Milosevic Djuradj D,Mancev Dejan I,Cerba Dubravka,Stojkovic-Piperac Milica,Popovic Natasa Z,Atanackovic Ana D,Djuknic Jelena A,Simic Vladica M,Paunovic Momir M (2018) The potential of chironomid larvae-based metrics in the bioassessment of non-wadeable rivers, SCIENCE OF THE TOTAL ENVIRONMENT, vol. 616, br. , str. 472-479 (Article) 

Milosevic Djuradj D,Stojkovic-Piperac Milica,Petrovic Ana SL,Cerba Dubravka,Mancev Dejan I,Paunovic Momir M,Simic Vladica M (2017) Community concordance in lotic ecosystems: How to establish unbiased congruence between macroinvertebrate and fish communities, ECOLOGICAL INDICATORS, vol. 83, br. , str. 474-481 (Article) 

Mancev Dejan I,Todorovic Branimir T (2015) k-Best Max-margin Approaches for Sequence Labeling, COMPUTER SCIENCE AND INFORMATION SYSTEMS, vol. 12, br. 2, str. 465-486 (Article) 

Mancev Dejan I,Todorovic Branimir T (2014) A Primal Sub-Gradient Method for Structured Classification with the Averaged Sum Loss, INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, vol. 24, br. 4, str. 917-930 (Article) 

Milosevic Djuradj D,Simic Vladica M,Stojkovic Milica,Cerba Dubravka,Mancev Dejan I,Petrovic Ana SL,Paunovic Momir M (2013) Spatio-temporal pattern of the Chironomidae community: toward the use of non-biting midges in bioassessment programs, AQUATIC ECOLOGY, vol. 47, br. 1, str. 37-55 (Article) 

Stojkovic Milica,Simic Vladica M,Milosevic Djuradj D,Mancev Dejan I,Penczak Tadeusz (2013) Visualization of fish community distribution patterns using the self-organizing map: A case study of the Great Morava River system (Serbia), ECOLOGICAL MODELLING, vol. 248, br. , str. 20-29 (Article) 

Mancev Dejan I,Todorovic Branimir T (2012) Confidence Based Learning of a Two-Model Committee for Sequence Labeling, ELEVENTH SYMPOSIUM ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING (NEUREL 2012), vol. , br. , str. - (Proceedings Paper) 

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