| 2025 | ECAI | An Algebraic View of MAP Inference in Probabilistic Answer Set Programs. | Damiano Azzolini, Giuseppe Mazzotta, Francesco Ricca, Fabrizio Riguzzi |
| 2025 | IJCAI | Most Probable Explanation in Probabilistic Answer Set Programming. | Damiano Azzolini, Giuseppe Mazzotta, Francesco Ricca, Fabrizio Riguzzi |
| 2025 | KR | A Novel Framework for Reasoning over Optimization Problems in Probabilistic Answer Set Programming. | Damiano Azzolini, Giuseppe Mazzotta, Francesco Ricca, Fabrizio Riguzzi |
| 2024 | ICCCN | A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System. | Alice Bizzarri, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian |
| 2024 | UAI | Inference in Probabilistic Answer Set Programs with Imprecise Probabilities via Optimization. | Damiano Azzolini, Fabrizio Riguzzi |
| 2023 | ICLP | Link Prediction in Knowledge Graphs with Probabilistic Logic Programming: Work in Progress. | Damiano Azzolini, Elisabetta Gentili, Fabrizio Riguzzi |
| 2023 | ILP | Regularization in Probabilistic Inductive Logic Programming. | Elisabetta Gentili, Alice Bizzarri, Damiano Azzolini, Riccardo Zese, Fabrizio Riguzzi |
| 2022 | ICLP | Semantics for Hybrid Probabilistic Logic Programs with Function Symbols: Technical Summary. | Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma |
| 2022 | ILP | Learning the Parameters of Probabilistic Answer Set Programs. | Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi |
| 2022 | LPNMR | Statistical Statements in Probabilistic Logic Programming. | Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi |
| 2020 | ECAI | Quantum Weighted Model Counting. | Fabrizio Riguzzi |
| 2020 | ICLP | An Analysis of Gibbs Sampling for Probabilistic Logic Programs. | Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma |
| 2018 | ILP | Modeling Bitcoin Protocols with Probabilistic Logic Programming. | Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma, Elena Bellodi, Riccardo Zese |
| 2018 | ILP | Learning the Parameters of Deep Probabilistic Logic Programs. | Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma |
| 2018 | ILP | Probabilistic Inference in SWI-Prolog. | Fabrizio Riguzzi, Jan Wielemaker, Riccardo Zese |
| 2017 | ILP | A Distribution Semantics for non-DL-Safe Probabilistic Hybrid Knowledge Bases. | Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese |
| 2017 | ILP | Deep Probabilistic Logic Programming. | Arnaud Nguembang Fadja, Evelina Lamma, Fabrizio Riguzzi |
| 2016 | ECAI | Scaling Structure Learning of Probabilistic Logic Programs by MapReduce. | Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota, Evelina Lamma |
| 2016 | EKAW | Probabilistic Inductive Logic Programming on the Web. | Fabrizio Riguzzi, Riccardo Zese, Giuseppe Cota |
| 2016 | ILP | Probabilistic Constraint Logic Theories. | Marco Alberti, Elena Bellodi, Giuseppe Cota, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese |
| 2015 | ICLP | An Abductive Framework for Datalog± Ontologies. | Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota |
| 2015 | ICLP | The Distribution Semantics is Well-Defined for All Normal Programs. | Fabrizio Riguzzi |
| 2015 | IJCAI | Reasoning with Probabilistic Ontologies. | Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese |
| 2015 | IJCAI | Logic Programming Techniques for Reasoning with Probabilistic Ontologies. | Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi |
| 2015 | ILP | Distributed Parameter Learning for Probabilistic Ontologies. | Giuseppe Cota, Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma |
| 2013 | ILP | Learning the Parameters of Probabilistic Description Logics. | Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese |
| 2012 | ISAIM | Constraint and Optimization techniques for supporting Policy Making. | Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli |
| 2011 | ILP | Learning the Structure of Probabilistic Logic Programs. | Elena Bellodi, Fabrizio Riguzzi |
| 2011 | ILP | The PITA System for Logical-Probabilistic Inference. | Fabrizio Riguzzi, Terrance Swift |
| 2010 | ICLP | Tabling and Answer Subsumption for Reasoning on Logic Programs with Annotated Disjunctions. | Fabrizio Riguzzi, Terrance Swift |
| 2010 | ILP | Approximate Inference for Logic Programs with Annotated Disjunctions. | Stefano Bragaglia, Fabrizio Riguzzi |
| 2010 | KSEM | Probabilistic Declarative Process Mining. | Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma |
| 2008 | BPM | Checking Compliance of Execution Traces to Business Rules. | Federico Chesani, Paola Mello, Marco Montali, Fabrizio Riguzzi, Maurizio Sebastianis, Sergio Storari |
| 2008 | ICLP | Inference with Logic Programs with Annotated Disjunctions under the Well Founded Semantics. | Fabrizio Riguzzi |
| 2007 | BPM | Inducing Declarative Logic-Based Models from Labeled Traces. | Evelina Lamma, Paola Mello, Marco Montali, Fabrizio Riguzzi, Sergio Storari |
| 2007 | ILP | Applying Inductive Logic Programming to Process Mining. | Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Sergio Storari |
| 2006 | ILP | ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions. | Fabrizio Riguzzi |
| 2005 | IDA | Bayesian Networks Learning for Gene Expression Datasets. | Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi, Sergio Storari, Stefano Volinia |
| 2004 | ECAI | Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm. | Evelina Lamma, Fabrizio Riguzzi, Sergio Storari |
| 2004 | ILP | Learning Logic Programs with Annotated Disjunctions. | Fabrizio Riguzzi |
| 2002 | CBMS | An Intelligent Medical System for Mocrobiological Data Validation and Nosocomial Infection Surveillance. | Evelina Lamma, G. Modestino, Fabrizio Riguzzi, Sergio Storari, Paola Mello, Anna Nanetti |
| 1999 | FlAIRS | Adopting an Object-Oriented Data Model in Inductive Logic Programming. | Michela Milano, Andrea Omicini, Fabrizio Riguzzi |
| 1998 | AIMSA | Learning Multiple Predicates. | Antonis C. Kakas, Evelina Lamma, Fabrizio Riguzzi |
| 1998 | ECAI | Integrating Abduction and Induction. | Fabrizio Riguzzi |
| 1997 | ILP | Learning with Abduction. | Antonis C. Kakas, Fabrizio Riguzzi |