| Learning I/O Access Patterns to Improve Prefetching in SSDs C Chakraborttii, H Litz The European Conference on Machine Learning and Principles and Practice of …, 2020 | 25 | 2020 |
| Improving the accuracy, adaptability, and interpretability of SSD failure prediction models C Chakraborttii, H Litz Proceedings of the 11th ACM Symposium on Cloud Computing, 120-133, 2020 | 20 | 2020 |
| Reducing write amplification in flash by death-time prediction of logical block addresses C Chakraborttii, H Litz Proceedings of the 14th ACM International Conference on Systems and Storage …, 2021 | 17 | 2021 |
| Ssd qos improvements through machine learning C Chakraborttii, V Sinha, H Litz Proceedings of the ACM Symposium on Cloud Computing, 511-511, 2018 | 9 | 2018 |
| Design Lessons From Binary Fission: A Crowd Sourced Game for Precondition Discovery. K Compton, H Logas, JC Osborn, C Chakrabortti, K Coffman, D Fava, ... DiGRA/FDG, 2016 | 5 | 2016 |
| Full-bridge converter with naturally balanced modular cascaded H-bridge waveshapers for offshore HVDC transmission SK Chattopadhyay, C Chakraborty IEEE Transactions on Sustainable Energy 11 (1), 271-281, 2019 | 4 | 2019 |
| Talk to me about pong: On using conversational interfaces for Mixed-Initiative game design A Mobramaein, J Whitehead, C Chakraborttii 2018 AAAI Spring Symposium Series, 2018 | 4 | 2018 |
| The application of genetic algorithm for unsupervised classification of ECG RJ Martis, H Prasad, C Chakraborty, AK Ray Machine Learning in Healthcare Informatics, 65-80, 2014 | 4 | 2014 |
| Towards generative emotions in games based on cognitive modeling C Chakraborttii, LN Ferreira, J Whitehead Proceedings of the 12th International Conference on the Foundations of …, 2017 | 3 | 2017 |
| Asymmetrical cascaded multilevel inverter with single DC source using high frequency resonant converter P Jana, S Chattopadhyay, P Bajpai, C Chakraborty 2016 IEEE Students’ Technology Symposium (TechSym), 73-78, 2016 | 3 | 2016 |
| Explaining SSD Failures using Anomaly Detection C Chakraborttii, H Litz 12TH ANNUAL NON-VOLATILE MEMORIES WORKSHOP, 2021 | 2 | 2021 |
| Improving Performance of Solid State Drives Using Machine Learning C Chakraborttii University of California, Santa Cruz, 2021 | 2 | 2021 |
| Design Lessons From Binary Fission: A Crowd Sourced Game for Precondition Discovery JP Mobramaein, H Sanchez, J Whitehead, B Laurel | 1 | 2016 |
| Performance Evaluation of NoSQL Systems Using Yahoo Cloud Serving Benchmarking Tool C Chakraborttii Feb, 2015 | 1 | 2015 |
| Towards data generation to alleviate privacy concerns for cybersecurity applications D Ganji, C Chakraborttii The 1st IEEE International Workshop on Data Science & Machine Learning for …, 2023 | | 2023 |
| Leveraging Temporality of Data to Improve Failure Predictions for Solid State Drives in Data Centers C Chakraborttii, J Boettner 2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023 | | 2023 |
| Characterizing player responses to surprising events in 2D platform games C Chakraborttii, A Osborne Entertainment Computing 45, 100542, 2023 | | 2023 |
| A Deep-Learning Approach to Marble-Burying Quantification: Image Segmentation of Marbles and Bedding Y Zhu, B Hudson, C Chakraborttii, YH Su, K Huang 2023 IEEE/SICE International Symposium on System Integration (SII), 1-8, 2023 | | 2023 |
| Method for accelerating image storing and retrieving differential latency storage devices based on access rates SP Olarig, WD Schwaderer, C Chakraborttii US Patent App. 17/891,128, 2022 | | 2022 |
| In-storage-based data processing using machine learning SP Olarig, C Chakraborttii, M Sharma, P Krishnamoorthy US Patent 11,443,142, 2022 | | 2022 |
Heiner LitzUniversity of California Santa CruzVerified email at ucsc.edu
