Rafal Zdunek
Orcid: 0000-0003-3323-6717
According to our database1,
Rafal Zdunek
authored at least 87 papers
between 2004 and 2024.
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Bibliography
2024
Bearing Damage Detection With Orthogonal and Nonnegative Low-Rank Feature Extraction.
IEEE Trans. Ind. Informatics, February, 2024
Reduced storage direct tensor ring decomposition for convolutional neural networks compression.
CoRR, 2024
2023
Bi-level algorithm for optimizing hyperparameters in penalized nonnegative matrix factorization.
Appl. Math. Comput., November, 2023
Appl. Soft Comput., 2023
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Tensor Train Subspace Analysis for Classification of Hand Gestures with Surface EMG Signals.
Proceedings of the Computational Science - ICCS 2023, 2023
2022
Incremental Nonnegative Tucker Decomposition with Block-Coordinate Descent and Recursive Approaches.
Symmetry, 2022
CoRR, 2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Convolutional Neural Network Compression via Tensor-Train Decomposition on Permuted Weight Tensor with Automatic Rank Determination.
Proceedings of the Computational Science - ICCS 2022, 2022
2021
Signal Process. Image Commun., 2021
On-Off Scheduling for Electric Vehicle Charging in Two-Links Charging Stations Using Binary Optimization Approaches.
Sensors, 2021
Fast hierarchical tucker decomposition with single-mode preservation and tensor subspace analysis for feature extraction from augmented multimodal data.
Neurocomputing, 2021
2020
Classification of Copper Minerals by Handheld Laser-Induced Breakdown Spectroscopy and Nonnegative Tensor Factorisation.
Sensors, 2020
Trust-Region Strategy with Cauchy Point for Nonnegative Tensor Factorization with Beta-Divergence.
Proceedings of the Intelligent Decision Technologies, 2020
2019
IEEE Signal Process. Lett., 2019
Linked CP tensor decomposition algorithms for shared and individual feature extraction.
Signal Process. Image Commun., 2019
Recognition of Pharmacological Bi-Heterocyclic Compounds by Using Terahertz Time Domain Spectroscopy and Chemometrics.
Sensors, 2019
Neurocomputing, 2019
Proceedings of the Signal Processing: Algorithms, 2019
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Eleventh International Conference on Ubiquitous and Future Networks, 2019
2018
Distributed geometric nonnegative matrix factorization and hierarchical alternating least squares-based nonnegative tensor factorization with the MapReduce paradigm.
Concurr. Comput. Pract. Exp., 2018
Randomized Nonnegative Tensor Factorization for Feature Extraction from High-dimensional Signals.
Proceedings of the 25th International Conference on Systems, Signals and Image Processing, 2018
Feature-Fusion HALS-based Algorithm for Linked CP Decomposition Model in Application to Joint EMG/MMG Signal Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the Artificial Intelligence and Soft Computing, 2018
Proceedings of the Artificial Intelligence and Soft Computing, 2018
Image Completion with Nonnegative Matrix Factorization Under Separability Assumption.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
2017
Proceedings of the Advances in Computational Intelligence, 2017
Proceedings of the Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology - ISAT 2017, 2017
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017
2016
Proceedings of the Signal Processing: Algorithms, 2016
Extraction of Dynamic Nonnegative Features from Multidimensional Nonstationary Signals.
Proceedings of the Data Mining and Big Data, First International Conference, 2016
2015
Smooth nonnegative matrix and tensor factorizations for robust multi-way data analysis.
Signal Process., 2015
Proceedings of the Artificial Intelligence and Soft Computing, 2015
2014
Regularized nonnegative matrix factorization: Geometrical interpretation and application to spectral unmixing.
Int. J. Appl. Math. Comput. Sci., 2014
Alternating direction method for approximating smooth feature vectors in Nonnegative Matrix Factorization.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
Proceedings of the Artificial Intelligence and Soft Computing, 2014
2013
Improved Convolutive and Under-Determined Blind Audio Source Separation with MRF Smoothing.
Cogn. Comput., 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
2012
Approximation of Feature Vectors in Nonnegative Matrix Factorization with Gaussian Radial Basis Functions.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the Artificial Intelligence and Soft Computing, 2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Trust-Region Algorithm for Nonnegative Matrix Factorization with Alpha- and Beta-divergences.
Proceedings of the Pattern Recognition, 2012
2011
Regularized NNLS Algorithms for Nonnegative Matrix Factorization with Application to Text Document Clustering.
Proceedings of the Computer Recognition Systems 4, 2011
Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering.
IEEE Trans. Neural Networks, 2011
Convolutive Nonnegative Matrix Factorization with Markov Random Field Smoothing for Blind Unmixing of Multichannel Speech Recordings.
Proceedings of the Advances in Nonlinear Speech Processing, 2011
Regularized Active Set Least Squares Algorithm for Nonnegative Matrix Factorization in Application to Raman Spectra Separation.
Proceedings of the Advances in Computational Intelligence, 2011
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011
2010
Aust. J. Intell. Inf. Process. Syst., 2010
Novel Alternating Least Squares Algorithm for Nonnegative Matrix and Tensor Factorizations.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010
Proceedings of the Artifical Intelligence and Soft Computing, 2010
Proceedings of the Artificial Intelligence and Soft Computing, 2010
2009
IEEE Trans. Signal Process., 2009
Nonnegative Matrix and Tensor Factorizations - Applications to Exploratory Multi-way Data Analysis and Blind Source Separation.
Wiley, ISBN: 978-0-470-74727-8, 2009
2008
Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals.
IEEE Trans. Signal Process., 2008
Theor. Comput. Sci., 2008
IEEE Signal Process. Mag., 2008
Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems.
Comput. Intell. Neurosci., 2008
Comput. Intell. Neurosci., 2008
Proceedings of the Advances in Neural Networks, 2008
Tomographic image reconstruction from limited-view projections with Wiener filtered focuss algorithm.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008
Proceedings of the Artificial Intelligence and Soft Computing, 2008
2007
Signal Process., 2007
Int. J. Neural Syst., 2007
Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization.
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
2006
Proceedings of the IEEE 17th International Symposium on Personal, 2006
New Algorithms for Non-Negative Matrix Factorization in Applications to Blind Source Separation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the Artificial Intelligence and Soft Computing, 2006
Proceedings of the Artificial Intelligence and Soft Computing, 2006
Csiszár's Divergences for Non-negative Matrix Factorization: Family of New Algorithms.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
2005
Electron. Notes Discret. Math., 2005
Application of linear solvers to UMTS network optimization without and with smart antennas.
Proceedings of the IEEE 16th International Symposium on Personal, 2005
2004
Math. Comput. Simul., 2004