Koen Vanhoof

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2018, 2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

Intelligent Data Processing in Global Monitoring for Environment and Security

Koen Vanhoof, Krassimira Ivanova, Krassimir Markov, 2011 .

Road safety risk evaluation by means of ordered weighted averaging operators and expert knowledge

Geert Wets, Tom Brijs, Koen Vanhoof, 2010, Knowl. Based Syst..

Outliers Detection in Multi-label Datasets

Koen Vanhoof, Marilyn Bello, Gonzalo Nápoles, 2020, MICAI.

The simulation of activity diary data using sequential probability distributions

Davy Janssens, Geert Wets, Tom Brijs, 2004 .

ArmSquare: An Association Rule Miner Based on Multidimensional Numbered Information Spaces

Koen Vanhoof, Krassimira Ivanova, Benoît Depaire, 2011 .

Learning and clustering of fuzzy cognitive maps for travel behaviour analysis

Koen Vanhoof, Da Ruan, Benoît Depaire, 2013, Knowledge and Information Systems.

Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction

Geert Wets, Tom Brijs, Koen Vanhoof, 2005, Intelligent Data Mining.

The use of rule-based knowledge discovery techniques to profile black spots

Geert Wets, Tom Brijs, Koen Vanhoof, 2002 .

COMPARING COMPLETE AND PARTIAL CLASSIFICATION FOR IDENTIFYING CUSTOMERS AT RISK

Tom Brijs, Koen Vanhoof, Gilbert Swinnen, 2003 .

Retrieving batch organisation of work insights from event logs

Koen Vanhoof, Niels Martin, Benoît Depaire, 2017, Decis. Support Syst..

Knowledge Management and eLearning in Professional Development

Koen Vanhoof, Abdullah Y. Al-Zoubi, Jeanne Schreurs, 2008, WSKS.

Traffic accident segmentation by means of latent class clustering.

Geert Wets, Koen Vanhoof, Benoît Depaire, 2008, Accident; analysis and prevention.

Application of Online Regression Tree Induction to Forecast Traffic Flows

Davy Janssens, Geert Wets, Koen Vanhoof, 2008 .

PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments

Geert Wets, Koen Vanhoof, Benoît Depaire, 2011, Intell. Data Anal..

SYSTEMOLOGICAL LANGUAGE FOR INTELLIGENCE BUSINESS MODELLING

Koen Vanhoof, Mikhail Bondarenko, Kateryna Solovyova, 2009 .

Clustering and profiling traffic roads by means of accident data

Tom Brijs, Koen Vanhoof, Geert Wets, 2003 .

Travel Time Evaluation of an Innovative U-Turn Facility on Urban Arterial Roadways

Geert Wets, Tom Brijs, Koen Vanhoof, 2009 .

Fuzzy Cognitive Maps for Modeling Complex

Koen Vanhoof, Rafael Bello, Maikel León, 2010 .

Segmentation of visiting patterns on web sites using a sequence alignment method

Geert Wets, Koen Vanhoof, Birgit Hay, 2003 .

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

Geert Wets, Tom Brijs, Koen Vanhoof, 2009, Expert Syst. Appl..

An indirect measurement for customer expectation

Tom Brijs, Koen Vanhoof, Geert Wets, 2003 .

Analysing success criteria for ICT projects

Koen Vanhoof, Koen Milis, 2007 .

Comparison of Discretization Methods for Preprocessing Data for Pyramidal Growing Network Classification Method

Koen Vanhoof, Peter Stanchev, M. Ilia, 2009 .

Reduction Methods for Multi-Label Datasets Based on Granular Computing

Koen Vanhoof, Gonzalo Nápoles, Rafael Bello, 2019, BNAIC/BENELEARN.

Customer Segmentation Using Multiple Instance Clustering and Purchasing Behaviors

Koen Vanhoof, Gonzalo Nápoles, Leticia Arco, 2018, IWAIPR.

Profiling high frequency accident locations using associations rules

Tom Brijs, Koen Vanhoof, Geert Wets, 2002 .

Modeling Methodologies for Small and Midsized Evaluation and Comparison of Business Process

Koen Vanhoof, Fatma Aksu, Liesbet De Munck, 2010 .

Cognitive Maps in Transport Behavior

Koen Vanhoof, Rafael Bello, Maikel León, 2009, 2009 Eighth Mexican International Conference on Artificial Intelligence.

Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportation System

Davy Janssens, Geert Wets, Tom Brijs, 2005, Intelligent Data Mining.

Chapter 4 : APICAS – Content-Based Image Retrieval in Art Image Collections Utilizing Colour Semantics

Koen Vanhoof, Krassimira Ivanova, Milena Dobreva, 2012 .

Inductive Development of Customer e-Loyalty Theory with Bayesian Networks

Koen Vanhoof, Josée Bloemer, Waldemar Jaronski, 2005, CORES.

Tuning the multivariate Poisson mixture model for clustering supermarket shoppers

Tom Brijs, Koen Vanhoof, Dimitris Karlis, 2002 .

iValuator: performance measurement of website pages

Geert Wets, Koen Vanhoof, Gilbert Swinnen, 2000 .

Integrating rules and cases for the classification task: case-based reasoning research and development

Koen Vanhoof, Jerzy Surma, 1995 .

Unraveling Bi-Lingual Multi-feature based Text Classification: A case study

Koen Vanhoof, Sergii Mashtalir, Volodymyr Mashtalir, 2017 .

ANALYZING THE COLLECTIVE INTELLIGENCE APPLICATION SOFTWARE "WISDOM PROFESSIONAL" FOR ADVERTISING IN (SOCIAL) MEDIA, CASE STUDY: COCA-COLA

Koen Vanhoof, Elham Fayezioghani, K. Vanhoof, 2014 .

Analyzing the impact of the adaptive clearing mechanism on algorithm accuracy in Variable Mesh Optimization

Koen Vanhoof, Maikel León, Gonzalo Nápoles, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Evaluation of road safety performance indicators using OWA operators

Geert Wets, Tom Brijs, Koen Vanhoof, 2008 .

A Decision Support Tool for Evaluating Loyalty and Word-of-Mouth Using Model-Based Knowledge Discovery

Geert Wets, Koen Vanhoof, Benoît Depaire, 2010, IEA/AIE.

Fuzzy Cognitive Maps Tool for Scenario Analysis and Pattern Classification

Koen Vanhoof, Isel Grau, Maikel León, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

Mental maps and travel behaviour: meanings and models

Davy Janssens, Koen Vanhoof, Geert Wets, 2012, J. Geogr. Syst..

Internal Fraud Risk Reduction - Results of a Data Mining Case Study

Koen Vanhoof, Mieke Jans, Nadine Lybaert, 2010, ICEIS.

An Advice System for Travel Agents

Koen Vanhoof, Ingrid Molderez, 1994, ENTER.

A model to improve management of banking customers

Koen Vanhoof, Gilbert Swinnen, Manuel Sánchez-Pérez, 2017, Ind. Manag. Data Syst..

Capturing Resource Behaviour From Event Logs

Koen Vanhoof, Niels Martin, Benoît Depaire, 2016, SIMPDA.

Aggregation of Partial Rankings - An Approach Based on the Kemeny Ranking Problem

Koen Vanhoof, Rafael Bello, Elpiniki I. Papageorgiou, 2015, IWANN.

Data envelopment analysis in road safety: Model building considerations

Geert Wets, Tom Brijs, Koen Vanhoof, 2011 .

Road safety risk evaluation and target setting using data envelopment analysis and its extensions.

Tom Brijs, Koen Vanhoof, Yongjun Shen, 2012, Accident; analysis and prevention.

Using Fuzzy Set Theory to Assess Country-of-Origin Effects on the Formation of Product Attitude

Tom Brijs, Koen Vanhoof, Dimitris Karlis, 2006, MDAI.

Using association rules in customer satisfaction studies to identify latent dissatisfied customers

Tom Brijs, Koen Vanhoof, Gilbert Swinnen, 1998 .

Identiying Homogenous Customer Segments for Low Risk Email Marketing Experiments

Geert Wets, Koen Vanhoof, Benoît Depaire, 2009, ICEIS.

Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making

Koen Vanhoof, Rafael Bello, Isel Grau, 2014, RSEISP.

A position and page-sensitive sequence alignment method illustrated for visiting patterns within websites

Koen Vanhoof, Geert Wets, Birgit Hay, 2001 .

CHIEM: A New Compact Camera for Hyperspectral Imaging

Koen Vanhoof, Andy Lambrechts, Jan Vandenbussche, 2017 .

Expanding MLkNN Using Extended Rough Set Theory

Koen Vanhoof, Rafael Bello, María Matilde García Lorenzo, 2018, IWAIPR.

The role of Occam's razor in activity based modeling

Geert Wets, Koen Vanhoof, Marc Aerts, 2002 .

Learning and Convergence of Fuzzy Cognitive Maps Used in Pattern Recognition

Koen Vanhoof, Rafael Bello, Elpiniki I. Papageorgiou, 2016, Neural Processing Letters.

A business process mining application for internal transaction fraud mitigation

Koen Vanhoof, Jan Martijn E. M. van der Werf, Mieke Jans, 2011, Expert Syst. Appl..

Benchmarking road safety: lessons to learn from a data envelopment analysis.

Geert Wets, Tom Brijs, Koen Vanhoof, 2009, Accident; analysis and prevention.

A travel behaviour study through learning and clustering of fuzzy cognitive maps

Koen Vanhoof, Benoît Depaire, Da Ruan, 2013 .

A review on methods and software for fuzzy cognitive maps

Koen Vanhoof, Rafael Bello, Gonzalo Nápoles, 2019, Artificial Intelligence Review.

A Process Deviation Analysis Framework

Koen Vanhoof, Benoît Depaire, Mieke Jans, 2012, Business Process Management Workshops.

A Granular Intrusion Detection System Using Rough Cognitive Networks

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2016, Recent Advances in Computational Intelligence in Defense and Security.

Rough cognitive ensembles

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2017, Int. J. Approx. Reason..

ARUBAS: An Association Rule Based Similarity Framework for Associative Classifiers

Geert Wets, Koen Vanhoof, Benoît Depaire, 2008, 2008 IEEE International Conference on Data Mining Workshops.

An empirical study on combining instance based and rule based classifiers

Koen Vanhoof, Jerzy Surma, 1998 .

RETRACTED CHAPTER: Towards the Convergence in Fuzzy Cognitive Maps Based Decision-Making Models

Koen Vanhoof, Rafael Bello, Isel Grau, 2018 .

Capturing Process Behavior with Log-Based Process Metrics

Koen Vanhoof, Benoît Depaire, Gert Janssenswillen, 2015, SIMPDA.

A Preliminary Study on Symbolic Fuzzy Cognitive Maps for Pattern Classification

Koen Vanhoof, Gonzalo Nápoles, Rafael Bello, 2019, WEA.

Cost Sensitive Discretization of Numeric Attributes

Tom Brijs, Koen Vanhoof, 1998, PKDD.

Application Challenges for Ubiquitous Knowledge Discovery

Koen Vanhoof, Ina Lauth, 2010, Ubiquitous Knowledge Discovery.

Batch Processing: Definition and Event Log Identification

Koen Vanhoof, Niels Martin, Benoît Depaire, 2015, SIMPDA.

On the Accuracy–Convergence Tradeoff in Sigmoid Fuzzy Cognitive Maps

Koen Vanhoof, Gonzalo Nápoles, Rafael Bello, 2018, IEEE Transactions on Fuzzy Systems.

A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior Sciences

Koen Vanhoof, Rafael Bello, Maikel León, 2010, Polibits.

A Process Deviation Analysis - A Case Study

Koen Vanhoof, Benoît Depaire, Mieke Jans, 2011, Business Process Management Workshops.

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

Davy Janssens, Geert Wets, Tom Brijs, 2006, Eur. J. Oper. Res..

Reducing redundancy in characteristic rule discovery by using integer programming techniques

Geert Wets, Tom Brijs, Koen Vanhoof, 2000, Intell. Data Anal..

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

Koen Vanhoof, Geert-Jan Houben, K. Lenie, 1999, Decis. Support Syst..

Forecasting Social Security Revenues in Jordan Using Fuzzy Cognitive Maps

Koen Vanhoof, Gonzalo Nápoles, George Sammour, 2017, KES-IDT.

Research Challenges in Ubiquitous Knowledge Discovery

Koen Vanhoof, Katharina Morik, Donato Malerba, 2008, Next Generation of Data Mining.

Prototypes Generation from Multi-label Datasets Based on Granular Computing

Koen Vanhoof, Gonzalo Nápoles, Rafael Bello, 2019, CIARP.

Using association rules for product assortment decisions: a case study

Geert Wets, Tom Brijs, Koen Vanhoof, 1999, KDD '99.

Modeling qualitative data in data envelopment analysis for composite indicators

Geert Wets, Tom Brijs, Koen Vanhoof, 2011, Int. J. Syst. Assur. Eng. Manag..

Evaluation of ordinal attributes at value level

Koen Vanhoof, Marko Robnik-Sikonja, K. Vanhoof, 2007, Data Mining and Knowledge Discovery.

Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering

Koen Vanhoof, Ajith Abraham, Benoît Depaire, 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

On the convergence of sigmoid Fuzzy Cognitive Maps

Koen Vanhoof, Rafael Bello, Elpiniki I. Papageorgiou, 2016, Inf. Sci..

Integration Rules and Cases for the Classification Task

Koen Vanhoof, Jerzy Surma, 1995, ICCBR.

Comparative Analysis of Symbolic Reasoning Models for Fuzzy Cognitive Maps

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2019 .

Road Safety Target Setting in Europe based on a Combined Data Envelopment Analysis and Time Series Analysis Approach

Geert Wets, Tom Brijs, Koen Vanhoof, 2011 .

Usefulness of sequence alignment methods in validating rule-based activity-based models

Davy Janssens, Geert Wets, Koen Vanhoof, 2012 .

Comparing Two Hybrid Expert System Shells

Koen Vanhoof, Jerzy Surma, 1994, Int. J. Softw. Eng. Knowl. Eng..

Ranking and Selecting Dangerous Accident Locations: Case Study

Tom Brijs, Koen Vanhoof, Karolien Geurts, 2005 .

International Journal INFORMATION THEORIES & APPLICATIONS

Koen Vanhoof, Alfredo Milani, Levon Aslanyan, 2009 .

Exploiting sensitivity analysis in Bayesian networks for customer satisfaction study

Geert Wets, Koen Vanhoof, Josée Bloemer, 2004, Intelligent Information Systems.

An Excellent Guest Professor in Hasselt University

Davy Janssens, Geert Wets, Koen Vanhoof, 2013, A Tribute to Prof. Dr. Da Ruan.

Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps

Koen Vanhoof, Rafael Bello, Benoît Depaire, 2013, Int. J. Comput. Intell. Syst..

Web Usage Mining by Means of Multidimensional Sequence Alignment Methods

Geert Wets, Koen Vanhoof, Birgit Hay, 2002, WEBKDD.

bupaR: Enabling reproducible business process analysis

Koen Vanhoof, Benoît Depaire, Gert Janssenswillen, 2019, Knowl. Based Syst..

The usefulness of the Sequence Alignment Methods in validating rule-based activity-based forecasting models

Davy Janssens, Geert Wets, Koen Vanhoof, 2012 .

Development of Customs Prediction Model for Online Ordering

Koen Vanhoof, George Sammour, Lina I. Sharawi, 2017, 2017 International Conference on New Trends in Computing Sciences (ICTCS).

Retraction Note to: Towards the Convergence in Fuzzy Cognitive Maps Based Decision-Making Models

Koen Vanhoof, Rafael Bello, Isel Grau, 2018 .

Discovery and use of art images on the web: an overview

Koen Vanhoof, Milena Dobreva, Peter Stanchev, 2010 .

Using K-Means Clustering and Data Visualization for Monetizing logistics Data

Koen Vanhoof, George Sammour, Hamzah Qabbaah, 2019, 2019 2nd International Conference on new Trends in Computing Sciences (ICTCS).

Intelligent Decision Making Systems: Proceedings of the 4th International ISKE Conference Hasselt, Belgium 27-28 November 2009

Geert Wets, Koen Vanhoof, Tianrui Li, 2009 .

Introduction to the Natural Language Addressing

Koen Vanhoof, Krassimira Ivanova, Vitalii Velychko, 2013 .

The Importance of Aggregation Operator Characteristics in Marketing Research

Geert Wets, Tom Brijs, Koen Vanhoof, 2007, ICEIS.

A New Software Architecture For Simulation

Koen Vanhoof, K. Lenie, 1995 .

Tracking household routines using scheduling hypothesis embedded in skeletons

Davy Janssens, Geert Wets, Koen Vanhoof, 2012 .

Short-term Cognitive Networks, Flexible Reasoning and Nonsynaptic Learning

Koen Vanhoof, Gonzalo Nápoles, Frank Vanhoenshoven, 2019, Neural Networks.

Building an Association Rules Framework to Improve Product Assortment Decisions

Geert Wets, Tom Brijs, Koen Vanhoof, 2004, Data Mining and Knowledge Discovery.

Evaluating Trauma Management Performance in Europe: A Multiple-Layer Data Envelopment Analysis Model

Geert Wets, Tom Brijs, Koen Vanhoof, 2010 .

A decision support tool for evaluating customer intentions

Geert Wets, Koen Vanhoof, Benoît Depaire, 2012, Expert Syst. Appl..

The improvement of response modeling: combining rule-induction and case-based reasoning

Geert Wets, Koen Vanhoof, Frans Coenen, 2000 .

Partitive granular Cognitive Maps to graded multilabel classification

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Symbolic data as measures for logistical performances

Koen Vanhoof, Hendrik Van Landeghem, Daniella De Vos, 2007 .

Metric Categorization Relations Based on Support System Analysis

Koen Vanhoof, Krassimira Ivanova, Krassimir Markov, 2009 .

Multi‐dimensional Information Spaces as Memory Structures for Intelligent Data Processing in GMES

Koen Vanhoof, Krassimira Ivanova, Krassimir Markov, 2011 .

The Natural Language Addressing Approach

Koen Vanhoof, Krassimira Ivanova, Krassimir Markov, 2013 .

Creating synthetic diary data using sequential probability distributions

Davy Janssens, Geert Wets, Tom Brijs, 2003 .

Querying event logs: Discovering non-events in event logs

Koen Vanhoof, Els Hannes, Jo Swinnen, 2010, 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering.

Prototypes construction from partial rankings to characterize the attractiveness of companies in Belgium

Koen Vanhoof, Rafael Bello, Elpiniki I. Papageorgiou, 2016, Appl. Soft Comput..

Semantic and Abstraction Content of Art Images

Koen Vanhoof, Phillip Ein-Dor, Krassimira Ivanova, 2010, MCIS.

Analysis of Company Growth Data Using Genetic Algorithms on Binary Trees

Koen Vanhoof, Gerrit K. Janssens, Kenneth Sörensen, 2005, PAKDD.

Defining interestingness for association rules

Geert Wets, Tom Brijs, Koen Vanhoof, 2003 .

A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies’ Attractiveness

Koen Vanhoof, Gonzalo Nápoles, Elpiniki I. Papageorgiou, 2017 .

Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach

Koen Vanhoof, Rafael Bello, Gonzalo Nápoles, 2013, CIARP.

Simulation of sequential data: An enhanced reinforcement learning approach

Davy Janssens, Geert Wets, Koen Vanhoof, 2009, Expert Syst. Appl..

Fuzzy Cognitive Maps Employing ARIMA Components for Time Series Forecasting

Koen Vanhoof, Gonzalo Nápoles, Frank Vanhoenshoven, 2017, KES-IDT.

Fuzzy-Rough Cognitive Networks: Building Blocks and Their Contribution to Performance

Koen Vanhoof, Gonzalo Napoles, Marnick Vanloffelt, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Research on knowledge discovery methods in databases to predict logistical performances related to company’s Financial state: a meta-analysis

Koen Vanhoof, Daniella De Vos, H. Van Landeghem, 2008 .

A Fuzzy Cognitive Maps Modeling, Learning and Simulation Framework for Studying Complex System

Koen Vanhoof, Rafael Bello, Maikel León, 2011, IWINAC.

Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps

Koen Vanhoof, Gonzalo Nápoles, Rafael Falcon, 2020, IEEE Transactions on Fuzzy Systems.

Fuzzy Activation of Rough Cognitive Ensembles Using OWA Operators

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2019, Uncertainty Management with Fuzzy and Rough Sets.

Machine learning techniques for marketing: a case study

Koen Vanhoof, Gilbert Swinnen, 1995 .

Using Fuzzy Cognitive Maps to predict the economic sustainability of Jordan Social Security

Koen Vanhoof, George Sammour, Ahmad Al Ghzawi, 2017 .

Fuzzy-Rough Cognitive Networks

Koen Vanhoof, Rafael Bello, Carlos Mosquera, 2018, Neural Networks.

Integrating classification and association rules by proposing adaptations to the CBA algorithm

Davy Janssens, Tom Brijs, Koen Vanhoof, 2003 .

Fuzzy Cognitive Modeling: Theoretical and Practical Considerations

Koen Vanhoof, Gonzalo Nápoles, Rafael Bello, 2019, KES-IDT.

A computational tool for simulation and learning of Fuzzy Cognitive Maps

Koen Vanhoof, Rafael Bello, Elpiniki I. Papageorgiou, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Deep neural network to extract high-level features and labels in multi-label classification problems

Koen Vanhoof, Marilyn Bello, Gonzalo Nápoles, 2020, Neurocomputing.

Road safety performance evaluation based on a multiple layer data envelopment analysis model

Geert Wets, Tom Brijs, Koen Vanhoof, 2009 .

From Undirected Structures to Directed Graphical Lasso Fuzzy Cognitive Maps using Ranking-based Approaches

Koen Vanhoof, Elpiniki I. Papageorgiou, Zoumpolia Dikopoulou, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Weighted aggregation of partial rankings using Ant Colony Optimization

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2017, Neurocomputing.

"PaGaNe" – A CLASSIFICATION MACHINE LEARNING SYSTEM BASED ON THE MULTIDIMENSIONAL NUMBERED INFORMATION SPACES

Koen Vanhoof, Vitalii Velychko, Peter Stanchev, 2009 .

Nonsynaptic Error Backpropagation in Long-Term Cognitive Networks

Koen Vanhoof, Rafael Falcon, Gonzalo Napoles, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Does Process Mining Add to Internal Auditing? An Experience Report

Koen Vanhoof, Benoît Depaire, Mieke Jans, 2011, BMMDS/EMMSAD.

Methods to Edit Multi-label Training Sets Using Rough Sets Theory

Koen Vanhoof, Rafael Bello, Gonzalo Nápoles, 2019, IJCRS.

Collecting activity-travel diary data by means of a hand-held computer-assisted data collection tool

Davy Janssens, Koen Vanhoof, Geert Wets, 2004 .

Comparing Complete and Partial Classification for Identifying Latently Dissatisfied Customers

Geert Wets, Tom Brijs, Koen Vanhoof, 2000, ECML.

A hybrid system of neural networks and rough sets for road safety performance indicators

Geert Wets, Tom Brijs, Koen Vanhoof, 2010, Soft Comput..

Data mining and marketing approach to track customer movements

Koen Vanhoof, George Sammour, Jeanne Schreurs, 2009 .

Multidimensional Sequence Alignment Methods: Discovering Navigation Patterns on Web Sites Presenting Page- and Time Information

Geert Wets, Koen Vanhoof, Birgit Hay, 2002, ICMLA.

Applying Bayesian Networks in Practical Customer Satisfaction studies

Geert Wets, Koen Vanhoof, Waldemar Jaronski, 2002, SEAL.

Synaptic Learning of Long-Term Cognitive Networks with Inputs

Koen Vanhoof, Gonzalo Nápoles, Rafael Bello, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

A Data Mining Framework for Optimal Product Selection in Convenience Stores

Geert Wets, Tom Brijs, Koen Vanhoof, 2000, ECIS.

Customer Interaction Networks Based on Multiple Instance Similarities

Koen Vanhoof, Gonzalo Nápoles, Ivett Fuentes, 2020, BIS.

Clustering of Fuzzy Cognitive Maps for Travel Behavior Analysis

Koen Vanhoof, Da Ruan, Benoît Depaire, 2012, IS-MiS.

Making Compliance Measures Actionable: A New Compliance Analysis Approach

Koen Vanhoof, Benoît Depaire, Mieke Jans, 2011, Business Process Management Workshops.

Predictive coding in different colour spaces

Koen Vanhoof, Stefaan Desmet, Luc Van Eycken, 1988 .

Detecting malicious URLs using machine learning techniques

Koen Vanhoof, Mario Köppen, Rafael Falcon, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning

Geert Wets, Koen Vanhoof, Gilbert Swinnen, 1999, PKDD.

A classification model for firm growth on the basis of ambitions, external potential and resources by means of an inductive analysis

Koen Vanhoof, Arthur Limere, Kathleen Cleeren, 2003 .

Business Process Mining for Internal Fraud Risk Reduction: Results of a Case Study

Koen Vanhoof, Jan Martijn E. M. van der Werf, Mieke Jans, 2008 .

The role of knowledge management and e-learning in professional development

Koen Vanhoof, Abdullah Y. Al-Zoubi, Jeanne Schreurs, 2008, Int. J. Knowl. Learn..

Best Next Preference Prediction Based on LSTM and Multi-level Interactions

Koen Vanhoof, Gonzalo Nápoles, Leticia Arco, 2021, IntelliSys.

Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections

Koen Vanhoof, Rafael Bello, María Matilde García Lorenzo, 2021, IWAIPR.

Measuring Wind Turbine Health Using Drifting Concepts pdf

Koen Vanhoof, Agnieszka Jastrzebska, Yamisleydi Salgueiro, 2021, ArXiv.

Online learning of windmill time series using Long Short-term Cognitive Networks pdf

Koen Vanhoof, Agnieszka Jastrzebska, Yamisleydi Salgueiro, 2021, ArXiv.

Nonsynaptic Backpropagation Learning of Interval-valued Long-term Cognitive Networks

Koen Vanhoof, Rafael Bello, Mabel Frias Dominguez, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Data quality measures based on granular computing for multi-label classification

Koen Vanhoof, Rafael Bello, Gonzalo Nápoles, 2021, Inf. Sci..

A generalized multiple layer data envelopment analysis model

Geert Wets, Tom Brijs, Koen Vanhoof, 2009 .

Using Shopping Baskets to Cluster Supermarket Shoppers

Geert Wets, Tom Brijs, Koen Vanhoof, 2001 .

Attribute importance: assessing nonlinear patterns of factors contributing to customer satisfaction

Koen Vanhoof, Gilbert Swinnen, K. Vanhoof, 1996 .

A qualitative analysis of small and medium sized enterprises

Koen Vanhoof, G. Houben, K. Lenie, 1995, Proceedings the 11th Conference on Artificial Intelligence for Applications.

Multi criteria methods used for assessing for companies' attractiveness

Koen Vanhoof, Elpiniki I. Papageorgiou, Gonzalo Nápoles, 2015 .

Sustainable Road Transport in the European Union

Geert Wets, Tom Brijs, Koen Vanhoof, 2011 .

Credit classification: A comparison of logit models and decision trees

Koen Vanhoof, P.P.M. Joos, K. Vanhoof, 1998 .

The determinants of collateral: a decision tree analysis of SME loans

Koen Vanhoof, Tensie Steijvers, Wim Voordeckers, 2005 .

Applying Associative Classifier PGN for Digitised Cultural Heritage Resource Discovery

Koen Vanhoof, Krassimira Ivanova, Benoît Depaire, 2011, Digital Presentation and Preservation of Cultural and Scientific Heritage.

Using Association Rules for Product Assortment Decisions in Automated Convenience Stores

Geert Wets, Tom Brijs, Koen Vanhoof, 1999 .

A DEA-based Malmquist productivity index approach in assessing road safety performance

Geert Wets, Tom Brijs, Koen Vanhoof, 2010 .

Structure of association rule classifiers: a review

Koen Vanhoof, Benoît Depaire, 2010, 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering.

Identifying latently dissatisfied customers and measures for dissatisfaction management

Tom Brijs, Koen Vanhoof, Gilbert Swinnen, 2002 .

Stationary and Time-Varying Patterns in Activity Diary Panel Data: Explorative Analysis with Association Rules

Geert Wets, Koen Vanhoof, Harry Timmermans, 2002 .

The application of uninorms in importance-performance analysis

Geert Wets, Koen Vanhoof, Benoît Depaire, 2006 .