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Gennaro Vessio

Associate Professor

University of Bari Aldo Moro

Italy

Research Interests

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Articles (30)

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2027

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2021

Collaborators (8)

Giovanna Castellano

Full Professor

University of Bari Aldo Moro

ITALY

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Donato Malerba

Full professor

Università degli Studi di Bari

ITALY

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Eva Cetinic

Senior Researcher / SNSF Ambizione Fellow

University of Zurich

SWITZERLAND

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Pasquale De Marinis

University of Bari Aldo Moro

ITALY

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Gianluca Zaza

IT Specialist

LUM Jean Monnet University

ITALY

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Gianvito Pio

Associate Professor

University of Bari Aldo Moro

ITALY

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Moises Diaz

Universidad de Las Palmas de Gran Canaria

SPAIN

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Ralf Krestel

Professor

ZBW - Leibniz-Informationszentrum Wirtschaft

GERMANY

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Gennaro Vessio

Research Interests

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Articles (30)

Deviation-Based Graph Neural Networks with Kolmogorov-Arnold Transformations for Multiclass Alzheimer’s Disease Classification

Towards Real-Time Drone Vision for Road Safety

Understanding How MLLMs Describe Artworks Using Token Activation Maps

WeedDiffusion: A Dual-Branch Synthetic Augmentation Framework for Weed Mapping

Integrating robotic kinematics and dynamics with online handwriting features for dysgraphia classification

KARAMEL: Knowledge-Aware Ranking for Multimodal Entity Linking in the Arts via Heterogeneous Graphs

Take a peek: Efficient encoder adaptation for few-shot semantic segmentation via LoRA

Modeling and benchmarking quantum optical neurons for efficient neural computation

A Weakly-Supervised Learning Approach for RGB Crop Detection Using UAV Imagery

UKANWeed: An Application of Kolmogorov-Arnold Networks to Weed Mapping

Unveiling Visual Features in Artwork Classification: Towards Explainable Vision Transformers in the Arts

FuzzyGNN: a graph neural network framework for enhanced fuzzy modeling

Handscribe: A gloss-free framework for sign language translation and gloss sequence generation

From segmentation to explanation: Generating textual reports from MRI with LLMs

GraphCLIP: Image-graph contrastive learning for multimodal artwork classification

Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts

Enhancing the Explainability of Neuro-Fuzzy Systems with Large Language Models: A Case Study on EEG-Based Epileptic Seizure Classification

FetalMLOps: operationalizing machine learning models for standard fetal ultrasound plane classification

Multimodal Artwork Topic Modeling via Fine-Tuned CLIP and Knowledge-Driven Prompts

I Dream My Painting: Connecting MLLMs and Diffusion Models via Prompt Generation for Text-Guided Multi-Mask Inpainting

Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy

Density-based clustering with fully-convolutional networks for crowd flow detection from drones

A Deep Learning Approach to Clustering Visual Arts

PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries

Leveraging Knowledge Graphs and Deep Learning for automatic art analysis

A survey of visual and procedural handwriting analysis for neuropsychological assessment

ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection

MLOps: A Taxonomy and a Methodology

Deep learning approaches to pattern extraction and recognition in paintings and drawings: an overview

Editorial for Special Issue “Fine Art Pattern Extraction and Recognition”

Collaborators (8)

Giovanna Castellano

Donato Malerba

Eva Cetinic

Pasquale De Marinis

Gianluca Zaza

Gianvito Pio

Moises Diaz

Ralf Krestel

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