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Computer Science

D-Index
39
Citations
6935
World Ranking
9716
National Ranking
93

Overview

Koen Vanhoof is a researcher affiliated with Hasselt University in Belgium, specializing primarily in the field of Computer Science. Their academic contributions are centered around several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Information Systems, and Computational Theory and Mathematics.

Their research spans a variety of topics within these areas, focusing on:

  • Cognitive Science and Mapping
  • Neural Networks and Applications
  • Cognitive Computing and Networks
  • Text and Document Classification Technologies
  • Rough Sets and Fuzzy Logic
  • Energy Load and Power Forecasting
  • Explainable Artificial Intelligence (XAI)

Vanhoof has published extensively, with recent papers including:

  • Deep neural network to extract high-level features and labels in multi-label classification problems, 2020, Neurocomputing
  • Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches, 2020, Neural Networks
  • Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting, 2020, Applied Soft Computing
  • Data quality measures based on granular computing for multi-label classification, 2021, Information Sciences
  • Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps, 2020, IEEE Transactions on Fuzzy Systems

The venues where Vanhoof frequently publishes demonstrate a concentration in both peer-reviewed journals and preprint platforms, including:

  • arXiv (Cornell University)
  • Neurocomputing
  • IEEE Transactions on Fuzzy Systems
  • Neural Networks
  • Applied Soft Computing

Vanhoof collaborates with a consistent group of co-authors, including:

  • Gonzalo Nápoles
  • Rafael Bello
  • Marilyn Bello
  • Yamisleydi Salgueiro
  • Leonardo Concepción

Best Publications

  • A knowledge-based SWOT-analysis system as an instrument for strategic planning in small and medium sized enterprises

    G. Houben;K. Lenie;K. Vanhoof

  • Using association rules for product assortment decisions: a case study

    Tom Brijs;Gilbert Swinnen;Koen Vanhoof;Geert Wets

  • Traffic accident segmentation by means of latent class clustering.

    Benoît Depaire;Geert Wets;Koen Vanhoof

  • Bankruptcy prediction using a data envelopment analysis

    Agnes Cielen;Ludo Peeters;Koen Vanhoof

  • A review on methods and software for fuzzy cognitive maps

    Gerardo Felix;Gonzalo Nápoles;Rafael Falcon;Wojciech Froelich

  • A business process mining application for internal transaction fraud mitigation

    Mieke Jans;Jan Martijn van der Werf;Nadine Lybaert;Koen Vanhoof

  • Collateral, relationship lending and family firms

    Tensie Steijvers;Wim Voordeckers;Koen Vanhoof

  • On the convergence of sigmoid Fuzzy Cognitive Maps

    Gonzalo Nápoles;Elpiniki Papageorgiou;Rafael Bello;Koen Vanhoof

  • Detecting malicious URLs using machine learning techniques

    Frank Vanhoenshoven;Gonzalo Napoles;Rafael Falcon;Koen Vanhoof

  • Internal fraud risk reduction: Results of a data mining case study

    Mieke Jans;Nadine Lybaert;Koen Vanhoof

  • Integrating Bayesian networks and decision trees in a sequential rule-based transportation model

    Davy Janssens;Geert Wets;Tom Brijs;Koen Vanhoof

  • A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model

    Tom Brijs;Bart Goethals;Gilbert Swinnen;Koen Vanhoof

  • Building an Association Rules Framework to Improve Product Assortment Decisions

    Tom Brijs;Gilbert Swinnen;Koen Vanhoof;Geert Wets

  • A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation

    Yongjun Shen;Elke Hermans;Da Ruan;Geert Wets

  • Profiling of High-Frequency Accident Locations by Use of Association Rules

    Karolien Geurts;Geert Wets;Tom Brijs;Koen Vanhoof

  • Mining Navigation Patterns Using a Sequence Alignment Method

    Birgit Hay;Geert Wets;Koen Vanhoof

  • IDENTIFICATION AND RANKING OF BLACK SPOTS: SENSITIVITY ANALYSIS

    Karolien Geurts;Geert Wets;Tom Brijs;Koen Vanhoof

  • Profiling high frequency accident locations using associations rules

    Karolien Geurts;Geert Wets;Tom Brijs;Koen Vanhoof

  • Identifying Decision Structures Underlying Activity Patterns: An Exploration of Data Mining Algorithms

    G Wets;K Vanhoof;TA Theo Arentze;Hjp Harry Timmermans

  • Identifying latently dissatisfied customers and measures for dissatisfaction management

    Johanna Bloemer;Tom Brijs;Gilbert Swinnen;Koen Vanhoof

  • FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps

    Gonzalo Nápoles;Maikel Leon Espinosa;Isel Grau;Koen Vanhoof

Frequent Co-Authors

Geert Wets
Geert Wets Hasselt University
Tom Brijs
Tom Brijs Hasselt University
Davy Janssens
Davy Janssens Hasselt University
Da Ruan
Da Ruan Ghent University
Elpiniki I. Papageorgiou
Elpiniki I. Papageorgiou University Of Thessaly
Jose L. Salmeron
Jose L. Salmeron CUNEF University
TA Theo Arentze
TA Theo Arentze Eindhoven University of Technology
Harry Timmermans
Harry Timmermans Eindhoven University of Technology
Hjp Harry Timmermans
Hjp Harry Timmermans Eindhoven University of Technology
Frans Coenen
Frans Coenen University of Liverpool

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