Luc De Raedt

From statistical relational to neurosymbolic artificial intelligence: A survey

Artificial Intelligence 2024cited by 48position: lastdoi

SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge

Proceedings of the AAAI Conference on Artificial Intelligence 2024cited by 26position: lastdoi

Automating data science

Communications of the ACM 2022cited by 42position: middledoi

From Statistical Relational to Neuro-Symbolic Artificial Intelligence

2020cited by 102position: firstdoi

COVID-19 in people with multiple sclerosis: A global data sharing initiative

Multiple Sclerosis Journal 2020cited by 61position: middledoi

Comprehensive targeted next‐generation sequencing approach in the molecular diagnosis of <scp>gastrointestinal stromal tumor</scp>

Genes Chromosomes and Cancer 2020cited by 46position: middledoi

Representing dynamic biological networks with multi-scale probabilistic models

Communications Biology 2019cited by 39position: middledoi

ACE-inhibition induces a cardioprotective transcriptional response in the metabolic syndrome heart

Scientific Reports 2018cited by 398position: middledoi

Learning Constraints From Examples

Proceedings of the AAAI Conference on Artificial Intelligence 2018cited by 50position: firstdoi

Semantic and geometric reasoning for robotic grasping: a probabilistic logic approach

Autonomous Robots 2018cited by 45position: lastdoi

Statistical Relational Artificial Intelligence: Logic, Probability, and Computation

Synthesis lectures on artificial intelligence and machine learning 2016cited by 175position: firstdoi

Statistical Relational Artificial Intelligence

Synthesis lectures on artificial intelligence and machine learning 2016cited by 83position: firstdoi

Algebraic model counting

Journal of Applied Logic 2016cited by 48position: lastdoi

Data Mining and Constraint Programming

Lecture notes in computer science 2016cited by 40position: middledoi

Probabilistic logic programming for hybrid relational domains

Machine Learning 2016cited by 38position: lastdoi

Inference and learning in probabilistic logic programs using weighted Boolean formulas

eScholarship (California Digital Library) 2015cited by 206position: last

Probabilistic (logic) programming concepts

Machine Learning 2015cited by 189position: firstdoi

Neural-Symbolic Learning and Reasoning: Contributions and Challenges

City Research Online (City University London) 2015cited by 125position: middledoi

Inducing probabilistic relational rules from probabilistic examples

Lirias (KU Leuven) 2015cited by 58position: first

Graph invariant kernels

Lirias (KU Leuven) 2015cited by 58position: last

ProbLog2: Probabilistic Logic Programming

Lecture notes in computer science 2015cited by 41position: lastdoi

kLog: A language for logical and relational learning with kernels

Artificial Intelligence 2014cited by 49position: middledoi

Proceedings of the 20th European Conference on Artificial Intelligence

2012cited by 115position: first

Learning relational affordance models for robots in multi-object manipulation tasks

2012cited by 108position: lastdoi

A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories

Florence Research (University of Florence) 2012cited by 39position: last

Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection

Lecture notes in computer science 2012cited by 31position: lastdoi

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