Lukasz Romaszko

15 papers C 1Journal 5Unranked 7
YearRankTypeTitle / Venue / Authors
2021 J jnl
Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics.
Artif. Intell. Medicine
Lukasz Romaszko, Agnieszka Borowska, Alan Lazarus, David Dalton, Colin Berry, Xiaoyu Luo, Dirk Husmeier, Hao Gao
2020 — —
3D scene graph inference and refinement for vision-as-inverse-graphics.
Lukasz Romaszko
2020 J jnl
Learning Direct Optimization for scene understanding.
Pattern Recognit.
Lukasz Romaszko, Christopher K. I. Williams, John M. Winn
2018 J jnl
Learning Direct Optimization for Scene Understanding.
CoRR
Lukasz Romaszko, Christopher K. I. Williams, John M. Winn
2017 — conf
Vision-as-Inverse-Graphics: Obtaining a Rich 3D Explanation of a Scene from a Single Image.
ICCV Workshops
Lukasz Romaszko, Christopher K. I. Williams, Pol Moreno, Pushmeet Kohli
2016 — conf
A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention.
AutoML@ICML
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
2015 J jnl
Challenges in representation learning: A report on three machine learning contests.
Neural Networks
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
2014 — conf
CrowdTruth: Machine-Human Computation Framework for Harnessing Disagreement in Gathering Annotated Data.
ISWC (2)
Oana Inel, Khalid Khamkham, Tatiana Cristea, Anca Dumitrache, Arne Rutjes, Jelle van der Ploeg, Lukasz Romaszko, Lora Aroyo, Robert-Jan Sips
2014 — conf
Signal Correlation Prediction Using Convolutional Neural Networks.
Neural Connectomics
Lukasz Romaszko
2013 — conf
Challenges in Representation Learning: A Report on Three Machine Learning Contests.
ICONIP (3)
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
2013 J jnl
Challenges in Representation Learning: A report on three machine learning contests.
CoRR
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
2013 — ch.
Multi-label Classification of Biomedical Articles.
Intelligent Tools for Building a Scientific Information Platform
Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen
2012 C conf
An Ensemble Approach to Multi-label Classification of Textual Data.
ADMA
Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen
2012 — conf
An Ensemble-Based Named Entity Recognition Solution for Detecting Consumer Products.
ICDM Workshops
Lukasz Romaszko
2010 — conf
IEEE ICDM 2010 Contest: Traffic Prediction -- Jams.
ICDM Workshops
Lukasz Romaszko