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Nicolò Navarin

University of Padova

Italy

Research Interests

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Professors in Italy Professors in Artificial Intelligence Artificial Intelligence professors in Italy

Articles (21)

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2026

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2020

Collaborators (8)

Matteo Zavatteri

Researcher

Fondazione Bruno Kessler

ITALY

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Erik Gadotti

professore a contratto

Università degli Studi di Torino

ITALY

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Francesco Giannini

Ricercatori a tempo determinato

University of Pisa

ITALY

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Roberto Confalonieri

Associate Professor

University of Padova

ITALY

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Stefano Fioravanti

Researcher

Charles University

CZECH REPUBLIC

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Silvia Gabrielli

Senior researcher

Fondazione Bruno Kessler

ITALY

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Vangelis Sakkalis

Research Director

Foundation for Research and Technology-Hellas

GREECE

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ALESSIO MICHELI

Full Professor

University of Pisa

ITALY

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Nicolò Navarin

Research Interests

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Articles (21)

Iterative In-Context Learning to Enhance LLMs Abstract Reasoning: The Case-Study of Algebraic Tasks

Identifying critical areas for safer mental health chatbot interactions: a eDelphi study on high-risk content monitoring

Informed machine learning for complex data

Involving Girls in STEM: A Study on Gender Bias from Schooling to University

Advances in artificial neural networks, machine learning and computational intelligence

Enriching Graph Topology Representations with Line Graph Transformations

Local Learning with Boosting-based Backpropagation-Free Graph Neural Networks

Neuro Symbolic AI and Complex Data

On the application of neural networks for structured domains to fMRI data

Ring-constrained Molecular Graph Generation with Diffusion Models

The Unreasonable Effectiveness of Randomized Representations in Online Continual Graph Learning

Categorical Explaining Functors: Ensuring Coherence in Logical Explanations

Artificial Intelligence Methods and Digital Intervention Strategies for Predicting and Managing Chronic Obstructive Pulmonary Disease Exacerbations: An Umbrella Review

Chatbot-Based Version of a World Health Organization-Validated Intervention for Stress Management in Patients With Breast Cancer (Self-Help Plus): Protocol for a Pilot Feasibility Study

World Health Organization Evidence-Based Self-Help Plus Intervention for Stress Management via Chatbot: Protocol for Adaptation to a Tech-Enabled Model

Detecting Deception Through Linguistic Cues: From Reality Monitoring to Natural Language Processing

Enhancing Explainability, Robustness, and Autonomy: A Comprehensive Approach in Trustworthy AI

Enhancing Predictive Process Monitoring on Small-Scale Event Logs Using LLMs

Position Paper: A new Perspective on Online Continual Learning

RGCVAE: relational graph conditioned variational autoencoder for molecule design

Multi-task learning for the prediction of wind power ramp events with deep neural networks

Collaborators (8)

Matteo Zavatteri

Erik Gadotti

Francesco Giannini

Roberto Confalonieri

Stefano Fioravanti

Silvia Gabrielli

Vangelis Sakkalis

ALESSIO MICHELI

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