IEEE ICDM 2010 Contest: Traffic Prediction – Jams. - Lukasz Romaszko (ICDM Workshops, 2010)

An Ensemble Approach to Multi-label Classification of Textual Data. - Karol Kurach; Krzysztof Pawlowski; Lukasz Romaszko; Marcin Tatjewski; Andrzej Janusz; Hung Son Nguyen (ADMA, 2012)

An Ensemble-Based Named Entity Recognition Solution for Detecting Consumer Products. - Lukasz Romaszko (ICDM Workshops, 2012)

Challenges in Representation Learning: A Report on Three Machine Learning Contests. - Ian J. Goodfellow; Dumitru Erhan; Pierre Luc Carrier; Aaron C. Courville; Mehdi Mirza; Benjamin Hamner; William Cukierski; Yichuan Tang; David Thaler; Dong-Hyun Lee; Yingbo Zhou; Chetan Ramaiah; et al. (ICONIP (3), 2013)

Multi-label Classification of Biomedical Articles. - Karol Kurach; Krzysztof Pawlowski; Lukasz Romaszko; Marcin Tatjewski; Andrzej Janusz; Hung Son Nguyen (Intelligent Tools for Building a Scientific Information Platform, 2013)

Signal Correlation Prediction Using Convolutional Neural Networks. - Lukasz Romaszko (Neural Connectomics, 2014)

CrowdTruth: Machine-Human Computation Framework for Harnessing Disagreement in Gathering Annotated Data. - Oana Inel; Khalid Khamkham; Tatiana Cristea; Anca Dumitrache; Arne Rutjes; Jelle van der Ploeg; Lukasz Romaszko; Lora Aroyo; Robert-Jan Sips (ISWC (2), 2014)

Challenges in representation learning: A report on three machine learning contests. - Ian J. Goodfellow; Dumitru Erhan; Pierre Luc Carrier; Aaron C. Courville; Mehdi Mirza; Benjamin Hamner; William Cukierski; Yichuan Tang; David Thaler; Dong-Hyun Lee; Yingbo Zhou; Chetan Ramaiah; et al. (Neural Networks, 2015)

A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention. - Isabelle Guyon; Imad Chaabane; Hugo Jair Escalante; Sergio Escalera; Damir Jajetic; James Robert Lloyd; Núria Macià; Bisakha Ray; Lukasz Romaszko; Michèle Sebag; Alexander R. Statnikov; Sébastien Treguer; et al. (AutoML@ICML, 2016)

Vision-as-Inverse-Graphics: Obtaining a Rich 3D Explanation of a Scene from a Single Image. - Lukasz Romaszko; Christopher K. I. Williams; Pol Moreno; Pushmeet Kohli (ICCV Workshops, 2017)

Learning Direct Optimization for scene understanding. - Lukasz Romaszko; Christopher K. I. Williams; John M. Winn (Pattern Recognit., 2020)

3D scene graph inference and refinement for vision-as-inverse-graphics. - Lukasz Romaszko (2020)

Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics. - Lukasz Romaszko; Agnieszka Borowska; Alan Lazarus; David Dalton; Colin Berry; Xiaoyu Luo; Dirk Husmeier; Hao Gao 002 (Artif. Intell. Medicine, 2021)