Gennaro Vessio

Gennaro Vessio

Publications

Selected publications spanning my main research lines.

Below is a selected list of publications that I consider particularly representative of my research trajectory, scientific interests, or recent work.

For a complete bibliographic record, see Google Scholar and ORCID.

2026

  • De Marinis, P., Vessio, G., Castellano, G. “Take a peek: Efficient encoder adaptation for few-shot semantic segmentation via LoRA.” Pattern Recognition Letters, 207, 47–54. DOI / paper
  • Zaza, G., Scaringi, R., Vessio, G., Castellano, G. “FuzzyGNN: a graph neural network framework for enhanced fuzzy modeling.” Neural Computing and Applications, 38, 390. DOI / paper
  • Andrisani, A., Vessio, G., Sgobba, F., Di Lena, F., Santamaria, L.A., Castellano, G. “Modeling and benchmarking quantum optical neurons for efficient neural computation.” PLoS One, 21(3), e0341545. DOI / paper
  • Colonna, E., Rinaldi, I., Landi, D., Vessio, G., Castellano, G. “Handscribe: A Gloss-Free Framework for Sign Language Translation and Gloss Sequence Generation.” Computer Vision and Image Understanding, 265, 104674. DOI / paper
  • Testi, M., Fiorentino, M.C., Ballabio, M., Visani, G., Ciccozzi, M., Frontoni, E., Moccia, S., Vessio, G. “FetalMLOps: Operationalizing Machine Learning Models for Standard Fetal Ultrasound Plane Classification.” Medical & Biological Engineering & Computing, 64(1), 75–90. DOI / paper
  • Brescia, F., Alemán Santana, B.E., Diaz, M., Vessio, G., Ferrer, M.A., Castellano, G. “Integrating robotic kinematics and dynamics with online handwriting features for dysgraphia classification.” Biomedical Signal Processing and Control, 112, 108560. DOI / paper
  • De Marinis, P., Iammarino, A., Vessio, G., Castellano, G. “WeedDiffusion: A Dual-Branch Synthetic Augmentation Framework for Weed Mapping.” ICPR 2026, LNCS 16813, 545–559. DOI / paper
  • Fanelli, N., De Marinis, P., Scaringi, R., Cetinic, E., Vessio, G., Castellano, G. “Understanding How MLLMs Describe Artworks Using Token Activation Maps.” ICPR 2026 Workshops. arXiv / paper
  • De Marinis, P., Cherubini, S., Arcangeli, P., Palombo, N., Iurato, V., Castellano, G., Angelillo, M.T., Vessio, G. “Towards Real-Time Drone Vision for Road Safety.” ICPR 2026 Workshops. DBLP record

2025

  • Valerio, A.G., Trufanova, K., de Benedictis, S., Vessio, G., Castellano, G. “From segmentation to explanation: Generating textual reports from MRI with LLMs.” Computer Methods and Programs in Biomedicine, 270, 108922. DOI / paper
  • Loconte, L., Mari, A., Gala, G., Peharz, R., de Campos, C., Quaeghebeur, E., Vessio, G., Vergari, A. “What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?” Transactions on Machine Learning Research, 2025. Featured & J2C certified. OpenReview / paper
  • Scaringi, R., Fiameni, G., Vessio, G., Castellano, G. “GraphCLIP: Image-graph contrastive learning for multimodal artwork classification.” Knowledge-Based Systems, 310, 112857. DOI / paper
  • De Marinis, P., Fanelli, N., Scaringi, R., Colonna, E., Fiameni, G., Vessio, G., Castellano, G. “Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts.” ECAI 2025, 4016–4023. DOI / paper
  • Fanelli, N., Vessio, G., Castellano, G. “I Dream My Painting: Connecting MLLMs and Diffusion Models via Prompt Generation for Text-Guided Multi-Mask Inpainting.” WACV 2025. IEEE CIS Italy Chapter Best Paper — Honorable Mention. arXiv / paper
  • Diaz, M., Ferrer, M.A., Quintana, J.J., Wolniakowski, A., Trochimczuk, R., Miatliuk, K., Castellano, G., Vessio, G. “Neural network modelling of kinematic and dynamic features for signature verification.” Pattern Recognition Letters, 187, 130–136. DOI / paper
  • Porro, R., Ercole, T., Pipitò, G., Vessio, G., Loglisci, C. “Pathways to success: a machine learning approach to predicting investor dynamics in equity and lending crowdfunding campaigns.” Journal of Intelligent Information Systems, 63(1), 135–159. DOI / paper

2024

  • Castellano, G., Esposito, A., Lella, E., Montanaro, G., Vessio, G. “Automated detection of Alzheimer’s disease: a multi-modal approach with 3D MRI and amyloid PET.” Scientific Reports, 14, 5210. DOI / paper
  • Diaz, M., Ferrer, M.A., Vessio, G. “Explainable offline automatic signature verifier to support forensic handwriting examiners.” Neural Computing and Applications, 36, 2411–2427. DOI / paper
  • De Marinis, P., Vessio, G., Castellano, G. “RoWeeder: Unsupervised Weed Mapping through Crop-Row Detection.” ECCV 2024 Workshops. arXiv / paper
  • Rinaldi, I., Fanelli, N., Castellano, G., Vessio, G. “Art2Mus: Bridging Visual Arts and Music Through Cross-Modal Generation.” ECCV 2024 Workshops. arXiv / paper
  • Amendola, D., Basile, A., Castellano, G., Vessio, G., Zaza, G. “From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation.” IJCNN 2024, 1–7. DOI / paper

2023

  • Castellano, G., De Marinis, P., Vessio, G. “Weed mapping in multispectral drone imagery using lightweight vision transformers.” Neurocomputing, 562, 126914. DOI / paper
  • Castellano, G., Cotardo, E., Mencar, C., Vessio, G. “Density-based clustering with fully-convolutional networks for crowd flow detection from drones.” Neurocomputing, 526, 169–179. DOI / paper
  • Casalino, G., Castellano, G., Consiglio, A., Nuzziello, N., Vessio, G. “MicroRNA expression classification for pediatric multiple sclerosis identification.” Journal of Ambient Intelligence and Humanized Computing, 14, 15851–15860. DOI / paper
  • Castellano, G., De Marinis, P., Vessio, G. “Applying Knowledge Distillation to Improve Weed Mapping With Drones.” FedCSIS 2023, 393–400. Distinction Award. DOI / paper
  • De Ruvo, S., Pio, G., Vessio, G., Volpe, V. “Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy.” Medical & Biological Engineering & Computing, 61(8), 2051–2066. DOI / paper
  • Castellano, G., Lella, E., Longo, V., Placidi, G., Polsinelli, M., Vessio, G. “Combining Unsupervised and Supervised Deep Learning for Alzheimer’s Disease Detection by Fractional Anisotropy Imaging.” CBMS 2023, 511–516. DOI / paper

2022

  • Castellano, G., Vessio, G. “A Deep Learning Approach to Clustering Visual Arts.” International Journal of Computer Vision, 130(11), 2590–2605. DOI / paper
  • Kaczmarek-Majer, K., Casalino, G., Castellano, G., et al., Vessio, G. “PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries.” Information Sciences, 614, 374–399. DOI / paper
  • Testi, M., Ballabio, M., Frontoni, E., Iannello, G., Moccia, S., Soda, P., Vessio, G. “MLOps: A Taxonomy and a Methodology.” IEEE Access, 10, 63606–63618. DOI / paper
  • Castellano, G., Digeno, V., Sansaro, G., Vessio, G. “Leveraging Knowledge Graphs and Deep Learning for automatic art analysis.” Knowledge-Based Systems, 248, 108859. DOI / paper
  • Moetesum, M., Diaz, M., Masroor, U., Siddiqi, I., Vessio, G. “A survey of visual and procedural handwriting analysis for neuropsychological assessment.” Neural Computing and Applications, 34, 9561–9578. DOI / paper
  • Andresini, G., Appice, A., Caforio, F.P., Malerba, D., Vessio, G. “ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection.” Expert Systems with Applications, 201, 117144. DOI / paper

2021

  • Mazzolini, D., Mignone, P., Pavan, P., Vessio, G. “An easy-to-explain decision support framework for forensic analysis of dynamic signatures.” Forensic Science International: Digital Investigation, 38, 301216. DOI / paper
  • Castellano, G., Vessio, G. “Deep learning approaches to pattern extraction and recognition in paintings and drawings: an overview.” Neural Computing and Applications, 33(19), 12263–12282. DOI / paper
  • Diaz, M., Moetesum, M., Siddiqi, I., Vessio, G. “Sequence-based dynamic handwriting analysis for Parkinson’s disease detection with one-dimensional convolutions and BiGRUs.” Expert Systems with Applications, 168, 114405. DOI / paper
  • Castellano, G., Lella, E., Vessio, G. “Visual link retrieval and knowledge discovery in painting datasets.” Multimedia Tools and Applications, 80(5), 6599–6616. DOI / paper

2020 and earlier

  • Lella, E., Vessio, G. “Ensembling complex network ‘perspectives’ for mild cognitive impairment detection with artificial neural networks.” Pattern Recognition Letters, 136, 168–174. DOI / paper
  • Castellano, G., Castiello, C., Mencar, C., Vessio, G. “Crowd Detection in Aerial Images using Spatial Graphs and Fully-Convolutional Neural Networks.” IEEE Access, 8, 64534–64544. DOI / paper
  • Castellano, G., Castiello, C., Cianciotta, M., Mencar, C., Vessio, G. “Multi-view Convolutional Network for Crowd Counting in Drone-Captured Images.” ECCV 2020 Workshops, LNCS 12538, 588–603. DOI / paper
  • Vessio, G. “Dynamic Handwriting Analysis for Neurodegenerative Disease Assessment: A Literary Review.” Applied Sciences, 9(21), 4666. DOI / paper
  • Diaz, M., Ferrer, M.A., Impedovo, D., Pirlo, G., Vessio, G. “Dynamically enhanced static handwriting representation for Parkinson’s disease detection.” Pattern Recognition Letters, 128, 204–210. DOI / paper
  • Impedovo, D., Pirlo, G., Angelillo, M.T., Vessio, G. “A Handwriting-Based Protocol for Assessing Neurodegenerative Dementia.” Cognitive Computation, 11(4), 576–586. DOI / paper
  • Angelillo, M.T., Balducci, F., Impedovo, D., Pirlo, G., Vessio, G. “Attentional Pattern Classification for Automatic Dementia Detection.” IEEE Access, 7, 57706–57716. DOI / paper
  • Impedovo, D., Pirlo, G., Vessio, G. “Dynamic Handwriting Analysis for Supporting Earlier Parkinson’s Disease Diagnosis.” Information, 9(10), 247. DOI / paper
  • Bianchi, A., Pizzutilo, S., Vessio, G. “An ASM-based Characterisation of Starvation-free Systems.” International Journal of Parallel, Emergent and Distributed Systems, 33(1), 35–51. DOI / paper

Books & selected research outputs

  • Vessio, G. Intelligenza artificiale per curiosi. Una mini-guida scientifica per tutti. Edizioni Dedalo, 2025. Publisher
  • Fanelli, N., Vessio, G., Castellano, G. WikiFragments, 2026. Dataset
  • Canistro, F., De Marinis, P., Vessio, G., Castellano, G. High-Resolution RGB Images and Corresponding Masks of Agricultural Fields, 2024. Dataset
  • Castellano, G., Digeno, V., Sansaro, G., Scaringi, R., Vessio, G. ArtGraph (Version 2.0), 2023. Dataset