| A machine learning approach for performance prediction and scheduling on heterogeneous CPUs D Nemirovsky, T Arkose, N Markovic, M Nemirovsky, O Unsal, A Cristal 2017 29th International Symposium on Computer Architecture and High …, 2017 | 67 | 2017 |
| Inferencing hourly traffic volume using data-driven machine learning and graph theory Z Yi, XC Liu, N Markovic, J Phillips Computers, Environment and Urban Systems 85, 101548, 2021 | 56 | 2021 |
| Thread lock section-aware scheduling on asymmetric single-ISA multi-core N Markovic, D Nemirovsky, O Unsal, M Valero, A Cristal IEEE Computer Architecture Letters 14 (2), 160-163, 2014 | 20 | 2014 |
| A general guide to applying machine learning to computer architecture D Nemirovsky, T Arkose, N Markovic, M Nemirovsky, O Unsal, A Cristal, ... Supercomputing Frontiers and Innovations 5 (1), 95-115, 2018 | 17 | 2018 |
| Hybrid fault detection in power systems N Markovic, T Stoetzel, V Staudt, D Kolossa 2019 IEEE International Electric Machines & Drives Conference (IEMDC), 911-915, 2019 | 14 | 2019 |
| Hardware round-robin scheduler for single-isa asymmetric multi-core N Markovic, D Nemirovsky, V Milutinovic, O Unsal, M Valero, A Cristal Euro-Par 2015: Parallel Processing: 21st International Conference on …, 2015 | 13 | 2015 |
| Optimal allocation of truck inspection stations based on k-shortest paths N Besinovic, N Markovic, P Schonfeld Transportation Research Board 92nd Annual MeetingTransportation Research Board, 2013 | 10 | 2013 |
| A deep learning mapper (DLM) for scheduling on heterogeneous systems D Nemirovsky, T Arkose, N Markovic, M Nemirovsky, O Unsal, A Cristal, ... High Performance Computing: 4th Latin American Conference, CARLA 2017 …, 2018 | 9 | 2018 |
| Applications of trajectory data in transportation: literature review and Maryland case study N Markovic, P Sekula, Z Vander Laan, G Andrienko, N Andrienko arXiv preprint arXiv:1708.07193, 2017 | 6 | 2017 |
| Image Processing and Machine Learning Techniques for Automated Detection of Planes at Utah Airports M Farhadmanesh, A Rashidi, N Markovic Utah. Dept. of Transportation. Research Division, 2021 | 5 | 2021 |
| Hybrid condition monitoring for power electronic systems N Markovic, T Stoetzel, V Staudt, D Kolossa 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 5 | 2019 |
| Hardware thread scheduling algorithms for single-ISA asymmetric CMPs N Markovic Universitat Politècnica de Catalunya, 2015 | 5 | 2015 |
| Hybrid condition monitoring for power converters: learning-based methods with statistical guarantees N Markovic, T Stoetzel, V Staudt, D Kolossa IEEE Access 11, 31855-31865, 2023 | 4 | 2023 |
| Condition monitoring for power converters via deep one-class classification N Markovic, D Vahle, V Staudt, D Kolossa 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 4 | 2021 |
| Automated Safety Assessment of Rural Roadways Using Computer Vision AH Mashhadi, A Rashidi, N Markovic Utah. Dept. of Transportation. Research Division, 2023 | 3 | 2023 |
| Nonstationary Markov Chain Framework for Optimizing Dedicated Check-in Service N Markovic, Z Drobnjak, P Schonfeld Transportation Research Board 91st Annual MeetingTransportation Research Board, 2012 | 3 | 2012 |
| Estimating Construction Work Zones Capacity Using Deep Neural Network AH Mashhadi, N Markovic, A Rashidi Construction Research Congress 2022, 98-107, 2022 | 2 | 2022 |
| Optimizing dial-a-ride services in maryland N Markovic, R Nair, P Schonfeld, E Miller-Hooks, M Mohebbi Transportation Research Board 93rd Annual MeetingTransportation Research Board, 2014 | 2 | 2014 |
| Probabilistic versus Non-Probabilistic Machine Learning Approaches for Estimating the Severity of Crashes in Construction Work Zones A Hassandokht Mashhadi, P Mohammadi, A Rashidi, JC Medina, ... Construction Research Congress 2024, 445-454, 2024 | 1 | 2024 |
| Glass Container Fill Level Measurement via Vibration on a Low-Power Embedded System A Raza, N Markovic, T Wolf, P Romahn, AH Zinn, D Kolossa 2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS …, 2023 | 1 | 2023 |
