Machine Learning Approaches for the Prediction of Gas Turbine Transients

Lifted inference for statistical statements in probabilistic answer set programming

Rapid Assessment of COVID-19 Mortality Risk with GASS Classifiers

A Machine Learning Framework for Multi-Hazard Risk Assessment at the Regional Scale in Earthquake and Flood-Prone Areas

Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models

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

Abduction with probabilistic logic programming under the distribution semantics

Probabilistic Logic Models for the Lightning Network

Symbolic DNN-Tuner

Probabilistic inductive constraint logic

Nonground Abductive Logic Programming with Probabilistic Integrity Constraints

Identification of natural selection in genomic data with deep convolutional neural network

A semantics for Hybrid Probabilistic Logic programs with function symbols

Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series

Learning hierarchical probabilistic logic programs

Declarative and Mathematical Programming approaches to Decision Support Systems for food recycling

Dischargeable Obligations in the ScIFF Framework

MAP Inference for Probabilistic Logic Programming

Editorial: Statistical relational artificial intelligence

Lifted discriminative learning of probabilistic logic programs