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Univerzitet u Nišu

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Datum kreiranja: 04.02.2014.

Branimir Todorović

Dodatne informacije

  • Lični podaci

  • Datum rođenja: 21.03.1967
  • Mesto rođenja: Nis

  • Obrazovanje

  • Fakultet: Elektronski fakultet, Univerzitet u Nisu
  • Odsek / Grupa / Smer: Racunarska tehnika
  • Godina diplomiranja: 1991

  • Spisak publikacija

  • Monografije i poglavlja u monografijama:


    1. B.Todorović, S. Rančić, E. Mulalić, Context hidden Markov model for named entity recognition, in: Gautschi, W., Mastroianni, G., Rassias, Th. M., (Eds.) Approximation and Computation, In Honor of G. V. Milovanović, Springer, 2011, pp. 447–460.  (ISBN 978-1-4419-6593-6).
      http://www.springer.com/mathematics/book/978-1-4419-6593-6




    2. B. Todorović,  M. Stanković,   C. Moraga , “On-line Adaptation of Radial Basis Function Networks using the extended Kalman filter, in: Sinčák, P., Vaščák, J. and K. Hirota (eds.), Machine intelligence: Quo vadis?, Advances in Fuzzy Systems –Appli-cations and Theory, Vol. 21, World Scientific, 2004, pp. 73–92 (ISBN 981-238-751-X). http://www.worldscibooks.com/compsci/5467.html




    3. B. Todorović,  M. Stanković,   C. Moraga, Extended Kalman filter based adaptation of time-varying recurrent radial basis function networks structure”, in: Sinčák, P., Vaščák, J. and K. Hirota (eds.), Machine intelligence: Quo vadis?, Advances in Fuzzy Systems –Appli-cations and Theory, Vol. 21, World Scientific, 2004, pp. 115–124 (ISBN 981-238-751-X).
      http://www.worldscibooks.com/compsci/5467.html
  • Radovi u časopisima sa IMPACT faktorom:


    1. A. Trokicić and B. Todorović, On expected error of randomized nystrom kernel regression, Filomat, 2020, 34(11), 3871-3884




    2. A. Trokicić and B. Todorović, Constrained spectral clustering via multilayer graph embeddings on a grassmann manifold, International Journal of Applied Mathematics and Computer Science, 2019, 29(1), 125-137




    3. Dejan I. Mancev and B. Todorović , K-best max-margin approaches for sequence labeling. Comput. Sci. Inf. Syst. 12(2): 465-486 (2015)




    4. Dejan I. Mancev and B. Todorović, A primal sub-gradient method for structured classification with the averaged sum loss. Int. J. Appl. Math. Comput. Sci. 24(4): 917-930 (2014)




    5. Ilic Velimir, Stankovic Miomir, Todorovic Branimir,  Computation of Cross-Moments Using Message Passing Over Factor Graphs , ADVANCES IN MATHEMATICS OF COMMUNICATIONS, (2012), vol. 6 br. 3, str. 363-384




    6. Ilic Velimir, Mancev Dejan, Todorovic Branimir, Stankovic Miomir, Gradient computation in linear-chain conditional random fields using the entropy message passing algorithm,  PATTERN RECOGNITION LETTERS, (2012), vol. 33 br. 13, str. 1776-1784




    7. Protic Milan, Stankovic Miomir, Mitic Dragan , Todorovic Branimir, Application of Fractional Calculus in Ground Heat Flux Estimation, THERMAL SCIENCE, (2012), vol. 16 br. 2, str. 373-384




    8. V. Ilić, M. Stanković, B. Todorović, Entropy message passing, IEEE Transactions on Information Theory 57 (1) (2011), 375–380. http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5673956&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F18%2F5673678%2F05673956.pdf%3Farnumber%3D5673956




    9. S. Trajković, B. Todorović, M. Stanković, Closure to "Forecasting of reference evapotranspiration by artificial neural networks,  Journal of Irrigation and Drainage Engineering 131 (4) (2005), 391–392. http://ascelibrary.org/iro/resource/1/jidedh/v131/i4/p391_s1?isAuthorized=no




    10. S. Trajković, M. Stanković, B. Todorović,  Estimation of FAO Blaney-Criddle b factor by RBF network, Journal of Irrigation and Drainage Engineering  126 (4) (2000),  268–270.
      http://cedb.asce.org/cgi/WWWdisplay.cgi?122897




    11. B. Todorović, M. Stanković, C. Moraga, Extended Kalman filter trained recurrent radial basis function network in nonlinear system identification, Lecture Notes In Computer Science 2415 (2002) 819–824. http://www.springerlink.com/content/lyygy7y3l54uv0el/




    12. S. Trajković, B. Todorović, M. Stanković, Forecasting of reference evapotranspiration by artificial neural networks,  Journal of Irrigation and Drainage Engineering 129 (6) (2003), 454–457.
      http://ascelibrary.org/iro/resource/1/jidedh/v129/i6/p454_s1?isAuthorized=no 




    13. M. Raos, Lj. Živković,  B. Todorović, N. Živković, A. Đorđevć, J. Radosavljević, Modelling of Parameters of the Air Purifying Process With a Filter- Adsorber Type Purifier by Use of Neural Network, Strojarstvo 53 (3) (2011), 165–170. http://hrcak.srce.hr/index.php?show=toc&id_broj=6336
  • Radovi u ostalim časopisima:

    1. M. Raos, Lj. Živković, A. Đorđević, B. Todorović, Modelling of the filter-adsorber type air cleaner by using neural network, Facta Universitatis, Series: Physics, Chemistry and Technology 7 (1) (2009), 23­–31.


    2. S. Todorović-Zarkula, B. Todorović, M. Stanković, On-line blind separation of non-stationary signals,  YUJOR – Yugoslav Journal of Operations Research,  15 (1) (2005), 79-95.




    3.  S. Trajković, B. Todorović, M. M. Stanković,   Estimation of FAO Penman c factor by RBF networks, Facta Universitatis, Series:  Architecture and Civil Engineering, 2(3) (2004), 185-192.




    4. M. Raos, Lj. Živković, N. Živković, B. Todorović, The modeling of air pollution control devices using neural networks, Facta Universitatis, Series: Working and Living Environmental Protection 2 (5) (2005), 485–492.
  • Radovi na naučnim skupovima međunarodnog značaja:


    1. A. Trokicić and B. Todorović, Randomized nystrom features for fast regression: An error analysis, In: Ćirić M., Droste M., Pin JÉ. (eds) Algebraic Informatics. CAI 2019. Lecture Notes in Computer Science, vol 11545, Springer, 2019, pages 249-257.




    2. B. Todorović, S. Rančić, I. Marković, E. Mulalić, V. Ilić, Named entity recognition and classification using context hidden Markov model, NEUREL 2008 – Ninth Symposium on Neural Network Applications in Electrical Engineering, Proceedings, 2008, pp. 41–44.




    3. I. Marković, B. Todorović, Sequential training of support vector machine, NEUREL 2008 – Ninth Symposium on Neural Network Applications in Electrical Engineering, Proceedings, 2008, pp. 35–40.




    4. B. Todorović, M. Stanković,  C. Moraga, Gaussian sum filters for recurrent neural networks training, NEUREL 2006: Eight Seminar on Neural Network Applications in Electrical Engineering, Proceedings, 2006, pp. 53–58.




    5. Z. Džunić, S. Momčilović, B. Todorović, M. Stanković, Coreference resolution using decision trees, NEUREL 2006: Eight Seminar on Neural Network Applications in Electrical Engineering, Proceedings, 2006, pp. 109–114.




    6. S. Trajković, B. Todorović, M. Stanković, Estimating maximum discharge in the irrigation system. Part I: The ANN-based module of estimating reference evapotranspiration, Proceedings of the 4th International workshop on Research on Irrigation and Drainage, Skopje, Macedonia, 2004, pp. 133–140.




    7. B. Todorović, M. Stanković, C. Moraga, Nonlinear Bayesian estimation of recurrent neural networks, Proc. of IEEE 4th International Conference on Intelligent Systems Design and Applications ISDA 2004, Budapest, Hungary, 2004, pp. 855–860 (ISBN 963-7154-30-2).




    8. S. Todorović-Zarkula, B. Todorović, M. Stanković, V. Pavlović, Extended Kalman filter in blind separation of nonstationary signals, Proceedings of EUSIPCO-2004, 12th European Signal Processing Conference, Vienna, Austria, 2004 (ISBN 3-200-00165-8).




    9. B. Todorović, C. Moraga, M. Stanković, B. Kovačević, Neural network training using derivative free Kalman filters, Proc. of a Workshop on Computational Intelligence and Information Technologies, Niš, Serbia, 2003, pp. 39–46 (ISBN86-80135-78-X).




    10. S. Todorović-Zarkula, B. Todorović, C. Moraga, M. Stanković, Blind separation and deconvolution of nonstationary signals, Proc. of a Workshop on Computational Intelligence and Information Technologies, Niš, Serbia, 2003, pp. 33–39 (ISBN86-80135-78-X).




    11. B. Todorović, M. Stanković, C. Moraga, On-line learning in recurrent neural networks using nonlinear Kalman filters, Proc. of ISSPIT 2003, Darmstadt, Germany, 2003 (ISBN 0-7803-8293-5).




    12. S. Todorović-Zarkula, B. Todorović, M. Stanković, C. Moraga, Convolutive blind separation of nonstationary signals using the extended Kalman filter, Proc. of International Conference on Signal Processing Canakkale, Turkiye, 2003, Vol. 1, No. 2, pp. 203–206 (ISSN 1304-2386).




    13. S. Trajković, B. Todorović, M. Stanković, Estimation of FAO radiation adjustment factor by RBF networks, 3rd International workshop on Research on Irrigation and Drainage, Skopje, Macedonia, 2003, pp. 307–312.




    14. S. Trajković, B. Todorović, M. Stanković, V. Stojnić, Forecasting of crop water demands by ARIMA and ANN models, 2nd International workshop on Research on Irrigation and Drainage, Skopje, Macedonia, 2002, pp. 79–86.




    15. B.Todorović, M. Stanković, C. Moraga, Modeling non-stationary dynamic systems using recurrent radial basis function networks”, in Proc. of the 6th Seminar on Neural Network Applications in Electrical Engineering, NEUREL 2002, Belgrade, 2002.




    16. B. Todorović,  C. Moraga, M. Stanković,   B. Kovačević, Nonlinear/non-Gaussian sequen-tial estimation applied to neural networks: Theory, Proc. of ICEST 2002, Niš, 2002, pp. 765–768 (ISBN 86-80135-69-0).




    17. B. Todorović,  C. Moraga, M. Stanković,   B. Kovačević, Nonlinear/non-Gaussian sequen-tial estimation applied to neural networks: Algorithms, Proc. of ICEST 2002, Niš, 2002, pp. 769–772 (ISBN 86-80135-69-0).




    18. B. Todorović,  M. Stanković, Sequential structure adaptation of multiple radial basis function networks, Proc of South-Eastern European Workshop on Computational Intel-ligence and Informational Technologies, Niš, Yugoslavia, 2001, pp. 29–55 (ISBN 86-801 35-36-4).




    19. B. Todorović,  M. Stanković, Training recurrent radial basis function network using extended Kalman filter: Parameter, state and structure estimation, Proc. of South-East-ern European Workshop on Computational Intelligence and Informational Techno-logies, Niš, Yugoslavia, 2001, pp. 47–52 (ISBN 86-80135-41-0).




    20. B. Todorović, M. Stanković, Sequential growing and pruning of radial basis function network, Proc. of IJCNN 2001, Washington DC, USA, 2001, Vol. 3, pp. 1954–1959 (ISBN 0780370449).




    21. B. Todorović, M. Stanković, S. Todorović-Zarkula, Structurally adaptive RBF network in non-stationary time series prediction, Proc. IEEE AS-SPCC, Lake Louise, Alberta, Canada, 2000, pp. 224–229 (ISBN 0 -7803-5800-7).




    22. B. Todorović, M. Stanković, S. Todorović-Zarkula, On line adaptive RBF network in stationary and nonstationary environment, Proceedings of  10th Mediterranean Electrotechnical Conference, 2000, pp. 453–456 (ISBN 0-7803-6290-X).




    23. S. Trajković, V. Stojnić, B. Todorović, M. Stanković, Converting from PAN evapotranspi-ration to evapotranspiration using radial basis function networks, 4th International Conference Hydroinformatics, Ceder Rapids, Iowa, USA, 2000, paper no 289.




    24. S. Trajković, V. Stojnić, B. Todorović,  M. Stanković, Forecasting of evaporaton rate form evaporaton PAN sing neural networks, 4th International Conference Hydroinformatics, Ceder Rapids, Iowa, USA, 2000, paper no 290.




    25. S. Trajković, M. Stanković, B. Todorović, A neural network for solar radiation to evapo-transpiration conversions, International Conference CONTI, Tamisoara, Romania, 2000, Paper No. AI I/3.  
  • Radovi na domaćim naučnim skupovima:

    A. Trokicić and B. Todorović, Nystrom views via the randomized SVD for semi-supervised learning, The Fourth Conference on Information Theory and Complex Systems, TINKOS 2016, October 27-28


    A. Trokicić and B. Todorović, Error analysis of a kernel regression based on a randomized matrix approximation, The Fifth Conference on Information Theory and Complex Systems, TINKOS 2017, November 9-10
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