| Counterfactual explanations for multivariate time series E Ates, B Aksar, VJ Leung, AK Coskun 2021 International Conference on Applied Artificial Intelligence (ICAPAI), 1-8, 2021 | 60 | 2021 |
| HPAS: An HPC performance anomaly suite for reproducing performance variations E Ates, Y Zhang, B Aksar, J Brandt, VJ Leung, M Egele, AK Coskun Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019 | 20 | 2019 |
| E2EWatch: an end-to-end anomaly diagnosis framework for production HPC systems B Aksar, B Schwaller, O Aaziz, VJ Leung, J Brandt, M Egele, AK Coskun Euro-Par 2021: Parallel Processing: 27th International Conference on …, 2021 | 10 | 2021 |
| Proctor: A semi-supervised performance anomaly diagnosis framework for production hpc systems B Aksar, Y Zhang, E Ates, B Schwaller, O Aaziz, VJ Leung, J Brandt, ... High Performance Computing: 36th International Conference, ISC High …, 2021 | 10 | 2021 |
| From Natural Language to Workflows: Towards Emergent Intelligence in Robotic Process Automation T Chakraborti, Y Rizk, V Isahagian, B Aksar, F Fuggitti International Conference on Business Process Management, 123-137, 2022 | 5 | 2022 |
| ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems B Aksar, E Sencan, B Schwaller, O Aaziz, VJ Leung, J Brandt, B Kulis, ... 2022 IEEE International Conference on Cluster Computing (CLUSTER), 369-380, 2022 | 3 | 2022 |
| Comte: counterfactual explanations for supervised machine learning frameworks on multivariate time series data VJ Leung, E Ates, B Aksar, AK Coskun Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | 1 | 2021 |
| Explainable Machine Learning Frameworks for Managing HPC Systems. E Ates, B Aksar, VJ Leung, AK Coskun Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 1 | 2020 |
| A Machine Learning Approach to Understanding HPC Application Performance Variation. B Schwaller, B Aksar, OR Aaziz, E Ates, JM Brandt, A Coskun, M Egele, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2019 | 1 | 2019 |
| AD for Machine Learning Approach to Understanding HPC Application Performance Variation Poster. B Aksar, B Schwaller, OR Aaziz, E Ates, JM Brandt, A Coskun, M Egele, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2019 | 1 | 2019 |
| Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems B Aksar, E Sencan, B Schwaller, O Aaziz, VJ Leung, J Brandt, B Kulis, ... Proceedings of the International Conference for High Performance Computing …, 2023 | | 2023 |
| Multi-agent chatbot with multi-intent recognition B Aksar, Y Rizk, T Chakraborti US Patent App. 17/662,484, 2023 | | 2023 |
| Towards Practical Machine Learning Frameworks for Performance Diagnostics in Supercomputers B Aksar, E Sencan, B Schwaller, VJ Leung, J Brandt, B Kulis, M Egele, ... Proceedings of the First Workshop on AI for Systems, 1-6, 2023 | | 2023 |
| Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation Y Zhang, B Aksar, O Aaziz, B Schwaller, J Brandt, V Leung, M Egele, ... 2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2021 | | 2021 |
| CoMTE: Counterfactual Explanations for Multivariate Time Series. E Ates, B Aksar, AK Coskun, VJ Leung Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
| Explainable Machine Learning Frameworks for Managing HPC Systems B Aksar, E Ates, VJ Leung, AK Coskun Workshop on Machine Learning for Computing Systems, Supercomputing'20, 2020 | | 2020 |
| Improving HPC Productivity Through Monitoring Analysis and Feedback. JM Brandt Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2019 | | 2019 |
| Abstract for Machine Learning Approach to Understanding HPC Application Performance Variation Poster. B Aksar, B Schwaller, O Aaziz, E Ates, J Brandt, A Coskun, M Egele, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | | 2019 |
| Machine Learning-based Performance Analytics in Computer Systems E Sencan, B Aksar, YC Lee, R Chen, AK Coskun | | |
Ayse K CoskunProfessor in ECE Department, Boston UniversityVerified email at bu.edu
