Mladen Nikolić

  
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Journal papers

  1. Momir Adžemović, Predrag Tadić, Andrija Petrović, Mladen Nikolić, Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking, Machine Vision and Applications, 2025.
  2. Ðorđe Savić, Isidora Jankov, Weixiang Yu, Vincenzo Petrecca, Matthew Temple, Qingling Ni, Raphael Shirley, Anđelka Kovačević, Mladen Nikolić, Dragana Ilić, Luka Popović, Maurizio Paolillo, Swayamtrupta Panda, Aleksandra Ćiprijanović, Gordon Richards, The LSST AGN Data Challenge: Selection methods, Astrophysical Journal, 2023.
  3. Anđelka Kovačević, Dragana Ilić, Luka Popović, Nikola Andrić Mitrović, Mladen Nikolić, Marina Pavlović, Iva Čvorović-Hajdinjak, Miljan Knežević, Ðorđe Savić, Deep learning of quasar lightcurves in the LSST era, Universe, 2023.
  4. Andrija Petrović, Sandro Radovanović, Mladen Nikolić, Boris Delibašić, Miloš Jovanović, Structured Prediction of Sparse Dependent Variables for Traffic State Estimation in Large-Scale Networks, Applied Soft Computing, 2022.
  5. Andrija Petrović, Mladen Nikolić, Uglješa Bugarić, Boris Delibašić, Pietro Liò, Controlling Highway Toll Stations Using Deep Learning, Queuing Theory, and Differential Evolution, Engineering Applications of Artificial Intelligence, 2022.
  6. Andrija Petrović, Mladen Nikolić, Miloš Jovanović, Boris Delibašić, Gaussian Conditional Random Fields for Classification, Expert Systems with Applications, 2022.
  7. Marko Vasić, Andrija Petrović, Kaiyuan Wang, Mladen Nikolić, Rishabh Singh, Sarfraz Khurshid, MoET: Mixture of Expert Trees and its Application to Verifiable Reinforcement Learning, Neural Networks, 2022.
  8. Andrija Petrović, Mladen Nikolić, Sandro Radovanović Boris Delibašić, Miloš Jovanović, FAIR: Fair Adversarial Instance Re-Weighting, Neurocomputing, 2022.
  9. Andrija Petrović, Mladen Nikolić, Miloš Jovanović, Miloš Bijanić, Boris Delibašić, Fair Classification via Monte Carlo Policy Gradient Method, Engineering Applications of Artificial Intelligence, 2021.
  10. Marko Porčić, Mladen Nikolić, Jugoslav Pendić, Kristina Penezić, Tamara Blagojević, Sofija Stefanović, Expansion of the Neolithic in Southeastern Europe: Wave of Advance Fueled by High Fertility and Scalar Stress, Archaeological and Anthropological Sciences, 2021.
  11. Aleksandar Sekulić, Milan Kilibarda, Gerard Heuvelink, Mladen Nikolić, Branislav Bajat, Random Forest Spatial Interpolation, Remote Sensing, 2020.
  12. Dragan Lambić, Mladen Nikolić, New Pseudo-Random Number Generator Based on Improved Discrete-Space Chaotic Map, Filomat, 2019.
  13. Mladen Nikolić, Vesna Marinković, Zoltán Kovács, Predrag Janičić, Portfolio Theorem Proving and Prover Runtime Prediction for Geometry, Annals of Mathematics and Artificial Intelligence, 2018.
  14. Milutin Pejović, Mladen Nikolić, Gerard Huevelink, Tomislav Hengl, Milan Kilibarda, Branislav Bajat, Sparse Regression Interaction Models for Spatial Prediction of Soil Properties in 3D, Computers and Geosciences, 2018.
  15. Dragan Lambić, Mladen Nikolić, Pseudo-Random Number Generator Based on Discrete-Space Chaotic Map, Nonlinear Dynamics, 2017.
  16. Marko Porčić, Mladen Nikolić, The Approximate Bayesian Computation Approach to Reconstructing Population Dynamics and Size from Settlement Data: Demography of the Mesolithic-Neolithic Transition at Lepenski Vir, Archaeological and Anthropological Sciences, 2014.
  17. Milena Vujošević-Janičić, Mladen Nikolić, Dušan Tošić, Viktor Kunčak, Software Verification and Graph Similarity for Automated Evaluation of Students' Assignments, Information and Software Technology, 2013.
  18. Mladen Nikolić, Measuring Similarity of Graph Nodes by Neighbor Matching, Intelligent Data Analysis, 2013.
  19. Mladen Nikolić, Filip Marić, Predrag Janičić, Simple Algorithm Portfolio for SAT, Artificial Intelligence Review, 2013.
  20. Tomislav Hengl, Mladen Nikolić, Robert McMillan, Mapping Efficiency and Information Content, International Journal of Applied Earth Observation and Geoinformation, 2012.
 

Conference papers

  1. Max Zhu, Siniša Stanivuk, Andrija Petrović, Mladen Nikolić, Pietro Liò, Incorporating LLM Priors into Tabular Learners, NeurIPS Table Representation Learning Workshop, 2023.
  2. Mladen Nikolić, Some Applications of Graph-Based Machine Learning Methods on Biological Data, BelBi, 2023.
  3. Momir Adžemović, Mladen Nikolić, Predrag Tadić, Andrija Petrović, Deep Learning Based Motion Models for Signle Object Tracking, IcETRAN, 2023.
  4. Mladen Nikolić, Andrija Petrović, Fairness in Machine Learning: Why and How?, First Serbian International Conference on Applied Artificial Intelligence, 2022.
  5. Ðorđe Božić, Predrag Tadić, Mladen Nikolić, Intrinsically Motivated Option Learning: Comparative Study of Recent Methods, Telfor, 2021.
  6. Andrea Deac, Petar Veličković, Ognjen Milinković, Pierre-Luc Bacon, Jian Tang, Mladen Nikolić, Neural Algorithmic Reasoners are Implicit Planners, NeurIPS, 2021.
  7. Andrea Deac, Petar Veličković, Ognjen Milinković, Pierre-Luc Bacon, Jian Tang, Mladen Nikolić, XLVIN: eXecuted Latent Value Iteration Nets, NeurIPS Deep Reinforcement Learning Workshop, 2020.
  8. Stefan Spalević, Petar Veličković, Jovana Kovačević, Mladen Nikolić, Hierarchical Protein Function Prediction with Tail-GNNs, ICML Workshop on Graph Representation Learning and Beyond, 2020.
  9. Aleksandar Sekulić, Milan Kilibarda, Gerard Heuvelink, Mladen Nikolić, Branislav Bajat, Spatial Interpolation of Daily Percipitation Using Random Forest, European Geosciences Union General Assembly, 2020.
  10. Milutin Pejović, Mladen Nikolić, Branislav Bajat, 3D Soil Texture Mapping with L1 Regularized Multinomial Logistic Regression, 19th Annual Conference of International Association for Mathematical Geosciences (IAMG), 2018.
  11. Vesna Marniković, Mladen Nikolić, Zoltan Kovacs, Predrag Janičić, Portfolio Methods in Theorem Proving for Elementary Geometry, Automated Deduction in Geometry, 2016.
  12. Miloš Manić, Mladen Nikolić, Feature Extraction for Rasters Using Autoencoders, Geostatistics and Machine Learning Conference, 2016.
  13. Jelena Slivka, Mladen Nikolić, Kosta Ristovski, Vladan Radosavljević, Zoran Obradović, Distributed Gaussian Conditional Random Fields Based Regression for Large Evolving Graphs, SIAM International Conference on Data Mining, Workshop on Mining Networks and Graphs, 2014.
  14. Mladen Nikolić, Predrag Janičić, CDCL-based Abstract State Transition System for Coherent Logic, Calculemus (CICM), LNAI 7362, 2012.
  15. Mladen Nikolić, Statistical Methodology for Comparison of SAT Solvers, Thirteenth International Conference on Theory and Applications of Satisfiability Testing (SAT 2010), LNCS 6175, Springer, 2010.
  16. Mladen Nikolić, Filip Marić, Predrag Janičić, Instance-Based Selection of Policies for SAT Solvers, Twelfth International Conference on Theory and Applications of Satisfiability Testing (SAT 2009), LNCS 5584, Springer, 2009.
 

Book chapters

  1. Marko Porčić, Mladen Nikolić, Population Size and Dynamics at Belovode and Pločnik, Chapter 40 in M. Radivojević, B. W. Roberts, M. Marić, J. Kuzmanović Cvetković, T. Rehren (Eds.), The Rise of Metallurgy in Eurasia: Evolution, Organisation and Consumption of Early Metal in the Balkans. Oxford: Archaeopress, 2021.