Marcin Kurdziel

According to our database1, Marcin Kurdziel authored at least 30 papers between 2003 and 2023.

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Bibliography

2023
Incident Detection with Pruned Residual Multilayer Perceptron Networks.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Prediction of the Facial Growth Direction: Regression Perspective.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Effective Car Collision Detection with Mobile Phone Only.
Proceedings of the Computational Science - ICCS 2021, 2021

Monte Carlo Winning Tickets.
Proceedings of the Computational Science - ICCS 2021, 2021

2020
A Bayesian Nonparametrics View into Deep Representations.
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.
Pattern Recognit. Lett., 2019

Training neural networks on high-dimensional data using random projection.
Pattern Anal. Appl., 2019

Active Safety for Individual and Connected Vehicles using Mobile Phone Only.
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.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Disambiguated skip-gram model.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Binary Paragraph Vectors.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Random projection initialization for deep neural networks.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Encouraging orthogonality between weight vectors in pretrained deep neural networks.
Neurocomputing, 2016

2015
Effects of Sparse Initialization in Deep Belief Networks.
Comput. Sci., 2015

Implementing Deep Learning Algorithms on Graphics Processor Units.
Proceedings of the Parallel Processing and Applied Mathematics, 2015

2013
Finding exemplars in dense data with affinity propagation on clusters of GPUs.
Concurr. Comput. Pract. Exp., 2013

2011
Dense Affinity Propagation on Clusters of GPUs.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

2008
Approximate Clustering of Noisy Biomedical Data.
Proceedings of the Computational Science, 2008

2007
Detecting Clusters of Microcalcifications in High-Resolution Mammograms Using Support Vector Machines.
Bio Algorithms Med Syst., 2007

2006
Detection of clustered microcalcifications in small field digital mammography.
Comput. Methods Programs Biomed., 2006

Computer-based methods for breast cancer detection in mammograms.
Bio Algorithms Med Syst., 2006

2005
Pattern recognition techniques for automatic detection of suspicious-looking anomalies in mammograms.
Comput. Methods Programs Biomed., 2005

Visual Exploration of Multidimensional Feature Space of Biological Data.
Proceedings of the 16th IEEE Visualization Conference, 2005

Recognition of Subtle Microcalcifications in High-Resolution Mammograms.
Proceedings of the Computer Recognition Systems, 2005

2004
Grid environment for on-line application monitoring and performance analysis.
Sci. Program., 2004

Performance Evaluation and Monitoring of Interactive Grid Applications.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2004

Performance Measurement Model in the G-PM Tool.
Proceedings of the Computational Science, 2004

Support for User-Defined Metrics in the Online Performance Analysis Tool G-PM.
Proceedings of the Grid Computing, 2004

2003
The G-PM Tool for Grid-Oriented Performance Analysis.
Proceedings of the Grid Computing, 2003


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