Lukasz Romaszko
Lukasz Romaszko
Verified email at
Cited by
Cited by
Challenges in representation learning: A report on three machine learning contests
IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ...
Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013
Crowdtruth: Machine-human computation framework for harnessing disagreement in gathering annotated data
O Inel, K Khamkham, T Cristea, A Dumitrache, A Rutjes, J van der Ploeg, ...
The Semantic Web–ISWC 2014: 13th International Semantic Web Conference, Riva …, 2014
A brief review of the ChaLearn AutoML challenge: any-time any-dataset learning without human intervention
I Guyon, I Chaabane, HJ Escalante, S Escalera, D Jajetic, JR Lloyd, ...
Workshop on Automatic Machine Learning, 21-30, 2016
Vision-as-inverse-graphics: Obtaining a rich 3d explanation of a scene from a single image
L Romaszko, CKI Williams, P Moreno, P Kohli
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Signal correlation prediction using convolutional neural networks
L Romaszko
Neural connectomics workshop, 45-56, 2015
Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics
L Romaszko, A Borowska, A Lazarus, D Dalton, C Berry, X Luo, ...
Artificial Intelligence in Medicine 119, 102140, 2021
A deep learning approach with an ensemble-based neural network classifier for black box ICML 2013 contest
L Romaszko
Workshop on challenges in representation learning, ICML, 1-3, 2013
An ensemble approach to multi-label classification of textual data
K Kurach, K Pawłowski, Ł Romaszko, M Tatjewski, A Janusz, HS Nguyen
Advanced Data Mining and Applications: 8th International Conference, ADMA …, 2012
Massive dimensionality reduction for the left ventricular mesh
L Romaszko, A Lazarus, H Gao, A Borowska, X Luo, D Husmeier
Learning Direct Optimization for Scene Understanding
L Romaszko, CKI Williams, J Winn
Pattern Recognition, 107369, 2020
IEEE ICDM 2010 Contest: Traffic Prediction--Jams
L Romaszko
2010 IEEE International Conference on Data Mining Workshops, 1366-1368, 2010
Direct learning left ventricular meshes from CMR images
L Romaszko, A Borowska, A Lazarus, H Gao, X Luo, D Husmeier
3D scene graph inference and refinement for vision-as-inverse-graphics
L Romaszko
The University of Edinburgh, 2020
The system can't perform the operation now. Try again later.
Articles 1–13