Fabrizio Riguzzi
My co-authors include
Marco Gavanelli
Professor Luis Moniz Pereira
PhD Riccardo Zese
My Publications
Reasoning on Datalog± Ontologies with Abductive Logic Programming
Fundamenta Informaticae
March 2018
cplint on SWISH: Probabilistic Logical Inference with a Web Browser
Intelligenza Artificiale
April 2017
Abductive Logic Programming for Normative Reasoning and Ontologies
January 2017
A survey of lifted inference approaches for probabilistic logic programming under the d...
International Journal of Approximate Reasoning
January 2017
Tableau reasoning for description logics and its extension to probabilities
Annals of Mathematics and Artificial Intelligence
October 2016
The distribution semantics for normal programs with function symbols
International Journal of Approximate Reasoning
October 2016
A web system for reasoning with probabilistic OWL
Software Practice and Experience
May 2016
Statistical relational learning for workflow mining
Intelligent Data Analysis
April 2016
Distributed Parameter Learning for Probabilistic Ontologies
January 2016
Probabilistic Logical Inference on the Web
January 2016
Probabilistic Hybrid Knowledge Bases Under the Distribution Semantics
January 2016
Probabilistic logic programming on the web
Software Practice and Experience
December 2015
Probabilistic Description Logics under the distribution semantics
Semantic Web
August 2015
Bandit-based Monte-Carlo structure learning of probabilistic logic programs
Machine Learning
July 2015
The PITA System for Logical-Probabilistic Inference
November 2014
A History of Probabilistic Inductive Logic Programming
Frontiers in Robotics and AI
September 2014
Terminating Evaluation of Logic Programs with Finite Three-Valued Models
ACM Transactions on Computational Logic
September 2014
Lifted Variable Elimination for Probabilistic Logic Programming
Theory and Practice of Logic Programming
July 2014
Structure learning of probabilistic logic programs by searching the clause space
Theory and Practice of Logic Programming
January 2014
Semantics and Inference for Probabilistic Description Logics
January 2014
Learning Probabilistic Description Logics
January 2014
Speeding Up Inference for Probabilistic Logic Programs
The Computer Journal
August 2013
Guest editors introduction: special issue on Inductive Logic Programming (ILP 2012)
Machine Learning
June 2013
Parameter Learning for Probabilistic Ontologies
January 2013
BUNDLE: A Reasoner for Probabilistic Ontologies
January 2013
Computing Instantiated Explanations in OWL DL
January 2013
Well–definedness and efficient inference for probabilistic logic programming under the ...
Theory and Practice of Logic Programming
January 2012
Learning the Structure of Probabilistic Logic Programs
January 2012
The PITA system: Tabling and answer subsumption for reasoning under uncertainty
Theory and Practice of Logic Programming
July 2011
Applying the information bottleneck to statistical relational learning
Machine Learning
May 2011
Approximate Inference for Logic Programs with Annotated Disjunctions
January 2011
An Application of Fuzzy Logic to Strategic Environmental Assessment
January 2011
Logic–based decision support for strategic environmental assessment
Theory and Practice of Logic Programming
July 2010
Incremental Declarative Process Mining
January 2010
Probabilistic Declarative Process Mining
January 2010
Extended semantics and inference for the Independent Choice Logic
Logic Journal of IGPL
July 2009
Exploiting Inductive Logic Programming Techniques for Declarative Process Mining
January 2009
Checking Compliance of Execution Traces to Business Rules
January 2009
Inference with Logic Programs with Annotated Disjunctions under the Well Founded Semantics
January 2008
ALLPAD: approximate learning of logic programs with annotated disjunctions
Machine Learning
November 2007
Improving the K2 Algorithm Using Association Rule Parameters
January 2006
Artificial Intelligence Techniques for Monitoring Dangerous Infections
IEEE Transactions on Information Technology in Biomedicine
January 2006
Bayesian Networks Learning for Gene Expression Datasets
January 2005
Learning Logic Programs with Annotated Disjunctions
January 2004
Belief revision via Lamarckian evolution
New Generation Computing
September 2003
Discovering validation rules from microbiological data
New Generation Computing
June 2003
Improving the SLA Algorithm Using Association Rules
January 2003
Rule-based Programming for Building Expert Systems
Electronic Notes in Theoretical Computer Science
November 2001
Belief Revision by Lamarckian Evolution
January 2001
An Expert System for Microbiological Data Validation and Surveillance
January 2001
Abductive concept learning
New Generation Computing
September 2000
Cooperation of Abduction and Induction in Logic Programming
January 2000
Integrating induction and abduction in logic programming
Information Sciences
May 1999
Learning multiple predicates
January 1998
A system for abductive learning of logic programs
January 1998
Learning with abduction
January 1997
Applying Inductive Logic Programming to Process Mining
ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions
Inducing Declarative Logic-Based Models from Labeled Traces
A Top Down Interpreter for LPAD and CP-Logic
A System for Monitoring Nosocomial Infections
An intelligent medical system for microbiological data validation and nosocomial infect...