercise Program on Metabolic-Associated Fatty Liver Disease: A Joint Modeling Approach
A Low Glycemic Index Mediterranean Diet Combined with Aerobic Physical Activity Rearranges the Gut Microbiota Signature in NAFLD Patients
Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach
Blockchain and AI to Build an Alzheimer’s Risk Calculator
Modified 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 Italy
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