Joost Vennekens
Scholar

Joost Vennekens

Google Scholar ID: MGIgNOoAAAAJ
Vrije Universiteit Brussel
Knowledge representationArtificial IntelligenceUncertaintyCausality
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,037
 
H-index
16
 
i10-index
31
 
Publications
20
 
Co-authors
0
 
Contact
Emailmailto:?subject=Joost%20Vennekens&body=Check%20out%20this%20researcher%20at%20Vrije%20Universiteit%20Brussel%3A%20Joost%20Vennekens | https://researchportal.vub.be/en/persons/joost-vennekens/?utm_source=email&utm_medium=email&utm_campaign=sharelinkTwitterOpen ↗
Publications
2 items
Assessing the Alignment of Popular CNNs to the Brain for Valence Appraisal
2025
Cited
0
VERUS-LM: a Versatile Framework for Combining LLMs with Symbolic Reasoning
2025
Cited
0
Resume
Academic Achievements
  • Published a large number of academic papers, with over 10 publications each year from 2020 to 2023. Specific works include 'A Domain Ontology for Ishikawa Diagrams to Enhance Root Cause Analysis', 'A practical approach to handling tabular data in logic', and 'DIRT: a Literature-Based Benchmark Suite for Grounders'.
Research Experience
  • Involved in multiple research projects such as Symbolic AI for Neurosymbolic Applications (OZR4420), IRVA project EXKNOP - EXtracting KNOwledge for Product Development Engineers (SOCMAAK41), and Social Cognition in Silico and In Vivo (FWOAL1177).
Education
  • Insufficient information provided for specific educational background details.
Background
  • Research interests include knowledge representation, logical reasoning, etc. Works in the field of Informatics and Applied Informatics at Vrije Universiteit Brussel.
Miscellany
  • Insufficient information provided regarding personal interests or hobbies.