default search action
22nd AI*IA 2023: Rome, Italy
- Roberto Basili, Domenico Lembo, Carla Limongelli, Andrea Orlandini:
AIxIA 2023 - Advances in Artificial Intelligence - XXIInd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2023, Rome, Italy, November 6-9, 2023, Proceedings. Lecture Notes in Computer Science 14318, Springer 2023, ISBN 978-3-031-47545-0
Argumentation and Logic Programming
- Cristina Tirsi, Maurizio Proietti, Francesca Toni:
ABALearn: An Automated Logic-Based Learning System for ABA Frameworks. 3-16 - Stefano Bistarelli, Carlo Taticchi:
Deriving Dependency Graphs from Abstract Argumentation Frameworks. 17-29 - Tobias Kain, Hans Tompits:
ReConf: An Automatic Context-Based Software Reconfiguration Tool for Autonomous Vehicles Using Answer-Set Programming. 30-43 - Francesca Alessandra Lisi, Gioacchino Sterlicchio:
Mining Contrast Sequential Patterns with ASP. 44-57
Ontologies
- Daniele Porello:
An Ontological Modelling of Reason-Based Preferences. 61-73 - Gian Luca Pozzato, Marco Spinnicchia:
A Defeasible Description Logic for Abduction. 74-87 - Riccardo Valentini, Eugenio Carrani, Marina Torre, Maurizio Lenzerini:
Ontology-Based Data Management in Healthcare: The Case of the Italian Arthroplasty Registry. 88-101
Planning
- Francesco Percassi, Enrico Scala, Mauro Vallati:
A Structure-Sensitive Translation from Hybrid to Numeric Planning. 105-118 - Gabriele Sartor, Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci:
Intrinsically Motivated High-Level Planning for Agent Exploration. 119-133
Natural Language Processing
- Roberto Demaria, Davide Colla, Matteo Delsanto, Enrico Mensa, Enrico Pasini, Daniele Paolo Radicioni:
Mining Argument Components in Essays at Different Levels. 137-150 - Tiziano Labruna, Sofia Brenna, Andrea Zaninello, Bernardo Magnini:
Unraveling ChatGPT: A Critical Analysis of AI-Generated Goal-Oriented Dialogues and Annotations. 151-171 - Claudiu D. Hromei, Danilo Croce, Valerio Basile, Roberto Basili:
Scaling Large Language Models to the Extreme: Neural Semantic Processing of Multiple Tasks in Italian. 172-186 - Riccardo Pozzi, Riccardo Rubini, Christian Bernasconi, Matteo Palmonari:
Named Entity Recognition and Linking for Entity Extraction from Italian Civil Judgements. 187-201
Machine Learning
- Giuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie:
CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector. 205-217 - Alessandro Betti, Gabriele Ciravegna, Marco Gori, Stefano Melacci, Kevin Mottin, Frédéric Precioso:
Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning. 218-230 - Cristina Cutajar, Josef Bajada:
Mastering the Card Game of Jaipur Through Zero-Knowledge Self-Play Reinforcement Learning and Action Masks. 231-244 - Christian Galea, Chantelle Saliba, Matthew Sacco, Mark Bugeja, Noel Buttigieg, Dylan Seychell:
Uncovering Bias in the Face Processing Pipeline: An Analysis of Popular and State-of-the-Art Algorithms Across Demographic Groups. 245-264 - Marco Dossena, Christopher Irwin, Luca Piovesan, Luigi Portinale:
A Multi-label Classification Study for the Prediction of Long-COVID Syndrome. 265-277 - Felix Schön, Hans Tompits:
PAUL-2: An Upgraded Transformer-Based Redesign of the Algorithmic Composer PAUL. 278-291
Robotics and Perception
- Matteo Vaghi, Fabio D'Elia, Augusto Luis Ballardini, Domenico Giorgio Sorrenti:
Understanding the Effect of Deep Ensembles in LiDAR-Based Place Recognition. 295-309 - Omar Ashraf Ahmed Khairy Salem, Emanuele Giacomini, Leonardo Brizi, Luca Di Giammarino, Giorgio Grisetti:
Enhancing LiDAR Performance: Robust De-Skewing Exclusively Relying on Range Measurements. 310-320 - Silvio Barra, Mirko Marras, Sondos Mohamed, Alessandro Sebastian Podda, Roberto Saia:
Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study. 321-335 - Shambel Fente Mengistu, Mara Pistellato, Filippo Bergamasco:
Embedding Shepard's Interpolation into CNN Models for Unguided Depth Completion. 336-350 - Rino Castellano, Matteo Terreran, Stefano Ghidoni:
Performance Evaluation of Depth Completion Neural Networks for Various RGB-D Camera Technologies in Indoor Scenarios. 351-364
Hybrid AI
- Damiano Azzolini, Fabrizio Riguzzi:
Inference in Probabilistic Answer Set Programming Under the Credal Semantics. 367-380 - Federico Manzella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan:
Efficient Modal Decision Trees. 381-395 - Marco D'Elia, Irene Finocchi, Maurizio Patrignani:
Clique-TF-IDF: A New Partitioning Framework Based on Dense Substructures. 396-410 - Denys Amore Bondarenko, Roger Ferrod, Luigi Di Caro:
Combining Contrastive Learning and Knowledge Graph Embeddings to Develop Medical Word Embeddings for the Italian Language. 411-424
Applications of AI
- Giovanna Castellano, Raffaele Scaringi, Gennaro Vessio:
Recognizing the Style, Genre, and Emotion of a Work of Art Through Visual and Knowledge Graph Embeddings. 427-440 - Federica Cena, Luca Console, Marta Micheli, Fabiana Vernero:
Combining Genetic Algorithms and Temporal Constraint Satisfaction for Recommending Personalized Tourist Itineraries. 441-452 - Stéfano Frizzo Stefenon, Marco Cristoforetti, Alessandro Cimatti:
Towards Automatic Digitalization of Railway Engineering Schematics. 453-466 - Vincenzo Auletta, Francesco Carbone, Diodato Ferraioli:
Election Manipulation in Social Networks with Single-Peaked Agents. 467-480 - Emily Theophilou, Cansu Koyuturk, Mona Yavari, Sathya Bursic, Gregor Donabauer, Alessia Telari, Alessia Testa, Raffaele Boiano, Davinia Hernández Leo, Martin Ruskov, Davide Taibi, Alessandro Gabbiadini, Dimitri Ognibene:
Learning to Prompt in the Classroom to Understand AI Limits: A Pilot Study. 481-496
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.