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Majumder, Suvodeep
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1

When less is more: on the value of "co-training" for semi-s..:

Majumder, Suvodeep ; Chakraborty, Joymallya ; Menzies, Tim
Empirical Software Engineering.  29 (2024)  2 - p. , 2024
Link: https://doi.org/10.1007/..
 
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2

Fair Enough: Searching for Sufficient Measures of Fairness:

Majumder, Suvodeep ; Chakraborty, Joymallya ; Bai, Gina R...
ACM Transactions on Software Engineering and Methodology.  32 (2023)  6 - p. 1-22 , 2023
Link: https://doi.org/10.1145/..
 
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3

Methods for stabilizing models across large samples of proj..:

, In: Proceedings of the 19th International Conference on Mining Software Repositories,
Majumder, Suvodeep ; Xia, Tianpei ; Krishna, Rahul. - p. 566-578 , 2022
Link: https://dl.acm.org/doi/1..
 
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4

Methods for Stabilizing Models Across Large Samples of Proj..:

, In: 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR),
Majumder, Suvodeep ; Xia, Tianpei ; Krishna, Rahul. - p. 566-578 , 2022
Link: https://doi.org/10.1145/..
 
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5

Fair-SSL: Building fair ML Software with less data:

, In: 2022 IEEE/ACM International Workshop on Equitable Data & Technology (FairWare),
Chakraborty, Joymallya ; Majumder, Suvodeep ; Tu, Huy - p. 1-8 , 2022
Link: https://doi.org/10.1145/..
 
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6

Fair-SSL : building fair ML software with less data:

, In: Proceedings of the 2nd International Workshop on Equitable Data and Technology,
Chakraborty, Joymallya ; Majumder, Suvodeep ; Tu, Huy - p. 1-8 , 2022
Link: https://dl.acm.org/doi/1..
 
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7

Revisiting process versus product metrics: a large scale an..:

Majumder, Suvodeep ; Mody, Pranav ; Menzies, Tim
Empirical Software Engineering.  27 (2022)  3 - p. , 2022
Link: https://doi.org/10.1007/..
 
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8

Early Life Cycle Software Defect Prediction : Why? How?:

, In: Proceedings of the 43rd International Conference on Software Engineering,
Shrikanth, N. C. ; Majumder, Suvodeep ; Menzies, Tim - p. 448-459 , 2021
Link: https://dl.acm.org/doi/1..
 
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9

Early Life Cycle Software Defect Prediction. Why? How?:

, In: 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE),
N.C., Shrikanth ; Majumder, Suvodeep ; Menzies, Tim - p. 448-459 , 2021
Link: https://doi.org/10.1109/..
 
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10

Bias in machine learning software: why? how? what to do?:

, In: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering,
Chakraborty, Joymallya ; Majumder, Suvodeep ; Menzies, Tim - p. 429-440 , 2021
Link: https://dl.acm.org/doi/1..
 
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11

Fairway: a way to build fair ML software:

, In: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering,
Chakraborty, Joymallya ; Majumder, Suvodeep ; Yu, Zhe. - p. 654-665 , 2020
Link: https://dl.acm.org/doi/1..
 
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12

500+ times faster than deep learning : a case study expl..:

, In: Proceedings of the 15th International Conference on Mining Software Repositories,
Majumder, Suvodeep ; Balaji, Nikhila ; Brey, Katie.. - p. 554-563 , 2018
Link: https://dl.acm.org/doi/1..
 
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13

Revisiting process versus product metrics: A large scale an..:

Majumder, Suvodeep ; Mody, Pranav ; Menzies, Tim
https://zenodo.org/record/7308363.  , 2022
Link: https://zenodo.org/recor..
 
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14

A baseline revisited: Pushing the limits of multi-segment m..:

Majumder, Suvodeep ; Lauly, Stanislas ; Nadejde, Maria..
http://arxiv.org/abs/2210.10906.  , 2022
Link: http://arxiv.org/abs/221..
 
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15

When Less is More: On the Value of "Co-training" for Semi-S..:

Majumder, Suvodeep ; Chakraborty, Joymallya ; Menzies, Tim
http://arxiv.org/abs/2211.05920.  , 2022
Link: http://arxiv.org/abs/221..
 
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