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ORCIDChandranil Chakraborttii
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Books and Theses
- 2021
[b1]Chandranil Chakraborttii:
Improving Performance of Solid State Drives (SSDs) Using Machine Learning. University of California, Santa Cruz, USA, 2021
Journal Articles
- 2023
- [j1]Chandranil Chakraborttii
, Anya Osborne:
Characterizing player responses to surprising events in 2D platform games. Entertain. Comput. 45: 100542 (2023)
Conference and Workshop Papers
- 2024
- [c14]Chandranil Chakraborttii, Mohammad Maminur Islam:
MemFlex: A Hybrid Memory System to Boost Cost of Ownership in Data Centers. COMPSAC 2024: 1693-1698 - [c13]Kiet Ha, Lucas Stowe, Chandranil Chakraborttii:
Improving Insurance Fraud Detection With Generated Data. COMPSAC 2024: 2008-2013 - [c12]Chandranil Chakraborttii, Lucas Ferreira:
Towards Generating Surprising Content in 2D Platform Games. FDG 2024: 71 - 2023
- [c11]Lokesh N. Jaliminche, Chandranil Nil Chakraborttii, Changho Choi, Heiner Litz:
Enabling Multi-tenancy on SSDs with Accurate IO Interference Modeling. SoCC 2023: 216-232 - [c10]Chandranil Chakraborttii, Jonas Boettner:
Leveraging Temporality of Data to Improve Failure Predictions for Solid State Drives in Data Centers. COMPSAC 2023: 1272-1278 - [c9]Dhiraj Ganji, Chandranil Chakraborttii:
Towards data generation to alleviate privacy concerns for cybersecurity applications. COMPSAC 2023: 1447-1452 - [c8]Yicheng Zhu, Brandon Hudson, Chandranil Chakraborttii, Yun-Hsuan Su, Kevin Huang:
A Deep-Learning Approach to Marble-Burying Quantification: Image Segmentation of Marbles and Bedding. SII 2023: 1-8 - 2021
- [c7]Chandranil Chakraborttii, Heiner Litz:
Reducing write amplification in flash by death-time prediction of logical block addresses. SYSTOR 2021: 11:1-11:12 - 2020
- [c6]Chandranil Chakraborttii, Heiner Litz:
Improving the accuracy, adaptability, and interpretability of SSD failure prediction models. SoCC 2020: 120-133 - [c5]Chandranil Chakraborttii, Heiner Litz:
Learning I/O Access Patterns to Improve Prefetching in SSDs. ECML/PKDD (4) 2020: 427-443 - 2018
- [c4]Afshin Mobramaein, Jim Whitehead, Chandranil Chakraborttii:
Talk to Me About Pong: On Using Conversational Interfaces for Mixed-Initiative Game Design. AAAI Spring Symposia 2018 - [c3]Chandranil Chakraborttii, Vikas Sinha, Heiner Litz:
SSD QoS Improvements through Machine Learning. SoCC 2018: 511 - 2017
- [c2]Chandranil Chakraborttii, Lucas N. Ferreira, Jim Whitehead:
Towards generative emotions in games based on cognitive modeling. FDG 2017: 79:1-79:2 - 2016
- [c1]Kate Compton, Heather Logas, Joseph C. Osborn, Chandranil Chakraborttii, Kelsey Coffman, Daniel Fava, Dylan Lederle-Ensign, Zhongpeng Lin, Jo Mazeika, Afshin Mobramaein, Johnathan Pagnutti, Huascar Sanchez, Jim Whitehead, Brenda Laurel:
Design Lessons From Binary Fission: A Crowd Sourced Game for Precondition Discovery. DiGRA/FDG 2016
Coauthor Index
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