Joymallya Chakraborty

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Confidence Estimates

Software Defect

Unlabelled Data

Supervised Learning

Top Venues

ESEC/SIGSOFT FSE

ACM Trans. Softw. Eng. Methodol.

Publications

Suvodeep Majumder, Joymallya Chakraborty, Tim Menzies
When less is more: on the value of "co-training" for semi-supervised software defect predictors. Empir. Softw. Eng. 29 (2) (2024)
Kewen Peng, Joymallya Chakraborty, Tim Menzies
FairMask: Better Fairness via Model-Based Rebalancing of Protected Attributes. IEEE Trans. Software Eng. 49 (4) (2023)
Suvodeep Majumder, Joymallya Chakraborty, Gina R. Bai, Kathryn T. Stolee, Tim Menzies
Fair Enough: Searching for Sufficient Measures of Fairness. ACM Trans. Softw. Eng. Methodol. 32 (6) (2023)
Suvodeep Majumder, Joymallya Chakraborty, Tim Menzies
When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors. CoRR (2022)
Joymallya Chakraborty, Suvodeep Majumder, Huy Tu
Fair-SSL: Building fair ML Software with less data. FairWare@ICSE (2022)
Joymallya Chakraborty, Huy Tu, Suvodeep Majumder, Tim Menzies
Can We Achieve Fairness Using Semi-Supervised Learning? CoRR (2021)
Kewen Peng, Joymallya Chakraborty, Tim Menzies
xFAIR: Better Fairness via Model-based Rebalancing of Protected Attributes. CoRR (2021)
Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies
Bias in Machine Learning Software: Why? How? What to do? CoRR (2021)
Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies
Bias in machine learning software: why? how? what to do? ESEC/SIGSOFT FSE (2021)
Suvodeep Majumder, Joymallya Chakraborty, Gina R. Bai, Kathryn T. Stolee, Tim Menzies
Fair Enough: Searching for Sufficient Measures of Fairness. CoRR (2021)
Joymallya Chakraborty, Suvodeep Majumder, Zhe Yu, Tim Menzies
Fairway: a way to build fair ML software. ESEC/SIGSOFT FSE (2020)
Joymallya Chakraborty, Suvodeep Majumder, Zhe Wu, Tim Menzies
Fairway: SE Principles for Building Fairer Software. CoRR (2020)
Joymallya Chakraborty, Kewen Peng, Tim Menzies
Making Fair ML Software using Trustworthy Explanation. ASE (2020)
Joymallya Chakraborty, Kewen Peng, Tim Menzies
Making Fair ML Software using Trustworthy Explanation. CoRR (2020)
Suvodeep Majumder, Joymallya Chakraborty, Amritanshu Agrawal, Tim Menzies
Why Software Projects need Heroes (Lessons Learned from 1100+ Projects). CoRR (2019)
Joymallya Chakraborty, Tianpei Xia, Fahmid M. Fahid, Tim Menzies
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization. CoRR (2019)
Jianfeng Chen, Joymallya Chakraborty, Philip Clark, Kevin Haverlock, Snehit Cherian, Tim Menzies
Predicting breakdowns in cloud services (with SPIKE). ESEC/SIGSOFT FSE (2019)
Nasif Imtiaz, Justin Middleton, Joymallya Chakraborty, Neill Robson, Gina R. Bai, Emerson R. Murphy-Hill
Investigating the effects of gender bias on GitHub. ICSE (2019)
Jianfeng Chen, Joymallya Chakraborty, Philip Clark, Kevin Haverlock, Snehit Cherian, Tim Menzies
Predicting Breakdowns in Cloud Services (with SPIKE). CoRR (2019)