Comparing Two Hybrid Expert System Shells. - Koen Vanhoof; Jerzy Surma (Int. J. Softw. Eng. Knowl. Eng., 1994)

Integration Rules and Cases for the Classification Task. - Jerzy Surma; Koen Vanhoof (ICCBR, 1995)

A Case Study in Loyality and Satisfaction Research. - Koen Vanhoof; Josée Bloemer; K. Pauwels (ECML, 1997)

Cost Sensitive Discretization of Numeric Attributes. - Tom Brijs; Koen Vanhoof (PKDD, 1998)

Using Association Rules for Product Assortment Decisions: A Case Study. - Tom Brijs; Gilbert Swinnen; Koen Vanhoof; Geert Wets (KDD, 1999)

The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning. - Filip Coenen; Gilbert Swinnen; Koen Vanhoof; Geert Wets (PKDD, 1999)

A knowledge-based SWOT-analysis system as an instrument for strategic planning in small and medium sized enterprises. - Geert-Jan Houben; K. Lenie; Koen Vanhoof (Decis. Support Syst., 1999)

A Data Mining Framework for Optimal Product Selection in Convenience Stores. - Tom Brijs; Gilbert Swinnen; Koen Vanhoof; Geert Wets (ECIS, 2000)

Comparing Complete and Partial Classification for Identifying Latently Dissatisfied Customers. - Tom Brijs; Gilbert Swinnen; Koen Vanhoof; Geert Wets (ECML, 2000)

A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model. - Tom Brijs; Bart Goethals; Gilbert Swinnen; Koen Vanhoof; Geert Wets (KDD, 2000)

Reducing redundancy in characteristic rule discovery by using integer programming techniques. - Tom Brijs; Koen Vanhoof; Geert Wets (Intell. Data Anal., 2000)

Multidimensional Sequence Alignment Methods: Discovering Navigation Patterns on Web Sites Presenting Page- and Time Information. - Birgit Hay; Geert Wets; Koen Vanhoof (ICMLA, 2002)

Web Usage Mining by Means of Multidimensional Sequence Alignment Methods. - Birgit Hay; Geert Wets; Koen Vanhoof (WEBKDD, 2002)

Applying Bayesian Networks in Practical Customer Satisfaction studies. - Waldemar Jaronski; Josée Bloemer; Koen Vanhoof; Geert Wets (SEAL, 2002)

Discovering Interesting Navigations on a Web Site Using SAMI. - Birgit Hay; Geert Wets; Koen Vanhoof (ITWP, 2003)

Exploiting sensitivity analysis in Bayesian networks for customer satisfaction study. - Waldemar Jaronski; Josée Bloemer; Koen Vanhoof; Geert Wets (Intelligent Information Systems, 2004)

Building an Association Rules Framework to Improve Product Assortment Decisions. - Tom Brijs; Gilbert Swinnen; Koen Vanhoof; Geert Wets (Data Min. Knowl. Discov., 2004)

Bankruptcy prediction using a data envelopment analysis. - Anja Cielen; Ludo Peeters; Koen Vanhoof (Eur. J. Oper. Res., 2004)

Mining Navigation Patterns Using a Sequence Alignment Method. - Birgit Hay; Geert Wets; Koen Vanhoof (Knowl. Inf. Syst., 2004)

Inductive Development of Customer e-Loyalty Theory with Bayesian Networks. - Waldemar Jaronski; Koen Vanhoof; Josée Bloemer (CORES, 2005)

Analysis of Company Growth Data Using Genetic Algorithms on Binary Trees. - Gerrit K. Janssens; Kenneth Sörensen; Arthur Limère; Koen Vanhoof (PAKDD, 2005)

The development of an adapted Markov chain modelling heuristic and simulation framework in the context of transportation research. - Davy Janssens; Geert Wets; Tom Brijs; Koen Vanhoof (Expert Syst. Appl., 2005)

Adapting the CBA algorithm by means of intensity of implication. - Davy Janssens; Geert Wets; Tom Brijs; Koen Vanhoof (Inf. Sci., 2005)

Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportation System. - Davy Janssens; Geert Wets; Tom Brijs; Koen Vanhoof (Intelligent Data Mining, 2005)

Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction. - Koen Vanhoof; Pieter Pauwels; József Dombi 001; Tom Brijs; Geert Wets (Intelligent Data Mining, 2005)

Using Fuzzy Set Theory to Assess Country-of-Origin Effects on the Formation of Product Attitude. - Kris Brijs; Koen Vanhoof; Tom Brijs; Dimitris Karlis (MDAI, 2006)

Evaluating the performance of cost-based discretization versus entropy- and error-based discretization. - Davy Janssens; Tom Brijs; Koen Vanhoof; Geert Wets (Comput. Oper. Res., 2006)

Integrating Bayesian networks and decision trees in a sequential rule-based transportation model. - Davy Janssens; Geert Wets; Tom Brijs; Koen Vanhoof; Theo A. Arentze; Harry J. P. Timmermans (Eur. J. Oper. Res., 2006)

The Importance of Aggregation Operator Characteristics in Marketing Research. - Kris Brijs; Benoît Depaire; Koen Vanhoof; Tom Brijs; Geert Wets (ICEIS (2), 2007)

Evaluation of ordinal attributes at value level. - Marko Robnik-Sikonja; Koen Vanhoof (Data Min. Knowl. Discov., 2007)

Research Challenges in Ubiquitous Knowledge Discovery. - Michael May 001; Bettina Berendt; Antoine Cornuéjols; João Gama 001; Fosca Giannotti; Andreas Hotho; Donato Malerba; Ernestina Menasalvas; Katharina Morik; Rasmus Ulslev Pedersen; Lorenza Saitta; Yücel Saygin; et al. (Next Generation of Data Mining, 2008)

ARUBAS: An Association Rule Based Similarity Framework for Associative Classifiers. - Benoît Depaire; Koen Vanhoof; Geert Wets (ICDM Workshops, 2008)

Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering. - Rafael Falcón; Benoît Depaire; Koen Vanhoof; Ajith Abraham (ISDA (3), 2008)

Development of a composite road safety performance indicator based on neural networks. - Yongjun Shen; Elke Hermans; Da Ruan 001; Geert Wets; Koen Vanhoof; Tom Brijs (ISKE, 2008)

Knowledge Management and eLearning in Professional Development. - George Nicola Sammour; Jeanne Schreurs; Abdullah Y. Al-Zoubi; Koen Vanhoof (WSKS (2), 2008)

The role of knowledge management and e-learning in professional development. - George Nicola Sammour; Jeanne Schreurs; Abdullah Y. Al-Zoubi; Koen Vanhoof (Int. J. Knowl. Learn., 2008)

Identiying Homogenous Customer Segments for Low Risk Email Marketing Experiments. - George Nicola Sammour; Benoît Depaire; Koen Vanhoof; Geert Wets (ICEIS (4), 2009)

Ordinal Evaluation: A New Perspective on Country Images. - Marko Robnik-Sikonja; Kris Brijs; Koen Vanhoof (ICDM, 2009)

Simulation of sequential data: An enhanced reinforcement learning approach. - Marlies Vanhulsel; Davy Janssens; Geert Wets; Koen Vanhoof (Expert Syst. Appl., 2009)

Features for Art Painting Classification Based on Vector Quantization of MPEG-7 Descriptors. - Krassimira Ivanova; Peter Stanchev; Evgeniya Velikova; Koen Vanhoof; Benoît Depaire; Rajkumar Kannan; Iliya Mitov; Krassimir Markov (ICDEM, 2010)

A Decision Support Tool for Evaluating Loyalty and Word-of-Mouth Using Model-Based Knowledge Discovery. - Benoît Depaire; Koen Vanhoof; Geert Wets (IEA/AIE (1), 2010)

Evaluation and comparison of business process modeling methodologies for small and midsized enterprises. - Fatma Aksu; Koen Vanhoof; Liesbet De Munck (ISKE, 2010)

Querying event logs: Discovering non-events in event logs. - Jo Swinnen; Koen Vanhoof; Els Hannes (ISKE, 2010)

Structure of association rule classifiers: a review. - Koen Vanhoof; Benoît Depaire (ISKE, 2010)

Semantic and Abstraction Content of Art Images. - Krassimira Ivanova; Peter Stanchev; Koen Vanhoof; Phillip Ein-Dor (MCIS, 2010)

Fuzzy Cognitive Maps for Modeling Complex Systems. - Maikel León; Ciro Rodriguez; María M. García; Rafael Bello 001; Koen Vanhoof (MICAI (1), 2010)

Internal fraud risk reduction: Results of a data mining case study. - Mieke Jans; Nadine Lybaert; Koen Vanhoof (Int. J. Account. Inf. Syst., 2010)

Road safety risk evaluation by means of ordered weighted averaging operators and expert knowledge. - Elke Hermans; Da Ruan 001; Tom Brijs; Geert Wets; Koen Vanhoof (Knowl. Based Syst., 2010)

A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior Sciences. - Maikel León; Gonzalo Nápoles; María M. García; Rafael Bello 001; Koen Vanhoof (Polibits, 2010)

A hybrid system of neural networks and rough sets for road safety performance indicators. - Yongjun Shen; Tianrui Li 001; Elke Hermans; Da Ruan 001; Geert Wets; Koen Vanhoof; Tom Brijs (Soft Comput., 2010)

Application Challenges for Ubiquitous Knowledge Discovery. - Koen Vanhoof; Ina Lauth (Ubiquitous Knowledge Discovery, 2010)

Making Compliance Measures Actionable: A New Compliance Analysis Approach. - Nour Damer; Mieke J. Jans; Benoît Depaire; Koen Vanhoof (Business Process Management Workshops (1), 2011)

A Process Deviation Analysis - A Case Study. - Jo Swinnen; Benoît Depaire; Mieke J. Jans; Koen Vanhoof (Business Process Management Workshops (1), 2011)

Does Process Mining Add to Internal Auditing? An Experience Report. - Mieke Jans; Benoît Depaire; Koen Vanhoof (BMMDS/EMMSAD, 2011)

A Fuzzy Cognitive Maps Modeling, Learning and Simulation Framework for Studying Complex System. - Maikel León; Gonzalo Nápoles; Ciro Rodriguez; María M. García; Rafael Bello 001; Koen Vanhoof (IWINAC (2), 2011)

Two Steps Individuals Travel Behavior Modeling through Fuzzy Cognitive Maps Pre-definition and Learning. - Maikel León; Gonzalo Nápoles; María M. García; Rafael Bello 001; Koen Vanhoof (MICAI (2), 2011)

An interactive computer-based interface to support the discovery of individuals' mental representations and preferences in decisions problems: An application to travel behavior. - Diana Kusumastuti; Els Hannes; Benoît Depaire; Koen Vanhoof; Davy Janssens; Geert Wets; Benedict G. C. Dellaert (Comput. Hum. Behav., 2011)

A business process mining application for internal transaction fraud mitigation. - Mieke Jans; Jan Martijn E. M. van der Werf; Nadine Lybaert; Koen Vanhoof (Expert Syst. Appl., 2011)

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 001; Geert Wets; Tom Brijs; Koen Vanhoof (Expert Syst. Appl., 2011)

PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments. - Benoît Depaire; Rafael Falcón; Koen Vanhoof; Geert Wets (Intell. Data Anal., 2011)

Modeling qualitative data in data envelopment analysis for composite indicators. - Yongjun Shen; Da Ruan 001; Elke Hermans; Tom Brijs; Geert Wets; Koen Vanhoof (Int. J. Syst. Assur. Eng. Manag., 2011)

A Process Deviation Analysis Framework. - Benoît Depaire; Jo Swinnen; Mieke Jans; Koen Vanhoof (Business Process Management Workshops, 2012)

Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling. - Maikel León; Lusine Mkrtchyan; Benoît Depaire; Da Ruan 001; Rafael Bello 001; Koen Vanhoof (ICANN (1), 2012)

Clustering of Fuzzy Cognitive Maps for Travel Behavior Analysis. - Lusine Mkrtchyan; Maikel León; Benoît Depaire; Da Ruan 001; Koen Vanhoof (IS-MiS, 2012)

A decision support tool for evaluating customer intentions. - Benoît Depaire; Koen Vanhoof; Geert Wets (Expert Syst. Appl., 2012)

Mental maps and travel behaviour: meanings and models. - Els Hannes; Diana Kusumastuti; Maikel León Espinosa; Davy Janssens; Koen Vanhoof; Geert Wets (J. Geogr. Syst., 2012)

An Excellent Guest Professor in Hasselt University. - Geert Wets; Elke Hermans; Davy Janssens; Koen Vanhoof; Edith Donders; Qiong Bao; Yongjun Shen; Banghua Yang (A Tribute to Prof. Dr. Da Ruan, 2013)

Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach. - Gonzalo Nápoles; Rafael Bello 001; Koen Vanhoof (CIARP (1), 2013)

Fuzzy Cognitive Maps with Rough Concepts. - Maikel León; Benoît Depaire; Koen Vanhoof (AIAI, 2013)

Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps. - Maikel León; Gonzalo Nápoles; Rafael Bello 001; Lusine Mkrtchyan; Benoît Depaire; Koen Vanhoof (Int. J. Comput. Intell. Syst., 2013)

Towards a General Framework for Business Tests. - Marijke Swennen; Benoît Depaire; Koen Vanhoof; Mieke Jans (ICEIS (3), 2014)

Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making. - Gonzalo Nápoles; Isel Grau; Koen Vanhoof; Rafael Bello 001 (RSEISP, 2014)

How to improve the convergence on sigmoid Fuzzy Cognitive Maps? - Gonzalo Nápoles; Rafael Bello 001; Koen Vanhoof (Intell. Data Anal., 2014)

Learning and clustering of fuzzy cognitive maps for travel behaviour analysis. - Maikel León; Lusine Mkrtchyan; Benoît Depaire; Da Ruan 001; Koen Vanhoof (Knowl. Inf. Syst., 2014)

A computational tool for simulation and learning of Fuzzy Cognitive Maps. - Gonzalo Nápoles; Isel Grau; Rafael Bello 001; Maikel León; Koen Vanhoof; Elpiniki Papageorgiou (FUZZ-IEEE, 2015)

Aggregation of Partial Rankings - An Approach Based on the Kemeny Ranking Problem. - Gonzalo Nápoles; Zoumpoulia Dikopoulou; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (IWANN (2), 2015)

Batch Processing: Definition and Event Log Identification. - Niels Martin; Marijke Swennen; Benoît Depaire; Mieke Jans; An Caris; Koen Vanhoof (SIMPDA, 2015)

Capturing Process Behavior with Log-Based Process Metrics. - Marijke Swennen; Gert Janssenswillen; Mieke Jans; Benoît Depaire; Koen Vanhoof (SIMPDA, 2015)

Partitive granular Cognitive Maps to graded multilabel classification. - Gonzalo Nápoles; Rafael Falcon; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (FUZZ-IEEE, 2016)

Capturing Resource Behaviour From Event Logs. - Marijke Swennen; Niels Martin; Gert Janssenswillen; Mieke Jans; Benoît Depaire; An Caris; Koen Vanhoof (SIMPDA, 2016)

Analyzing the impact of the adaptive clearing mechanism on algorithm accuracy in Variable Mesh Optimization. - Frank Vanhoenshoven; Gonzalo Nápoles; Mathijs Creemers; Maikel León Espinosa; Koen Vanhoof (SSCI, 2016)

Detecting malicious URLs using machine learning techniques. - Frank Vanhoenshoven; Gonzalo Nápoles; Rafael Falcon; Koen Vanhoof; Mario Köppen (SSCI, 2016)

Prototypes construction from partial rankings to characterize the attractiveness of companies in Belgium. - Gonzalo Nápoles; Zoumpoulia Dikopoulou; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Appl. Soft Comput., 2016)

On the convergence of sigmoid Fuzzy Cognitive Maps. - Gonzalo Nápoles; Elpiniki I. Papageorgiou; Rafael Bello 001; Koen Vanhoof (Inf. Sci., 2016)

Rough Cognitive Networks. - Gonzalo Nápoles; Isel Grau; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Knowl. Based Syst., 2016)

A Granular Intrusion Detection System Using Rough Cognitive Networks. - Gonzalo Nápoles; Isel Grau; Rafael Falcon; Rafael Bello 001; Koen Vanhoof (Recent Advances in Computational Intelligence in Defense and Security, 2016)

Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges. - Gonzalo Nápoles; Maikel León Espinosa; Isel Grau; Koen Vanhoof; Rafael Bello 001 (Soft Computing Based Optimization and Decision Models, 2017)

A new approach using mixed graphical model for automatic design of fuzzy cognitive maps from ordinal data. - Zoumpoulia Dikopoulou; Elpiniki Papageorgiou; Vijay Kumar Mago; Koen Vanhoof (FUZZ-IEEE, 2017)

Fuzzy Cognitive Maps Tool for Scenario Analysis and Pattern Classification. - Gonzalo Nápoles; Maikel León; Isel Grau; Koen Vanhoof (ICTAI, 2017)

Forecasting Social Security Revenues in Jordan Using Fuzzy Cognitive Maps. - Ahmad Zyad Alghzawi; Gonzalo Nápoles; George Sammour; Koen Vanhoof (KES-IDT (1), 2017)

Fuzzy Cognitive Maps Employing ARIMA Components for Time Series Forecasting. - Frank Vanhoenshoven; Gonzalo Nápoles; Samantha Bielen; Koen Vanhoof (KES-IDT (1), 2017)

Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers. - Mabel Frias Dominguez; Yaima Filiberto; Gonzalo Nápoles; Yadira García-Socarrás; Koen Vanhoof; Rafael Bello 001 (MICAI (1), 2017)

Retrieving batch organisation of work insights from event logs. - Niels Martin; Marijke Swennen; Benoît Depaire; Mieke Jans; An Caris; Koen Vanhoof (Decis. Support Syst., 2017)

Rough cognitive ensembles. - Gonzalo Nápoles; Rafael Falcon; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Int. J. Approx. Reason., 2017)

Weighted aggregation of partial rankings using Ant Colony Optimization. - Gonzalo Nápoles; Rafael Falcon; Zoumpoulia Dikopoulou; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Neurocomputing, 2017)

A model to improve management of banking customers. - Antonia Estrella-Ramon; Manuel Sánchez-Pérez; Gilbert Swinnen; Koen Vanhoof (Ind. Manag. Data Syst., 2017)

Learning and Convergence of Fuzzy Cognitive Maps Used in Pattern Recognition. - Gonzalo Nápoles; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Neural Process. Lett., 2017)

Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results. - Gerardo Felix; Gonzalo Nápoles; Rafael Falcon; Rafael Bello 001; Koen Vanhoof (CIVEMSA, 2018)

Customer Segmentation Using Multiple Instance Clustering and Purchasing Behaviors. - Ivett Fuentes; Gonzalo Nápoles; Leticia Arco; Koen Vanhoof (IWAIPR, 2018)

Expanding MLkNN Using Extended Rough Set Theory. - Gabriela Pérez; Marilyn Bello-García; Gonzalo Nápoles; María Matilde García Lorenzo; Rafael Bello 001; Koen Vanhoof (IWAIPR, 2018)

FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps. - Gonzalo Nápoles; Maikel León Espinosa; Isel Grau; Koen Vanhoof (Int. J. Artif. Intell. Tools, 2018)

Fuzzy-Rough Cognitive Networks. - Gonzalo Nápoles; Carlos Mosquera; Rafael Falcon; Isel Grau; Rafael Bello 001; Koen Vanhoof (Neural Networks, 2018)

On the Accuracy-Convergence Tradeoff in Sigmoid Fuzzy Cognitive Maps. - Gonzalo Nápoles; Leonardo Concepción; Rafael Falcon; Rafael Bello 001; Koen Vanhoof (IEEE Trans. Fuzzy Syst., 2018)

Reduction Methods for Multi-Label Datasets Based on Granular Computing. - Marilyn Bello; Gonzalo Nápoles; Koen Vanhoof; Rafael Bello 001 (BNAIC/BENELEARN, 2019)

Prototypes Generation from Multi-label Datasets Based on Granular Computing. - Marilyn Bello; Gonzalo Nápoles; Koen Vanhoof; Rafael Bello 001 (CIARP, 2019)

Fuzzy-Rough Cognitive Networks: Building Blocks and Their Contribution to Performance. - Marnick Vanloffelt; Gonzalo Nápoles; Koen Vanhoof (ICMLA, 2019)

Synaptic Learning of Long-Term Cognitive Networks with Inputs. - Richar Sosa; Alejandro Alfonso; Gonzalo Nápoles; Rafael Bello 001; Koen Vanhoof; Ann Nowé (IJCNN, 2019)

Fuzzy Cognitive Modeling: Theoretical and Practical Considerations. - Gonzalo Nápoles; Jose L. Salmeron; Wojciech Froelich; Rafael Falcon; Maikel León Espinosa; Frank Vanhoenshoven; Rafael Bello 001; Koen Vanhoof (KES-IDT (1), 2019)

Methods to Edit Multi-label Training Sets Using Rough Sets Theory. - Marilyn Bello; Gonzalo Nápoles; Koen Vanhoof; Rafael Bello 001 (IJCRS, 2019)

A Preliminary Study on Symbolic Fuzzy Cognitive Maps for Pattern Classification. - Mabel Frias Dominguez; Gonzalo Nápoles; Yaima Filiberto; Rafael Bello 001; Koen Vanhoof (WEA, 2019)

A review on methods and software for fuzzy cognitive maps. - Gerardo Felix; Gonzalo Nápoles; Rafael Falcon; Wojciech Froelich; Koen Vanhoof; Rafael Bello 001 (Artif. Intell. Rev., 2019)

bupaR: Enabling reproducible business process analysis. - Gert Janssenswillen; Benoît Depaire; Marijke Swennen; Mieke Jans; Koen Vanhoof (Knowl. Based Syst., 2019)

Short-term cognitive networks, flexible reasoning and nonsynaptic learning. - Gonzalo Nápoles; Frank Vanhoenshoven; Koen Vanhoof (Neural Networks, 2019)

Customer Interaction Networks Based on Multiple Instance Similarities. - Ivett Fuentes; Gonzalo Nápoles; Leticia Arco; Koen Vanhoof (BIS, 2020)

Retrieving Sparser Fuzzy Cognitive Maps Directly from Categorical Ordinal Dataset using the Graphical Lasso Models and the MAX-threshold Algorithm. - Zoumpoulia Dikopoulou; Elpiniki I. Papageorgiou; Koen Vanhoof (FUZZ-IEEE, 2020)

From Undirected Structures to Directed Graphical Lasso Fuzzy Cognitive Maps using Ranking-based Approaches. - Zoumpoulia Dikopoulou; Elpiniki I. Papageorgiou; Koen Vanhoof (FUZZ-IEEE, 2020)

A Fuzzy Cognitive Map Approach to Investigate the Sustainability of the Social Security System in Jordan. - George Sammour; Ahmad Alghzawi; Koen Vanhoof (ICEIS (1), 2020)

Outliers Detection in Multi-label Datasets. - Marilyn Bello; Gonzalo Nápoles; Rafael Morera; Koen Vanhoof; Rafael Bello 001 (MICAI (1), 2020)

Feature and Label Association Based on Granulation Entropy for Deep Neural Networks. - Marilyn Bello; Gonzalo Nápoles; Ricardo Sánchez; Koen Vanhoof; Rafael Bello 001 (IJCRS, 2020)

On the Behavior of Fuzzy Grey Cognitive Maps. - Leonardo Concepción; Gonzalo Nápoles; Rafael Bello 001; Koen Vanhoof (IJCRS, 2020)

Rough Net Approach for Community Detection Analysis in Complex Networks. - Ivett Fuentes; Arian Pina; Gonzalo Nápoles; Leticia Arco; Koen Vanhoof (IJCRS, 2020)

Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting. - Frank Vanhoenshoven; Gonzalo Nápoles; Wojciech Froelich; Jose L. Salmeron; Koen Vanhoof (Appl. Soft Comput., 2020)

Deep neural network to extract high-level features and labels in multi-label classification problems. - Marilyn Bello; Gonzalo Nápoles; Ricardo Sánchez; Rafael Bello 001; Koen Vanhoof (Neurocomputing, 2020)

Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches. - Gonzalo Nápoles; Agnieszka Jastrzebska; Carlos Mosquera; Koen Vanhoof; Wladyslaw Homenda (Neural Networks, 2020)

Nonsynaptic Error Backpropagation in Long-Term Cognitive Networks. - Gonzalo Nápoles; Frank Vanhoenshoven; Rafael Falcon; Koen Vanhoof (IEEE Trans. Neural Networks Learn. Syst., 2020)

Nonsynaptic Backpropagation Learning of Interval-valued Long-term Cognitive Networks. - Mabel Frias Dominguez; Gonzalo Nápoles; Koen Vanhoof; Yaima Filiberto; Rafael Bello 001 (IJCNN, 2021)

Best Next Preference Prediction Based on LSTM and Multi-level Interactions. - Ivett Fuentes; Gonzalo Nápoles; Leticia Arco; Koen Vanhoof (IntelliSys (1), 2021)

Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections. - Marilyn Bello; Yaumara Aguilera; Gonzalo Nápoles; María M. García; Rafael Bello 001; Koen Vanhoof (IWAIPR, 2021)

Measuring Wind Turbine Health Using Drifting Concepts. - Agnieszka Jastrzebska; Alejandro Morales Hernández; Gonzalo Nápoles; Yamisleydi Salgueiro; Koen Vanhoof (CoRR, 2021)

Natural language techniques supporting decision modelers. - Leticia Arco; Gonzalo Nápoles; Frank Vanhoenshoven; Ana Laura Lara; Gladys Casas; Koen Vanhoof (Data Min. Knowl. Discov., 2021)

Data quality measures based on granular computing for multi-label classification. - Marilyn Bello; Gonzalo Nápoles; Koen Vanhoof; Rafael Bello 001 (Inf. Sci., 2021)

Construction and Supervised Learning of Long-Term Grey Cognitive Networks. - Gonzalo Nápoles; Jose L. Salmeron; Koen Vanhoof (IEEE Trans. Cybern., 2021)

Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps. - Leonardo Concepción; Gonzalo Nápoles; Rafael Falcon; Koen Vanhoof; Rafael Bello 001 (IEEE Trans. Fuzzy Syst., 2021)

Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation. - Marilyn Bello; Gonzalo Nápoles; Koen Vanhoof; María M. García; Rafael Bello 001 (IJCNN, 2022)

Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks. - Mabel Frias; Gonzalo Nápoles; Yaima Filiberto; Rafael Bello 001; Koen Vanhoof (MICAI (1), 2022)

Online learning of windmill time series using Long Short-term Cognitive Networks. - Alejandro Morales Hernández; Gonzalo Nápoles; Agnieszka Jastrzebska; Yamisleydi Salgueiro; Koen Vanhoof (Expert Syst. Appl., 2022)

Evaluating time series similarity using concept-based models. - Agnieszka Jastrzebska; Gonzalo Nápoles; Yamisleydi Salgueiro; Koen Vanhoof (Knowl. Based Syst., 2022)

Métriques d'équité en Apprentissage Automatique et droit de l'Union Europénne en matière de non-discrimination. - Magali Legast; Yasaman Yousefi; Lisa Koutsoviti Koumeri; Axel Legay; Christoph Schommer; Koen Vanhoof (CNIA, 2023)

Compatibility of Fairness Metrics With EU Non-Discrimination Law: A Legal and Technical Case Study. - Yasaman Yousefi; Lisa Koutsoviti Koumeri; Magali Legast; Christoph Schommer; Koen Vanhoof; Axel Legay (EWAF, 2023)

Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps. - Isel Grau; Gonzalo Nápoles; Fabian Hoitsma; Lisa Koutsoviti Koumeri; Koen Vanhoof (IntelliSys (1), 2023)

Weighted t-Distributed Stochastic Neighbor Embedding for Projection-Based Clustering. - Gonzalo Nápoles; Leonardo Concepción; Büsra Özgöde Yigin; Görkem Saygili; Koen Vanhoof; Rafael Bello 001 (IWAIPR, 2023)

Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity. - Lisa Koutsoviti Koumeri; Magali Legast; Yasaman Yousefi; Koen Vanhoof; Axel Legay; Christoph Schommer (CoRR, 2023)

Fuzzy Cognitive Map-Driven Comprehensive Time-Series Classification. - Agnieszka Jastrzebska; Gonzalo Nápoles; Wladyslaw Homenda; Koen Vanhoof (IEEE Trans. Cybern., 2023)

Learning of Fuzzy Cognitive Map models without training data. - Gonzalo Nápoles; Isel Grau; Leonardo Concepción; Yamisleydi Salgueiro; Koen Vanhoof (Neurocomputing, 2025)