Dr Branimir Т. Тodorović

Vanredni profesor
Departman za računarske nauke

  • Stevanović, Nikola, Branimir Todorović, and Vladan Todorović. 2022. “Web Attack Detection Based on Traps.” Applied Intelligence 52(11): 12397–421.
  • Trokicić, Aleksandar, and Branimir Todorović. 2020. “On Expected Error of Randomized Nyström Kernel Regression.” Filomat 34(11): 3871–84.
  • Trokicić, Aleksandar, and Branimir Todorović. 2019. “Randomized Nyström Features for Fast Regression: An Error Analysis.” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11545 LNCS: 249–57. https://ezproxy.nb.rs:2134/chapter/10.1007/978-3-030-21363-3_21
  • Trokicić, Aleksandar, and Branimir Todorović. 2019. “Constrained Spectral Clustering via Multi-Layer Graph Embeddings on a Grassmann Manifold.” International Journal of Applied Mathematics and Computer Science 29(1): 125–37.
  • Djordjević, Amelija et al. 2016. “Respiratorne Bolesti Dece Predškolskog Uzrasta u Nišu Izložene Čestičastim Materijama i Ugljen-Monoksidu Iz Vazduha Okoline.” Vojnosanitetski Pregled 73(4): 326–36.
  • Todorović, Branimir, Miomir Stanković, and Claudio Moraga. 2016. “Recurrent Neural Networks Training Using Derivative Free Nonlinear Bayesian Filters.” Studies in Computational Intelligence 620: 383–410. https://ezproxy.nb.rs:2134/chapter/10.1007/978-3-319-26393-9_23
  • Mančev, Dejan, and Branimir Todorović. 2015. “K-Best Max-Margin Approaches for Sequence Labeling.” Computer Science and Information Systems 12(2): 465–86.
  • Mančev, Dejan, and Branimir Todorović. 2014. “A Primal Sub-Gradient Method for Structured Classification with the Averaged Sum Loss.” International Journal of Applied Mathematics and Computer Science 24(4): 917–30.
  • Protić, Milan Z., Miomir B. Stanković, Dragan M. Mitić, and Branimir T. Todorović. 2012. “Application of Fractional Calculus in Ground Heat Flux Estimation.” Thermal Science 16(2): 373–84.
  • Ilić, Velimir M., Dejan I. Mančev, Branimir T. Todorović, and Miomir S. Stanković. 2012. “Gradient Computation in Linear-Chain Conditional Random Fields Using the Entropy Message Passing Algorithm.” Pattern Recognition Letters 33(13): 1776–84.
  • Mancev, Dejan, and Branimir Todorovic. 2012. “Confidence Based Learning of a Two-Model Committee for Sequence Labeling.” 11th Symposium on Neural Network Applications in Electrical Engineering,NEUREL 2012 - Proceedings: 167–70. https://www.researchgate.net/publication/261314036_Confidence_based_learning_of_a_two-model_committee_for_sequence_labeling
  • Ilić, Velimir M. et al. 2012. “Computation of Cross-Moments Using Message Passing over Factor Graphs.” Advances in Mathematics of Communications 6(3): 363–84. /en/article/doi/10.3934/amc.2012.6.363
  • Jankovic, Dragan, Tatjana Stankovic, and Branimir Todorovic. 2011. “Collaborative It Platform for Rare Diseases.” HEALTHINF 2011 - Proceedings of the International Conference on Health Informatics: 309–14.
  • Todorović, Branimir T., Svetozar R. Rančić, and Edin H. Mulalić. 2011. “Context Hidden Markov Model for Named Entity Recognition.” Springer Optimization and Its Applications 42: 447–60. https://link.springer.com/chapter/10.1007/978-1-4419-6594-3_30
  • Ilić, Velimir M., Miomir S. Stanković, and Branimir T. Todorović. 2011. “Entropy Message Passing.” IEEE Transactions on Information Theory 57(1): 375–80.
  • Marković, Ivica M., and Branimir T. Todorović. 2008. “Sequential Training of Support Vector Machine.” 9th Symposium on Neural Network Applications in Electrical Engineering, NEUREL 2008 Proceedings: 37–42. https://www.researchgate.net/publication/271500470_Sequential_training_of_Support_Vector_Machine
  • Todorović, Branimir T. et al. 2008. “Named Entity Recognition and Classification Using Context Hidden Markov Model.” 9th Symposium on Neural Network Applications in Electrical Engineering, NEUREL 2008 Proceedings: 43–46.
  • Džunić, Zoran, Svetislav Momčilović, Branimir Todorović, and Miomir Stanković. 2006. “Conference Resolution Using Decision Trees.” 8th Seminar on Neural Network Applications in Electrical Engineering, Neurel-2006 Proceedings: 109–14. https://www.researchgate.net/publication/261334514_Coreference_Resolution_Using_Decision_Trees
  • Todorovic, Branimir, Miomir Stankovic, and Claudio Moraga. 2006. “Gaussian Sum Filters for Recurrent Neural Networks Training.” 8th Seminar on Neural Network Applications in Electrical Engineering, Neurel-2006 Proceedings: 53–57.
  • Trajković, Slaviša, Branimir Todorović, and Miomir Stanković. 2005. “Closure to ‘Forecasting of Reference Evapotranspiration by Artificial Neural Networks’ by Slaviša Trajković, Branimir Todorović, and Miomir Stanković.” Journal of Irrigation and Drainage Engineering 131(4): 391–92. https://ascelibrary.org/doi/abs/10.1061/%28ASCE%290733-9437%282005%29131%3A4%28391%29
  • Trajković, Slaviša, Branimir Todorović, and Miomir Stanković. 2003. “Forecasting of Reference Evapotranspiration by Artificial Neural Networks.” Journal of Irrigation and Drainage Engineering 129(6): 454–57. https://ascelibrary.org/doi/abs/10.1061/%28ASCE%290733-9437%282003%29129%3A6%28454%29
  • Todorović, B., M. Stanković, and C. Moraga. 2003. “On-Line Learning in Recurrent Neural Networks Using Nonlinear Kalman Filters.” Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003: 802–5. https://www.researchgate.net/publication/224753092_On-line_Learning_in_Recurrent_Neural_Networks_Using_Nonlinear_Kalman_Filters
  • Stanković, M. S., B. T. Todorović, and B. M. Vidojković. 2002. “Reconstruction of Chaotic Dynamics Using Structurally Adaptive Radial Basis Function Networks.” 2002 6th Seminar on Neural Network Applications in Electrical Engineering, NEUREL 2002 - Proceedings: 33–36.
  • Todorović, Branimir, Miomir Stanković, and Claudio Moraga. 2002. “Extended Kalman Filter Trained Recurrent Radial Basis Function Network in Nonlinear System Identification.” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2415 LNCS: 819–24. https://link.springer.com/chapter/10.1007/3-540-46084-5_133
  • Todorović, B., M. Stanković, and C. Moraga. 2002. “Modeling Non-Stationary Dynamic System Using Recurrent Radial Basis Function Networks.” 2002 6th Seminar on Neural Network Applications in Electrical Engineering, NEUREL 2002 - Proceedings: 27–32.
  • Trajković, Slavisa, Miomir Stanković, and Branimir Todorović. 2000. “Estimation of FAO Blaney-Criddle b Factor by RBF Network.” Journal of Irrigation and Drainage Engineering 126(4): 268–70. https://ascelibrary.org/doi/abs/10.1061/%28ASCE%290733-9437%282000%29126%3A4%28268%29