Mladen Nikolic

Orcid: 0000-0003-3105-7037

According to our database1, Mladen Nikolic authored at least 30 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Logit Scaling for Out-of-Distribution Detection.
CoRR, 2024

Engineering an Efficient Object Tracker for Non-Linear Motion.
CoRR, 2024

Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking.
CoRR, 2024

2023
Controlling highway toll stations using deep learning, queuing theory, and differential evolution.
Eng. Appl. Artif. Intell., March, 2023

Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks.
Appl. Soft Comput., January, 2023

Gaussian conditional random fields for classification.
Expert Syst. Appl., 2023

Incorporating LLM Priors into Tabular Learners.
CoRR, 2023

Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces.
CoRR, 2023

Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models.
CoRR, 2023

2022
MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning.
Neural Networks, 2022

FAIR: Fair adversarial instance re-weighting.
Neurocomputing, 2022

Intrinsically motivated option learning: a comparative study of recent methods.
CoRR, 2022

2021
Fair classification via Monte Carlo policy gradient method.
Eng. Appl. Artif. Intell., 2021

Neural Algorithmic Reasoners are Implicit Planners.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Random Forest Spatial Interpolation.
Remote. Sens., 2020

XLVIN: eXecuted Latent Value Iteration Nets.
CoRR, 2020

Hierachial Protein Function Prediction with Tails-GNNs.
CoRR, 2020

Chapter One - Teaching graduate students how to review research articles and respond to reviewer comments.
Adv. Comput., 2020

2019
MoËT: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees.
CoRR, 2019

Portfolio theorem proving and prover runtime prediction for geometry.
Ann. Math. Artif. Intell., 2019

2018
Sparse regression interaction models for spatial prediction of soil properties in 3D.
Comput. Geosci., 2018

2015
Short Portfolio Training for CSP Solving.
CoRR, 2015

2013
Software verification and graph similarity for automated evaluation of students' assignments.
Inf. Softw. Technol., 2013

Simple algorithm portfolio for SAT.
Artif. Intell. Rev., 2013

Mapping efficiency and information content.
Int. J. Appl. Earth Obs. Geoinformation, 2013

2012
Measuring similarity of graph nodes by neighbor matching.
Intell. Data Anal., 2012

CDCL-Based Abstract State Transition System for Coherent Logic.
Proceedings of the Intelligent Computer Mathematics - 11th International Conference, 2012

2010
Measuring Similarity of Graphs and their Nodes by Neighbor Matching
CoRR, 2010

Statistical Methodology for Comparison of SAT Solvers.
Proceedings of the Theory and Applications of Satisfiability Testing, 2010

2009
Instance-Based Selection of Policies for SAT Solvers.
Proceedings of the Theory and Applications of Satisfiability Testing, 2009


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