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Plamen P Angelov

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IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|September 17, 2004
An approach to online identification of Takagi-Sugeno fuzzy modelsPlamen P Angelov, Dimitar P Filev
IEEE Transactions on Cybernetics|February 25, 2020
Particle Swarm Optimized Autonomous Learning Fuzzy SystemXiaowei Gu, Qiang Shen, Plamen P Angelov
IEEE Transactions on Cybernetics|October 17, 2017
A Generalized Methodology for Data AnalysisPlamen P Angelov, Xiaowei Gu, Jose C Principe
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 30, 2020
A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image AnalysisXiaowei Gu, Plamen P Angelov, Ce Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
PANFIS: a novel incremental learning machineMahardhika Pratama, Sreenatha G Anavatti, Plamen P Angelov, et al.
Bioinformatics (Oxford, England)|February 21, 2013
IRootLab: a free and open-source MATLAB toolbox for vibrational biospectroscopy data analysisJúlio Trevisan, Plamen P Angelov, Andrew D Scott, et al.
The Analyst|May 26, 2012
Extracting biological information with computational analysis of Fourier-transform infrared (FTIR) biospectroscopy datasets: current practices to future perspectivesJúlio Trevisan, Plamen P Angelov, Paul L Carmichael, et al.
Analytical and Bioanalytical Chemistry|September 22, 2010
Robust classification of low-grade cervical cytology following analysis with ATR-FTIR spectroscopy and subsequent application of self-learning classifier eClassJemma G Kelly, Plamen P Angelov, Júlio Trevisan, et al.
Journal of Biophotonics|March 8, 2014
Measuring similarity and improving stability in biomarker identification methods applied to Fourier-transform infrared (FTIR) spectroscopyJúlio Trevisan, Juhyun Park, Plamen P Angelov, et al.
The Analyst|October 13, 2010
Syrian hamster embryo (SHE) assay (pH 6.7) coupled with infrared spectroscopy and chemometrics towards toxicological assessmentJúlio Trevisan, Plamen P Angelov, Imran I Patel, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|September 17, 2004
An approach to online identification of Takagi-Sugeno fuzzy modelsPlamen P Angelov, Dimitar P Filev
IEEE Transactions on Cybernetics|February 25, 2020
Particle Swarm Optimized Autonomous Learning Fuzzy SystemXiaowei Gu, Qiang Shen, Plamen P Angelov
IEEE Transactions on Cybernetics|October 17, 2017
A Generalized Methodology for Data AnalysisPlamen P Angelov, Xiaowei Gu, Jose C Principe
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 30, 2020
A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image AnalysisXiaowei Gu, Plamen P Angelov, Ce Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
PANFIS: a novel incremental learning machineMahardhika Pratama, Sreenatha G Anavatti, Plamen P Angelov, et al.
Bioinformatics (Oxford, England)|February 21, 2013
IRootLab: a free and open-source MATLAB toolbox for vibrational biospectroscopy data analysisJúlio Trevisan, Plamen P Angelov, Andrew D Scott, et al.
The Analyst|May 26, 2012
Extracting biological information with computational analysis of Fourier-transform infrared (FTIR) biospectroscopy datasets: current practices to future perspectivesJúlio Trevisan, Plamen P Angelov, Paul L Carmichael, et al.
Analytical and Bioanalytical Chemistry|September 22, 2010
Robust classification of low-grade cervical cytology following analysis with ATR-FTIR spectroscopy and subsequent application of self-learning classifier eClassJemma G Kelly, Plamen P Angelov, Júlio Trevisan, et al.
Journal of Biophotonics|March 8, 2014
Measuring similarity and improving stability in biomarker identification methods applied to Fourier-transform infrared (FTIR) spectroscopyJúlio Trevisan, Juhyun Park, Plamen P Angelov, et al.
The Analyst|October 13, 2010
Syrian hamster embryo (SHE) assay (pH 6.7) coupled with infrared spectroscopy and chemometrics towards toxicological assessmentJúlio Trevisan, Plamen P Angelov, Imran I Patel, et al.
Pageof 1