Preliminary Description of NACK-based Ad-hoc On-demand Distance Vector Routing Protocol for MANETs. - Alessandro Bianchi; Sebastiano Pizzutilo; Gennaro Vessio (ICSOFT EA, 2014)

Applying Predicate Abstraction to Abstract State Machines. - Alessandro Bianchi; Sebastiano Pizzutilo; Gennaro Vessio (BMMDS/EMMSAD, 2015)

Comparing AODV and N-AODV Routing Protocols for Mobile Ad-hoc Networks. - Alessandro Bianchi; Sebastiano Pizzutilo; Gennaro Vessio (MoMM, 2015)

Reasoning about Properties with Abstract State Machines. - Gennaro Vessio (STAF Doctoral Symposium, 2015)

Towards an ASM-based Characterization of the Deadlock-freedom Property. - Alessandro Bianchi; Sebastiano Pizzutilo; Gennaro Vessio (ICSOFT-PT, 2016)

CoreASM-based Evaluation of the N-AODV Protocol for MANETs. - Alessandro Bianchi; Sebastiano Pizzutilo; Gennaro Vessio (J. Mobile Multimedia, 2016)

Towards a Digitized Protocol based on Handwriting for the Assessment of Neurodegenerative Disorders. - Donato Impedovo; Giuseppe Pirlo; Maria Teresa Angelillo; Gennaro Vessio (WAIAH@AI*IA, 2017)

Intercepting Blackhole Attacks in MANETs: An ASM-based Model. - Alessandro Bianchi; Sebastiano Pizzutilo; Gennaro Vessio (SEFM Workshops, 2017)

An ASM-based Characterization of Starvation-free Systems. - Alessandro Bianchi; Sebastiano Pizzutilo; Gennaro Vessio (CoRR, 2017)

Analysis of Properties of Complex Systems with Abstract State Machines. - Gennaro Vessio (2017)

Dynamic Handwriting Analysis for Supporting Earlier Parkinson's Disease Diagnosis. - Donato Impedovo; Giuseppe Pirlo; Gennaro Vessio (Inf., 2018)

An ASM-based characterisation of starvation-free systems. - Alessandro Bianchi; Sebastiano Pizzutilo; Gennaro Vessio (Int. J. Parallel Emergent Distributed Syst., 2018)

Performance-Driven Handwriting Task Selection for Parkinson's Disease Classification. - Maria Teresa Angelillo; Donato Impedovo; Giuseppe Pirlo; Gennaro Vessio (AI*IA, 2019)

Handwriting Dynamics as an Indicator of Cognitive Reserve: An Exploratory Study. - Maria Teresa Angelillo; Donato Impedovo; Giuseppe Pirlo; Lucia Sarcinella; Gennaro Vessio (SMC, 2019)

An Evolutionary Approach to address Interoperability Issues in Multi-Device Signature Verification. - Donato Impedovo; Giuseppe Pirlo; Lucia Sarcinella; Gennaro Vessio (SMC, 2019)

Attentional Pattern Classification for Automatic Dementia Detection. - Maria Teresa Angelillo; Fabrizio Balducci; Donato Impedovo; Giuseppe Pirlo; Gennaro Vessio (IEEE Access, 2019)

A Handwriting-Based Protocol for Assessing Neurodegenerative Dementia. - Donato Impedovo; Giuseppe Pirlo; Gennaro Vessio; Maria Teresa Angelillo (Cogn. Comput., 2019)

Dynamically enhanced static handwriting representation for Parkinson's disease detection. - Moisés Díaz; Miguel Angel Ferrer-Ballester; Donato Impedovo; Giuseppe Pirlo; Gennaro Vessio (Pattern Recognit. Lett., 2019)

Investigating the Sigma-Lognormal Model for Disease Classification by Handwriting. - Donato Impedovo; Giuseppe Pirlo; Fabrizio Balducci; Vincenzo Dentamaro; Lucia Sarcinella; Gennaro Vessio (The Lognormality Principle, 2020)

Pepper4Museum: Towards a Human-like Museum Guide. - Giovanna Castellano; Berardina De Carolis; Nicola Macchiarulo; Gennaro Vessio (AVI²CH@AVI, 2020)

Deep Convolutional Embedding for Painting Clustering: Case Study on Picasso's Artworks. - Giovanna Castellano; Gennaro Vessio (DS, 2020)

Evaluation of Cognitive Impairment in Pediatric Multiple Sclerosis with Machine Learning: An Exploratory Study of miRNA Expressions. - Gabriella Casalino; Gennaro Vessio; Arianna Consiglio (EAIS, 2020)

Multi-view Convolutional Network for Crowd Counting in Drone-Captured Images. - Giovanna Castellano; Ciro Castiello; Marco Cianciotta; Corrado Mencar; Gennaro Vessio (ECCV Workshops (4), 2020)

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. - Dawei Du; Longyin Wen; Pengfei Zhu 001; Heng Fan 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Ali Al-Ali; Amr Mohamed 001; Bakour Imene; Bin Dong 006; et al. (ECCV Workshops (4), 2020)

Exploiting Time in Adaptive Learning from Educational Data. - Gabriella Casalino; Giovanna Castellano; Gennaro Vessio (HELMeTO, 2020)

A Brief Overview of Deep Learning Approaches to Pattern Extraction and Recognition in Paintings and Drawings. - Giovanna Castellano; Gennaro Vessio (ICPR Workshops (3), 2020)

Deep Convolutional Embedding for Digitized Painting Clustering. - Giovanna Castellano; Gennaro Vessio (ICPR, 2020)

Crowd Counting from Unmanned Aerial Vehicles with Fully-Convolutional Neural Networks. - Giovanna Castellano; Ciro Castiello; Corrado Mencar; Gennaro Vessio (IJCNN, 2020)

Towards a Tool for Visual Link Retrieval and Knowledge Discovery in Painting Datasets. - Giovanna Castellano; Gennaro Vessio (IRCDL, 2020)

Towards a Decision Support Framework for Forensic Analysis of Dynamic Signatures. - Daniela Mazzolini; Patrizia Pavan; Giuseppe Pirlo; Gennaro Vessio (IRCDL, 2020)

Recognizing the Waving Gesture in the Interaction with a Social Robot. - Giovanna Castellano; Antonio Cervelione; Marco Cianciotta; Berardina De Carolis; Gennaro Vessio (RO-MAN, 2020)

Crowd Detection for Drone Safe Landing Through Fully-Convolutional Neural Networks. - Giovanna Castellano; Ciro Castiello; Corrado Mencar; Gennaro Vessio (SOFSEM, 2020)

Crowd Detection in Aerial Images Using Spatial Graphs and Fully-Convolutional Neural Networks. - Giovanna Castellano; Ciro Castiello; Corrado Mencar; Gennaro Vessio (IEEE Access, 2020)

Ensembling complex network 'perspectives' for mild cognitive impairment detection with artificial neural networks. - Eufemia Lella; Gennaro Vessio (Pattern Recognit. Lett., 2020)

Search-and-Rescue From Drones With Computer Vision. - Giovanna Castellano; Davide Carone; Francesco Scigliuto; Gennaro Vessio (Zenodo, 2020)

Student oriented subset of the Open University Learning Analytics dataset. - Gabriella Casalino; Giovanna Castellano; Gennaro Vessio (Zenodo, 2020)

Human Detection in Drone Images Using YOLO for Search-and-Rescue Operations. - Sergio Caputo; Giovanna Castellano; Francesco Greco; Corrado Mencar; Niccolò Petti; Gennaro Vessio (AI*IA, 2021)

Understanding Art with AI: Our Research Experience. - Giovanna Castellano; Gennaro Vessio (DP@AI*IA, 2021)

Real-Time Age Estimation from Facial Images Using YOLO and EfficientNet. - Giovanna Castellano; Berardina De Carolis; Nicola Marvulli; Mauro Sciancalepore; Gennaro Vessio (CAIP (2), 2021)

Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems. - Francesco Paolo Caforio; Giuseppina Andresini; Gennaro Vessio; Annalisa Appice; Donato Malerba (DS, 2021)

Integrating Contextual Knowledge to Visual Features for Fine Art Classification. - Giovanna Castellano; Giovanni Sansaro; Gennaro Vessio (DL4KG@ISWC, 2021)

Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning. - Pierluigi Bemportato; Gabriella Casalino; Giovanna Castellano; Gennaro Vessio (MDAI, 2021)

Detection of Dementia Through 3D Convolutional Neural Networks Based on Amyloid PET. - Giovanna Castellano; Andrea Esposito 002; Marco Mirizio; Graziano Montanaro; Gennaro Vessio (SSCI, 2021)

Segmentation of remotely sensed images with a neuro-fuzzy inference system. - Giovanna Castellano; Ciro Castiello; Andrea Montemurro; Gennaro Vessio; Gianluca Zaza (WILF, 2021)

ArtGraph: Towards an Artistic Knowledge Graph. - Giovanna Castellano; Giovanni Sansaro; Gennaro Vessio (CoRR, 2021)

An easy-to-explain decision support framework for forensic analysis of dynamic signatures. - Daniela Mazzolini; Paolo Mignone; Patrizia Pavan; Gennaro Vessio (Digit. Investig., 2021)

Sequence-based dynamic handwriting analysis for Parkinson's disease detection with one-dimensional convolutions and BiGRUs. - Moisés Díaz; Momina Moetesum; Imran Siddiqi; Gennaro Vessio (Expert Syst. Appl., 2021)

Editorial for Special Issue "Fine Art Pattern Extraction and Recognition". - Fabio Bellavia; Giovanna Castellano; Gennaro Vessio (J. Imaging, 2021)

Visual link retrieval and knowledge discovery in painting datasets. - Giovanna Castellano; Eufemia Lella; Gennaro Vessio (Multim. Tools Appl., 2021)

Deep learning approaches to pattern extraction and recognition in paintings and drawings: an overview. - Giovanna Castellano; Gennaro Vessio (Neural Comput. Appl., 2021)

Computer Vision Meets Drones: Our Research Experience. - Giovanna Castellano; Corrado Mencar; Gennaro Vessio (DP@AI*IA, 2022)

Investigating the Effectiveness of Color Coding in Multimodal Medical Imaging. - Giuseppe Placidi; Giovanna Castellano; Filippo Mignosi; Matteo Polsinelli; Gennaro Vessio (CBMS, 2022)

Recognizing the Emotions Evoked by Artworks Through Visual Features and Knowledge Graph-Embeddings. - Sinem Aslan; Giovanna Castellano; Vincenzo Digeno; Giuseppe Migailo; Raffaele Scaringi; Gennaro Vessio (ICIAP Workshops (1), 2022)

Unsupervised Brain MRI Anomaly Detection for Multiple Sclerosis Classification. - Giovanna Castellano; Giuseppe Placidi; Matteo Polsinelli; Gianpiero Tulipani; Gennaro Vessio (ICPR Workshops (1), 2022)

Crowd Flow Detection from Drones with Fully Convolutional Networks and Clustering. - Giovanna Castellano; Corrado Mencar; Gaetano Sette; Francesco Saverio Troccoli; Gennaro Vessio (IJCNN, 2022)

MLOps: A Taxonomy and a Methodology. - Matteo Testi; Matteo Ballabio; Emanuele Frontoni; Giulio Iannello; Sara Moccia; Paolo Soda; Gennaro Vessio (IEEE Access, 2022)

ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection. - Giuseppina Andresini; Annalisa Appice; Francesco Paolo Caforio; Donato Malerba; Gennaro Vessio (Expert Syst. Appl., 2022)

A Deep Learning Approach to Clustering Visual Arts. - Giovanna Castellano; Gennaro Vessio (Int. J. Comput. Vis., 2022)

PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries. - Katarzyna Kaczmarek-Majer; Gabriella Casalino; Giovanna Castellano; Monika Dominiak; Olgierd Hryniewicz; Olga Kaminska; Gennaro Vessio; Natalia Díaz Rodríguez (Inf. Sci., 2022)

Leveraging Knowledge Graphs and Deep Learning for automatic art analysis. - Giovanna Castellano; Vincenzo Digeno; Giovanni Sansaro; Gennaro Vessio (Knowl. Based Syst., 2022)

A survey of visual and procedural handwriting analysis for neuropsychological assessment. - Momina Moetesum; Moisés Díaz Cabrera; Uzma Masroor; Imran Siddiqi; Gennaro Vessio (Neural Comput. Appl., 2022)

ArtGraph. - Giovanna Castellano; Vincenzo Digeno; Giovanni Sansaro; Gennaro Vessio (Zenodo, 2022)

Recognizing the Style, Genre, and Emotion of a Work of Art Through Visual and Knowledge Graph Embeddings. - Giovanna Castellano; Raffaele Scaringi; Gennaro Vessio (AI*IA, 2023)

Combining Unsupervised and Supervised Deep Learning for Alzheimer's Disease Detection by Fractional Anisotropy Imaging. - Giovanna Castellano; Eufemia Lella; Valerio Longo; Giuseppe Placidi; Matteo Polsinelli; Gennaro Vessio (CBMS, 2023)

Graph Model to Represent Color Closeness in Pseudo-color Multimodal MRI. - Alessandro Pio; Giovanna Castellano; Filippo Mignosi; Giuseppe Placidi; Matteo Polsinelli; Alessandro Sciarra; Gennaro Vessio (CBMS, 2023)

Identifying AI-Generated Art with Deep Learning. - Tommaso Bianco; Giovanna Castellano; Raffaele Scaringi; Gennaro Vessio (CREAI@AI*IA, 2023)

Applying Knowledge Distillation to Improve Weed Mapping With Drones. - Giovanna Castellano; Pasquale De Marinis; Gennaro Vessio (FedCSIS, 2023)

Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary Study. - Giovanna Castellano; Nicola Fanelli; Raffaele Scaringi; Gennaro Vessio (ICIAP Workshops (2), 2023)

Automatic analysis of artistic heritage through Artificial Intelligence. - Giovanna Castellano; Raffaele Scaringi; Gennaro Vessio (IRCDL, 2023)

Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns. - Rosa Porro; Thomas Ercole; Giuseppe Pipitò; Gennaro Vessio; Corrado Loglisci (SEBD, 2023)

Density-based clustering with fully-convolutional networks for crowd flow detection from drones. - Giovanna Castellano; Eugenio Cotardo; Corrado Mencar; Gennaro Vessio (Neurocomputing, 2023)

ArtGraph. - Giovanna Castellano; Vincenzo Digeno; Giovanni Sansaro; Raffaele Scaringi; Gennaro Vessio (Zenodo, 2023)

Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy. - Serena De Ruvo; Gianvito Pio; Gennaro Vessio; Vincenzo Volpe (Medical Biol. Eng. Comput., 2023)

Weed mapping in multispectral drone imagery using lightweight vision transformers. - Giovanna Castellano; Pasquale De Marinis; Gennaro Vessio (Neurocomputing, 2023)

MicroRNA expression classification for pediatric multiple sclerosis identification. - Gabriella Casalino; Giovanna Castellano; Arianna Consiglio; Nicoletta Nuzziello; Gennaro Vessio (J. Ambient Intell. Humaniz. Comput., 2023)

RoWeeder: Unsupervised Weed Mapping Through Crop-Row Detection. - Pasquale De Marinis; Gennaro Vessio; Giovanna Castellano (ECCV Workshops (3), 2024)

Art2Mus: Bridging Visual Arts and Music Through Cross-Modal Generation. - Ivan Rinaldi; Nicola Fanelli; Giovanna Castellano; Gennaro Vessio (ECCV Workshops (5), 2024)

Integrating Graph Neural Networks and Fuzzy Logic to Enhance Deep Learning Interpretability. - Giovanna Castellano; Raffaele Scaringi; Gennaro Vessio; Gianluca Zaza (EXPLIMED@ECAI, 2024)

From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation. - Daniela Amendola; Teresa M. A. Basile; Giovanna Castellano; Gennaro Vessio; Gianluca Zaza (IJCNN, 2024)

Advancing e-health with AI: Insights from our research experience in neuroimaging, acoustic signals, and vital parameter monitoring. - Gabriella Casalino; Giovanna Castellano; Gennaro Vessio; Gianluca Zaza (Ital-IA, 2024)

Towards Italian Sign Language Generation for Digital Humans. - Emanuele Colonna; Alessandro Arezzo; Domenico Roberto; David Landi; Felice Vitulano; Gennaro Vessio; Giovanna Castellano (NL4AI@AI*IA, 2024)

Enhancing Human Capital Management through GPT-driven Questionnaire Generation. - Lucrezia Laraspata; Fabio Cardilli; Giovanna Castellano; Gennaro Vessio (NL4AI@AI*IA, 2024)

Using LLMs to explain AI-generated art classification via Grad-CAM heatmaps. - Giovanna Castellano; Maria Grazia Miccoli; Raffaele Scaringi; Gennaro Vessio; Gianluca Zaza (XAI.it@AI*IA, 2024)

Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts. - Pasquale De Marinis; Nicola Fanelli; Raffaele Scaringi; Emanuele Colonna; Giuseppe Fiameni; Gennaro Vessio; Giovanna Castellano (CoRR, 2024)

Explainable offline automatic signature verifier to support forensic handwriting examiners. - Moisés Díaz; Miguel A. Ferrer; Gennaro Vessio (Neural Comput. Appl., 2024)

I Dream My Painting: Connecting MLLMs and Diffusion Models via Prompt Generation for Text-Guided Multi-Mask Inpainting. - Nicola Fanelli; Gennaro Vessio; Giovanna Castellano (WACV, 2025)

From segmentation to explanation: Generating textual reports from MRI with LLMs. - Alberto G. Valerio; Katya Trufanova; Salvatore de Benedictis; Gennaro Vessio; Giovanna Castellano (Comput. Methods Programs Biomed., 2025)

GraphCLIP: Image-graph contrastive learning for multimodal artwork classification. - Raffaele Scaringi; Giuseppe Fiameni; Gennaro Vessio; Giovanna Castellano (Knowl. Based Syst., 2025)

Neural network modelling of kinematic and dynamic features for signature verification. - Moisés Díaz; Miguel A. Ferrer; Jose Juan Quintana; Adam Wolniakowski; Roman Trochimczuk; Kanstantsin Miatliuk; Giovanna Castellano; Gennaro Vessio (Pattern Recognit. Lett., 2025)

What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? - Lorenzo Loconte; Antonio Mari; Gennaro Gala; Robert Peharz; Cassio de Campos; Erik Quaeghebeur; Gennaro Vessio; Antonio Vergari (Trans. Mach. Learn. Res., 2025)

Pathways to success: a machine learning approach to predicting investor dynamics in equity and lending crowdfunding campaigns. - Rosa Porro; Thomas Ercole; Giuseppe Pipitò; Gennaro Vessio; Corrado Loglisci (J. Intell. Inf. Syst., 2025)

Enhancing Cell Counting through MLOps: A Structured Approach for Automated Cell Analysis. - Matteo Testi; Luca Clissa; Matteo Ballabio; Salvatore Ricciardi; Federico Baldo; Emanuele Frontoni; Sara Moccia; Gennaro Vessio (CoRR, 2025)

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval. - Nicola Fanelli; Gennaro Vessio; Giovanna Castellano (CoRR, 2025)