Nikola Markovic

According to our database, Nikola Markovic authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Resource Allocation in an Uncertain Environment: Application to Snowplowing Operations in Utah.

Yinhu Wang, Ye Chen, Ilya O. Ryzhov, Xiaoyue Cathy Liu, Nikola Markovic

Transp. Sci., 2024

Efficient post-earthquake reconnaissance planning using adaptive batch-mode active learning.

Amirhossein Cheraghi, Yinhu Wang, Nikola Markovic, Ge Ou

Adv. Eng. Informatics, 2024

A Computer Vision-Based Standalone System for Automated Operational Data Collection at Non-Towered Airports.

Mohammad Farhadmanesh, Abbas Rashidi, Abhishek Kumar Subedi, Nikola Markovic

IEEE Access, 2024

Reliable Fill-Level Monitoring of Recycling Glass Containers.

Nikola Markovic, Ali Raza, Steffen Zeiler, Thomas Wolf, Pascal Romahn, Arndt-Hendrik Zinn, Dorothea Kolossa

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024

2023

Hybrid Condition Monitoring for Power Converters: Learning-Based Methods With Statistical Guarantees.

Nikola Markovic, Thomas Stoetzel, Volker Staudt, Dorothea Kolossa

IEEE Access, 2023

Glass Container Fill Level Measurement via Vibration on a Low-Power Embedded System.

Ali Raza, Nikola Markovic, Thomas Wolf, Pascal Romahn, Arndt-Hendrik Zinn, Dorothea Kolossa

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2023

2022

Data-Driven Robust Resource Allocation with Monotonic Cost Functions.

Ye Chen, Nikola Markovic, Ilya O. Ryzhov, Paul M. Schonfeld

Oper. Res., 2022

General Aviation Aircraft Identification at Non-Towered Airports Using a Two-Step Computer Vision-Based Approach.

Mohammad Farhadmanesh, Abbas Rashidi, Nikola Markovic

IEEE Access, 2022

2021

Inferencing hourly traffic volume using data-driven machine learning and graph theory.

Zhiyan Yi, Xiaoyue Cathy Liu, Nikola Markovic, Jeff M. Phillips

Comput. Environ. Urban Syst., 2021

Condition Monitoring for Power Converters via Deep One-Class Classification.

Nikola Markovic, Daniel Vahle, Volker Staudt, Dorothea Kolossa

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2019

Applications of Trajectory Data From the Perspective of a Road Transportation Agency: Literature Review and Maryland Case Study.

Nikola Markovic, Przemyslaw Sekula, Zachary Vander Laan, Gennady L. Andrienko, Natalia V. Andrienko

IEEE Trans. Intell. Transp. Syst., 2019

Hybrid Condition Monitoring for Power Electronic Systems.

Nikola Markovic, Thomas Stoetzel, Volker Staudt, Dorothea Kolossa

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

A General Guide to Applying Machine Learning to Computer Architecture.

Daniel Nemirovsky, Tugberk Arkose, Nikola Markovic, Mario Nemirovsky, Osman S. Unsal, Adrián Cristal, Mateo Valero

Supercomput. Front. Innov., 2018

2017

Evasive flow capture: A multi-period stochastic facility location problem with independent demand.

Nikola Markovic, Ilya O. Ryzhov, Paul M. Schonfeld

Eur. J. Oper. Res., 2017

Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study.

Przemyslaw Sekula, Nikola Markovic, Zachary Vander Laan, Kaveh Farokhi Sadabadi

CoRR, 2017

Applications of Trajectory Data in Transportation: Literature Review and Maryland Case Study.

Nikola Markovic, Przemyslaw Sekula, Zachary Vander Laan, Gennady L. Andrienko, Natalia V. Andrienko

CoRR, 2017

A Machine Learning Approach for Performance Prediction and Scheduling on Heterogeneous CPUs.

Daniel Nemirovsky, Tugberk Arkose, Nikola Markovic, Mario Nemirovsky, Osman S. Unsal, Adrián Cristal

Proceedings of the 29th International Symposium on Computer Architecture and High Performance Computing, 2017

A Deep Learning Mapper (DLM) for Scheduling on Heterogeneous Systems.

Daniel Nemirovsky, Tugberk Arkose, Nikola Markovic, Mario Nemirovsky, Osman S. Unsal, Adrián Cristal, Mateo Valero

Proceedings of the High Performance Computing - 4th Latin American Conference, 2017

2015

Hardware thread scheduling algorithms for single-ISA asymmetric CMPs.

Nikola Markovic

PhD thesis, 2015

Evasive flow capture: Optimal location of weigh-in-motion systems, tollbooths, and security checkpoints.

Nikola Markovic, Ilya O. Ryzhov, Paul M. Schonfeld

Networks, 2015

Reimagining Heterogeneous Computing: A Functional Instruction-Set Architecture Computing Model.

Daniel Nemirovsky, Nikola Markovic, Osman S. Unsal, Mateo Valero, Adrián Cristal

IEEE Micro, 2015

Kernel-to-User-Mode Transition-Aware Hardware Scheduling.

Nikola Markovic, Daniel Nemirovsky, Osman S. Unsal, Mateo Valero, Adrián Cristal

IEEE Micro, 2015

Thread Lock Section-Aware Scheduling on Asymmetric Single-ISA Multi-Core.

Nikola Markovic, Daniel Nemirovsky, Osman S. Ünsal, Mateo Valero, Adrián Cristal

IEEE Comput. Archit. Lett., 2015

Performance and Energy Efficient Hardware-Based Scheduler for Symmetric/Asymmetric CMPs.

Nikola Markovic, Daniel Nemirovsky, Osman S. Unsal, Mateo Valero, Adrián Cristal

Proceedings of the 27th International Symposium on Computer Architecture and High Performance Computing, 2015

Hardware Round-Robin Scheduler for Single-ISA Asymmetric Multi-core.

Nikola Markovic, Daniel Nemirovsky, Veljko Milutinovic, Osman S. Unsal, Mateo Valero, Adrián Cristal

Proceedings of the Euro-Par 2015: Parallel Processing, 2015