Marcin Kurdziel

Marek Zachara

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks.

[BibT_eX]

[DOI]

Michal Jamroz

Rafal Wojciech Grzeszczuk

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Prediction of the Facial Growth Direction: Regression Perspective.

[BibT_eX]

[DOI]

Stanislaw Kazmierczak

Zofia Juszka

Vaska Vandevska-Radunovic

Piotr Fudalej

Jacek Mandziuk

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Effective Car Collision Detection with Mobile Phone Only.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2021, 2021

Monte Carlo Winning Tickets.

[BibT_eX]

[DOI]

Rafal Wojciech Grzeszczuk

Proceedings of the Computational Science - ICCS 2021, 2021

2020

A Bayesian Nonparametrics View into Deep Representations.

[BibT_eX]

[DOI]

Michal Jamroz

Mateusz Opala

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Neighbor-rank densities for non-metric data.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Training neural networks on high-dimensional data using random projection.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2019

Active Safety for Individual and Connected Vehicles using Mobile Phone Only.

[BibT_eX]

[DOI]

Proceedings of the MoMM 2019: The 17th International Conference on Advances in Mobile Computing & Multimedia, 2019

2018

Driver Profiling by Using LSTM Networks with Kalman Filtering.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Disambiguated skip-gram model.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Binary Paragraph Vectors.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Random projection initialization for deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Encouraging orthogonality between weight vectors in pretrained deep neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2016

2015

Effects of Sparse Initialization in Deep Belief Networks.

[BibT_eX]

[DOI]

Comput. Sci., 2015

Implementing Deep Learning Algorithms on Graphics Processor Units.

[BibT_eX]

[DOI]

Proceedings of the Parallel Processing and Applied Mathematics, 2015

2013

Finding exemplars in dense data with affinity propagation on clusters of GPUs.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2013

2011

Dense Affinity Propagation on Clusters of GPUs.

[BibT_eX]

[DOI]

Proceedings of the Parallel Processing and Applied Mathematics, 2011

2008

Approximate Clustering of Noisy Biomedical Data.

[BibT_eX]

[DOI]

Proceedings of the Computational Science, 2008

2007

Detecting Clusters of Microcalcifications in High-Resolution Mammograms Using Support Vector Machines.

[BibT_eX]

David A. Yuen

Bio Algorithms Med Syst., 2007

2006

Detection of clustered microcalcifications in small field digital mammography.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2006

Computer-based methods for breast cancer detection in mammograms.

[BibT_eX]

Bio Algorithms Med Syst., 2006

2005

Pattern recognition techniques for automatic detection of suspicious-looking anomalies in mammograms.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2005

Visual Exploration of Multidimensional Feature Space of Biological Data.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE Visualization Conference, 2005

Recognition of Subtle Microcalcifications in High-Resolution Mammograms.

[BibT_eX]

[DOI]