A History of Probabilistic Inductive Logic Programming

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

scholarly article by Fabrizio Riguzzi et al published January 2017 in International Journal of Approximate Reasoning

A system for abductive learning of logic programs

A web system for reasoning with probabilistic OWL

ALLPAD: approximate learning of logic programs with annotated disjunctions

article published in 2007

Abductive Logic Programming for Normative Reasoning and Ontologies

Abductive concept learning

An Application of Fuzzy Logic to Strategic Environmental Assessment

Applying Inductive Logic Programming to Process Mining

Applying the information bottleneck to statistical relational learning

Approximate Inference for Logic Programs with Annotated Disjunctions

Artificial intelligence techniques for monitoring dangerous infections

artículo científico publicado en 2006

BUNDLE: A Reasoner for Probabilistic Ontologies

article by Fabrizio Riguzzi et al published 2013 in Lecture Notes in Computer Science

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

Belief Revision by Lamarckian Evolution

Belief revision via Lamarckian evolution

Causal inference in cplint

scholarly article by Fabrizio Riguzzi et al published December 2017 in International Journal of Approximate Reasoning

Characterization of TLC 3D-NAND Flash Endurance through Machine Learning for LDPC Code Rate Optimization

scholarly article published May 2017

Checking Compliance of Execution Traces to Business Rules

artículo científico publicado en 2009

Computing Instantiated Explanations in OWL DL

Dischargeable Obligations in Abductive Logic Programming

Discovering validation rules from microbiological data

Distributed Parameter Learning for Probabilistic Ontologies

Expectation maximization over binary decision diagrams for probabilistic logic programs

Exploiting Inductive Logic Programming Techniques for Declarative Process Mining

article published in 2009

Exploiting association and correlation rules parameters for learning Bayesian networks

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

Incremental Declarative Process Mining

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

Integrating induction and abduction in logic programming

Learning Probabilistic Description Logics

Learning the Structure of Probabilistic Logic Programs

article published in 2012

Lifted discriminative learning of probabilistic logic programs

Parameter Learning for Probabilistic Ontologies

Probabilistic Declarative Process Mining

article published in 2010

Probabilistic Description Logics under the distribution semantics

Probabilistic Hybrid Knowledge Bases Under the Distribution Semantics

Probabilistic Inductive Logic Programming on the Web

Probabilistic Logic Models for the Lightning Network

scientific article published in 2022

Probabilistic Logic Programming in Action

Probabilistic Logical Inference on the Web

article

Probabilistic logic programming on the web

Reasoning on Datalog± Ontologies with Abductive Logic Programming

Semantics and Inference for Probabilistic Description Logics

Statistical relational learning for workflow mining

Symbolic DNN-Tuner: A Python and ProbLog-based system for optimizing Deep Neural Networks hyperparameters

artículo científico publicado en 2022

Tableau reasoning for description logics and its extension to probabilities

Terminating Evaluation of Logic Programs with Finite Three-Valued Models

The distribution semantics for normal programs with function symbols

scholarly article by Fabrizio Riguzzi published October 2016 in International Journal of Approximate Reasoning

Using SWISH to Realize Interactive Web-based Tutorials for Logic-based Languages

artículo científico publicado en 2019

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

cplint on SWISH: Probabilistic Logical Inference with a Web Browser

article