Nikola Markovic

Orcid: 0000-0002-9175-8516

According to our database1, Nikola Markovic authored at least 25 papers between 2015 and 2024.

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Bibliography

2024
Resource Allocation in an Uncertain Environment: Application to Snowplowing Operations in Utah.
Transp. Sci., 2024

Efficient post-earthquake reconnaissance planning using adaptive batch-mode active learning.
Adv. Eng. Informatics, 2024

A Computer Vision-Based Standalone System for Automated Operational Data Collection at Non-Towered Airports.
IEEE Access, 2024

Reliable Fill-Level Monitoring of Recycling Glass Containers.
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.
IEEE Access, 2023

Glass Container Fill Level Measurement via Vibration on a Low-Power Embedded System.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2023

2022
Data-Driven Robust Resource Allocation with Monotonic Cost Functions.
Oper. Res., 2022

General Aviation Aircraft Identification at Non-Towered Airports Using a Two-Step Computer Vision-Based Approach.
IEEE Access, 2022

2021
Inferencing hourly traffic volume using data-driven machine learning and graph theory.
Comput. Environ. Urban Syst., 2021

Condition Monitoring for Power Converters via Deep One-Class Classification.
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.
IEEE Trans. Intell. Transp. Syst., 2019

Hybrid Condition Monitoring for Power Electronic Systems.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
A General Guide to Applying Machine Learning to Computer Architecture.
Supercomput. Front. Innov., 2018

2017
Evasive flow capture: A multi-period stochastic facility location problem with independent demand.
Eur. J. Oper. Res., 2017

Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study.
CoRR, 2017

Applications of Trajectory Data in Transportation: Literature Review and Maryland Case Study.
CoRR, 2017

A Machine Learning Approach for Performance Prediction and Scheduling on Heterogeneous CPUs.
Proceedings of the 29th International Symposium on Computer Architecture and High Performance Computing, 2017

A Deep Learning Mapper (DLM) for Scheduling on Heterogeneous Systems.
Proceedings of the High Performance Computing - 4th Latin American Conference, 2017

2015
Hardware thread scheduling algorithms for single-ISA asymmetric CMPs.
PhD thesis, 2015

Evasive flow capture: Optimal location of weigh-in-motion systems, tollbooths, and security checkpoints.
Networks, 2015

Reimagining Heterogeneous Computing: A Functional Instruction-Set Architecture Computing Model.
IEEE Micro, 2015

Kernel-to-User-Mode Transition-Aware Hardware Scheduling.
IEEE Micro, 2015

Thread Lock Section-Aware Scheduling on Asymmetric Single-ISA Multi-Core.
IEEE Comput. Archit. Lett., 2015

Performance and Energy Efficient Hardware-Based Scheduler for Symmetric/Asymmetric CMPs.
Proceedings of the 27th International Symposium on Computer Architecture and High Performance Computing, 2015

Hardware Round-Robin Scheduler for Single-ISA Asymmetric Multi-core.
Proceedings of the Euro-Par 2015: Parallel Processing, 2015


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