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2020 – today
- 2023
[j52]Agnieszka Jastrzebska
, Gonzalo Nápoles, Wladyslaw Homenda, Koen Vanhoof:
Fuzzy Cognitive Map-Driven Comprehensive Time-Series Classification. IEEE Trans. Cybern. 53(2): 1348-1359 (2023)- [c85]Magali Legast, Yasaman Yousefi, Lisa Koutsoviti Koumeri, Axel Legay, Christoph Schommer, Koen Vanhoof:
Métriques d'équité en Apprentissage Automatique et droit de l'Union Europénne en matière de non-discrimination. CNIA 2023 - [c84]Yasaman Yousefi, Lisa Koutsoviti Koumeri, Magali Legast, Christoph Schommer, Koen Vanhoof, Axel Legay:
Compatibility of Fairness Metrics With EU Non-Discrimination Law: A Legal and Technical Case Study. EWAF 2023 - [c83]Isel Grau, Gonzalo Nápoles, Fabian Hoitsma, Lisa Koutsoviti Koumeri, Koen Vanhoof:
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps. IntelliSys (1) 2023: 745-764 - [c82]Gonzalo Nápoles, Leonardo Concepción, Büsra Özgöde Yigin, Görkem Saygili, Koen Vanhoof, Rafael Bello:
Weighted t-Distributed Stochastic Neighbor Embedding for Projection-Based Clustering. IWAIPR 2023: 131-142 - [i6]Isel Grau, Gonzalo Nápoles, Fabian Hoitsma, Lisa Koutsoviti Koumeri, Koen Vanhoof:
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps. CoRR abs/2305.09399 (2023) - [i5]Lisa Koutsoviti Koumeri, Magali Legast, Yasaman Yousefi, Koen Vanhoof, Axel Legay, Christoph Schommer:
Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity. CoRR abs/2306.08394 (2023) - 2022
- [j51]Alejandro Morales Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro, Koen Vanhoof:
Online learning of windmill time series using Long Short-term Cognitive Networks. Expert Syst. Appl. 205: 117721 (2022) - [j50]Agnieszka Jastrzebska, Gonzalo Nápoles, Yamisleydi Salgueiro, Koen Vanhoof:
Evaluating time series similarity using concept-based models. Knowl. Based Syst. 238: 107811 (2022) - [c81]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, María M. García, Rafael Bello:
Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation. IJCNN 2022: 1-10 - [c80]Mabel Frias, Gonzalo Nápoles, Yaima Filiberto, Rafael Bello, Koen Vanhoof:
Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks. MICAI (1) 2022: 3-14 - 2021
- [j49]Leticia Arco, Gonzalo Nápoles, Frank Vanhoenshoven, Ana Laura Lara, Gladys Casas, Koen Vanhoof:
Natural language techniques supporting decision modelers. Data Min. Knowl. Discov. 35(1): 290-320 (2021) - [j48]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello:
Data quality measures based on granular computing for multi-label classification. Inf. Sci. 560: 51-67 (2021) - [j47]Gonzalo Nápoles, Jose L. Salmeron, Koen Vanhoof:
Construction and Supervised Learning of Long-Term Grey Cognitive Networks. IEEE Trans. Cybern. 51(2): 686-695 (2021) - [j46]Leonardo Concepción, Gonzalo Nápoles, Rafael Falcon, Koen Vanhoof, Rafael Bello:
Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 29(5): 1252-1261 (2021) - [c79]Mabel Frias Dominguez, Gonzalo Nápoles, Koen Vanhoof, Yaima Filiberto, Rafael Bello:
Nonsynaptic Backpropagation Learning of Interval-valued Long-term Cognitive Networks. IJCNN 2021: 1-9 - [c78]Ivett Fuentes, Gonzalo Nápoles, Leticia Arco, Koen Vanhoof:
Best Next Preference Prediction Based on LSTM and Multi-level Interactions. IntelliSys (1) 2021: 682-699 - [c77]Marilyn Bello, Yaumara Aguilera, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof:
Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections. IWAIPR 2021: 3-12 - [i4]Alejandro Morales Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro, Koen Vanhoof:
Online learning of windmill time series using Long Short-term Cognitive Networks. CoRR abs/2107.00425 (2021) - [i3]Agnieszka Jastrzebska, Alejandro Morales Hernández, Gonzalo Nápoles, Yamisleydi Salgueiro, Koen Vanhoof:
Measuring Wind Turbine Health Using Drifting Concepts. CoRR abs/2112.04933 (2021) - 2020
- [j45]Frank Vanhoenshoven, Gonzalo Nápoles, Wojciech Froelich, Jose L. Salmeron, Koen Vanhoof:
Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting. Appl. Soft Comput. 95: 106461 (2020) - [j44]Marilyn Bello, Gonzalo Nápoles, Ricardo Sánchez, Rafael Bello, Koen Vanhoof:
Deep neural network to extract high-level features and labels in multi-label classification problems. Neurocomputing 413: 259-270 (2020) - [j43]Gonzalo Nápoles, Agnieszka Jastrzebska, Carlos Mosquera, Koen Vanhoof, Wladyslaw Homenda:
Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches. Neural Networks 124: 258-268 (2020) - [j42]Gonzalo Nápoles, Frank Vanhoenshoven, Rafael Falcon, Koen Vanhoof:
Nonsynaptic Error Backpropagation in Long-Term Cognitive Networks. IEEE Trans. Neural Networks Learn. Syst. 31(3): 865-875 (2020) - [c76]Ivett Fuentes, Gonzalo Nápoles, Leticia Arco, Koen Vanhoof:
Customer Interaction Networks Based on Multiple Instance Similarities. BIS 2020: 279-290 - [c75]Zoumpoulia Dikopoulou, Elpiniki I. Papageorgiou, Koen Vanhoof:
Retrieving Sparser Fuzzy Cognitive Maps Directly from Categorical Ordinal Dataset using the Graphical Lasso Models and the MAX-threshold Algorithm. FUZZ-IEEE 2020: 1-8 - [c74]Zoumpoulia Dikopoulou, Elpiniki I. Papageorgiou, Koen Vanhoof:
From Undirected Structures to Directed Graphical Lasso Fuzzy Cognitive Maps using Ranking-based Approaches. FUZZ-IEEE 2020: 1-8 - [c73]George Sammour, Ahmad Alghzawi, Koen Vanhoof:
A Fuzzy Cognitive Map Approach to Investigate the Sustainability of the Social Security System in Jordan. ICEIS (1) 2020: 481-489 - [c72]Marilyn Bello, Gonzalo Nápoles, Rafael Morera, Koen Vanhoof, Rafael Bello:
Outliers Detection in Multi-label Datasets. MICAI (1) 2020: 65-75 - [c71]Marilyn Bello, Gonzalo Nápoles, Ricardo Sánchez, Koen Vanhoof, Rafael Bello:
Feature and Label Association Based on Granulation Entropy for Deep Neural Networks. IJCRS 2020: 225-235 - [c70]Ivett Fuentes, Arian Pina, Gonzalo Nápoles, Leticia Arco, Koen Vanhoof:
Rough Net Approach for Community Detection Analysis in Complex Networks. IJCRS 2020: 401-415 - [c69]Leonardo Concepción, Gonzalo Nápoles, Rafael Bello, Koen Vanhoof:
On the Behavior of Fuzzy Grey Cognitive Maps. IJCRS 2020: 462-476
2010 – 2019
- 2019
- [j41]Gerardo Felix, Gonzalo Nápoles, Rafael Falcon, Wojciech Froelich, Koen Vanhoof, Rafael Bello:
A review on methods and software for fuzzy cognitive maps. Artif. Intell. Rev. 52(3): 1707-1737 (2019) - [j40]Gert Janssenswillen, Benoît Depaire, Marijke Swennen, Mieke Jans, Koen Vanhoof:
bupaR: Enabling reproducible business process analysis. Knowl. Based Syst. 163: 927-930 (2019) - [j39]Gonzalo Nápoles, Frank Vanhoenshoven, Koen Vanhoof:
Short-term cognitive networks, flexible reasoning and nonsynaptic learning. Neural Networks 115: 72-81 (2019) - [c68]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello:
Reduction Methods for Multi-Label Datasets Based on Granular Computing. BNAIC/BENELEARN 2019 - [c67]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello:
Prototypes Generation from Multi-label Datasets Based on Granular Computing. CIARP 2019: 142-151 - [c66]Marnick Vanloffelt, Gonzalo Nápoles, Koen Vanhoof:
Fuzzy-Rough Cognitive Networks: Building Blocks and Their Contribution to Performance. ICMLA 2019: 922-928 - [c65]Richar Sosa, Alejandro Alfonso, Gonzalo Nápoles, Rafael Bello, Koen Vanhoof, Ann Nowé:
Synaptic Learning of Long-Term Cognitive Networks with Inputs. IJCNN 2019: 1-8 - [c64]Gonzalo Nápoles, Jose L. Salmeron, Wojciech Froelich, Rafael Falcon, Maikel León Espinosa, Frank Vanhoenshoven, Rafael Bello, Koen Vanhoof:
Fuzzy Cognitive Modeling: Theoretical and Practical Considerations. KES-IDT (1) 2019: 77-87 - [c63]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello:
Methods to Edit Multi-label Training Sets Using Rough Sets Theory. IJCRS 2019: 369-380 - [c62]Mabel Frias Dominguez, Gonzalo Nápoles, Yaima Filiberto, Rafael Bello, Koen Vanhoof:
A Preliminary Study on Symbolic Fuzzy Cognitive Maps for Pattern Classification. WEA 2019: 285-295 - 2018
- [j38]Gonzalo Nápoles, Maikel León Espinosa, Isel Grau, Koen Vanhoof:
FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps. Int. J. Artif. Intell. Tools 27(7): 1860010:1-1860010:25 (2018) - [j37]Gonzalo Nápoles, Carlos Mosquera, Rafael Falcon, Isel Grau, Rafael Bello, Koen Vanhoof:
Fuzzy-Rough Cognitive Networks. Neural Networks 97: 19-27 (2018) - [j36]Gonzalo Nápoles, Leonardo Concepción, Rafael Falcon, Rafael Bello, Koen Vanhoof:
On the Accuracy-Convergence Tradeoff in Sigmoid Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 26(4): 2479-2484 (2018) - [c61]Gerardo Felix, Gonzalo Nápoles, Rafael Falcon, Rafael Bello, Koen Vanhoof:
Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results. CIVEMSA 2018: 1-6 - [c60]Ivett Fuentes, Gonzalo Nápoles, Leticia Arco, Koen Vanhoof:
Customer Segmentation Using Multiple Instance Clustering and Purchasing Behaviors. IWAIPR 2018: 193-200 - [c59]Gabriela Pérez, Marilyn Bello-García, Gonzalo Nápoles, María Matilde García Lorenzo, Rafael Bello, Koen Vanhoof:
Expanding MLkNN Using Extended Rough Set Theory. IWAIPR 2018: 247-254 - [i2]Gonzalo Nápoles, Frank Vanhoenshoven, Koen Vanhoof:
Short-term Cognitive Networks, Flexible Reasoning and Nonsynaptic Learning. CoRR abs/1809.08085 (2018) - 2017
- [j35]Niels Martin, Marijke Swennen, Benoît Depaire, Mieke Jans, An Caris, Koen Vanhoof:
Retrieving batch organisation of work insights from event logs. Decis. Support Syst. 100: 119-128 (2017) - [j34]Gonzalo Nápoles, Rafael Falcon, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Rough cognitive ensembles. Int. J. Approx. Reason. 85: 79-96 (2017) - [j33]Gonzalo Nápoles, Rafael Falcon, Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Weighted aggregation of partial rankings using Ant Colony Optimization. Neurocomputing 250: 109-120 (2017) - [j32]Antonia Estrella-Ramon, Manuel Sánchez-Pérez, Gilbert Swinnen, Koen Vanhoof:
A model to improve management of banking customers. Ind. Manag. Data Syst. 117(2): 250-266 (2017) - [j31]Gonzalo Nápoles, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Learning and Convergence of Fuzzy Cognitive Maps Used in Pattern Recognition. Neural Process. Lett. 45(2): 431-444 (2017) - [c58]Gonzalo Nápoles, Maikel León Espinosa, Isel Grau, Koen Vanhoof, Rafael Bello:
Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges. Soft Computing Based Optimization and Decision Models 2017: 83-98 - [c57]Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Vijay Kumar Mago, Koen Vanhoof:
A new approach using mixed graphical model for automatic design of fuzzy cognitive maps from ordinal data. FUZZ-IEEE 2017: 1-6 - [c56]Gonzalo Nápoles, Maikel León, Isel Grau, Koen Vanhoof:
Fuzzy Cognitive Maps Tool for Scenario Analysis and Pattern Classification. ICTAI 2017: 644-651 - [c55]Ahmad Zyad Alghzawi, Gonzalo Nápoles, George Sammour, Koen Vanhoof:
Forecasting Social Security Revenues in Jordan Using Fuzzy Cognitive Maps. KES-IDT (1) 2017: 246-254 - [c54]Frank Vanhoenshoven, Gonzalo Nápoles, Samantha Bielen, Koen Vanhoof:
Fuzzy Cognitive Maps Employing ARIMA Components for Time Series Forecasting. KES-IDT (1) 2017: 255-264 - [c53]Mabel Frias Dominguez, Yaima Filiberto, Gonzalo Nápoles, Yadira García-Socarrás, Koen Vanhoof, Rafael Bello:
Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers. MICAI (1) 2017: 197-207 - 2016
- [j30]Gonzalo Nápoles, Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Prototypes construction from partial rankings to characterize the attractiveness of companies in Belgium. Appl. Soft Comput. 42: 276-289 (2016) - [j29]Gonzalo Nápoles, Elpiniki I. Papageorgiou, Rafael Bello, Koen Vanhoof:
On the convergence of sigmoid Fuzzy Cognitive Maps. Inf. Sci. 349-350: 154-171 (2016) - [j28]Gonzalo Nápoles, Isel Grau, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Rough Cognitive Networks. Knowl. Based Syst. 91: 46-61 (2016) - [c52]Gonzalo Nápoles, Rafael Falcon, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Partitive granular Cognitive Maps to graded multilabel classification. FUZZ-IEEE 2016: 1363-1370 - [c51]Marijke Swennen, Niels Martin, Gert Janssenswillen, Mieke Jans, Benoît Depaire, An Caris, Koen Vanhoof:
Capturing Resource Behaviour From Event Logs. SIMPDA 2016: 130-134 - [c50]Frank Vanhoenshoven, Gonzalo Nápoles, Mathijs Creemers, Maikel León Espinosa, Koen Vanhoof:
Analyzing the impact of the adaptive clearing mechanism on algorithm accuracy in Variable Mesh Optimization. SSCI 2016: 1-8 - [c49]Frank Vanhoenshoven, Gonzalo Nápoles, Rafael Falcon, Koen Vanhoof, Mario Köppen:
Detecting malicious URLs using machine learning techniques. SSCI 2016: 1-8 - [p5]Gonzalo Nápoles, Isel Grau, Rafael Falcon, Rafael Bello, Koen Vanhoof:
A Granular Intrusion Detection System Using Rough Cognitive Networks. Recent Advances in Computational Intelligence in Defense and Security 2016: 169-191 - 2015
- [c48]Gonzalo Nápoles, Isel Grau, Rafael Bello, Maikel León, Koen Vanhoof, Elpiniki Papageorgiou:
A computational tool for simulation and learning of Fuzzy Cognitive Maps. FUZZ-IEEE 2015: 1-8 - [c47]Gonzalo Nápoles, Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Aggregation of Partial Rankings - An Approach Based on the Kemeny Ranking Problem. IWANN (2) 2015: 343-355 - [c46]Niels Martin, Marijke Swennen, Benoît Depaire, Mieke Jans, An Caris, Koen Vanhoof:
Batch Processing: Definition and Event Log Identification. SIMPDA 2015: 137-140 - [c45]Marijke Swennen, Gert Janssenswillen, Mieke Jans, Benoît Depaire, Koen Vanhoof:
Capturing Process Behavior with Log-Based Process Metrics. SIMPDA 2015: 141-144 - 2014
- [j27]Gonzalo Nápoles, Rafael Bello, Koen Vanhoof:
How to improve the convergence on sigmoid Fuzzy Cognitive Maps? Intell. Data Anal. 18(Supplement): S77-S88 (2014) - [j26]Maikel León, Lusine Mkrtchyan, Benoît Depaire, Da Ruan, Koen Vanhoof:
Learning and clustering of fuzzy cognitive maps for travel behaviour analysis. Knowl. Inf. Syst. 39(2): 435-462 (2014) - [c44]Marijke Swennen, Benoît Depaire, Koen Vanhoof, Mieke Jans:
Towards a General Framework for Business Tests. ICEIS (3) 2014: 478-483 - [c43]Gonzalo Nápoles, Isel Grau, Koen Vanhoof, Rafael Bello:
Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making. RSEISP 2014: 169-178 - 2013
- [j25]Maikel León, Gonzalo Nápoles, Rafael Bello, Lusine Mkrtchyan, Benoît Depaire, Koen Vanhoof:
Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps. Int. J. Comput. Intell. Syst. 6(6): 1012-1039 (2013) - [c42]Geert Wets, Elke Hermans, Davy Janssens, Koen Vanhoof, Edith Donders, Qiong Bao, Yongjun Shen, Banghua Yang:
An Excellent Guest Professor in Hasselt University. A Tribute to Prof. Dr. Da Ruan 2013: 115-120 - [c41]Gonzalo Nápoles, Rafael Bello, Koen Vanhoof:
Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach. CIARP (1) 2013: 270-277 - [c40]Maikel León, Benoît Depaire, Koen Vanhoof:
Fuzzy Cognitive Maps with Rough Concepts. AIAI 2013: 527-536 - 2012
- [j24]Benoît Depaire, Koen Vanhoof, Geert Wets:
A decision support tool for evaluating customer intentions. Expert Syst. Appl. 39(8): 6903-6910 (2012) - [j23]Els Hannes, Diana Kusumastuti, Maikel León Espinosa, Davy Janssens, Koen Vanhoof, Geert Wets:
Mental maps and travel behaviour: meanings and models. J. Geogr. Syst. 14(2): 143-165 (2012) - [c39]Benoît Depaire, Jo Swinnen, Mieke Jans, Koen Vanhoof:
A Process Deviation Analysis Framework. Business Process Management Workshops 2012: 701-706 - [c38]Maikel León, Lusine Mkrtchyan, Benoît Depaire, Da Ruan, Rafael Bello, Koen Vanhoof:
Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling. ICANN (1) 2012: 718-725 - [c37]Lusine Mkrtchyan, Maikel León, Benoît Depaire, Da Ruan, Koen Vanhoof:
Clustering of Fuzzy Cognitive Maps for Travel Behavior Analysis. IS-MiS 2012: 57-66 - 2011
- [j22]Diana Kusumastuti, Els Hannes, Benoît Depaire, Koen Vanhoof, Davy Janssens, Geert Wets, Benedict G. C. Dellaert:
An interactive computer-based interface to support the discovery of individuals' mental representations and preferences in decisions problems: An application to travel behavior. Comput. Hum. Behav. 27(2): 997-1011 (2011) - [j21]Mieke Jans, Jan Martijn E. M. van der Werf, Nadine Lybaert, Koen Vanhoof:
A business process mining application for internal transaction fraud mitigation. Expert Syst. Appl. 38(10): 13351-13359 (2011) - [j20]Yongjun Shen, Elke Hermans, Da Ruan, Geert Wets, Tom Brijs, Koen Vanhoof:
A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation. Expert Syst. Appl. 38(12): 15262-15272 (2011) - [j19]Benoît Depaire, Rafael Falcón, Koen Vanhoof, Geert Wets:
PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments. Intell. Data Anal. 15(1): 49-68 (2011) - [j18]Yongjun Shen, Da Ruan, Elke Hermans, Tom Brijs, Geert Wets, Koen Vanhoof:
Modeling qualitative data in data envelopment analysis for composite indicators. Int. J. Syst. Assur. Eng. Manag. 2(1): 21-30 (2011) - [c36]Jo Swinnen, Benoît Depaire, Mieke J. Jans, Koen Vanhoof:
A Process Deviation Analysis - A Case Study. Business Process Management Workshops (1) 2011: 87-98 - [c35]Nour Damer, Mieke J. Jans, Benoît Depaire, Koen Vanhoof:
Making Compliance Measures Actionable: A New Compliance Analysis Approach. Business Process Management Workshops (1) 2011: 159-164 - [c34]Mieke Jans, Benoît Depaire, Koen Vanhoof:
Does Process Mining Add to Internal Auditing? An Experience Report. BMMDS/EMMSAD 2011: 31-45 - [c33]Maikel León, Gonzalo Nápoles, Ciro Rodriguez, María M. García, Rafael Bello, Koen Vanhoof:
A Fuzzy Cognitive Maps Modeling, Learning and Simulation Framework for Studying Complex System. IWINAC (2) 2011: 243-256 - [c32]Maikel León, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof:
Two Steps Individuals Travel Behavior Modeling through Fuzzy Cognitive Maps Pre-definition and Learning. MICAI (2) 2011: 82-94 - 2010
- [j17]Mieke Jans, Nadine Lybaert, Koen Vanhoof:
Internal fraud risk reduction: Results of a data mining case study. Int. J. Account. Inf. Syst. 11(1): 17-41 (2010) - [j16]Elke Hermans, Da Ruan, Tom Brijs, Geert Wets, Koen Vanhoof:
Road safety risk evaluation by means of ordered weighted averaging operators and expert knowledge. Knowl. Based Syst. 23(1): 48-52 (2010) - [j15]Maikel León, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof:
A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior Sciences. Polibits 42: 43-49 (2010) - [j14]Yongjun Shen, Tianrui Li, Elke Hermans, Da Ruan, Geert Wets, Koen Vanhoof, Tom Brijs:
A hybrid system of neural networks and rough sets for road safety performance indicators. Soft Comput. 14(12): 1255-1263 (2010) - [c31]Krassimira Ivanova, Peter Stanchev, Evgeniya Velikova, Koen Vanhoof, Benoît Depaire, Rajkumar Kannan, Iliya Mitov, Krassimir Markov:
Features for Art Painting Classification Based on Vector Quantization of MPEG-7 Descriptors. ICDEM 2010: 146-153 - [c30]Benoît Depaire, Koen Vanhoof, Geert Wets:
A Decision Support Tool for Evaluating Loyalty and Word-of-Mouth Using Model-Based Knowledge Discovery. IEA/AIE (1) 2010: 691-700 - [c29]Koen Vanhoof, Benoît Depaire:
Structure of association rule classifiers: a review. ISKE 2010: 9-12 - [c28]Jo Swinnen, Koen Vanhoof, Els Hannes:
Querying event logs: Discovering non-events in event logs. ISKE 2010: 349-354 - [c27]Fatma Aksu, Koen Vanhoof, Liesbet De Munck:
Evaluation and comparison of business process modeling methodologies for small and midsized enterprises. ISKE 2010: 664-667 - [c26]Krassimira Ivanova, Peter Stanchev, Koen Vanhoof, Phillip Ein-Dor:
Semantic and Abstraction Content of Art Images. MCIS 2010: 42 - [c25]Maikel León, Ciro Rodriguez, María M. García, Rafael Bello, Koen Vanhoof:
Fuzzy Cognitive Maps for Modeling Complex Systems. MICAI (1) 2010: 166-174 - [p4]Koen Vanhoof, Ina Lauth:
Application Challenges for Ubiquitous Knowledge Discovery. Ubiquitous Knowledge Discovery 2010: 108-125
2000 – 2009
- 2009
- [j13]Marlies Vanhulsel, Davy Janssens, Geert Wets, Koen Vanhoof:
Simulation of sequential data: An enhanced reinforcement learning approach. Expert Syst. Appl. 36(4): 8032-8039 (2009) - [c24]George Nicola Sammour, Benoît Depaire, Koen Vanhoof, Geert Wets:
Identiying Homogenous Customer Segments for Low Risk Email Marketing Experiments. ICEIS (4) 2009: 89-94 - [c23]Marko Robnik-Sikonja, Kris Brijs, Koen Vanhoof:
Ordinal Evaluation: A New Perspective on Country Images. ICDM 2009: 261-275 - 2008
- [j12]George Nicola Sammour, Jeanne Schreurs, Abdullah Y. Al-Zoubi, Koen Vanhoof:
The role of knowledge management and e-learning in professional development. Int. J. Knowl. Learn. 4(5): 465-477 (2008) - [c22]Benoît Depaire, Koen Vanhoof, Geert Wets:
ARUBAS: An Association Rule Based Similarity Framework for Associative Classifiers. ICDM Workshops 2008: 692-699 - [c21]Mieke Jans, Nadine Lybaert, Koen Vanhoof:
Internal Fraud Risk Reduction - Results of a Data Mining Case Study. ICEIS (2) 2008: 161-166 - [c20]Rafael Falcón, Benoît Depaire, Koen Vanhoof, Ajith Abraham:
Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering. ISDA (3) 2008: 652-657 - [c19]Yongjun Shen, Elke Hermans, Da Ruan, Geert Wets, Koen Vanhoof, Tom Brijs:
Development of a composite road safety performance indicator based on neural networks. ISKE 2008: 901-906 - [c18]George Nicola Sammour, Jeanne Schreurs, Abdullah Y. Al-Zoubi, Koen Vanhoof:
Knowledge Management and eLearning in Professional Development. WSKS (2) 2008: 178-183 - [p3]Michael May, Bettina Berendt, Antoine Cornuéjols, João Gama, Fosca Giannotti, Andreas Hotho, Donato Malerba, Ernestina Menasalvas, Katharina Morik, Rasmus Ulslev Pedersen, Lorenza Saitta, Yücel Saygin, Assaf Schuster, Koen Vanhoof:
Research Challenges in Ubiquitous Knowledge Discovery. Next Generation of Data Mining 2008 - 2007
- [j11]Marko Robnik-Sikonja, Koen Vanhoof:
Evaluation of ordinal attributes at value level. Data Min. Knowl. Discov. 14(2): 225-243 (2007) - [c17]Kris Brijs, Benoît Depaire, Koen Vanhoof, Tom Brijs, Geert Wets:
The Importance of Aggregation Operator Characteristics in Marketing Research. ICEIS (2) 2007: 237-246 - 2006
- [j10]Davy Janssens, Tom Brijs, Koen Vanhoof, Geert Wets:
Evaluating the performance of cost-based discretization versus entropy- and error-based discretization. Comput. Oper. Res. 33(11): 3107-3123 (2006) - [j9]Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof, Theo A. Arentze, Harry J. P. Timmermans:
Integrating Bayesian networks and decision trees in a sequential rule-based transportation model. Eur. J. Oper. Res. 175(1): 16-34 (2006) - [c16]Kris Brijs, Koen Vanhoof, Tom Brijs, Dimitris Karlis:
Using Fuzzy Set Theory to Assess Country-of-Origin Effects on the Formation of Product Attitude. MDAI 2006: 138-149 - 2005
- [j8]Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof:
The development of an adapted Markov chain modelling heuristic and simulation framework in the context of transportation research. Expert Syst. Appl. 28(1): 105-117 (2005) - [j7]Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof:
Adapting the CBA algorithm by means of intensity of implication. Inf. Sci. 173(4): 305-318 (2005) - [c15]Waldemar Jaronski, Koen Vanhoof, Josée Bloemer:
Inductive Development of Customer e-Loyalty Theory with Bayesian Networks. CORES 2005: 187-194 - [c14]Gerrit K. Janssens, Kenneth Sörensen, Arthur Limère, Koen Vanhoof:
Analysis of Company Growth Data Using Genetic Algorithms on Binary Trees. PAKDD 2005: 234-239 - [p2]Koen Vanhoof, Pieter Pauwels, József Dombi, Tom Brijs, Geert Wets:
Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction. Intelligent Data Mining 2005: 237-252 - [p1]Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof:
Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportation System. Intelligent Data Mining 2005: 253-265 - 2004
- [j6]Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
Building an Association Rules Framework to Improve Product Assortment Decisions. Data Min. Knowl. Discov. 8(1): 7-23 (2004) - [j5]Anja Cielen, Ludo Peeters, Koen Vanhoof:
Bankruptcy prediction using a data envelopment analysis. Eur. J. Oper. Res. 154(2): 526-532 (2004) - [j4]Birgit Hay, Geert Wets, Koen Vanhoof:
Mining Navigation Patterns Using a Sequence Alignment Method. Knowl. Inf. Syst. 6(2): 150-163 (2004) - [c13]Waldemar Jaronski, Josée Bloemer, Koen Vanhoof, Geert Wets:
Exploiting sensitivity analysis in Bayesian networks for customer satisfaction study. Intelligent Information Systems 2004: 39-48 - 2003
- [c12]Birgit Hay, Geert Wets, Koen Vanhoof:
Discovering Interesting Navigations on a Web Site Using SAMI. ITWP 2003: 187-200 - 2002
- [c11]Birgit Hay, Geert Wets, Koen Vanhoof:
Multidimensional Sequence Alignment Methods: Discovering Navigation Patterns on Web Sites Presenting Page- and Time Information. ICMLA 2002: 57-63 - [c10]Birgit Hay, Geert Wets, Koen Vanhoof:
Web Usage Mining by Means of Multidimensional Sequence Alignment Methods. WEBKDD 2002: 50-65 - [c9]Waldemar Jaronski, Josée Bloemer, Koen Vanhoof, Geert Wets:
Applying Bayesian Networks in Practical Customer Satisfaction studies. SEAL 2002: 486-505 - 2001
- [i1]Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
A Data Mining Framework for Optimal Product Selection in Retail Supermarket Data: The Generalized PROFSET Model. CoRR cs.DB/0112013 (2001) - 2000
- [j3]Tom Brijs, Koen Vanhoof, Geert Wets:
Reducing redundancy in characteristic rule discovery by using integer programming techniques. Intell. Data Anal. 4(3-4): 229-240 (2000) - [c8]Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
A Data Mining Framework for Optimal Product Selection in Convenience Stores. ECIS 2000: 1001-1008 - [c7]Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
Comparing Complete and Partial Classification for Identifying Latently Dissatisfied Customers. ECML 2000: 88-95 - [c6]Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model. KDD 2000: 300-304
1990 – 1999
- 1999
- [j2]Geert-Jan Houben, K. Lenie, Koen Vanhoof:
A knowledge-based SWOT-analysis system as an instrument for strategic planning in small and medium sized enterprises. Decis. Support Syst. 26(2): 125-135 (1999) - [c5]Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
Using Association Rules for Product Assortment Decisions: A Case Study. KDD 1999: 254-260 - [c4]Filip Coenen, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning. PKDD 1999: 301-308 - 1998
- [c3]Tom Brijs, Koen Vanhoof:
Cost Sensitive Discretization of Numeric Attributes. PKDD 1998: 102-110 - 1997
- [c2]Koen Vanhoof, Josée Bloemer, K. Pauwels:
A Case Study in Loyality and Satisfaction Research. ECML 1997: 290-297 - 1995
- [c1]Jerzy Surma, Koen Vanhoof:
Integration Rules and Cases for the Classification Task. ICCBR 1995: 325-334 - 1994
- [j1]Koen Vanhoof, Jerzy Surma:
Comparing Two Hybrid Expert System Shells. Int. J. Softw. Eng. Knowl. Eng. 4(1): 159-164 (1994)
Coauthor Index
Rafael Falcon
aka: Rafael Falcón
aka: Rafael Falcón
Mieke Jans
aka: Mieke J. Jans
aka: Mieke J. Jans
Maikel León
aka: Maikel León Espinosa
aka: Maikel León Espinosa
[j52] [c83] [c82] [i6] [j51] [j50] [c81] [c80] [j49] [j48] [j47] [j46] [c79] [c78] [c77] [i4] [i3] [j45] [j44] [j43] [j42] [c76] [c72] [c71] [c70] [c69] [j41] [j39] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [j38] [j37] [j36] [c61] [c60] [c59] [i2] [j34] [j33] [j31] [c58] [c56] [c55] [c54] [c53] [j30] [j29] [j28] [c52] [c50] [c49] [p5] [c48] [c47] [j27] [c43] [j25] [c41] [c33] [c32] [j15]
Elpiniki I. Papageorgiou
aka: Elpiniki Papageorgiou
aka: Elpiniki Papageorgiou
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