Rapid Assessment of COVID-19 Mortality Risk with GASS Classifiers

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

Probabilistic Logic Models for the Lightning Network

Symbolic DNN-Tuner

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

Abduction with probabilistic logic programming under the distribution semantics

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

Probabilistic inductive constraint logic

Nonground Abductive Logic Programming with Probabilistic Integrity Constraints

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

Learning hierarchical probabilistic logic programs

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

A semantics for Hybrid Probabilistic Logic programs with function symbols

MAP Inference for Probabilistic Logic Programming

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

Dischargeable Obligations in the ScIFF Framework

Using SWISH to realize interactive web-based tutorials for logic-based languages

Lifted discriminative learning of probabilistic logic programs

Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach

Studying transaction fees in the Bitcoin Blockchain with probabilistic logic programming