Fwd: Intelligenza Artificiale Vol. 19, No. 2, August 1, 2025 is now available online

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Fabrizio Riguzzi

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Sep 1, 2025, 3:01:16 AM (7 days ago) Sep 1
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Cari soci,
è uscito il secondo numero del 2025 di Intelligenza Artificiale.
Include una special issue su Neurosymbolic AI con articoli estesi dall'evento HYDRA 2024.

Cari saluti,
Fabrizio Riguzzi

---------- Forwarded message ---------
Da: Intelligenza Artificiale <nor...@sagepub.com>
Date: mer 20 ago 2025 alle ore 07:57
Subject: Intelligenza Artificiale Vol. 19, No. 2, August 1, 2025 is now available online
To: <fabrizio...@unife.it>


Table of Contents Alert
Intelligenza Artificiale- Volume: 19, Number: 2 (August 2025)

Special Issue: Featuring Extended Papers from HYDRA 2024

Editorial
Towards Neurosymbolic AI: Hybrid Models for Coupling Deductive and Inductive Reasoning, Special Issue Featuring Extended Papers from HYDRA 2024
Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio and Giorgio Terracina
Special Issue Papers
Program Synthesis Using Inductive Logic Programming for the Abstraction and Reasoning Corpus
Filipe Marinho Rocha, Inês Dutra, Vítor Santos Costa and Luís Paulo Reis
Evaluating Inductive Reasoning and Programming Capabilities of Large Language Models With The One-Dimensional Abstract Reasoning Corpus
Cédric Mesnage, Xiaoyang Wang, Hang Dong and Aishwaryaprajna
Automated Curriculum Analysis Using Large Language Models and Knowledge Graphs
Paulina Gacek and Weronika T Adrian
Research Articles
Regular Issue
Predicting Long-COVID Sequelae: A Multi-Label Classification Approach
Mattia Bellan, Annalisa Chiocchetti, Marco Dossena, Christopher Irwin, Luca Piovesan and Luigi Portinale
QuAcc: Using Quantification to Predict Classifier Accuracy Under Prior Probability Shift
Lorenzo Volpi, Alejandro Moreo and Fabrizio Sebastiani
A Modified SOM Algorithm Using Learning by Epoch and Higher Order Statistics
F Saadi, S Kharfouchi and A Hebboul
An Iterative Multi-aspect term Extraction and Polarity Detection Approach Based on spanBERT for Aspect-based Sentiment Analysis
Abubakar M Ashir and Mohammed Abdulghani Taha

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