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Marcin Kurdziel
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2020 – today
- 2023
- [c20]Michal Jamroz, Marcin Kurdziel:
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks. AAAI 2023: 7988-7995 - [c19]Mohamad Soubra, Marek Kisiel-Dorohinicki, Marcin Kurdziel, Marek Zachara:
Incident Detection with Pruned Residual Multilayer Perceptron Networks. FedCSIS 2023: 1143-1148 - 2022
- [c18]Stanislaw Kazmierczak, Zofia Juszka, Rafal Wojciech Grzeszczuk, Marcin Kurdziel, Vaska Vandevska-Radunovic, Piotr Fudalej, Jacek Mandziuk:
Prediction of the Facial Growth Direction: Regression Perspective. ICONIP (7) 2022: 395-407 - [i2]Michal Jamroz, Marcin Kurdziel:
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks. CoRR abs/2212.00771 (2022) - 2021
- [c17]Rafal Wojciech Grzeszczuk, Marcin Kurdziel:
Monte Carlo Winning Tickets. ICCS (2) 2021: 133-139 - [c16]Mateusz Paciorek, Adrian Klusek, Piotr Wawryka, Michal Kosowski, Andrzej Piechowicz, Julia Plewa, Marek Powroznik, Wojciech Wach, Bartosz Rakoczy, Aleksander Byrski, Marcin Kurdziel, Wojciech Turek:
Effective Car Collision Detection with Mobile Phone Only. ICCS (6) 2021: 303-317 - 2020
- [c15]Michal Jamroz, Marcin Kurdziel, Mateusz Opala:
A Bayesian Nonparametrics View into Deep Representations. NeurIPS 2020
2010 – 2019
- 2019
- [j10]Piotr Iwo Wójcik, Marcin Kurdziel:
Training neural networks on high-dimensional data using random projection. Pattern Anal. Appl. 22(3): 1221-1231 (2019) - [j9]Marcin Kurdziel, Krzysztof Boryczko:
Neighbor-rank densities for non-metric data. Pattern Recognit. Lett. 128: 306-310 (2019) - [c14]Mateusz Paciorek, Piotr Wawryka, Adrian Klusek, Przemyslaw Kalawski, Michal Kosowski, Andrzej Piechowicz, Julia Plewa, Marek Powroznik, Michal Sledz, Aleksander Byrski, Marcin Kurdziel, Wojciech Turek:
Active Safety for Individual and Connected Vehicles using Mobile Phone Only. MoMM 2019: 36-45 - 2018
- [c13]Karol Grzegorczyk, Marcin Kurdziel:
Disambiguated skip-gram model. EMNLP 2018: 1445-1454 - [c12]Adrian Klusek, Marcin Kurdziel, Mateusz Paciorek, Piotr Wawryka, Wojciech Turek:
Driver Profiling by Using LSTM Networks with Kalman Filtering. Intelligent Vehicles Symposium 2018: 1983-1988 - 2017
- [c11]Piotr Iwo Wójcik, Marcin Kurdziel:
Random projection initialization for deep neural networks. ESANN 2017 - [c10]Karol Grzegorczyk, Marcin Kurdziel:
Binary Paragraph Vectors. Rep4NLP@ACL 2017: 121-130 - 2016
- [j8]Karol Grzegorczyk, Marcin Kurdziel, Piotr Iwo Wójcik:
Encouraging orthogonality between weight vectors in pretrained deep neural networks. Neurocomputing 202: 84-90 (2016) - [i1]Karol Grzegorczyk, Marcin Kurdziel:
Binary Paragraph Vectors. CoRR abs/1611.01116 (2016) - 2015
- [j7]Karol Grzegorczyk, Marcin Kurdziel, Piotr Iwo Wójcik:
Effects of Sparse Initialization in Deep Belief Networks. Comput. Sci. 16(4): 313-391 (2015) - [c9]Karol Grzegorczyk, Marcin Kurdziel, Piotr Iwo Wójcik:
Implementing Deep Learning Algorithms on Graphics Processor Units. PPAM (1) 2015: 473-482 - 2013
- [j6]Marcin Kurdziel, Krzysztof Boryczko:
Finding exemplars in dense data with affinity propagation on clusters of GPUs. Concurr. Comput. Pract. Exp. 25(8): 1137-1152 (2013) - 2011
- [c8]Marcin Kurdziel, Krzysztof Boryczko:
Dense Affinity Propagation on Clusters of GPUs. PPAM (1) 2011: 599-608
2000 – 2009
- 2008
- [c7]Krzysztof Boryczko, Marcin Kurdziel:
Approximate Clustering of Noisy Biomedical Data. ICCS (1) 2008: 630-640 - 2007
- [j5]Marcin Kurdziel, Krzysztof Boryczko, David A. Yuen:
Detecting Clusters of Microcalcifications in High-Resolution Mammograms Using Support Vector Machines. Bio Algorithms Med Syst. 3(6): 11-21 (2007) - 2006
- [j4]Witold Dzwinel, Krzysztof Boryczko, Tomasz Arodz, Marcin Kurdziel:
Computer-based methods for breast cancer detection in mammograms. Bio Algorithms Med Syst. 1(1-2): 287-290 (2006) - [j3]Tomasz Arodz, Marcin Kurdziel, Tadeusz J. Popiela, Erik O. D. Sevre, David A. Yuen:
Detection of clustered microcalcifications in small field digital mammography. Comput. Methods Programs Biomed. 81(1): 56-65 (2006) - 2005
- [j2]Tomasz Arodz, Marcin Kurdziel, Erik O. D. Sevre, David A. Yuen:
Pattern recognition techniques for automatic detection of suspicious-looking anomalies in mammograms. Comput. Methods Programs Biomed. 79(2): 135-149 (2005) - [c6]Krzysztof Boryczko, Marcin Kurdziel:
Recognition of Subtle Microcalcifications in High-Resolution Mammograms. CORES 2005: 485-492 - [c5]Tomasz Arodz, Krzysztof Boryczko, Witold Dzwinel, Marcin Kurdziel, David A. Yuen:
Visual Exploration of Multidimensional Feature Space of Biological Data. IEEE Visualization 2005: 90 - 2004
- [j1]Bartosz Balis, Marian Bubak, Wlodzimierz Funika, Roland Wismüller, Marcin Radecki, Tomasz Szepieniec, Tomasz Arodz, Marcin Kurdziel:
Grid environment for on-line application monitoring and performance analysis. Sci. Program. 12(4): 239-251 (2004) - [c4]Roland Wismüller, Marian Bubak, Wlodzimierz Funika, Tomasz Arodz, Marcin Kurdziel:
Support for User-Defined Metrics in the Online Performance Analysis Tool G-PM. European Across Grids Conference 2004: 159-168 - [c3]Roland Wismüller, Marian Bubak, Wlodzimierz Funika, Tomasz Arodz, Marcin Kurdziel:
Performance Measurement Model in the G-PM Tool. International Conference on Computational Science 2004: 462-465 - [c2]Bartosz Balis, Marian Bubak, Wlodzimierz Funika, Roland Wismüller, Marcin Radecki, Tomasz Szepieniec, Tomasz Arodz, Marcin Kurdziel:
Performance Evaluation and Monitoring of Interactive Grid Applications. PVM/MPI 2004: 345-352 - 2003
- [c1]Marian Bubak, Wlodzimierz Funika, Roland Wismüller, Tomasz Arodz, Marcin Kurdziel:
The G-PM Tool for Grid-Oriented Performance Analysis. European Across Grids Conference 2003: 240-248
Coauthor Index
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