( en | de | ru )

 

Disambiguation of "Angelov, Plamen P."

Author of the publication

copydeleteadd this publication to your clipboard
IRootLab: a free and open-source MATLAB toolbox for vibrational biospectroscopy data analysis.

, , , , and . Bioinform., 29 (8): 1095-1097 (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Doychin Angelov

Plamen Pironkov

Numerical simulation of thermal fluid-structure interaction. TU Darmstadt, (2010)

Plamen Turkedjiev

Vasil Angelov

Plamen Kasabov

 

Other publications of authors with the same name

A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes., , , and . IEEE Geosci. Remote. Sens. Lett., 15 (3): 345-349 (2018)Automatic Design Synthesis and Optimization of Component-Based Systems by Evolutionary Algorithms., , , , and . GECCO, volume 2724 of Lecture Notes in Computer Science, page 1938-1950. Springer, (2003)An approach to online identification of Takagi-Sugeno fuzzy models., and . IEEE Trans. Syst. Man Cybern. Part B, 34 (1): 484-498 (2004)A Semi-supervised Deep Rule-Based Approach for Remote Sensing Scene Classification., and . INNSBDDL, page 257-266. Springer, (2019)Semi-supervised deep rule-based approach for image classification., and . Appl. Soft Comput., (2018)Autonomous Data Density based clustering method., , , , and . IJCNN, page 2405-2413. IEEE, (2016)Foreign currency exchange rate prediction using neuro-fuzzy systems., , , , , and . INNS Conference on Big Data, volume 144 of Procedia Computer Science, page 232-238. Elsevier, (2018)Transparency and simplification of rule-based models for on-line adaptation., , and . EUSFLAT Conf., page 324-327. De Montfort University, Leicester, UK, (2001)Deep Rule-Based Aerial Scene Classifier using High-Level Ensemble Feature Descriptor., and . IJCNN, page 1-7. IEEE, (2019)Parallel Computing TEDA for High Frequency Streaming Data Clustering., , , , and . INNS Conference on Big Data, volume 529 of Advances in Intelligent Systems and Computing, page 238-253. (2016)