| 2023‑2024 | Groot, J. de (Jurren) | RNADock: A Geometric Deep Learning System for RNA-Ligand Docking - CON... | Andrius Bernatavicius, Kowalczyk, dr. W.J. | CS |
| 2023 | Kong, J. (Jiawen) | Learning Class-Imbalanced Problems from the Perspective of Data Intrin... | Bäck, prof.dr. T.H.W., Prof. Dr. B. Sendhoff, Kowalczyk, dr. W.J. | PhD |
| 2021‑2022 | Liu, C. | Pattern Mining Enabled Scanner Event-based Quantitative Analysis of Li... | Leeuwen, prof.dr. M. van, Kowalczyk, dr. W.J. | CS |
| 2020‑2021 | Chen, Jingsen | Modern Machine Learning for Anti-Money Laundering | Kowalczyk, dr. W.J., Takes, prof.dr. F.W. | CS |
| 2020‑2021 | Helmonds, Joep | Detecting energy grid anomalies using convolutional neural networks | Kowalczyk, dr. W.J. | CS |
| 2020‑2021 | Liang, Yan | Automated Machine Learning of Customer-Specific Gaussian Mixture Model... | Visser, prof.dr.ir. J.M.W., Kowalczyk, dr. W.J. | CS |
| 2020‑2021 | Liang, Yan | Automated Machine Learning of Customer-Specific Gaussian Mixture Model... | Visser, prof.dr.ir. J.M.W., Kowalczyk, dr. W.J. | CS |
| 2020‑2021 | Lin, Mei-Chen | Deep Reinforcement Learning for Adaptive Traffic Light Control | Kowalczyk, dr. W.J. | CS |
| 2020 | Pijnenburg, M.G.F. (Mark) | Data Science for Tax Administration | Kok, prof.dr. J.N., Kraaij, prof.dr.ir. W., Kowalczyk, dr. W.J. | PhD |
| 2019‑2020 | Wu, J. | Being Creative: a Cross-Domain Mapping Network | Lamers, dr. M.H., Kowalczyk, dr. W.J. | CrIT |
| 2019‑2020 | Bastiaan, Alban | An Exploration of Multiple Unsupervised Algorithms in a Financial Audi... | Kowalczyk, dr. W.J., Stein, dr. N. van | CS |
| 2019‑2020 | Papathanasiou, Nik | Sequence Prediction Under Multiple Constraints | Kowalczyk, dr. W.J., Bäck, prof.dr. T.H.W. | CS |
| 2019‑2020 | Wu, Jichen | Evolutionary Isolation Forest for Interactive Anomaly Detection | Kowalczyk, dr. W.J., Stein, dr. N. van | CS |
| 2018‑2019 | Wortelboer, Martin | A framework for the deployment of Analytical Models for organizations ... | Jong Kon Chin, prof.dr. S., Kowalczyk, dr. W.J. | IiB&PS |
| 2018‑2019 | Berg, Jelle van den | Using Al to predict ICU patient mortality | Dr. K. Yang, Kowalczyk, dr. W.J. | CS |
| 2018‑2019 | Hal, Roy van | Embedding geographical locations using triplet loss networks | Kowalczyk, dr. W.J., Verbeek, prof.dr.ir. F.J. | CS |
| 2018‑2019 | Özer, Muhammet | Prediction of overtopping volume of waves approaching a crest using a ... | Kowalczyk, dr. W.J., Stein, dr. N. van | CS |
| 2018‑2019 | Peters, L.J. (Bert) | Deep Mammography: Applying Deep Learning to Whole Mammogram Classifica... | Kowalczyk, dr. W.J., drs. P. ten Have, Kosters, dr. W.A. | CS |
| 2018‑2019 | Spek, Thierry van der | Pavement Distress Classification in 3D Pavement Measurements using Con... | Kowalczyk, dr. W.J., Bäck, prof.dr. T.H.W. | CS |
| 2018‑2019 | Zhang, Rui | Modelling Fish Occurrence in the Dutch Wadden Sea by using Bayesian Ne... | dr. G.Y.H. El Serafy, Kowalczyk, dr. W.J., Wang, dr. H. | CS |
| 2018‑2019 | Zhang, Yuqi | Combining spectral and texture features for aquatic plant species clas... | Kowalczyk, dr. W.J., Wang, dr. H., dr. E. Penning | CS |
| 2018‑2019 | Peters, O.R.L. (Orson) | Image Compression with Neural Networks | Kowalczyk, dr. W.J., Cao, dr. L. | Inf |
| 2018‑2019 | Plug R.B.F. (Ruud) | ECG Anomaly Detection Using Long Short-Term Memory based Recurrent Neu... | Kosters, dr. W.A., Kowalczyk, dr. W.J. | Inf |
| 2018 | Stein, B. (Bas) van | Data Driven Modeling & Optimization of Industrial Processes | Bäck, prof.dr. T.H.W., Kowalczyk, dr. W.J. | PhD |
| 2017‑2018 | Ruijter, Sander | Data Mining in Business, a Case Study at Squeezely | Baratchi, dr. M., Kowalczyk, dr. W.J. | IiB&PS |
| 2017‑2018 | Ronde, S.J.P.M. (Sander) | Detecting Anomalies with Recurrent Neural Networks | Kowalczyk, dr. W.J., Stein, dr. N. van | Inf |
| 2016‑2017 | Dijke, N.T. (Niels) ten | Convolutional Neural Networks for Regulatory Genomics | Kowalczyk, dr. W.J., prof.dr. G. van Westen, dr. D. Zerbino | CS |
| 2016‑2017 | Heuvel, J. (Jeroen) van den | Finding Business Processes in Computer Usage Data using Frequent Seque... | Kosters, dr. W.A., Kowalczyk, dr. W.J., S. Hall | CS |
| 2016‑2017 | Buwalda, N. (Niek) | Open Source Systems for Dialogue Systems | Kowalczyk, dr. W.J., dr. K. van der Blom | Inf |
| 2016‑2017 | Martens, J.R.M. (Joost) | ETA: A Modular Approach to Analyzing Time Series Data | Stein, dr. N. van, Kowalczyk, dr. W.J. | Inf |
| 2016‑2017 | Riet, J.C.A. (Jasper) van | Anomaly Detection with Deep Belief Networks | Kowalczyk, dr. W.J., Stein, dr. N. van | Inf |
| 2016‑2017 | Suanet, L. (Lars) | Finding Anomalies in Sequential Data using Local Outlier Factor | Kowalczyk, dr. W.J., Rietveld, dr. K.F.D. | Inf |
| 2015‑2016 | Kalmeijer, J.G. (Jan) | Visualizing Features Learned by Convolutional Neural Networks | Kosters, dr. W.A., Kowalczyk, dr. W.J. | CS |
| 2015‑2016 | Kleyn, F. (Floris) | Mining and Visualizing Sequential Healthcare Data | Kowalczyk, dr. W.J., Bäck, prof.dr. T.H.W. | CS |
| 2015‑2016 | Platanias, P. (Pavlos) | DDoS Detection using Time-series Analysis | Kowalczyk, dr. W.J., Deutz, dr. A.H. | CS |
| 2015‑2016 | Bavdaz, A. (Alenka) | Comparing Markov Chain and Recurrent Neural Network Algorithms for Tex... | Kowalczyk, dr. W.J., Kosters, dr. W.A. | Inf |
| 2015‑2016 | Veen, S. (Simone) van | Anomaly Detection in Cybersecurity | Kowalczyk, dr. W.J., dr. A. Ali-Eldin | Inf |
| 2014‑2015 | Post, M. (Mark) | Analysis and Visualisation of Data of an Outdoor Sports Mobile Applica... | Emmerich, dr. M.T.M., Kowalczyk, dr. W.J. | Inf |
