Lukasz Romaszko

According to our database, Lukasz Romaszko authored at least 13 papers between 2010 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

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

Artif. Intell. Medicine, 2021

2020

3D scene graph inference and refinement for vision-as-inverse-graphics.

Lukasz Romaszko

PhD thesis, 2020

Learning Direct Optimization for scene understanding.

Lukasz Romaszko, Christopher K. I. Williams, John M. Winn

Pattern Recognit., 2020

2017

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

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

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, Evelyne Viegas

Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016

2015

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, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio

Neural Networks, 2015

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

Proceedings of the Semantic Web - ISWC 2014, 2014

Signal Correlation Prediction Using Convolutional Neural Networks.

Lukasz Romaszko

Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014

2013

Multi-label Classification of Biomedical Articles.

Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen

Proceedings of the Intelligent Tools for Building a Scientific Information Platform, 2013

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, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

An Ensemble-Based Named Entity Recognition Solution for Detecting Consumer Products.

Lukasz Romaszko

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

An Ensemble Approach to Multi-label Classification of Textual Data.

Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2010

IEEE ICDM 2010 Contest: Traffic Prediction -- Jams.

Lukasz Romaszko

Proceedings of the ICDMW 2010, 2010