Investigating the effects of gender bias on GitHub. - Nasif Imtiaz; Justin Middleton; Joymallya Chakraborty; Neill Robson; Gina R. Bai; Emerson R. Murphy-Hill (ICSE, 2019)

Predicting breakdowns in cloud services (with SPIKE). - Jianfeng Chen; Joymallya Chakraborty; Philip Clark; Kevin Haverlock; Snehit Cherian; Tim Menzies (ESEC/SIGSOFT FSE, 2019)

Why Software Projects need Heroes (Lessons Learned from 1100+ Projects). - Suvodeep Majumder; Joymallya Chakraborty; Amritanshu Agrawal; Tim Menzies (CoRR, 2019)

Software Engineering for Fairness: A Case Study with Hyperparameter Optimization. - Joymallya Chakraborty; Tianpei Xia; Fahmid M. Fahid; Tim Menzies (CoRR, 2019)

Making Fair ML Software using Trustworthy Explanation. - Joymallya Chakraborty; Kewen Peng; Tim Menzies (ASE, 2020)

Fairway: a way to build fair ML software. - Joymallya Chakraborty; Suvodeep Majumder; Zhe Yu 002; Tim Menzies (ESEC/SIGSOFT FSE, 2020)

Fairway: SE Principles for Building Fairer Software. - Joymallya Chakraborty; Suvodeep Majumder; Zhe Wu; Tim Menzies (CoRR, 2020)

Bias in machine learning software: why? how? what to do? - Joymallya Chakraborty; Suvodeep Majumder; Tim Menzies (ESEC/SIGSOFT FSE, 2021)

xFAIR: Better Fairness via Model-based Rebalancing of Protected Attributes. - Kewen Peng; Joymallya Chakraborty; Tim Menzies (CoRR, 2021)

Can We Achieve Fairness Using Semi-Supervised Learning? - Joymallya Chakraborty; Huy Tu; Suvodeep Majumder; Tim Menzies (CoRR, 2021)

Fair-SSL: Building fair ML Software with less data. - Joymallya Chakraborty; Suvodeep Majumder; Huy Tu (FairWare@ICSE, 2022)

FairMask: Better Fairness via Model-Based Rebalancing of Protected Attributes. - Kewen Peng; Joymallya Chakraborty; Tim Menzies (IEEE Trans. Software Eng., 2023)

Fair Enough: Searching for Sufficient Measures of Fairness. - Suvodeep Majumder; Joymallya Chakraborty; Gina R. Bai; Kathryn T. Stolee; Tim Menzies (ACM Trans. Softw. Eng. Methodol., 2023)

DetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection. - Joymallya Chakraborty; Wei Xia; Anirban Majumder; Dan Ma; Walid Chaabene; Naveed Janvekar (CoRR, 2024)

When less is more: on the value of "co-training" for semi-supervised software defect predictors. - Suvodeep Majumder; Joymallya Chakraborty; Tim Menzies (Empir. Softw. Eng., 2024)

FairBalance: How to Achieve Equalized Odds With Data Pre-Processing. - Zhe Yu 002; Joymallya Chakraborty; Tim Menzies (IEEE Trans. Software Eng., 2024)