All Stories

  1. Reasoning on Datalog± Ontologies with Abductive Logic Programming

    Article • Fundamenta Informaticae, March 2018, IOS Press

    Fabrizio Riguzzi, PhD Riccardo Zese, Marco Gavanelli

  2. cplint on SWISH: Probabilistic Logical Inference with a Web Browser

    Article • Intelligenza Artificiale, April 2017, IOS Press

    Fabrizio Riguzzi, PhD Riccardo Zese

  3. Abductive Logic Programming for Normative Reasoning and Ontologies

    Article • January 2017, Springer Science + Business Media

    Fabrizio Riguzzi, PhD Riccardo Zese

  4. A survey of lifted inference approaches for probabilistic logic programming under the distribution semantics

    Article • International Journal of Approximate Reasoning, January 2017, Elsevier

    Fabrizio Riguzzi, PhD Riccardo Zese

  5. Tableau reasoning for description logics and its extension to probabilities

    Article • Annals of Mathematics and Artificial Intelligence, October 2016, Springer Science + Business Media

    Fabrizio Riguzzi, PhD Riccardo Zese

  6. The distribution semantics for normal programs with function symbols

    Article • International Journal of Approximate Reasoning, October 2016, Elsevier

    Fabrizio Riguzzi

  7. A web system for reasoning with probabilistic OWL

    Article • Software Practice and Experience, May 2016, Wiley

    Fabrizio Riguzzi, PhD Riccardo Zese

  8. Statistical relational learning for workflow mining

    Article • Intelligent Data Analysis, April 2016, IOS Press

    Fabrizio Riguzzi

  9. Distributed Parameter Learning for Probabilistic Ontologies

    Article • January 2016, Springer Science + Business Media

    Fabrizio Riguzzi, PhD Riccardo Zese

  10. Probabilistic Logical Inference on the Web

    Article • January 2016, Springer Science + Business Media

    Fabrizio Riguzzi, PhD Riccardo Zese

  11. Probabilistic Hybrid Knowledge Bases Under the Distribution Semantics

    Article • January 2016, Springer Science + Business Media

    Fabrizio Riguzzi, PhD Riccardo Zese

  12. Probabilistic logic programming on the web

    Article • Software Practice and Experience, December 2015, Wiley

    Fabrizio Riguzzi, PhD Riccardo Zese

  13. Probabilistic Description Logics under the distribution semantics

    Article • Semantic Web, August 2015, IOS Press

    Fabrizio Riguzzi, PhD Riccardo Zese

  14. Bandit-based Monte-Carlo structure learning of probabilistic logic programs

    Article • Machine Learning, July 2015, Springer Science + Business Media

    Fabrizio Riguzzi

  15. The PITA System for Logical-Probabilistic Inference

    Article • November 2014, World Scientific Pub Co Pte Lt

    Fabrizio Riguzzi

  16. A History of Probabilistic Inductive Logic Programming

    Article • Frontiers in Robotics and AI, September 2014, Frontiers

    Fabrizio Riguzzi, PhD Riccardo Zese

  17. Terminating Evaluation of Logic Programs with Finite Three-Valued Models

    Article • ACM Transactions on Computational Logic, September 2014, ACM (Association for Computing Machinery)

    Fabrizio Riguzzi

  18. Lifted Variable Elimination for Probabilistic Logic Programming

    Article • Theory and Practice of Logic Programming, July 2014, Cambridge University Press

    Fabrizio Riguzzi, PhD Riccardo Zese

  19. Structure learning of probabilistic logic programs by searching the clause space

    Article • Theory and Practice of Logic Programming, January 2014, Cambridge University Press

    Fabrizio Riguzzi

  20. Semantics and Inference for Probabilistic Description Logics

    Article • January 2014, Springer Science + Business Media

    Fabrizio Riguzzi, PhD Riccardo Zese

  21. Learning Probabilistic Description Logics

    Article • January 2014, Springer Science + Business Media

    Fabrizio Riguzzi, PhD Riccardo Zese

  22. Speeding Up Inference for Probabilistic Logic Programs

    Article • The Computer Journal, August 2013, Oxford University Press (OUP)

    Fabrizio Riguzzi

  23. Guest editors introduction: special issue on Inductive Logic Programming (ILP 2012)

    Article • Machine Learning, June 2013, Springer Science + Business Media

    Fabrizio Riguzzi

  24. Parameter Learning for Probabilistic Ontologies

    Article • January 2013, Springer Science + Business Media

    Fabrizio Riguzzi, PhD Riccardo Zese

  25. BUNDLE: A Reasoner for Probabilistic Ontologies

    Article • January 2013, Springer Science + Business Media

    Fabrizio Riguzzi, PhD Riccardo Zese

  26. Computing Instantiated Explanations in OWL DL

    Article • January 2013, Springer Science + Business Media

    Fabrizio Riguzzi, PhD Riccardo Zese

  27. Well–definedness and efficient inference for probabilistic logic programming under the distribution semantics

    Article • Theory and Practice of Logic Programming, January 2012, Cambridge University Press

    Fabrizio Riguzzi

  28. Learning the Structure of Probabilistic Logic Programs

    Article • January 2012, Springer Science + Business Media

    Fabrizio Riguzzi

  29. The PITA system: Tabling and answer subsumption for reasoning under uncertainty

    Article • Theory and Practice of Logic Programming, July 2011, Cambridge University Press

    Fabrizio Riguzzi

  30. Applying the information bottleneck to statistical relational learning

    Article • Machine Learning, May 2011, Springer Science + Business Media

    Fabrizio Riguzzi

  31. Approximate Inference for Logic Programs with Annotated Disjunctions

    Article • January 2011, Springer Science + Business Media

    Fabrizio Riguzzi

  32. An Application of Fuzzy Logic to Strategic Environmental Assessment

    Article • January 2011, Springer Science + Business Media

    Fabrizio Riguzzi

  33. Logic–based decision support for strategic environmental assessment

    Article • Theory and Practice of Logic Programming, July 2010, Cambridge University Press

    Fabrizio Riguzzi

  34. Incremental Declarative Process Mining

    Article • January 2010, Springer Science + Business Media

    Fabrizio Riguzzi

  35. Probabilistic Declarative Process Mining

    Article • January 2010, Springer Science + Business Media

    Fabrizio Riguzzi

  36. Extended semantics and inference for the Independent Choice Logic

    Article • Logic Journal of IGPL, July 2009, Oxford University Press (OUP)

    Fabrizio Riguzzi

  37. Exploiting Inductive Logic Programming Techniques for Declarative Process Mining

    Article • January 2009, Springer Science + Business Media

    Fabrizio Riguzzi

  38. Checking Compliance of Execution Traces to Business Rules

    Article • January 2009, Springer Science + Business Media

    Fabrizio Riguzzi

  39. Inference with Logic Programs with Annotated Disjunctions under the Well Founded Semantics

    Article • January 2008, Springer Science + Business Media

    Fabrizio Riguzzi

  40. ALLPAD: approximate learning of logic programs with annotated disjunctions

    Article • Machine Learning, November 2007, Springer Science + Business Media

    Fabrizio Riguzzi

  41. Improving the K2 Algorithm Using Association Rule Parameters

    Article • January 2006, Elsevier

    Fabrizio Riguzzi

  42. Artificial Intelligence Techniques for Monitoring Dangerous Infections

    Article • IEEE Transactions on Information Technology in Biomedicine, January 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Fabrizio Riguzzi

  43. Bayesian Networks Learning for Gene Expression Datasets

    Article • January 2005, Springer Science + Business Media

    Fabrizio Riguzzi

  44. Learning Logic Programs with Annotated Disjunctions

    Article • January 2004, Springer Science + Business Media

    Fabrizio Riguzzi

  45. Belief revision via Lamarckian evolution

    Article • New Generation Computing, September 2003, Springer Science + Business Media

    Professor Luis Moniz Pereira, Fabrizio Riguzzi

  46. Discovering validation rules from microbiological data

    Article • New Generation Computing, June 2003, Springer Science + Business Media

    Fabrizio Riguzzi

  47. Improving the SLA Algorithm Using Association Rules

    Article • January 2003, Springer Science + Business Media

    Fabrizio Riguzzi

  48. Rule-based Programming for Building Expert Systems

    Article • Electronic Notes in Theoretical Computer Science, November 2001, Elsevier

    Fabrizio Riguzzi

  49. Belief Revision by Lamarckian Evolution

    Article • January 2001, Springer Science + Business Media

    Fabrizio Riguzzi

  50. An Expert System for Microbiological Data Validation and Surveillance

    Article • January 2001, Springer Science + Business Media

    Fabrizio Riguzzi

  51. Abductive concept learning

    Article • New Generation Computing, September 2000, Springer Science + Business Media

    Fabrizio Riguzzi

  52. Cooperation of Abduction and Induction in Logic Programming

    Article • January 2000, Springer Science + Business Media

    Fabrizio Riguzzi

  53. Integrating induction and abduction in logic programming

    Article • Information Sciences, May 1999, Elsevier

    Fabrizio Riguzzi

  54. Learning multiple predicates

    Article • January 1998, Springer Science + Business Media

    Fabrizio Riguzzi

  55. A system for abductive learning of logic programs

    Article • January 1998, Springer Science + Business Media

    Fabrizio Riguzzi

  56. Learning with abduction

    Article • January 1997, Springer Science + Business Media

    Fabrizio Riguzzi

  57. Applying Inductive Logic Programming to Process Mining

    Article • Springer Science + Business Media

    Fabrizio Riguzzi

  58. ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions

    Article • Springer Science + Business Media

    Fabrizio Riguzzi

  59. Inducing Declarative Logic-Based Models from Labeled Traces

    Article • Springer Science + Business Media

    Fabrizio Riguzzi

  60. A Top Down Interpreter for LPAD and CP-Logic

    Article • Springer Science + Business Media

    Fabrizio Riguzzi

  61. A System for Monitoring Nosocomial Infections

    Article • Springer Science + Business Media

    Fabrizio Riguzzi

  62. An intelligent medical system for microbiological data validation and nosocomial infection surveillance

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Fabrizio Riguzzi