Instance-Based Selection of Policies for SAT Solvers. - Mladen Nikolic; Filip Maric; Predrag Janicic (SAT, 2009)

Statistical Methodology for Comparison of SAT Solvers. - Mladen Nikolic (SAT, 2010)

Measuring Similarity of Graphs and their Nodes by Neighbor Matching - Mladen Nikolic (CoRR, 2010)

CDCL-Based Abstract State Transition System for Coherent Logic. - Mladen Nikolic; Predrag Janicic (AISC/MKM/Calculemus, 2012)

Measuring similarity of graph nodes by neighbor matching. - Mladen Nikolic (Intell. Data Anal., 2012)

Mapping efficiency and information content. - Tomislav Hengl; Mladen Nikolic; R. A. MacMillan (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Simple algorithm portfolio for SAT. - Mladen Nikolic; Filip Maric; Predrag Janicic (Artif. Intell. Rev., 2013)

Software verification and graph similarity for automated evaluation of students' assignments. - Milena Vujosevic-Janicic; Mladen Nikolic; Dusan Tosic; Viktor Kuncak (Inf. Softw. Technol., 2013)

Short Portfolio Training for CSP Solving. - Mirko Stojadinovic; Mladen Nikolic; Filip Maric (CoRR, 2015)

Sparse regression interaction models for spatial prediction of soil properties in 3D. - Milutin Pejovic; Mladen Nikolic; Gerard B. M. Heuvelink; Tomislav Hengl; Milan Kilibarda; Branislav Bajat (Comput. Geosci., 2018)

Portfolio theorem proving and prover runtime prediction for geometry. - Mladen Nikolic; Vesna Marinkovic; Zoltán Kovács; Predrag Janicic (Ann. Math. Artif. Intell., 2019)

MoËT: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees. - Marko Vasic; Andrija Petrovic; Kaiyuan Wang; Mladen Nikolic; Rishabh Singh; Sarfraz Khurshid (CoRR, 2019)

Chapter One - Teaching graduate students how to review research articles and respond to reviewer comments. - Milan Bankovic; Vladimir Filipovic; Jelena Graovac; Jelena Hadzi-Puric; Ali R. Hurson; Aleksandar Kartelj; Jovana J. Kovacevic; Nenad Korolija; Milos Kotlar; Nenad B. Krdzavac; Filip Maric; Sasa N. Malkov; et al. (Adv. Comput., 2020)

Hierachial Protein Function Prediction with Tails-GNNs. - Stefan Spalevic; Petar Velickovic; Jovana J. Kovacevic; Mladen Nikolic (CoRR, 2020)

XLVIN: eXecuted Latent Value Iteration Nets. - Andreea Deac; Petar Velickovic; Ognjen Milinkovic; Pierre-Luc Bacon; Jian Tang 005; Mladen Nikolic (CoRR, 2020)

Random Forest Spatial Interpolation. - Aleksandar Sekulic; Milan Kilibarda; Gerard B. M. Heuvelink; Mladen Nikolic; Branislav Bajat (Remote. Sens., 2020)

Neural Algorithmic Reasoners are Implicit Planners. - Andreea Deac; Petar Velickovic; Ognjen Milinkovic; Pierre-Luc Bacon; Jian Tang 005; Mladen Nikolic (NeurIPS, 2021)

Fair classification via Monte Carlo policy gradient method. - Andrija Petrovic; Mladen Nikolic; Milos Jovanovic 002; Milos Bijanic; Boris Delibasic (Eng. Appl. Artif. Intell., 2021)

Intrinsically motivated option learning: a comparative study of recent methods. - Djordje Bozic; Predrag Tadic; Mladen Nikolic (CoRR, 2022)

FAIR: Fair adversarial instance re-weighting. - Andrija Petrovic; Mladen Nikolic; Sandro Radovanovic; Boris Delibasic; Milos Jovanovic 002 (Neurocomputing, 2022)

MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning. - Marko Vasic; Andrija Petrovic; Kaiyuan Wang; Mladen Nikolic; Rishabh Singh; Sarfraz Khurshid (Neural Networks, 2022)

Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models. - Aleksa Bisercic; Mladen Nikolic; Mihaela van der Schaar; Boris Delibasic; Pietro Liò; Andrija Petrovic (CoRR, 2023)

Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces. - Max Zhu; Katarzyna Kobalczyk; Andrija Petrovic; Mladen Nikolic; Mihaela van der Schaar; Boris Delibasic; Petro Liò (CoRR, 2023)

Incorporating LLM Priors into Tabular Learners. - Max Zhu; Sinisa Stanivuk; Andrija Petrovic; Mladen Nikolic; Pietro Lio (CoRR, 2023)

Gaussian conditional random fields for classification. - Andrija Petrovic; Mladen Nikolic; Milos Jovanovic 002; Boris Delibasic (Expert Syst. Appl., 2023)

Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks. - Andrija Petrovic; Sandro Radovanovic; Mladen Nikolic; Boris Delibasic; Milos Jovanovic 002 (Appl. Soft Comput., 2023)

Controlling highway toll stations using deep learning, queuing theory, and differential evolution. - Andrija Petrovic; Mladen Nikolic; Ugljesa Bugaric; Boris Delibasic; Pietro Liò (Eng. Appl. Artif. Intell., 2023)

Engineering an Efficient Object Tracker for Non-Linear Motion. - Momir Adzemovic; Predrag Tadic; Andrija Petrovic; Mladen Nikolic (CoRR, 2024)

Beyond Kalman filters: deep learning-based filters for improved object tracking. - Momir Adzemovic; Predrag Tadic; Andrija Petrovic; Mladen Nikolic (Mach. Vis. Appl., 2025)

Logit scaling for out-of-distribution detection. - Andrija Djurisic; Rosanne Liu; Mladen Nikolic (Mach. Vis. Appl., 2025)