Maciej Zieba

According to our database1, Maciej Zieba authored at least 28 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Conditional Invertible Flow for Point Cloud Generation.
CoRR, 2019

Generative Adversarial Networks: recent developments.
CoRR, 2019

Generative Adversarial Networks: Recent Developments.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

Semi-supervised Learning with Bidirectional GANs.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018
Semi-supervised learning with Bidirectional GANs.
CoRR, 2018

Adversarial Autoencoders for Generating 3D Point Clouds.
CoRR, 2018

BinGAN: Learning Compact Binary Descriptors with a Regularized GAN.
CoRR, 2018

NMRNet: a deep learning approach to automated peak picking of protein NMR spectra.
Bioinformatics, 2018

Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra.
Appl. Soft Comput., 2018

BinGAN: Learning Compact Binary Descriptors with a Regularized GAN.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Training Triplet Networks with GAN.
CoRR, 2017

Training Triplet Networks with GAN.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction.
Expert Syst. Appl., 2016

Self-paced Learning for Imbalanced Data.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015
Boosted SVM with active learning strategy for imbalanced data.
Soft Comput., 2015

Probabilistic combination of classification rules and its application to medical diagnosis.
Machine Learning, 2015

Classification Restricted Boltzmann Machine for comprehensible credit scoring model.
Expert Syst. Appl., 2015

RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique.
Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014
Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients.
Appl. Soft Comput., 2014

Selecting right questions with Restricted Boltzmann Machines.
Proceedings of the Progress in Systems Engineering, 2014

2013
On-line bayesian context change detection in web service systems.
Proceedings of the 2013 international workshop on Hot topics in cloud services, 2013

Cost Sensitive SVM with Non-informative Examples Elimination for Imbalanced Postoperative Risk Management Problem.
Proceedings of the Advances in Systems Science, 2013

Ensemble SVM for imbalanced data and missing values in postoperative risk management.
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

2012
Ensemble Classifier for Solving Credit Scoring Problems.
Proceedings of the Technological Innovation for Value Creation, 2012

2011
On some method for limited services selection.
IJIIDS, 2011

The Proposal of Service Oriented Data Mining System for Solving Real-Life Classification and Regression Problems.
Proceedings of the Technological Innovation for Sustainability, 2011

Analysis of Human Arm Motions Recognition Algorithms for System to Visualize Virtual Arm.
Proceedings of the 21st International Conference on Systems Engineering (ICSEng 2011), 2011

2010
Services Recommendation in Systems Based on Service Oriented Architecture by Applying Modified ROCK Algorithm.
Proceedings of the Networked Digital Technologies - Second International Conference, 2010


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