Gennaro Vessio

Orcid: 0000-0002-0883-2691

According to our database1, Gennaro Vessio authored at least 78 papers between 2014 and 2024.

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Bibliography

2024
Explainable offline automatic signature verifier to support forensic handwriting examiners.
Neural Comput. Appl., February, 2024

RoWeeder: Unsupervised Weed Mapping through Crop-Row Detection.
CoRR, 2024

Art2Mus: Bridging Visual Arts and Music through Cross-Modal Generation.
CoRR, 2024

What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
CoRR, 2024

Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts.
CoRR, 2024

Advancing e-health with AI: Insights from our research experience in neuroimaging, acoustic signals, and vital parameter monitoring.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
MicroRNA expression classification for pediatric multiple sclerosis identification.
J. Ambient Intell. Humaniz. Comput., December, 2023

Weed mapping in multispectral drone imagery using lightweight vision transformers.
Neurocomputing, December, 2023

Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy.
Medical Biol. Eng. Comput., August, 2023

Density-based clustering with fully-convolutional networks for crowd flow detection from drones.
Neurocomputing, March, 2023

Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Automatic analysis of artistic heritage through Artificial Intelligence.
Proceedings of the 19th The Conference on Information and Research science Connecting to Digital and Library science, 2023

Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary Study.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Applying Knowledge Distillation to Improve Weed Mapping With Drones.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Identifying AI-Generated Art with Deep Learning.
Proceedings of the 2nd Workshop on Artificial Intelligence and Creativity co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

Graph Model to Represent Color Closeness in Pseudo-color Multimodal MRI.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Combining Unsupervised and Supervised Deep Learning for Alzheimer's Disease Detection by Fractional Anisotropy Imaging.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Recognizing the Style, Genre, and Emotion of a Work of Art Through Visual and Knowledge Graph Embeddings.
Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022
A survey of visual and procedural handwriting analysis for neuropsychological assessment.
Neural Comput. Appl., 2022

Leveraging Knowledge Graphs and Deep Learning for automatic art analysis.
Knowl. Based Syst., 2022

PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries.
Inf. Sci., 2022

A Deep Learning Approach to Clustering Visual Arts.
Int. J. Comput. Vis., 2022

ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection.
Expert Syst. Appl., 2022

MLOps: A Taxonomy and a Methodology.
IEEE Access, 2022

Crowd Flow Detection from Drones with Fully Convolutional Networks and Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2022

Unsupervised Brain MRI Anomaly Detection for Multiple Sclerosis Classification.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Recognizing the Emotions Evoked by Artworks Through Visual Features and Knowledge Graph-Embeddings.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Investigating the Effectiveness of Color Coding in Multimodal Medical Imaging.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Computer Vision Meets Drones: Our Research Experience.
Proceedings of the Discussion Papers - 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022 DP), Udine, Italy, November 28, 2022

2021
Deep learning approaches to pattern extraction and recognition in paintings and drawings: an overview.
Neural Comput. Appl., 2021

Visual link retrieval and knowledge discovery in painting datasets.
Multim. Tools Appl., 2021

Editorial for Special Issue "Fine Art Pattern Extraction and Recognition".
J. Imaging, 2021

Sequence-based dynamic handwriting analysis for Parkinson's disease detection with one-dimensional convolutions and BiGRUs.
Expert Syst. Appl., 2021

An easy-to-explain decision support framework for forensic analysis of dynamic signatures.
Digit. Investig., 2021

ArtGraph: Towards an Artistic Knowledge Graph.
CoRR, 2021

Segmentation of remotely sensed images with a neuro-fuzzy inference system.
Proceedings of WILF 2021, 2021

Detection of Dementia Through 3D Convolutional Neural Networks Based on Amyloid PET.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

Integrating Contextual Knowledge to Visual Features for Fine Art Classification.
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021

Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems.
Proceedings of the Discovery Science - 24th International Conference, 2021

Real-Time Age Estimation from Facial Images Using YOLO and EfficientNet.
Proceedings of the Computer Analysis of Images and Patterns, 2021

Understanding Art with AI: Our Research Experience.
Proceedings of the AIxIA 2021 Discussion Papers co-located with the the 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021), 2021

Human Detection in Drone Images Using YOLO for Search-and-Rescue Operations.
Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020
Ensembling complex network 'perspectives' for mild cognitive impairment detection with artificial neural networks.
Pattern Recognit. Lett., 2020

Crowd Detection in Aerial Images Using Spatial Graphs and Fully-Convolutional Neural Networks.
IEEE Access, 2020

Crowd Detection for Drone Safe Landing Through Fully-Convolutional Neural Networks.
Proceedings of the SOFSEM 2020: Theory and Practice of Computer Science, 2020

Recognizing the Waving Gesture in the Interaction with a Social Robot.
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

Towards a Decision Support Framework for Forensic Analysis of Dynamic Signatures.
Proceedings of the Digital Libraries: The Era of Big Data and Data Science, 2020

Towards a Tool for Visual Link Retrieval and Knowledge Discovery in Painting Datasets.
Proceedings of the Digital Libraries: The Era of Big Data and Data Science, 2020

Crowd Counting from Unmanned Aerial Vehicles with Fully-Convolutional Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Convolutional Embedding for Digitized Painting Clustering.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Brief Overview of Deep Learning Approaches to Pattern Extraction and Recognition in Paintings and Drawings.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Exploiting Time in Adaptive Learning from Educational Data.
Proceedings of the Bridges and Mediation in Higher Distance Education, 2020


Multi-view Convolutional Network for Crowd Counting in Drone-Captured Images.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Evaluation of Cognitive Impairment in Pediatric Multiple Sclerosis with Machine Learning: An Exploratory Study of miRNA Expressions.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Deep Convolutional Embedding for Painting Clustering: Case Study on Picasso's Artworks.
Proceedings of the Discovery Science - 23rd International Conference, 2020

Pepper4Museum: Towards a Human-like Museum Guide.
Proceedings of the AVI²CH Workshop on Advanced Visual Interfaces and Interactions in Cultural Heritage co-located with 2020 International Conference on Advanced Visual Interfaces (AVI 2020), 2020

Investigating the Sigma-Lognormal Model for Disease Classification by Handwriting.
Proceedings of the Lognormality Principle and its Applications in e-Security, 2020

2019
Dynamically enhanced static handwriting representation for Parkinson's disease detection.
Pattern Recognit. Lett., 2019

A Handwriting-Based Protocol for Assessing Neurodegenerative Dementia.
Cogn. Comput., 2019

Attentional Pattern Classification for Automatic Dementia Detection.
IEEE Access, 2019

An Evolutionary Approach to address Interoperability Issues in Multi-Device Signature Verification.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Handwriting Dynamics as an Indicator of Cognitive Reserve: An Exploratory Study.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Performance-Driven Handwriting Task Selection for Parkinson's Disease Classification.
Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2018
An ASM-based characterisation of starvation-free systems.
Int. J. Parallel Emergent Distributed Syst., 2018

Dynamic Handwriting Analysis for Supporting Earlier Parkinson's Disease Diagnosis.
Inf., 2018

2017
Analysis of Properties of Complex Systems with Abstract State Machines.
PhD thesis, 2017

An ASM-based Characterization of Starvation-free Systems.
CoRR, 2017

Intercepting Blackhole Attacks in MANETs: An ASM-based Model.
Proceedings of the Software Engineering and Formal Methods, 2017

Towards a Digitized Protocol based on Handwriting for the Assessment of Neurodegenerative Disorders.
Proceedings of the Workshop on Artificial Intelligence with Application in Health co-located with the 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017

2016
CoreASM-based Evaluation of the N-AODV Protocol for MANETs.
J. Mobile Multimedia, 2016

Towards an ASM-based Characterization of the Deadlock-freedom Property.
Proceedings of the 11th International Joint Conference on Software Technologies (ICSOFT 2016) - Volume 2: ICSOFT-PT, Lisbon, Portugal, July 24, 2016

2015
Reasoning about Properties with Abstract State Machines.
Proceedings of the Doctoral Symposium at Software Technologies: Applications and Foundations 2015 Conference (STAF 2015), 2015

Comparing AODV and N-AODV Routing Protocols for Mobile Ad-hoc Networks.
Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia, 2015

Applying Predicate Abstraction to Abstract State Machines.
Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2015

2014
Preliminary Description of NACK-based Ad-hoc On-demand Distance Vector Routing Protocol for MANETs.
Proceedings of the ICSOFT-EA 2014, 2014


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