Chandranil Chakraborttii

According to our database, Chandranil Chakraborttii authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Generating Surprising Content in 2D Platform Games.

Chandranil Chakraborttii, Lucas Ferreira

Proceedings of the 19th International Conference on the Foundations of Digital Games, 2024

Improving Insurance Fraud Detection With Generated Data.

Kiet Ha, Lucas Stowe, Chandranil Chakraborttii

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

MemFlex: A Hybrid Memory System to Boost Cost of Ownership in Data Centers.

Chandranil Chakraborttii, Mohammad Maminur Islam

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

Characterizing player responses to surprising events in 2D platform games.

Chandranil Chakraborttii, Anya Osborne

Entertain. Comput., March, 2023

A Deep-Learning Approach to Marble-Burying Quantification: Image Segmentation of Marbles and Bedding.

Yicheng Zhu, Brandon Hudson, Chandranil Chakraborttii, Yun-Hsuan Su, Kevin Huang

Proceedings of the IEEE/SICE International Symposium on System Integration, 2023

Towards data generation to alleviate privacy concerns for cybersecurity applications.

Dhiraj Ganji, Chandranil Chakraborttii

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Leveraging Temporality of Data to Improve Failure Predictions for Solid State Drives in Data Centers.

Chandranil Chakraborttii, Jonas Boettner

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Enabling Multi-tenancy on SSDs with Accurate IO Interference Modeling.

Lokesh N. Jaliminche, Chandranil Nil Chakraborttii, Changho Choi, Heiner Litz

Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

2021

Improving Performance of Solid State Drives (SSDs) Using Machine Learning.

Chandranil Chakraborttii

PhD thesis, 2021

Reducing write amplification in flash by death-time prediction of logical block addresses.

Chandranil Chakraborttii, Heiner Litz

Proceedings of the SYSTOR '21: The 14th ACM International Systems and Storage Conference, 2021

2020

Learning I/O Access Patterns to Improve Prefetching in SSDs.

Chandranil Chakraborttii, Heiner Litz

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Improving the accuracy, adaptability, and interpretability of SSD failure prediction models.

Chandranil Chakraborttii, Heiner Litz

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2018

SSD QoS Improvements through Machine Learning.

Chandranil Chakraborttii, Vikas Sinha, Heiner Litz

Proceedings of the ACM Symposium on Cloud Computing, 2018

Talk to Me About Pong: On Using Conversational Interfaces for Mixed-Initiative Game Design.

Afshin Mobramaein, Jim Whitehead, Chandranil Chakraborttii

Proceedings of the 2018 AAAI Spring Symposia, 2018

2017

Towards generative emotions in games based on cognitive modeling.

Chandranil Chakraborttii, Lucas N. Ferreira, Jim Whitehead

Proceedings of the International Conference on the Foundations of Digital Games, 2017

2016

Design Lessons From Binary Fission: A Crowd Sourced Game for Precondition Discovery.

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

Proceedings of the First Joint International Conference of Digital Games Research Association and Foundation of Digital Games, 2016