Vitoantonio Bevilacqua

发表

An undercomplete autoencoder to extract muscle synergies for motor intention detection

Antonio Frisoli, Vitoantonio Bevilacqua, Michele Barsotti, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

A new tool to support diagnosis of neurological disorders by means of facial expressions

Vitoantonio Bevilacqua, Dario D'Ambruoso, Giovanni Mandolino, 2011, 2011 IEEE International Symposium on Medical Measurements and Applications.

A Novel Approach in Combination of 3D Gait Analysis Data for Aiding Clinical Decision-Making in Patients with Parkinson's Disease

Antonio Frisoli, Ilaria Bortone, Alberto Argentiero, 2017, ICIC.

An interaction torque control improving human force estimation of the rehab-exos exoskeleton

Antonio Frisoli, Vitoantonio Bevilacqua, Massimiliano Solazzi, 2014, 2014 IEEE Haptics Symposium (HAPTICS).

Atlas-Based Segmentation of Organs at Risk in Radiotherapy in Head MRIs by Means of a Novel Active Contour Framework

Vitoantonio Bevilacqua, Alessandro Piazzolla, Paolo Stofella, 2010, ICIC.

A Multi-objective Genetic Algorithm Based Approach to the Optimization of Oligonucleotide Microarray Production Process

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Filippo Menolascina, 2008, ICIC.

New Tools for Expression Alternative Splicing Validation

Ernesto Picardi, Graziano Pesole, Vito Renó, 2010, ICIC.

Pseudo 2D Hidden Markov Models for Face Recognition Using Neural Network Coefficients

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Lucia Cariello, 2007, 2007 IEEE Workshop on Automatic Identification Advanced Technologies.

A novel approach to evaluate blood parameters using computer vision techniques

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2016, 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Artificial neural networks for feedback control of a human elbow hydraulic prosthesis

Mariagrazia Dotoli, Vitoantonio Bevilacqua, Mario Massimo Foglia, 2014, Neurocomputing.

Combined Use of Densitometry and Morphological Analysis to Detect Flat Polyps

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Marco Cortellino, 2009, ICIC.

A Multi-modal Tool Suite for Parkinson's Disease Evaluation and Grading

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2020, Neural Approaches to Dynamics of Signal Exchanges.

Gait Analysis and Parkinson’s Disease: Recent Trends on Main Applications in Healthcare

Gianpaolo Francesco Trotta, Giacomo Donato Cascarano, D. Buongiorno, 2018, Converging Clinical and Engineering Research on Neurorehabilitation III.

Genetic Algorithms and Artificial Neural Networks in Microarray Data Analysis: a Distributed Approach

Vitoantonio Bevilacqua, Stefania Tommasi, Giuseppe Mastronardi, 2006 .

Analysis and optimization of the 13C octanoic acid breath test

Vitoantonio Bevilacqua, Francesco Russo, Antonio Brunetti, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Classification of Healthy Subjects and Alzheimer's Disease Patients with Dementia from Cortical Sources of Resting State EEG Rhythms: A Study Using Artificial Neural Networks

G. Frisoni, C. Babiloni, C. del Percio, 2017, Front. Neurosci..

Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling

Alex Alves Freitas, Vitoantonio Bevilacqua, Stefania Tommasi, 2007, Int. J. Hybrid Intell. Syst..

A Computer Vision and Control Algorithm to Follow a Human Target in a Generic Environment Using a Drone

Vitoantonio Bevilacqua, Antonio Di Maio, Vitoantonio Bevilacqua, 2016, ICIC.

Identification of Tumor Evolution Patterns by Means of Inductive Logic Programming

Vitoantonio Bevilacqua, Stefania Tommasi, Giuseppe Mastronardi, 2008, Genom. Proteom. Bioinform..

A P300 Clustering of Mild Cognitive Impairment Patients Stimulated in an Immersive Virtual Reality Scenario

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Giuseppe Mastronardi, 2015, ICIC.

Evaluation of Resonance in Staff Selection through Multimedia Contents

Vitoantonio Bevilacqua, Giacomo Tattoli, Angelo Antonio Salatino, 2014, ICIC.

High-Throughput Analysis of the Drug Mode of Action of PB28, MC18 and MC70, Three Cyclohexylpiperazine Derivative New Molecules

Vitoantonio Bevilacqua, Paolo Pannarale, Diego di Bernardo, 2008, ICIC.

Pattern Recognition and Mixed Reality for Computer-Aided Maxillofacial Surgery and Oncological Assessment

Dieter Schmalstieg, Antonio Pepe, Gianpaolo Francesco Trotta, 2018, 2018 11th Biomedical Engineering International Conference (BMEiCON).

A New Ontological Probabilistic Approach to the Breast Cancer Problem in Semantic Medicine

Vitoantonio Bevilacqua, Stefania Tommasi, Vito Santarcangelo, 2010, ICIC.

TestGraphia, a Software System for the Early Diagnosis of Dysgraphia

Vitoantonio Bevilacqua, Giovanni Dimauro, Lucio Colizzi, 2020, IEEE Access.

3D measurements for tumours malignancies early diagnosis

R. Bellotti, G. Gargano, Vitoantonio Bevilacqua, 2011, 2011 IEEE International Symposium on Medical Measurements and Applications.

A Genetic Optimization Technique for the Strategic Use of Renewable Energy Supply

D. Chiaradia, D. Buongiorno, Vitoantonio Bevilacqua, 2012 .

Public-private initiative to align EEG biomarkers of Alzheimer ’ s disease in human and mouse models for early stages of drug discovery : the achievements of IMI PharmaCog project

G. Frisoni, C. Babiloni, R. Lizio, 2017 .

Classification of Single Normal and Alzheimer ' s Disease Individuals from Cortical Sources of Resting State EEG Rhythms BABILONI

G. Frisoni, C. Babiloni, C. del Percio, 2017 .

Evaluation of Vision-Based Hand Tool Tracking Methods for Quality Assessment and Training in Human-Centered Industry 4.0

D. Buongiorno, Vitoantonio Bevilacqua, A. Brunetti, 2022, Applied Sciences.

Assessment and Rating of Movement Impairment in Parkinson's Disease Using a Low-Cost Vision-Based System

Ilaria Bortone, Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, 2018, ICIC.

On the Analysis of the Relationship Between Alkaline Water Usage and Muscle Fatigue Recovery

Sabina Ilaria Tatò, Giacomo Donato Cascarano, Irio De Feudis, 2020, AHFE.

Evolutionary Design of Synthetic Gene Networks by Means of a Semantic Expert System

Vitoantonio Bevilacqua, Paolo Pannarale, Vitoantonio Bevilacqua, 2014, ICIC.

Cooperative Inter-Municipal Waste Collection : A Multi Agent System Approach

Vitoantonio Bevilacqua, Paolo Renna, Francesca Intini, 2010 .

Performance Assessment in Fingerprinting and Multi Component Quantitative NMR Analyses.

L. Tenori, R. Lamanna, M. Valerio, 2015, Analytical Chemistry.

Braille Lab: A New Design Approach for Social Entrepreneurship and Innovation in Assistive Tools for the Visually Impaired

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2017 .

Determining and interpreting new predictive rules for breast cancer familial inheritance.

V. Fedele, S. Tommasi, Vitoantonio Bevilacqua, 2011, Omics : a journal of integrative biology.

Advanced Intelligent Computing

Yong Gan, De-Shuang Huang, Vitoantonio Bevilacqua, 2011, Lecture Notes in Computer Science.

Advanced classification of Alzheimer's disease and healthy subjects based on EEG markers

Vitoantonio Bevilacqua, Loreto Gesualdo, Claudio Del Percio, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Mutual interaction between motor cortex activation and pain in fibromyalgia: EEG-fNIRS study

M. de Tommaso, Vitoantonio Bevilacqua, A. Brunetti, 2020, PloS one.

A Machine Learning and Radiomics Approach in Lung Cancer for Predicting Histological Subtype

D. Buongiorno, Vitoantonio Bevilacqua, A. Brunetti, 2022, Applied Sciences.

Enhancement of aortic dissections in CT angiography: are common filters robust enough?

J. Egger, D. Buongiorno, Vitoantonio Bevilacqua, 2022, Medical Imaging.

Geometric modeling of aortic dissections through convolution surfaces

J. Egger, D. Buongiorno, Vitoantonio Bevilacqua, 2022, Medical Imaging.

19th biennial IPEG Meeting

Asbjørn Mohr Drewes, Vitoantonio Bevilacqua, Roshan Cools, 2016 .

Advanced Intelligent Computing: 8th International Conference ICIC 2012, Huangshan , China, July 25-29, 2012: Proceedings

Vitoantonio Bevilacqua, Jiang Changjun, Juan Carlos Figueroa, 2012 .

Face Recognition, Musical Appraisal, and Emotional Crossmodal Bias

M. de Tommaso, Vitoantonio Bevilacqua, A. Brunetti, 2017, Front. Behav. Neurosci..

A Fusion Biopsy Framework for Prostate Cancer Based on Deformable Superellipses and nnU-Net

Sardar Mehboob Hussain, D. Buongiorno, Vitoantonio Bevilacqua, 2022, Bioengineering.

A novel approach for Hepatocellular Carcinoma detection and classification based on triphasic CT Protocol

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Katarina Elez, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

A Deep Learning Approach for Hepatocellular Carcinoma Grading

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Leonarda Carnimeo, 2017, Int. J. Comput. Vis. Image Process..

First Progresses in Evaluation of Resonance in Staff Selection through Speech Emotion Recognition

Vitoantonio Bevilacqua, Pietro Guccione, Angelo Antonio Salatino, 2013, ICIC.

Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN

Vitoantonio Bevilacqua, Sabina Ilaria Tatò, Domenico Buongiorno, 2021, Informatics.

Adaptive Bi-objective Genetic Programming for Data-Driven System Modeling

Vitoantonio Bevilacqua, Giovanni Iacca, Ernesto Mininno, 2016, ICIC.

Optimizing Feed-Forward Neural Network Topology by Multi-objective Evolutionary Algorithms: A Comparative Study on Biomedical Datasets

Vitoantonio Bevilacqua, Giovanni Iacca, Ernesto Mininno, 2015, WIVACE.

Intelligent Computing Theories and Methodologies

De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne, 2015, Lecture Notes in Computer Science.

A Multi-objective Genetic Optimization Technique for the Strategic Design of Distribution Networks

Mariagrazia Dotoli, Vitoantonio Bevilacqua, Fabio Sciancalepore, 2011, ICIC.

A Novel Multi Objective Genetic Algorithm for the Portfolio Optimization

Vitoantonio Bevilacqua, Vincenzo Pacelli, Stefano Saladino, 2011, ICIC.

Hybrid Systems and Artificial Immune Systems: Performances and Applications to Biomedical Research

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Filippo Menolascina, 2007, ISNN.

An Expert System for an Innovative Discrimination Tool of Commercial Table Grapes

Vitoantonio Bevilacqua, Giuseppe Ferrara, Vito Gallo, 2012, ICIC.

Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters

Vitoantonio Bevilacqua, A. Schirinzi, G. E. Carpagnano, 2021, Sensors.

A Comprehensive Approach for Physical Rehabilitation Assessment in Multiple Sclerosis Patients Based on Gait Analysis

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2017, AHFE.

Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey

Giacomo Donato Cascarano, Vitoantonio Bevilacqua, F. Marino, 2022, Neurocomputing.

A Supervised Approach to Classify the Status of Bone Mineral Density in Post-Menopausal Women through Static and Dynamic Baropodometry

Ilaria Bortone, Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Deep Learning Based Image Processing for Robot Assisted Surgery: A Systematic Literature Survey

Sardar Mehboob Hussain, D. Buongiorno, Vitoantonio Bevilacqua, 2022, IEEE Access.

Semantic Segmentation Framework for Glomeruli Detection and Classification in Kidney Histological Sections

Vitoantonio Bevilacqua, Loreto Gesualdo, Francescomaria Marino, 2020, Electronics.

Biometric handwriting analysis to support Parkinson’s Disease assessment and grading

Vitoantonio Bevilacqua, Eugenio Di Sciascio, Antonio Brunetti, 2019, BMC Medical Informatics and Decision Making.

A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images

Vitoantonio Bevilacqua, Loreto Gesualdo, Antonio Brunetti, 2019, BMC Medical Informatics and Decision Making.

A neural network-based software to recognise blepharospasm symptoms and to measure eye closure time

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2019, Comput. Biol. Medicine.

Computer-assisted frameworks for classification of liver, breast and blood neoplasias via neural networks: A survey based on medical images

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Leonarda Carnimeo, 2019, Neurocomputing.

Comparison of data-merging methods with SVM attribute selection and classification in breast cancer gene expression

Vitoantonio Bevilacqua, Paolo Pannarale, Stefania Tommasi, 2011, BMC Bioinformatics.

Bioelectronic Technologies and Artificial Intelligence for Medical Diagnosis and Healthcare

L. Pecchia, G. Dimauro, Vitoantonio Bevilacqua, 2021, Electronics.

An Innovative Neural Network Framework for Glomerulus Classification Based on Morphological and Texture Features Evaluated in Histological Images of Kidney Biopsy

Vitoantonio Bevilacqua, Loreto Gesualdo, Antonio Brunetti, 2019, ICIC.

Photogrammetric Meshes and 3D Points Cloud Reconstruction: A Genetic Algorithm Optimization Procedure

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Giuseppe Bellantuono, 2016, WIVACE.

Assessment of Speech Intelligibility in Parkinson’s Disease Using a Speech-To-Text System

Danilo Caivano, Vitoantonio Bevilacqua, Giovanni Dimauro, 2017, IEEE Access.

The role of unpaired image-to-image translation for stain color normalization in colorectal cancer histology classification

Tommaso Maria Marvulli, S. Tommasi, Vitoantonio Bevilacqua, 2023, Comput. Methods Programs Biomed..

Multi-class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features

Vitoantonio Bevilacqua, Simona De Summa, Stefania Tommasi, 2021, ICIC.

Association of Neuroretinal Thinning and Microvascular Changes with Hypertension in an Older Population in Southern Italy

G. Alessio, Vitoantonio Bevilacqua, I. Bortone, 2022, Journal of clinical medicine.

Synthesis of a Neural Network Classifier for Hepatocellular Carcinoma Grading Based on Triphasic CT Images

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Leonarda Carnimeo, 2016, RTIP2R.

Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics

Vitoantonio Bevilacqua, A. Scardapane, Chiara Morelli, 2021, Electronics.

Computer vision and deep learning techniques for pedestrian detection and tracking: A survey

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2018, Neurocomputing.

Locomotion Mode Classification Based on Support Vector Machines and Hip Joint Angles: A Feasibility Study for Applications in Wearable Robotics

Simona Crea, Andrea Parri, Nicola Vitiello, 2017, HFR.

Biomedical Text Mining Using a Grid Computing Approach

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Marcello Castellano, 2008, ICIC.

A Novel Multi-Objective Genetic Algorithm Approach to Artificial Neural Network Topology Optimisation: The Breast Cancer Classification Problem

Vitoantonio Bevilacqua, Paolo Pannarale, Giuseppe Mastronardi, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2019, Cognitive Systems Research.

An Optimized Feed-forward Artificial Neural Network Topology to Support Radiologists in Breast Lesions Classification

Vitoantonio Bevilacqua, Antonio Brunetti, Michele Telegrafo, 2016, GECCO.

Prediction of gastrointestinal cancers in the ONCONUT cohort study: comparison between logistic regression and artificial neural network

Vitoantonio Bevilacqua, V. Guerra, G. Misciagna, 2023, Frontiers in Oncology.

A novel BCI-SSVEP based approach for control of walking in Virtual Environment using a Convolutional Neural Network

Antonio Frisoli, Massimo Bergamasco, Vitoantonio Bevilacqua, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Deep Learning for Automatic Vision-Based Recognition of Industrial Surface Defects: A Survey

M. Dotoli, D. Buongiorno, Vitoantonio Bevilacqua, 2023, IEEE Access.

Attention Control during Distance Learning Sessions

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Roberto Fortunato Depasquale, 2013, ICIAP Workshops.

Predicting Text Legibility over Textured Digital Backgrounds for a Monocular Optical See-Through Display

Vitoantonio Bevilacqua, Francescomaria Marino, Giuseppe Monno, 2017, PRESENCE: Teleoperators and Virtual Environments.

Inline Defective Laser Weld Identification by Processing Thermal Image Sequences with Machine and Deep Learning Techniques

Sardar Mehboob Hussain, D. Buongiorno, Vitoantonio Bevilacqua, 2022, Applied Sciences.

Smell and Meaning: An OERP Study

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Pietro Siciliano, 2018, Multidisciplinary Approaches to Neural Computing.

Evolutionary Approach to Inverse Planning in Coplanar Radiotherapy

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Giuseppe Piscopo, 2003, WILF.

An Artificial Neural Network Model to Forecast Exchange Rates

Vitoantonio Bevilacqua, Vincenzo Pacelli, Michele Azzollini, 2011, J. Intell. Learn. Syst. Appl..

Image Processing Framework for Virtual Colonoscopy

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Marco Moschetta, 2009, ICIC.

Relevant Measurements for Polyps in 3D Virtual Colonoscopy

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Marco Cortellino, 2009, ICIC.

Intelligent Computing Theories

De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne, 2013, Lecture Notes in Computer Science.

A Marker-Less Registration Approach for Mixed Reality–Aided Maxillofacial Surgery: a Pilot Evaluation

Antonio Pepe, Gianpaolo Francesco Trotta, Peter Mohr-Ziak, 2019, Journal of Digital Imaging.

Testing a novel method for improving wayfinding by means of a P3b Virtual Reality Visual Paradigm in normal aging

Vitoantonio Bevilacqua, Marina de Tommaso, Katia Ricci, 2016, SpringerPlus.

Developing optimal input design strategies in cancer systems biology with applications to microfluidic device engineering

Vitoantonio Bevilacqua, Stefania Tommasi, Filippo Menolascina, 2009, BMC Bioinformatics.

An innovative framework for rare neurodegenerative diseases analysis

Vitoantonio Bevilacqua, Marianna Delussi, Marina de Tommaso, 2015, 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings.

Experiencing the Sights, Smells, Sounds, and Climate of Southern Italy in VR

Michele Dassisti, Vitoantonio Bevilacqua, Antonio Boccaccio, 2017, IEEE Computer Graphics and Applications.

An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG

S. Micera, A. Mazzoni, A. Grippo, 2023, Journal of neural engineering.

Design and Development of a Robotic Platform Based on Virtual Reality Scenarios and Wearable Sensors for Upper Limb Rehabilitation and Visuomotor Coordination

Vitoantonio Bevilacqua, Francesco Draicchio, Daniele Giansanti, 2019, ICIC.

A Nonlinear Autoencoder for Kinematic Synergy Extraction from Movement Data Acquired with HTC Vive Trackers

Vitoantonio Bevilacqua, Giacomo Donato Cascarano, Irio De Feudis, 2017, IIH-MSP.

Deep learning for processing electromyographic signals: A taxonomy-based survey

Vitoantonio Bevilacqua, Leonarda Carnimeo, Antonio Brunetti, 2020, Neurocomputing.

Retinal Vessel Extraction by a Combined Neural Network-Wavelet Enhancement Method

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Leonarda Carnimeo, 2009, ICIC.

Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease

Vitoantonio Bevilacqua, Loreto Gesualdo, Antonio Brunetti, 2019, ICIC.

Wearable rumble device for active asymmetry measurement and correction in lower limb mobility

Vitoantonio Bevilacqua, Michele Fiorentino, Mario M. Foglia, 2011, 2011 IEEE International Symposium on Medical Measurements and Applications.

Asymmetry measurement for vibroactive correction in lower limbs mobility

Vitoantonio Bevilacqua, Mario Massimo Foglia, Michele Fiorentino, 2013, Comput. Sci. Inf. Syst..

A neural network for glomerulus classification based on histological images of kidney biopsy

Giacomo Donato Cascarano, Francesco Saverio Debitonto, D. Buongiorno, 2021, BMC Medical Informatics and Decision Making.

An innovative neural network framework to classify blood vessels and tubules based on Haralick features evaluated in histological images of kidney biopsy

Vitoantonio Bevilacqua, Annamaria Di Palma, Loreto Gesualdo, 2017, Neurocomputing.

Movement observation activates motor cortex in fibromyalgia patients: a fNIRS study

L. Craighero, M. de Tommaso, Vitoantonio Bevilacqua, 2022, Scientific Reports.

A Deep Learning Instance Segmentation Approach for Global Glomerulosclerosis Assessment in Donor Kidney Biopsies

Vitoantonio Bevilacqua, Loreto Gesualdo, Giacomo Donato Cascarano, 2020, Electronics.

A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson’s Disease

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2019, BMC Medical Informatics and Decision Making.

CRISPRLearner: A Deep Learning-Based System to Predict CRISPR/Cas9 sgRNA On-Target Cleavage Efficiency

Danilo Caivano, Vitoantonio Bevilacqua, Giovanni Dimauro, 2019, Electronics.

A Survey on Deep Learning in Electromyographic Signal Analysis

Vitoantonio Bevilacqua, Antonio Brunetti, Giacomo Donato Cascarano, 2019, ICIC.

Scalable high-throughput identification of genetic targets by network filtering

Vitoantonio Bevilacqua, P. Pannarale, 2013, BMC Bioinformatics.

A Computational Approach to the Design of Scaffolds for Bone Tissue Engineering

Vitoantonio Bevilacqua, Carmine Pappalettere, Antonio Boccaccio, 2018 .

Real time RULA assessment using Kinect v2 sensor.

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Emmanuele Uva, 2017, Applied ergonomics.

Novel Data Mining Techniques in aCGH based Breast Cancer Subtypes Profiling: the Biological Perspective

Vitoantonio Bevilacqua, Stefania Tommasi, Giuseppe Mastronardi, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

A neuromusculoskeletal model of the human upper limb for a myoelectric exoskeleton control using a reduced number of muscles

Antonio Frisoli, Vitoantonio Bevilacqua, Massimiliano Solazzi, 2015, 2015 IEEE World Haptics Conference (WHC).

VoxTester, software for digital evaluation of speech changes in Parkinson disease

Danilo Caivano, Vitoantonio Bevilacqua, Giovanni Dimauro, 2016, 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Improving Female Breast Cancer Prognosis by Means of Fuzzy Rule Induction with Artificial Immune Systems

Vitoantonio Bevilacqua, Stefania Tommasi, Alex A. Freitas, 2007 .

Classification of Single Normal and Alzheimer's Disease Individuals from Cortical Sources of Resting State EEG Rhythms

G. Frisoni, C. Babiloni, R. Lizio, 2016, Front. Neurosci..

Tumor Cellularity Assessment of Breast Histopathological Slides via Instance Segmentation and Pathomic Features Explainability

Vitoantonio Bevilacqua, F. Marino, E. Mattioli, 2023, Bioengineering.

A Deep Learning Approach for the Automatic Detection and Segmentation in Autosomal Dominant Polycystic Kidney Disease Based on Magnetic Resonance Images

Vitoantonio Bevilacqua, Antonio Brunetti, Andrea Guerriero, 2018, ICIC.

A Linear Optimization Procedure for an EMG-driven NeuroMusculoSkeletal Model Parameters Adjusting: Validation Through a Myoelectric Exoskeleton Control

Antonio Frisoli, Vitoantonio Bevilacqua, Massimiliano Solazzi, 2016, EuroHaptics.

Intelligent Neonatal Sepsis Early Diagnosis System for Very Low Birth Weight Infants

D. Buongiorno, Vitoantonio Bevilacqua, A. Del Vecchio, 2021, Applied Sciences.

Classification of Healthy Subjects and Alzheimer’s Disease Patients with Dementia from Cortical Sources of Resting State EEG Rhythms: Comparing Different Approaches

G. Frisoni, C. Babiloni, R. Lizio, 2018, Converging Clinical and Engineering Research on Neurorehabilitation III.

Reverse Engineered Gene Networks Reveal Markers Predicting the Outcome of Breast Cancer

Vitoantonio Bevilacqua, Paolo Pannarale, Vitoantonio Bevilacqua, 2010, ICIC.

Artificial Neural Network Analysis and ERP in Intimate Partner Violence

Vitoantonio Bevilacqua, Sara Invitto, Antonio Brunetti, 2018, Multidisciplinary Approaches to Neural Computing.

Task-Oriented Muscle Synergy Extraction Using An Autoencoder-Based Neural Model

Antonio Frisoli, Vitoantonio Bevilacqua, Giacomo Donato Cascarano, 2020, Inf..

A Multimodal System for Nonverbal Human Feature Recognition in Emotional Framework

Michele Dassisti, Mariagrazia Dotoli, Vitoantonio Bevilacqua, 2015, EMPIRE@RecSys.

Reconstruction, Optimization and Quality Check of Microsoft HoloLens-Acquired 3D Point Clouds

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2020, Neural Approaches to Dynamics of Signal Exchanges.

Genetic Algorithm and Neural Network Based Classification in Microarray Data Analysis with Biological Validity Assessment

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Filippo Menolascina, 2006, ICIC.

An Explainable Radiogenomic Framework to Predict Mutational Status of KRAS and EGFR in Lung Adenocarcinoma Patients

D. Buongiorno, Vitoantonio Bevilacqua, F. Corallo, 2023, Bioengineering.

A model-free technique based on computer vision and sEMG for classification in Parkinson's disease by using computer-assisted handwriting analysis

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Eugenio Di Sciascio, 2019, Pattern Recognit. Lett..

A Model-Free Computer-Assisted Handwriting Analysis Exploiting Optimal Topology ANNs on Biometric Signals in Parkinson's Disease Research

Vitoantonio Bevilacqua, Eugenio Di Sciascio, Antonio Brunetti, 2018, ICIC.

A comparison between ANN and SVM classifiers for Parkinson’s disease by using a model-free computer-assisted handwriting analysis based on biometric signals

Ilaria Bortone, Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Computer Vision and EMG-Based Handwriting Analysis for Classification in Parkinson's Disease

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2017, ICIC.

Intelligent Computing Theories and Application

De-Shuang Huang, Phalguni Gupta, Vitoantonio Bevilacqua, 2016, Lecture Notes in Computer Science.

A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality

Tommaso Maria Marvulli, D. Naso, V. Monaco, 2023, Sensors.

Proceedings of the 5th international conference on Emerging intelligent computing technology and applications

Kang-Hyun Jo, De-Shuang Huang, Vitoantonio Bevilacqua, 2009 .

A Neural Network Approach to Medical Image Segmentation and Three-Dimensional Reconstruction

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Mario Marinelli, 2006, ICIC.

Hybrid Data Ananlysis Methods and Artificial Neural Network Design in Breast Cancer Diagnosis: IDEST Experience

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Filippo Menolascina, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

Comparative Analysis of Rhino-Cytological Specimens with Image Analysis and Deep Learning Techniques

Vitoantonio Bevilacqua, Antonio Brunetti, Giovanni Dimauro, 2020, Electronics.

Deep learning and generative adversarial networks in oral and maxillofacial surgery

Gianpaolo Francesco Trotta, Giacomo Donato Cascarano, D. Shen, 2021, Computer-Aided Oral and Maxillofacial Surgery.

A Computer Aided Ophthalmic Diagnosis System Based on Tomographic Features

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2017, ICIC.

An Evolutionary Optimization Method for Parameter Search in 3D Points Cloud Reconstruction

Vitoantonio Bevilacqua, Francescomaria Marino, Fabio Ivona, 2013, ICIC.

A Comprehensive Method for Assessing the Blepharospasm Cases Severity

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2016, RTIP2R.

SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data

Vitoantonio Bevilacqua, A. Guarini, S. Ciavarella, 2023, Comput. Methods Programs Biomed..

Proposal of a health care network based on big data analytics for PDs

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Eugenio Di Sciascio, 2019, The Journal of Engineering.

Strategic design and multi-objective optimisation of distribution networks based on genetic algorithms

Mariagrazia Dotoli, Vitoantonio Bevilacqua, Fabio Sciancalepore, 2012, Int. J. Comput. Integr. Manuf..

NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM

Vitoantonio Bevilacqua, F. Zito, S. De Summa, 2022, Bioengineering.

A face recognition system based on Pseudo 2D HMM applied to neural network coefficients

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Lucia Cariello, 2008, Soft Comput..

Hidden Markov Models for Recognition Using Artificial Neural Networks

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Giuseppe Romanazzi, 2006, ICIC.

Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy

A. Koumpis, L. Peruzzi, Vitoantonio Bevilacqua, 2023, Comput. Methods Programs Biomed..

Enhancing Survival Analysis Model Selection through XAI(t) in Healthcare

Vitoantonio Bevilacqua, Vladimiro Suglia, Francesco Berloco, 2024, Applied Sciences.

Influence of clinical features of the spine on Gait Analysis in adolescent with idiopathic scoliosis

Vitoantonio Bevilacqua, Domenico Buongiorno, Andrea Piazzolla, 2020, 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Exploring Aesthetic Perception in Impaired Aging: A Multimodal Brain—Computer Interface Study

Vitoantonio Bevilacqua, M. Delussi, K. Ricci, 2024, Sensors.

EasyCluster2: an improved tool for clustering and assembling long transcriptome reads

Ernesto Picardi, Graziano Pesole, Vitoantonio Bevilacqua, 2014, BMC Bioinformatics.

A time-dependent explainable radiomic analysis from the multi-omic cohort of CPTAC-Pancreatic Ductal Adenocarcinoma

D. Buongiorno, Vitoantonio Bevilacqua, G. Zaccaria, 2024, Computer Methods and Programs in Biomedicine.

Developing a Theoretical Framework for Optofluidic Device Designing for System Identification in Systems Biology: the EGFR Study Case

Vitoantonio Bevilacqua, Stefania Tommasi, Filippo Menolascina, 2008, 0804.3128.

Hybrid Detection of Features within the Retinal Fundus using a Genetic Algorithm

Vitoantonio Bevilacqua, Giuseppe Mastronardi, Lucia Cariello, 2010, Genetic and Evolutionary Computation: Medical Applications.

Feasibility of a Non-immersive Virtual Reality Training on Functional Living Skills Applied to Person with Major Neurocognitive Disorder

Francesco Rundo, Vitoantonio Bevilacqua, Claudio Babiloni, 2019, ICIC.

A Linear Approach to Optimize an EMG-Driven Neuromusculoskeletal Model for Movement Intention Detection in Myo-Control: A Case Study on Shoulder and Elbow Joints

Antonio Frisoli, Vitoantonio Bevilacqua, Michele Barsotti, 2018, Front. Neurorobot..