Appriximate Algorithms for Maximum Utility Problems. - Frederik Jan Jüngen; Wojtek Kowalczyk (CP, 1996)

An algorithm for training multilayer networks on non-numerical data. - Wojtek Kowalczyk (ESANN, 1996)

Rough-Set Inspired Approach to Knowledge Discovery in Business Databases. - Wojtek Kowalczyk; Zdzislaw Piasta (PAKDD, 1998)

Approximate algorithms for generalized maximum utility problems. - Frederik Jan Jüngen; Wojtek Kowalczyk (J. Exp. Theor. Artif. Intell., 1998)

An Approximate Algorithm for Reverse Engineering of Multi-layer Perceptrons. - Wojtek Kowalczyk (SGAI Conf., 2003)

Newscast EM. - Wojtek Kowalczyk; Nikos Vlassis (NIPS, 2004)

An Approach to Massively Distributed Aggregate Computing on Peer-to-Peer Networks. - Márk Jelasity; Wojtek Kowalczyk; Maarten van Steen (PDP, 2004)

Gossip-Based Greedy Gaussian Mixture Learning. - Nikos Vlassis; Yiannis Sfakianakis; Wojtek Kowalczyk (Panhellenic Conference on Informatics, 2005)

Modeling Navigation Patterns of Visitors of Unstructured Websites. - Krisztian Balog; Peter Hofgesang; Wojtek Kowalczyk (SGAI Conf., 2005)

Reinforcement Learning for Online Control of Evolutionary Algorithms. - A. E. Eiben; Mark Horvath; Wojtek Kowalczyk; Martijn C. Schut (ESOA, 2006)

Maintaining Gaussian Mixture Models of Data Streams Under Block Evolution. - Jan Peter Patist; Wojtek Kowalczyk; Elena Marchiori (International Conference on Computational Science (1), 2006)

An Interactive Approach to Outlier Detection. - Rob M. Konijn; Wojtek Kowalczyk (RSKT, 2010)

The Impact of Recommender Systems on Item-, User-, and Rating-Diversity. - Wojtek Kowalczyk; Zoltán Szlávik; Martijn C. Schut (ADMI, 2011)

Finding Fraud in Health Insurance Data with Two-Layer Outlier Detection Approach. - Rob M. Konijn; Wojtek Kowalczyk (DaWaK, 2011)

Diversity Measurement of Recommender Systems under Different User Choice Models. - Zoltán Szlávik; Wojtek Kowalczyk; Martijn C. Schut (ICWSM, 2011)

Process evaluation of a web-based intervention aimed at empowerment of disability benefit claimants. - David Samoocha; Ingrid A. K. Snels; David J. Bruinvels; Johannes R. Anema; Wojtek Kowalczyk; Allard J. van der Beek (BMC Medical Informatics Decis. Mak., 2011)

Hunting for Fraudsters in Random Forests. - Rob M. Konijn; Wojtek Kowalczyk (HAIS (1), 2012)

Detecting Changing Emotions in Natural Speech. - Wojtek Kowalczyk; C. Natalie van der Wal (IEA/AIE, 2012)

Quantifying cross-linguistic variation in grapheme-to-phoneme mapping. - Martine Coene; Annemiek Hammer; Wojtek Kowalczyk; Louis ten Bosch; Bart Vaerenberg; Paul Govaerts (INTERSPEECH, 2013)

Balancing word lists in speech audiometry through large spoken language corpora. - Annemiek Hammer; Bart Vaerenberg; Wojtek Kowalczyk; Louis ten Bosch; Martine Coene; Paul J. Govaerts (INTERSPEECH, 2013)

Language-universal speech audiometry with automated scoring. - Bart Vaerenberg; Louis ten Bosch; Wojtek Kowalczyk; Martine Coene; Herwig De Smet; Paul J. Govaerts (INTERSPEECH, 2013)

Discovering Local Subgroups, with an Application to Fraud Detection. - Rob M. Konijn; Wouter Duivesteijn; Wojtek Kowalczyk; Arno J. Knobbe (PAKDD (1), 2013)

Detecting changing emotions in human speech by machine and humans. - C. Natalie van der Wal; Wojtek Kowalczyk (Appl. Intell., 2013)

Optimally Weighted Cluster Kriging for Big Data Regression. - Bas van Stein; Hao Wang 025; Wojtek Kowalczyk; Thomas Bäck; Michael Emmerich 001 (IDA, 2015)

Fuzzy clustering for Optimally Weighted Cluster Kriging. - Bas van Stein; Hao Wang 025; Wojtek Kowalczyk; Michael T. M. Emmerich; Thomas Bäck (FUZZ-IEEE, 2016)

An Incremental Algorithm for Repairing Training Sets with Missing Values. - Bas van Stein; Wojtek Kowalczyk (IPMU (2), 2016)

Analysis and Visualization of Missing Value Patterns. - Bas van Stein; Wojtek Kowalczyk; Thomas Bäck (IPMU (2), 2016)

Extending Logistic Regression Models with Factorization Machines. - Mark Pijnenburg; Wojtek Kowalczyk (ISMIS, 2017)

Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set. - Eelke B. Lenselink; Niels ten Dijke; Brandon J. Bongers; George Papadatos; Herman W. T. van Vlijmen; Wojtek Kowalczyk; Adriaan P. IJzerman; Gerard J. P. van Westen (J. Cheminformatics, 2017)

Singular Outliers: Finding Common Observations with an Uncommon Feature. - Mark Pijnenburg; Wojtek Kowalczyk (IPMU (3), 2018)

A Novel Uncertainty Quantification Method for Efficient Global Optimization. - Bas van Stein; Hao Wang 025; Wojtek Kowalczyk; Thomas Bäck (IPMU (3), 2018)

Are Similar Cases Treated Similarly? A Comparison Between Process Workers. - Mark Pijnenburg; Wojtek Kowalczyk (BIS (2), 2019)

Extending an Anomaly Detection Benchmark with Auto-encoders, Isolation Forests, and RBMs. - Mark Pijnenburg; Wojtek Kowalczyk (ICIST, 2019)

Hyperparameter Optimisation for Improving Classification under Class Imbalance. - Jiawen Kong; Wojtek Kowalczyk; Duc Anh Nguyen; Thomas Bäck; Stefan Menzel (SSCI, 2019)

Being Creative: A Cross-Domain Mapping Network. - Jichen Wu; Maarten H. Lamers; Wojtek Kowalczyk (ICCC, 2020)

On the Performance of Oversampling Techniques for Class Imbalance Problems. - Jiawen Kong; Thiago Rios; Wojtek Kowalczyk; Stefan Menzel; Thomas Bäck (PAKDD (2), 2020)

Improving Imbalanced Classification by Anomaly Detection. - Jiawen Kong; Wojtek Kowalczyk; Stefan Menzel; Thomas Bäck (PPSN (1), 2020)

Cluster-based Kriging approximation algorithms for complexity reduction. - Bas van Stein; Hao Wang 025; Wojtek Kowalczyk; Michael Emmerich 001; Thomas Bäck (Appl. Intell., 2020)

Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands. - Wouter B. Verschoof-van der Vaart; Karsten Lambers; Wojtek Kowalczyk; Quentin P. J. Bourgeois (ISPRS Int. J. Geo Inf., 2020)

Hyperparameter Optimisation for Improving Classification under Class Imbalance. - Jiawen Kong; Wojtek Kowalczyk; Duc Anh Nguyen; Stefan Menzel; Thomas Bäck (Zenodo, 2020)

On the Performance of Oversampling Techniques for Class Imbalance Problems. - Jiawen Kong; Thiago Rios; Wojtek Kowalczyk; Stefan Menzel; Thomas Bäck (Zenodo, 2020)

From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search. - Hadar Shavit; Filip Jatelnicki; Pol Mor-Puigventós; Wojtek Kowalczyk (ICPRAM, 2023)

A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going. - Di Wu 053; Renchi Zhang; Ameya Pore; Diego Dall'Alba; Xuan Thao Ha; Zhen Li 035; Yao Zhang; Fernando Herrera; Mouloud Ourak; Wojtek Kowalczyk; Elena De Momi; Alícia Casals; et al. (Biomed. Signal Process. Control., 2024)