Nikola Markovic

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Computer Architecture

Facility Location Problem

Machine Learning

Condition Monitoring

Top Venues

Publications

Mohammad Farhadmanesh, Abbas Rashidi, Abhishek Kumar Subedi, Nikola Markovic
A Computer Vision-Based Standalone System for Automated Operational Data Collection at Non-Towered Airports. IEEE Access 12 (2024)
Yinhu Wang, Ye Chen, Ilya O. Ryzhov, Xiaoyue Cathy Liu, Nikola Markovic
Resource Allocation in an Uncertain Environment: Application to Snowplowing Operations in Utah. Transp. Sci. 58 (4) (2024)
Amirhossein Cheraghi, Yinhu Wang, Nikola Markovic, Ge Ou
Efficient post-earthquake reconnaissance planning using adaptive batch-mode active learning. Adv. Eng. Informatics 60 (2024)
Nikola Markovic, Thomas Stoetzel, Volker Staudt, Dorothea Kolossa
Hybrid Condition Monitoring for Power Converters: Learning-Based Methods With Statistical Guarantees. IEEE Access 11 (2023)
Ali Raza, Nikola Markovic, Thomas Wolf, Pascal Romahn, Arndt-Hendrik Zinn, Dorothea Kolossa
Glass Container Fill Level Measurement via Vibration on a Low-Power Embedded System. COINS (2023)
Ye Chen, Nikola Markovic, Ilya O. Ryzhov, Paul M. Schonfeld
Data-Driven Robust Resource Allocation with Monotonic Cost Functions. Oper. Res. 70 (1) (2022)
Mohammad Farhadmanesh, Abbas Rashidi, Nikola Markovic
General Aviation Aircraft Identification at Non-Towered Airports Using a Two-Step Computer Vision-Based Approach. IEEE Access 10 (2022)
Nikola Markovic, Daniel Vahle, Volker Staudt, Dorothea Kolossa
Condition Monitoring for Power Converters via Deep One-Class Classification. ICMLA (2021)
Zhiyan Yi, Xiaoyue Cathy Liu, Nikola Markovic, Jeff M. Phillips
Inferencing hourly traffic volume using data-driven machine learning and graph theory. Comput. Environ. Urban Syst. 85 (2021)
Nikola Markovic, Thomas Stoetzel, Volker Staudt, Dorothea Kolossa
Hybrid Condition Monitoring for Power Electronic Systems. ICMLA (2019)
Nikola Markovic, Przemyslaw Sekula, Zachary Vander Laan, Gennady L. Andrienko, Natalia V. Andrienko
Applications of Trajectory Data From the Perspective of a Road Transportation Agency: Literature Review and Maryland Case Study. IEEE Trans. Intell. Transp. Syst. 20 (5) (2019)
Daniel Nemirovsky, Tugberk Arkose, Nikola Markovic, Mario Nemirovsky, Osman S. Unsal, Adrián Cristal, Mateo Valero
A General Guide to Applying Machine Learning to Computer Architecture. Supercomput. Front. Innov. 5 (1) (2018)
Daniel Nemirovsky, Tugberk Arkose, Nikola Markovic, Mario Nemirovsky, Osman S. Unsal, Adrián Cristal, Mateo Valero
A Deep Learning Mapper (DLM) for Scheduling on Heterogeneous Systems. CARLA (2017)
Daniel Nemirovsky, Tugberk Arkose, Nikola Markovic, Mario Nemirovsky, Osman S. Unsal, Adrián Cristal
A Machine Learning Approach for Performance Prediction and Scheduling on Heterogeneous CPUs. SBAC-PAD (2017)
Nikola Markovic, Przemyslaw Sekula, Zachary Vander Laan, Gennady L. Andrienko, Natalia V. Andrienko
Applications of Trajectory Data in Transportation: Literature Review and Maryland Case Study. CoRR (2017)
Nikola Markovic, Ilya O. Ryzhov, Paul M. Schonfeld
Evasive flow capture: A multi-period stochastic facility location problem with independent demand. Eur. J. Oper. Res. 257 (2) (2017)
Przemyslaw Sekula, Nikola Markovic, Zachary Vander Laan, Kaveh Farokhi Sadabadi
Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study. CoRR (2017)
Nikola Markovic, Ilya O. Ryzhov, Paul M. Schonfeld
Evasive flow capture: Optimal location of weigh-in-motion systems, tollbooths, and security checkpoints. Networks 65 (1) (2015)
Nikola Markovic, Daniel Nemirovsky, Osman S. Unsal, Mateo Valero, Adrián Cristal
Kernel-to-User-Mode Transition-Aware Hardware Scheduling. IEEE Micro 35 (4) (2015)
Nikola Markovic, Daniel Nemirovsky, Osman S. Ünsal, Mateo Valero, Adrián Cristal
Thread Lock Section-Aware Scheduling on Asymmetric Single-ISA Multi-Core. IEEE Comput. Archit. Lett. 14 (2) (2015)
Nikola Markovic, Daniel Nemirovsky, Osman S. Unsal, Mateo Valero, Adrián Cristal
Performance and Energy Efficient Hardware-Based Scheduler for Symmetric/Asymmetric CMPs. SBAC-PAD (2015)
Daniel Nemirovsky, Nikola Markovic, Osman S. Unsal, Mateo Valero, Adrián Cristal
Reimagining Heterogeneous Computing: A Functional Instruction-Set Architecture Computing Model. IEEE Micro 35 (5) (2015)
Nikola Markovic, Daniel Nemirovsky, Veljko Milutinovic, Osman S. Unsal, Mateo Valero, Adrián Cristal
Hardware Round-Robin Scheduler for Single-ISA Asymmetric Multi-core. Euro-Par (2015)