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2020 – today
- 2024
[j1]Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Hong Nguyen, Valentina Golendukhina:
SEA4DQ 2024 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes 49(4): 29-30 (2024)- [c5]Ningfei Wang
, Yupin Huang, Han Cheng, Jiri Gesi, Xiaojie Wang, Vivek Mittal:
Towards Robustness Analysis of E-Commerce Ranking System. WWW (Companion Volume) 2024: 364-373 - [i3]Jiri Gesi, Iftekhar Ahmed:
Beyond Self-learned Attention: Mitigating Attention Bias in Transformer-based Models Using Attention Guidance. CoRR abs/2402.16790 (2024) - [i2]Ningfei Wang, Yupin Huang, Han Cheng, Jiri Gesi, Xiaojie Wang, Vivek Mittal:
Towards Robustness Analysis of E-Commerce Ranking System. CoRR abs/2403.04257 (2024) - 2023
- [b1]Jiri Gesi:
Feature Bias in Machine Learning Models: An In-depth Exploration for Software Engineering Tasks. University of California, Irvine, USA, 2023 - [c4]Yupin Huang, Jiri Gesi, Xinyu Hong, Kai Zhong, Han Cheng, Vivek Mittal, Qingjun Cui, Vamsi Salaka:
Behavior-driven Query Similarity Prediction based on Pre-trained Language Models for E-Commerce Search. eCom@SIGIR 2023 - [c3]Jiri Gesi, Xinyun Shen, Yunfan Geng, Qihong Chen, Iftekhar Ahmed:
Leveraging Feature Bias for Scalable Misprediction Explanation of Machine Learning Models. ICSE 2023: 1559-1570 - 2022
- [i1]Jiri Gesi, Siqi Liu, Jiawei Li, Iftekhar Ahmed, Nachiappan Nagappan, David Lo, Eduardo Santana de Almeida, Pavneet Singh Kochhar, Lingfeng Bao:
Code Smells in Machine Learning Systems. CoRR abs/2203.00803 (2022) - 2021
- [c2]Jiri Gesi, Jiawei Li, Iftekhar Ahmed:
An Empirical Examination of the Impact of Bias on Just-in-time Defect Prediction. ESEM 2021: 7:1-7:12 - [c1]Alex Groce, Iftekhar Ahmed, Josselin Feist, Gustavo Grieco, Jiri Gesi, Mehran Meidani, Qihong Chen:
Evaluating and Improving Static Analysis Tools Via Differential Mutation Analysis. QRS 2021: 207-218
Coauthor Index
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