Ital-IA-TW 2025
Thematic Workshops at Ital-IA 2025

Table of Contents

Summary: There were 130 papers submitted for peer-review to this workshop. Out of these, 104 papers were accepted for this volume. All of them are short papers.

Workshop 1: Responsible and Trustworthy AI

• End-to-end explainability of machine learning pipelines with decision predicate graphs: a financial scenario case study
  Leonardo Arrighi, Matheus Camilo Da Silva, Sylvio Barbon Junior
• Why does AI seem to have a problem with women?
  Antonio Rodà, Silvana Badaloni
• Is Underrepresentation overemphasized? A study of data bias and algorithmic fairness
  Marina Ceccon, Giandomenico Cornacchia, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
• FrameSAI: a three-layer framework to create symbiotic AI systems
  Miriana Calvano, Antonio Curci, Rosa Lanzilotti, Antonio Piccinno
• Research on trustworthy and secure AI at the RETIS Lab, SSSUP
  Giulio Rossolini, Wesam Abbasi, Federico Nesti, Andrea Saracino, Alessandro Biondi, Giorgio Buttazzo
• Theoretical basis and computational complexity of semifactual explanations
  Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Reza Shahbazian, Irina Trubitsyna
• Towards trustworthy AI in the public transport domain
  Giuseppe Riccardo Leone, Andrea Carboni, Giulio Del Corso, Silvia Gravili, Davide Moroni, Maria Antonietta Pascali, Sara Colantonio
• Evaluating the evaluators: trust in adversarial robustness tests
  Antonio Emanuele Cinà, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
• Responsible and reliable AI @ CINI AI-IS
  Piercosma Bisconti Lucidi, Lidia Marassi, Stefano Marrone, Domenico Bloisi, Daniele Nardi, Carlo Sansone
• Advancing trustworthy in AI: mission and research lines at the TRAIL Lab
  Stefano Buzi, Simona Cacace, Andrea Loreggia, Nadia Maccabiani, Giorgio Pedrazzi, Mattia Savardi, Alberto Signoroni, Laura Zoboli

Workshop 2: AI and Sustainability

• Enhancing safety and explainability of reinforcement learning agents for environmental monitoring tasks
  Luca Marzari, Francesco Trotti, Francesco Dal Santo, Amirhossein Zhalehmehrabi, Celeste Veronese, Davide Villaboni, Federico Bianchi, Daniele Meli, Alberto Castellini, Alessandro Farinelli
• Towards a sustainable future: AI-powered solutions in agriculture and green energy
  Matteo Tortora, Giulia Romoli, Valerio Guarrasi, Rosa Sicilia, Francesco Conte, Federico Silvestro, Paolo Soda
• Applications of deep learning super-resolution methods for coastal ocean modelling
  Federica Adobbati, Lorenzo Bonin, Gianpiero Cossarini, Valeria Di Biagio, Fabio Giordano, Paolo Lazzari, Luca Manzoni, Stefano Piani, Marco Reale, Stefano Salon, Cosimo Solidoro, Stefano Querin
• AI for sustainability should be sustainable in its own: results from project FAIR-Spoke 9
  Luigi Pontieri, Pietro Sabatino, Francesco Scala
• Explaining reinforcement learning policies for power grid operations
  Luca Marzari, Francesco Leofante, Enrico Marchesini
• Advancing green and fair AI: a research perspective on environmental and social sustainability
  Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio
• Advancing sustainable AI: research perspectives from the CINI-AIIS Lab at Federico II
  Antonio Galli, Antonino Ferraro, Vincenzo Moscato, Lidia Marassi, Carlo Sansone, Stefano Marrone, Antonio Elia Pascarella
• Requirements analysis in ARCAD-IA project
  Pietro Patrizio Ciro Aucelli, Francesco Camastra, Angelo Ciaramella, Emanuel Di Nardo, Alessio Ferone, Antonio Maratea, Raffaele Montella, Antonino Staiano
• Multi-objective particle swarm optimization for environmental risk/benefit analysis with pre-assignment strategy
  Luca Puzzoli, Gabriele Sbaiz, Luca Manzoni
• AI4Materials: a manifesto for AI-driven scientific discovery in materials science
  Eros Radicchi, Usman Syed, Federico Cunico, Michele Cassetta, Uzair Khan, Paolo Marone, Alberto Scarsini, Filiberto Semenzin, Francesco Enrichi, Francesco Setti, Adolfo Speghini, Marco Cristani

Workshop 3: AI for Public Administration

• AI for public administrations: research at UNIFI DISIT Lab
  Pierfrancesco Bellini, Stefano Bilotta, Enrico Collini, Marco Fanfani, Luciano Alessandro Ipsaro Palesi, Paolo Nesi, Gianni Pantaleo
• Small Language Models for Public Administration: Towards Sustainable, Trustworthy, and Transparent AI Systems
  Francesco Recanati
• Enabling research collaboration with AI: the BI4E experience with large language models
  Gianluca Amato, Marcello Costantini, Luca Di Vita, Francesca Ferri, Paolo Melchiorre, Maria Chiara Meo, Francesca Scozzari, Matteo Vitali
• Neural technologies for predictive analytics in tourism governance processes
  Natalia Pichierri, Daniele Margiotta, Andriy Shcherbakov, Danilo Croce, Roberto Basili
• AI-supported certification of family-friendly organizations
  Davide Vandelli, Sara Tonelli, Pietro Marzani, Alessio Palmero Aprosio
• Towards an ontology network for Italian educational institutions
  Luigi Asprino, Aldo Gangemi, David Grassi, Giorgia Lodi, Nicola Mallogi, Elettra Morini, Maria Teresa Sagri, Eniko Tolvay
• Generative artificial intelligence in public administration: an integrated framework for regulatory compliance, ethical governance, and digital transformation
  Gaetano Riccio
• Prediction of unconstitutional index of Italian bills
  Monica Palmirani, Michele Corazza, Generoso Longo, Salvatore Sapienza, Pier Francesco Bresciani, Faria Ferooz

Workshop 4: AI for Health and Medicine

• Detecting anomalies in healthcare processes: a k-NN graph-based approach
  Iuliana Malina Grigore, Azin Moradbeikie, Sylvio Barbon Junior
• Advances in AI for health and medicine @ Computer-Human Interaction Laboratory (CHILab)
  Germano Ammirata, Salvatore Contino, Luca Cruciata, Irene Siragusa, Roberto Pirrone
• Lively Ageing: an integrated system of services and technologies to enhance the well-being of elderly
  Martina Casari, Giovanni Bonisoli, Laura Po
• Modeling and analyzing non-IID data in federated learning based ECG arrhythmia detection scenarios
  Davide Cantoro, Angela-Tafadzwa Shumba, Gianluigi Semeraro, Mattia Cotardo, Davide Rollo, Teodoro Montanaro, Ilaria Sergi, Massimo De Vittorio, Luigi Patrono
• SICURA: a symbiotic AI system to support pharmacological management
  Raffaele Manna, Giulia Speranza, Maria Pia Di Buono, Gianmarco Troia, Giovanni Vizzini
• Federated approach for glioblastoma radiogenomic methylation classification
  Eriberto Andrea Franchi, Elena De Momi, Alberto Redaelli
• Artificial intelligence in digital medicine across biomedical signal processing and medical imaging
  Simone Bove, Rosanna Ferrara, Martino Giaquinto, Gennaro Percannella, Alessia Saggese, Mattia Sarno, Francesco Tortorella, Mario Vento
• Feature importance via Shapley values in random forests for sleep apnea and hypopnea detection
  Giulia Cisotto, Shayan Sharifi, Shahla Sadeghzadehdarandash, Leonardo Badia
• Transparent machine learning for type 1 diabetes diagnosis from gene expression data
  Rosa Carotenuto, Viviana Pentangelo, Antonio Della Porta, Fabio Palomba
• Towards resilient ocular anomaly detection for health monitoring
  Giovanni Mancini, Antonio Visconti, Luigi Libero Lucio Starace, Sergio Di Martino, Daniel Riccio
• Transforming healthcare with AI: the work of CINI-AIIS at Federico II University
  Mariano Barone, Domenico Benfenati, Salvatore Capuozzo, Giovanni Maria De Filippis, Adriano De Simone, Simona Fioretto, Kyriakos Kristofer Georgiou, Michela Gravina, Julian Gortz, Lidia Marassi, Stefano Marrone, Enea Vincenzo Napolitano, Valeria Panzetta, Giuseppe Pontillo, Giuseppe Riccio, Antonio Romano, Cristiano Russo, Carmela Russo, Cristian Tommasino, Mariano Sirignano, Konstantinos Siettos, Elio Masciari, Antonio Maria Rinaldi, Paolo Antonio Netti, Vincenzo Moscato, Carlo Sansone
• Health-related NLP activities at IDSIA
  Fabio Rinaldi, Andrea Franchini, Roberta Noseda, Oscar William Lithgow Serrano, Joseph Cornelius, Lorenzo Ruinelli, Amos Colombo, Sandra Mitrovic, Alessandro Ceschi
• HEMERA: H&E-to-HER2 encoding for morphology-enhanced region annotation
  Daniel Riccio, Francesco Longobardi, Mara Sangiovanni, Maria Frucci, Nadia Brancati, Mariacarla Staffa, Lorenzo D'Errico, Antonio Ciccarelli
• Leveraging AI for signal and image analysis in medicine and health
  Marco Cafiso, Andrea Carboni, Claudia Caudai, Sara Colantonio, Francesco Conti, Mario D'Acunto, Said Daoudagh, Giulio Del Corso, Danila Germanese, Giacomo Ignesti, Gianmarco Lazzini, Giuseppe Riccardo Leone, Massimo Magrini, Davide Moroni, Francesca Pardini, Maria Antonietta Pascali, Paolo Paradisi, Federico Volpini
• Explainability in breast cancer detection
  Ijaz Ahmad, Alessia Amelio, Daniela Cardone, Eliezer Zahid Gill, Francesca Scozzari
• Understanding and extrapolating from healthcare data through machine learning: a case study on a COVID-19 Dataset
  Michele Rispoli, Francesco Salton, Andrea Rocca, Paola Confalonieri, Marco Confalonieri, Alberto d'Onofrio, Luca Manzoni
• Automatic radiology report generation: evaluating the alignment of NLP metrics with radiologist assessment
  Andrea Santomauro, Ivan Gallesio, Xhorxhi Kaci, Giorgio Leonardi, Luigi Portinale
• A comparative study of speech-to-text for Italian
  Michela Quadrini, Michele Loreti, Mattia Luciani, Ivano Corradetti, Carboni Matteo, Stefano Vagnoni
• Enhancing medication safety with LLMs
  Gabriele De Vito, Filomena Ferrucci, Athanasios Angelakis
• Next-gen health: from multimodal AI to foundation models
  Rosa Sicilia, Fatih Aksu, Alessandro Bria, Alice Natalina Caragliano, Camillo Maria Caruso, Ermanno Cordelli, Arianna Francesconi, Valerio Guarrasi, Giulio Iannello, Guido Manni, Massimiliano Mantegna, Giustino Marino, Daniele Molino, Elena Mulero Ayllon, Filippo Ruffini, Linlin Shen, Matteo Tortora, Paolo Soda
• UniCas research initiatives in medicine and healthcare
  Gabriele Lozupone, Marco Cantone, Emanuele Nardone, Cesare Davide Pace, Ciro Russo, Alessandro Bria, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
• MediMint: medical imaging and multimodal intelligence laboratory
  Alberto Signoroni, Mattia Savardi
• Improving medical code classification for death certificates using ontology-adapted contrastive loss in BERT models
  Kevin Roitero, Davide Volpi, Riccardo Lunardi, Mihai Horia Popescu, Vincenzo Della Mea
• Some research directions for multi-agent systems in medicine and health
  Vincenzo Auletta, Francesco Cauteruccio, Diodato Ferraioli, Grazia Ferrara
• From rules to reports: enhancing diabetes prediction interpretability with anchor and LLMs
  Francesco Festa, Antonio Della Porta, Viviana Pentangelo, Fabio Palomba
• AI-driven applications for diagnostic, clinical decision support and prevention in cardiology, orthopedics, and oncology
  Carmen Guzman Garcia, Monica Mordonini, Stefano Cagnoni
• AI and data science research in life science, system biology and medicine
  Alessio Ansuini, Alberto Cazzaniga, Edith Natalia Villegas Garcia, Michele Alessi, Federico Barone, Stefano Cozzini, Francesca Cuturello, Fiorella Fabris, Valerio Piomponi, Lucrezia Valeriani, Ruggero Lot, Marco Prenassi

Workshop 5: AI for Industry

• Efficient transformer-based identification of defects in fasteners
  Luigi Portinale, Giorgio Leonardi, Stefania Montani, Simone Garau, Guido Noce, Mario Brumini, Enrico Ottaviano
• An analysis of vision-language models for fabric retrieval
  Francesco Giuliari, Asif Khan Pattan, Mohamed Lamine Mekhalfi, Fabio Poiesi
• Egocentric human-object interaction in industrial scenarios: a case study
  Marco Moltisanti, Ketty Cantone, Antonino Lopes, Emanuele Ragusa, Rosario Leonardi, Francesco Ragusa, Antonino Furnari, Giovanni Maria Farinella
• Spatial understanding for industry
  Daniele Di Mauro, Francesco Ragusa, Antonino Furnari, Giovanni Maria Farinella
• AI for industry at FBK
  Alessandro Cimatti, Fabio Antonelli, Luisa Bentivogli, Marco Cristoforetti, Andrea Micheli, Fabio Poiesi, Fabio Remondino, Angelo Susi, Stefano Tonetta
• AI for environmental, energy, and IoT applications: UniCas industrial research highlights
  Mario Molinara, Alessandro Bria, Domenico Capriglione, Tiziana D'Alessandro, Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Fabrizio Marignetti, Claudio Marrocco, Alessio Miele, Filippo Milano, Hamza Mustafa, Vincenzo Rega, Alessandra Scotto di Freca, Luca Cicala, Sara Parrilli, Mariano Focareta, Giuseppe Meoli, Michele Vitelli, Carmine Bourelly, Andrea Amodei
• Bridging AI and industry: research and innovation from the CINI-AIIS Lab at Federico II University
  Antonio Galli, Flora Amato, David Carlini, Alessandro Del Prete, Sofia Dutto, Narendra Patwardhan, Stefano Marrone, Vincenzo Moscato, Gabriele Piantadosi, Carlo Sansone, Marco Valle
• The SmarTwin project, an intelligent digital supply chain twin
  Pietro Catalano, Angelo Ciaramella, Pietro D’Ambrosio, Aniello De Prisco, Michele Di Capua, Luigi Ferraro, Salvatore Moscariello, Pasquale Perillo
• An agentic AI for a new paradigm in business process development
  Mohammad Azarijafari, Luisa Mich, Michele Missikoff
• Reasoning in the financial space with the vadalog system
  Teodoro Baldazzi, Luigi Bellomarini, Emanuel Sallinger
• MYCAMPANIA.TRAVEL: leveraging generative AI to enhance digital travel experiences
  Aniello Somma, Sergio Di Meglio, Fabio Scippacercola, Ermanno Battista, Sergio Di Martino, Luigi Libero Lucio Starace
• AI and tourism: a chatbot for small and medium enterprises in the tourism sector
  Stefano Bistarelli, Marco Cuccarini
• AI-VaS: empowering edge video analytics with cloud-based services
  Bruno Vento, Cristian Cerasuolo, Andrea Vincenzo Ricciardi, Domenico Rocco, Stefano Saldutti, Antonio Vitale
• Renewable energy management in industry using AI and system simulation
  Behzad Pirouz, Francesca Guerriero
• Automatic positioning of AI microservices on NextG networks to support interactive holograms
  Martina Di Bratto, Antonio Origlia, Jaime Llorca, Andrea Detti, Alessandro Mauro, Marco Grazioso, Vincenzo Norman Vitale, Valentina Russo, Azzurra Mancini, Alessandro Perrino, Nicholas Napolitano, Giovanni Della Corte, Antonia Maria Tulino, Sergio Piane, Margherita Tennirelli

Workshop 6: AI for Cybersecurity

• Empirical quantification of spurious correlations in malware detection
  Bianca Perasso, Ludovico Lozza, Andrea Ponte, Luca Demetrio, Luca Oneto, Fabio Roli
• Learning to explain cyberattacks: insights from random forest and decision predicate graphs
  Eron Ponce Pereira, Azin Moradbeikie, Bruno Bogaz Zarpelão, Sylvio Barbon Junior
• Federated hyperdimensional ensembles for mobile malware detection
  Andrea Augello, Alessandra De Paola, Giuseppe Lo Re, Gioacchino Zangara
• Towards explainability framework for cybersecurity domain: a case study using NER
  Stefano Silvestri, Emanuele Damiano, Raffaele Guarasci, Mario Ciampi
• A concept drift stream generator for intrusion detection systems
  Gabriele Nicolò Costa, Alessandra De Paola, Salvatore Drago, Pierluca Ferraro, Giuseppe Lo Re
• Causal prototype attention classifier: an interpretable model for credit card fraud detection under extreme class imbalance
  Claudio Giusti, Mirko Casu, Luca Guarnera, Sebastiano Battiato
• Constructing cryptographic primitives with evolutionary computation and cellular automata
  Rocco Ascone, Firas Ben Ramdhane, Luca Manzoni, Giuliamaria Menara, Gloria Pietropolli
• Large language models in the software supply chain: challenges and opportunities
  Giacomo Benedetti, Luca Caviglione, Carmela Comito, Daniela Gallo, Alberto Falcone, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, Ettore Ritacco, Antonino Rullo
• The BullyBuster Research Center: a multidisciplinary approach to digital and social violence
  Giulia Orrù, Guido Colaiacovo, Sara Concas, Antonio Galli, Vincenzo Gattulli, Michela Gravina, Stefano Marrone, Marco Micheletto, Wanda Nocerino, Angela Procaccino, Giovanni Puglisi, Lucia Sarcinella, Enrico Santoro, Grazia Terrone, Alessandro Valenti, Donatella Curtotti, Donato Impedovo, Gian Luca Marcialis, Carlo Sansone
• Artificial intelligence in cybersecurity: activities of the CINI-AIIS Lab at University of Naples Federico II
  Roberto Canonico, Annalisa Navarro, Simon Pietro Romano, Giancarlo Sperlì, Andrea Vignali

Workshop 7: AI and Robotics

• Intelligent drones with vision technology for sustainable weed mapping in precision agriculture
  Pasquale De Marinis, Gennaro Vessio, Giovanna Castellano
• Spherical vision for mobile robotics
  Marco La Cascia, Liliana Lo Presti
• Investigating the mechanisms of embodied intelligence with evolvable modular soft robots
  Eric Medvet, Giorgia Nadizar, Michel El Saliby, Francesco Rusin, Berfin Sakallioglu
• I-BOAT: an autonomous sailboat to monitor the state of the seas
  Cosimo Distante, Vishali Mankina, Andre P.D. Araujo, Luiz Marcos Garcia Goncalves, Esteban Clua, Arturo Argentieri
• Evolving roles of intelligent robots in social and industrial domains
  Giuseppe De Simone, Pasquale Foggia, Francesco Rosa, Alessia Saggese, Mario Vento
• SISTER: social robots to support biopsychosocial frailty
  Vincenzo Solfrizzi, Claudia Chiapparino, Giovanna Castellano, Berardina Nadja De Carolis, Davide Lofrese, Giuseppe Palestra, Aurora Toma, Loredana Perla, Stefania Massaro, Mariateresa Santacroce, Giuseppe De Simone, Alessia Saggese, Mario Vento

Workshop 8: Generative AI

• A methodological approach for applications of generative AI to support students and teachers
  Davide Ponzini, Giovanni Adorni, Daniele D’Agostino, Giorgio Delzanno, Giovanna Guerrini
• Geometry, topology and mechanistic interpretability of large scale AI models
  Alessio Ansuini, Lorenzo Basile, Federica Bazzocchi, Matteo Biagetti, Alberto Cazzaniga, Stefano Cozzini, Francesca Cuturello, Diego Doimo, Yuri Gardinazzi, Ruggero Lot, Francesco Ortu, Emanuele Panizon, Valerio Piomponi, Tommaso Rodani, Alessandro Serra, Niccolò Tosato, Lucrezia Valeriani
• Towards sustainable computation: synergizing LLM heat recovery and algorithmic trading for energy-efficient AI systems
  Ivan Letteri, Pierpaolo Vittorini, Tamsir Jobe
• Prompt engineering approaches for working with biomedical knowledge graphs through LLMs
  Marco Mesiti, Emanuele Cavalleri, Matteo Castagna, Paolo Perlasca, Darya Shlyk
• Improving LLM-generated code via genetic improvement: a summary of recent advances
  Giovanni Pinna, Damiano Ravalico, Luigi Rovito, Luca Manzoni, Andrea De Lorenzo
• AI, spot me! Multimodal models in the gym
  Gaetano Dibenedetto, Elio Musacchio, Marco Polignano, Pasquale Lops
• Generative AI across modalities: insights from our research on domain-aware content generation
  Giovanna Castellano, Emanuele Colonna, Nicola Fanelli, Lucrezia Laraspata, Ivan Rinaldi, Alberto Gaetano Valerio, Gennaro Vessio
• Medicine without boundaries: generative AI for translating medical data across modalities
  Valerio Guarrasi, Francesco Di Feola, Giulio Ianello, Irene Iele, Linlin Shen, Massimiliano Mantegna, Daniele Molino, Elena Mulero Ayllon, Ludovica Pompilio, Aurora Rofena, Marco Salmè, Rosa Sicilia, Matteo Tortora, Paolo Soda
• Prompting the future: educator competencies and case-based innovation for GenAI in higher education
  Giovanni Adorni, Ilaria Torre, Gianni Vercelli, Daniele Zolezzi
• SAI4EO: generative AI for Earth observation tasks
  Nicolò Taggio, Elio Musacchio, Pierpaolo Basile, Flavio D'Ippolito, Domenico Monaco, Nicola Nicastro, Marco Polignano, Lucia Siciliani, Giovanni Semeraro
• Assessing large multimodal models on complex technical and procedural documents
  Roberto Zanoli, Alessandro Dal Pozzo, Alberto Maria Matassoni, Manuela Speranza, Ravi Kiran Chikkala, Magnini Bernardo
• Generative AI: developments, applications, and responsible practices
  Alberto Moccardi, Egidia Cirillo, Cristina Davino, Mattia Fonisto, Francesco Gargiulo, Rajib Chandra Ghosh, Ojasvi Gupta, Rajesh Jaiswal, Roberto La Rovere, Lidia Marassi, Zahida Mashaallah, Narendra Patwardhan, Gian Marco Orlando, Domenico Benfenati, Giovanni Maria De Filippis, Antonio Elia Pascarella, Diego Russo, Cristiano Russo, Cristian Tommasino, Stefano Marrone, Flora Amato, Antonio Maria Rinaldi, Vincenzo Moscato, Carlo Sansone
• Teaching with Generative AI: Ethical Human-AI Co-Creation as an Innovative Legal Education Methodology
  Chiara Gallese
• Demystifying Generative AI: A Pedagogical Approach
  Emanuele Ballarin, Francesco Giacomarra, Andrea Mecchina, Nicholas Andrea Pearson
• Adaptation, automated feedback, engagement, and effectiveness in learning data science: a summary of five years of research
  Pierpaolo Vittorini, Ivan Letteri, Tamsir Jobe
• Evaluating large language models on Italian tasks
  Bernardo Magnini, Roberto Zanoli, Michele Resta, Martin Cimmino, Paolo Albano, Marco Madeddu, Viviana Patti

Workshop 9: AI, Misinformation and Disinformation

• Misinformation and disinformation in AI: the PICUS Lab experience
  Lidia Marassi, Narendra Patwardhan, Stefano Marrone, Carlo Sansone
• Beyond binary classification: ranking for information access in misinformation contexts
  David La Barbera, Gian Carlo Milanese, Georgios Peikos, Gabriella Pasi, Marco Viviani