Domenico Lofù
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View article: Neural Musical Instruments through Brain-Computer Interface and Biofeedback
Neural Musical Instruments through Brain-Computer Interface and Biofeedback Open
View article: WeBIUM 2025: 2nd Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling
WeBIUM 2025: 2nd Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling Open
View article: Detecting label noise in longitudinal Alzheimer’s data with explainable artificial intelligence
Detecting label noise in longitudinal Alzheimer’s data with explainable artificial intelligence Open
View article: MORIX: Machine learning-aided framework for lethality detection and MORtality inference with eXplainable artificial intelligence in MAFLD subjects
MORIX: Machine learning-aided framework for lethality detection and MORtality inference with eXplainable artificial intelligence in MAFLD subjects Open
Metabolic dysfunction-associated fatty liver disease (MAFLD) introduces new diagnostic criteria for fatty liver disease that are independent of alcohol consumption and viral hepatitis infection. Therefore, investigating how biochemical and…
View article: EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface
EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface Open
In electroacoustic music composition, particularly in sound synthesis techniques, Deep Learning (DL) provides very effective solutions. However, these architectures generally have a high level of automation and use textual language for hum…
View article: ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation
ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation Open
In an era characterized by unprecedented virtual connectivity, paradoxically, individuals often find themselves disconnected from genuine human interactions. The advent of remote working arrangements, compounded by the influence of digital…
View article: NeuralPMG: A Neural Polyphonic Music Generation System Based on Machine Learning Algorithms
NeuralPMG: A Neural Polyphonic Music Generation System Based on Machine Learning Algorithms Open
The realm of music composition, augmented by technological advancements such as computers and related equipment, has undergone significant evolution since the 1970s. In the field algorithmic composition, however, the incorporation of artif…
View article: NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration
NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration Open
Emotion recognition is crucial in affective computing, aiming to bridge the gap between human emotional states and computer understanding. This study presents NeuroSense, a novel electroencephalography (EEG) dataset utilizing low-cost, spa…
View article: Exploring the Mental State Intersection by Brain-Computer Interfaces, Cellular Automata and Biofeedback
Exploring the Mental State Intersection by Brain-Computer Interfaces, Cellular Automata and Biofeedback Open
Brain-Computer Interfaces (BCI) allows systems to be controlled by signals derived from Electroencephalogram (EEG) analysis. Several low-cost electroencephalographs are available on the market that provides high-quality EEG signals. A very…
View article: Author Index
Author Index Open
View article: Correction to: Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study
Correction to: Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study Open
View article: Corrigendum: Dietary customs and social deprivation in an aging population from Southern Italy: A machine learning approach
Corrigendum: Dietary customs and social deprivation in an aging population from Southern Italy: A machine learning approach Open
[This corrects the article DOI: 10.3389/fnut.2022.811076.].
View article: MAFUS: a Framework to predict mortality risk in MAFLD subjects
MAFUS: a Framework to predict mortality risk in MAFLD subjects Open
Metabolic (dysfunction) associated fatty liver disease (MAFLD) establishes new criteria for diagnosing fatty liver disease independent of alcohol consumption and concurrent viral hepatitis infection. However, the long-term outcome of MAFLD…
View article: URANUS: Radio Frequency Tracking, Classification and Identification of Unmanned Aircraft Vehicles
URANUS: Radio Frequency Tracking, Classification and Identification of Unmanned Aircraft Vehicles Open
Safety and security issues for Critical Infrastructures are growing as attackers adopt drones as an attack vector flying in sensitive airspaces, such as airports, military bases, city centers, and crowded places. Despite the use of UAVs fo…
View article: Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study
Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study Open
View article: Combining Biomechanical Features and Machine Learning Approaches to Identify Fencers’ Levels for Training Support
Combining Biomechanical Features and Machine Learning Approaches to Identify Fencers’ Levels for Training Support Open
Nowadays, modern technology is widespread in sports; therefore, finding an excellent approach to extracting knowledge from data is necessary. Machine Learning (ML) algorithms can be beneficial in biomechanical data management because they …
View article: Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition Open
Brain-Computer Interfaces allow controlling machines through signals coming from Electroencephalography (EEG) analysis. Nowadays, there are several cheap electroencephalographs available on the market that guarantee good quality EEG signal…
View article: Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach
Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach Open
Dietary behaviour is a core element in diabetes self-management. There are no remarkable differences between nutritional guidelines for people with type 2 diabetes and healthy eating recommendations for the general public. This study aimed…
View article: Dietary Customs and Social Deprivation in an Aging Population From Southern Italy: A Machine Learning Approach
Dietary Customs and Social Deprivation in an Aging Population From Southern Italy: A Machine Learning Approach Open
Background Diet and social determinants influence the state of human health. In older adults, the presence of social, physical and psychological barriers increases the probability of deprivation. This study investigated the relationship be…
View article: Water quality prediction on a Sigfox-compliant IoT device: The road ahead of WaterS
Water quality prediction on a Sigfox-compliant IoT device: The road ahead of WaterS Open
View article: Towards a Healthcare Cybersecurity Certification Scheme
Towards a Healthcare Cybersecurity Certification Scheme Open
The EU Cybersecurity Act introduces cybersecurity certification framework for ICT products, services and processes. Following ENISA’s EUCC (the Common Criteria based European candidate cybersecurity certification scheme), we provide the Se…
View article: An Ensemble Learning Approach Based on Diffusion Tensor Imaging Measures for Alzheimer’s Disease Classification
An Ensemble Learning Approach Based on Diffusion Tensor Imaging Measures for Alzheimer’s Disease Classification Open
Recent advances in neuroimaging techniques, such as diffusion tensor imaging (DTI), represent a crucial resource for structural brain analysis and allow the identification of alterations related to severe neurodegenerative disorders, such …
View article: User Feedback to Improve the Performance of a Cyberattack Detection Artificial Intelligence System in the e-Health Domain
User Feedback to Improve the Performance of a Cyberattack Detection Artificial Intelligence System in the e-Health Domain Open
View article: Water Quality Prediction on a Sigfox-compliant IoT Device: The Road Ahead of WaterS
Water Quality Prediction on a Sigfox-compliant IoT Device: The Road Ahead of WaterS Open
Water pollution is a critical issue that can affects humans' health and the entire ecosystem thus inducing economical and social concerns. In this paper, we focus on an Internet of Things water quality prediction system, namely WaterS, tha…
View article: EAIS 2020 Table of Contents
EAIS 2020 Table of Contents Open
An intelligent hybrid model for
View article: Towards a Trustworthy Patient Home-Care Thanks to an Edge-Node Infrastructure
Towards a Trustworthy Patient Home-Care Thanks to an Edge-Node Infrastructure Open