HRZZ - Publikacije
- I. Kopriva, I. Jerić, L. Brkljačić, (2013). Nonlinear Mixture-wise Expansion Approach to Underdetermined Blind Separation of Nonnegative Dependent Sources. Journal of Chemometrics, vol. 27, pp.189-197 (IF: 1.92) (PDF) (Dodatak) (ZIP)
- I. Kopriva, J.-P. Royer, N. Thirion-Moreau, P. Comon, (2014). Error analysis of low-rank three-way tensor factorization approach to blind source separation. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014. (PDF)
- I. Kopriva, I. Jerić, (2014). Blind separation of analytes in nuclear magnetic resonance spectroscopy: Improved model for nonnegative matrix factorization. Chemometrics and Intelligent Laboratory Systems, vol. 137, pp.47-56 (IF: 2.32) (PDF) (ZIP)
- I. Kopriva, I. Jerić, M. Filipović, L. Brkljačić (2014). Empirical Kernel Map Approach to Nonlinear Underdetermined Blind Separation of Sparse Nonnegative Dependent Sources: Pure Components Extraction from Nonlinear Mixtures Mass Spectra.J. of Chemometrics, vol. 28, pp. 704-715 (IF: 1.5) (PDF) (Supporting Information) (ZIP). The method is pending for patent protection in the US.
- I. Kopriva (2015). A Nonlinear Mixture Model Based Unsupervised Variable Selection in Genomics and Proteomics. accepted for Bioinformatics 2015 - 6th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Lisbon, Portugal, January 12-15, 2015. (PDF)(ZIP)
- I. Kopriva, D. Nuzillard (2015). A Steerable Filter Bank Approach to Endmembers Estimation in Imaging Spectroscopy. accepted for 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2015), Milan, Italy, July 26-31, 2015. (PDF)
- I. Kopriva, S. Kapitanović, T. Čačev (2015). Nonlinear Sparse Component Analysis with a Reference: Variable Selection in Genomics and Proteomics. 12th International Conference on Latent Variable Analysis and Signal Separation, Lecture Notes in Computer Science 9237, pp. 168-175, DOI: 10.1007/978-3-319-22482-4_19, Liberec, Czech Republic, August 25-28, 2015.. (PDF) (ZIP)
- I. Kopriva, M. Popović Hadžija. M. Hadžija. G. Aralica (2015). Unsupervised segmentation of low-contrast multichannel images: discrimination of tissue components in microscopic image of unstained specimen, Scientific Reports 5: 11576, DOI:10.1038/srep11576 (IF: 5.58). (paper) (supplement) (code and data). The method is pending for patent protection in the US, Canada and EU.
- A. G. Savić, S. Živković, K. K. Jovanović, L. Duponchel, I. Kopriva (2015). Complete determination of plant tissues and advanced image analysis - study of needles and stamen. J. of Chemometrics, vol. 29 (10), pp. 521-627, doi: 10.1002/cem/2735 (IF: 1.5).(Matlab code)
- I. Kopriva, M. Popović Hadžija, M. Hadžija, G. Aralica (2015). Offset-sparsity decomposition for automated enhancement of color microscopic images of stained specimen in histopathology. J. of Biomedical Optics 20 (7) 076012 (July 28 2015) doi: 10.1117/1.JBO.20.7.076012 (15 pages) (IF: 2.86). (paper) (Matlab code and data)
- I. Kopriva, I. Jerić, L. Brkljačić (2015). Explicit-Implicit Mapping Approach to Nonlinear Blind Separation of Sparse Nonnegative Dependent Sources from a Single Mixture: Pure Components Extraction from Nonlinear Mixture Mass Spectra. Journal of Chemometrics , vol. 29 (11), pp.615-626 (IF: 1.5). (Paper) (Supplementary Information)(Matlab code and data)
- I. Jerić, L. Brkljačić, I. Kopriva (2015). Computationally Efficient Separation of Large Number of Analytes from Small Number of Mixture Mass Spectra. Euroanalysis 2015 - 18th edition of EuroAnalysis the European Conference on Analytical Chemistry, Bordeaux, France, September 6-10 (PDF).
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