Mladen Nikolic

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 23

Top Topics

Data Extraction

Reinforcement Learning

Protein Function

Top Venues

Eng. Appl. Artif. Intell.

Ann. Math. Artif. Intell.

Publications

Momir Adzemovic, Predrag Tadic, Andrija Petrovic, Mladen Nikolic
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking. CoRR (2024)
Momir Adzemovic, Predrag Tadic, Andrija Petrovic, Mladen Nikolic
Engineering an Efficient Object Tracker for Non-Linear Motion. CoRR (2024)
Andrija Petrovic, Sandro Radovanovic, Mladen Nikolic, Boris Delibasic, Milos Jovanovic
Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks. Appl. Soft Comput. 133 (2023)
Aleksa Bisercic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Pietro Liò, Andrija Petrovic
Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models. CoRR (2023)
Max Zhu, Katarzyna Kobalczyk, Andrija Petrovic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Petro Liò
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces. CoRR (2023)
Max Zhu, Sinisa Stanivuk, Andrija Petrovic, Mladen Nikolic, Pietro Lio
Incorporating LLM Priors into Tabular Learners. CoRR (2023)
Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Boris Delibasic
Gaussian conditional random fields for classification. Expert Syst. Appl. 212 (2023)
Andrija Petrovic, Mladen Nikolic, Ugljesa Bugaric, Boris Delibasic, Pietro Liò
Controlling highway toll stations using deep learning, queuing theory, and differential evolution. Eng. Appl. Artif. Intell. 119 (2023)
Djordje Bozic, Predrag Tadic, Mladen Nikolic
Intrinsically motivated option learning: a comparative study of recent methods. CoRR (2022)
Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid
MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning. Neural Networks 151 (2022)
Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic
FAIR: Fair adversarial instance re-weighting. Neurocomputing 476 (2022)
Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
Neural Algorithmic Reasoners are Implicit Planners. CoRR (2021)
Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
Neural Algorithmic Reasoners are Implicit Planners. NeurIPS (2021)
Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Milos Bijanic, Boris Delibasic
Fair classification via Monte Carlo policy gradient method. Eng. Appl. Artif. Intell. 104 (2021)
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, Veljko Milutinovic, Nenad S. Mitic, Stefan Miskovic, Mladen Nikolic, Gordana Pavlovic-Lazetic, Danijela Simic, Miodrag V. Zivkovic
Chapter One - Teaching graduate students how to review research articles and respond to reviewer comments. Adv. Comput. 116 (2020)
Aleksandar Sekulic, Milan Kilibarda, Gerard B. M. Heuvelink, Mladen Nikolic, Branislav Bajat
Random Forest Spatial Interpolation. Remote. Sens. 12 (10) (2020)
Stefan Spalevic, Petar Velickovic, Jovana J. Kovacevic, Mladen Nikolic
Hierachial Protein Function Prediction with Tails-GNNs. CoRR (2020)
Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
XLVIN: eXecuted Latent Value Iteration Nets. CoRR (2020)
Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic
FAIR: Fair Adversarial Instance Re-weighting. CoRR (2020)
Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Boris Delibasic
Gaussian Conditional Random Fields for Classification. CoRR (2019)
Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid
MoËT: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees. CoRR (2019)
Mladen Nikolic, Vesna Marinkovic, Zoltán Kovács, Predrag Janicic
Portfolio theorem proving and prover runtime prediction for geometry. Ann. Math. Artif. Intell. 85 (2-4) (2019)
Milutin Pejovic, Mladen Nikolic, Gerard B. M. Heuvelink, Tomislav Hengl, Milan Kilibarda, Branislav Bajat
Sparse regression interaction models for spatial prediction of soil properties in 3D. Comput. Geosci. 118 (2018)
Mirko Stojadinovic, Mladen Nikolic, Filip Maric
Short Portfolio Training for CSP Solving. CoRR (2015)
Tomislav Hengl, Mladen Nikolic, R. A. MacMillan
Mapping efficiency and information content. Int. J. Appl. Earth Obs. Geoinformation 22 (2013)
Milena Vujosevic-Janicic, Mladen Nikolic, Dusan Tosic, Viktor Kuncak
Software verification and graph similarity for automated evaluation of students' assignments. Inf. Softw. Technol. 55 (6) (2013)
Mladen Nikolic, Filip Maric, Predrag Janicic
Simple algorithm portfolio for SAT. Artif. Intell. Rev. 40 (4) (2013)
Mladen Nikolic, Predrag Janicic
CDCL-Based Abstract State Transition System for Coherent Logic. AISC/MKM/Calculemus (2012)
Milena Vujosevic-Janicic, Mladen Nikolic, Dusan Tosic, Viktor Kuncak
Software Verification and Graph Similarity for Automated Evaluation of Students' Assignments. CoRR (2012)
Mladen Nikolic
Measuring similarity of graph nodes by neighbor matching. Intell. Data Anal. 16 (6) (2012)
Mladen Nikolic, Filip Maric, Predrag Janicic
Simple Algorithm Portfolio for SAT CoRR (2011)
Mladen Nikolic
Statistical Methodology for Comparison of SAT Solvers. SAT (2010)
Mladen Nikolic
Measuring Similarity of Graphs and their Nodes by Neighbor Matching CoRR (2010)
Mladen Nikolic
Statistical Methodology for Comparison of SAT Solvers. EMSQMS@IJCAR (2010)
Mladen Nikolic, Filip Maric, Predrag Janicic
Instance-Based Selection of Policies for SAT Solvers. SAT (2009)