| Detection of clustered microcalcifications in small field digital mammography T Arodź, M Kurdziel, TJ Popiela, EOD Sevre, DA Yuen computer methods and programs in biomedicine 81 (1), 56-65, 2006 | 101 | 2006 |
| Dynamics of water at membrane surfaces: Effect of headgroup structure K Murzyn, W Zhao, M Karttunen, M Kurdziel, T Róg Biointerphases 1 (3), 98-105, 2006 | 96 | 2006 |
| Training neural networks on high-dimensional data using random projection PI Wójcik, M Kurdziel Pattern Analysis and Applications 22, 1221-1231, 2019 | 68 | 2019 |
| Pattern recognition techniques for automatic detection of suspicious-looking anomalies in mammograms T Arodź, M Kurdziel, EOD Sevre, DA Yuen Computer Methods and Programs in Biomedicine 79 (2), 135-149, 2005 | 44 | 2005 |
| Grid Environment for On‐line Application Monitoring and Performance Analysis B Baliś, M Bubak, W Funika, R Wismüller, M Radecki, T Szepieniec, ... Scientific Programming 12 (4), 239-251, 2004 | 20 | 2004 |
| Encouraging orthogonality between weight vectors in pretrained deep neural networks K Grzegorczyk, M Kurdziel, PI Wójcik Neurocomputing 202, 84-90, 2016 | 17 | 2016 |
| Support for user-defined metrics in the online performance analysis tool G-PM R Wismüller, M Bubak, W Funika, T Arodź, M Kurdziel Grid Computing: Second European AcrossGrids Conference, AxGrids 2004 …, 2004 | 16 | 2004 |
| The G-PM tool for grid-oriented performance analysis M Bubak, W Funika, R Wismüller, T Arodź, M Kurdziel Grid Computing: First European Across Grids Conference, Santiago de …, 2004 | 14 | 2004 |
| Performance evaluation and monitoring of interactive grid applications B Baliś, M Bubak, W Funika, R Wismüller, M Radecki, T Szepieniec, ... European Parallel Virtual Machine/Message Passing Interface Users’ Group …, 2004 | 13 | 2004 |
| Driver profiling by using LSTM networks with Kalman filtering A Kłusek, M Kurdziel, M Paciorek, P Wawryka, W Turek 2018 IEEE Intelligent Vehicles Symposium (IV), 1983-1988, 2018 | 10 | 2018 |
| Binary Paragraph Vectors K Grzegorczyk, M Kurdziel Proceedings of the 2nd Workshop on Representation Learning for NLP, 121-130, 2017 | 7 | 2017 |
| Effects of sparse initialization in deep belief networks K Grzegorczyk, M Kurdziel, PI Wójcik Computer Science 16, 313-327, 2015 | 7 | 2015 |
| Finding exemplars in dense data with affinity propagation on clusters of GPUs M Kurdziel, K Boryczko Concurrency and Computation: Practice and Experience 25 (8), 1137-1152, 2013 | 6 | 2013 |
| Implementing deep learning algorithms on graphics processor units K Grzegorczyk, M Kurdziel, PI Wójcik Parallel Processing and Applied Mathematics: 11th International Conference …, 2016 | 5 | 2016 |
| Dense affinity propagation on clusters of GPUs M Kurdziel, K Boryczko Parallel Processing and Applied Mathematics: 9th International Conference …, 2012 | 4 | 2012 |
| Approximate clustering of noisy biomedical data K Boryczko, M Kurdziel Computational Science–ICCS 2008: 8th International Conference, Kraków …, 2008 | 4 | 2008 |
| Recognition of subtle microcalcifications in high-resolution mammograms K Boryczko, M Kurdziel Computer Recognition Systems: Proceedings of the 4th International …, 2005 | 4 | 2005 |
| Disambiguated skip-gram model K Grzegorczyk, M Kurdziel Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 3 | 2018 |
| Procrustes analysis of truncated least squares multidimensional scaling M Kurdziel, K Boryczko, W Dzwinel Computing and Informatics 31 (6+), 1417-1440, 2012 | 3 | 2012 |
| Detecting Clusters of Microcalcifications in High-Resolution Mammograms Using Support Vector Machines. M Kurdziel, K Boryczko, DA Yuen Bio Algorithms Med Syst. 3 (6), 11-21, 2007 | 3 | 2007 |
