Pamela Bhattacharya

According to our database, Pamela Bhattacharya authored at least 17 papers between 2010 and 2023.

Collaborative distances:

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

2023

Learned Temporal Aggregations for Fraud Classification on E-Commerce Platforms.

Xiao Ling, David Yan, Bilal Alsallakh, Ashutosh Pandey, Manan Bakshi, Pamela Bhattacharya

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Mind the Pool: Convolutional Neural Networks Can Overfit Input Size.

Bilal Alsallakh, David Yan, Narine Kokhlikyan, Vivek Miglani, Orion Reblitz-Richardson, Pamela Bhattacharya

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

A Tour of Visualization Techniques for Computer Vision Datasets.

Bilal Alsallakh, Pamela Bhattacharya, Vanessa Feng, Narine Kokhlikyan, Orion Reblitz-Richardson, Rahul Rajan, David Yan

CoRR, 2022

Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact).

Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints.

Barun Patra, Chala Fufa, Pamela Bhattacharya, Charles Lee

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ScopeIt: Scoping Task Relevant Sentences in Documents.

Barun Patra, Vishwas Suryanarayanan, Chala Fufa, Pamela Bhattacharya, Charles Lee

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2014

Determining Developers' Expertise and Role: A Graph Hierarchy-Based Approach.

Pamela Bhattacharya, Iulian Neamtiu, Michalis Faloutsos

Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution, Victoria, BC, Canada, September 29, 2014

2013

An Empirical Analysis of Bug Reports and Bug Fixing in Open Source Android Apps.

Pamela Bhattacharya, Liudmila Ulanova, Iulian Neamtiu, Sai Charan Koduru

Proceedings of the 17th European Conference on Software Maintenance and Reengineering, 2013

Improving Cloud Availability with On-the-fly Schema Updates.

Iulian Neamtiu, Jonathan Bardin, Md. Reaz Uddin, Dien-Yen Lin, Pamela Bhattacharya

Proceedings of the 19th International Conference on Management of Data, 2013

2012

Quantitative Decision-making in Software Engineering.

Pamela Bhattacharya

PhD thesis, 2012

Automated, highly-accurate, bug assignment using machine learning and tossing graphs.

Pamela Bhattacharya, Iulian Neamtiu, Christian R. Shelton

J. Syst. Softw., 2012

Mining challenge 2012: The Android platform.

Emad Shihab, Yasutaka Kamei, Pamela Bhattacharya

Proceedings of the 9th IEEE Working Conference of Mining Software Repositories, 2012

Graph-based analysis and prediction for software evolution.

Pamela Bhattacharya, Marios Iliofotou, Iulian Neamtiu, Michalis Faloutsos

Proceedings of the 34th International Conference on Software Engineering, 2012

2011

Bug-fix time prediction models: can we do better?

Pamela Bhattacharya, Iulian Neamtiu

Proceedings of the 8th International Working Conference on Mining Software Repositories, 2011

Assessing programming language impact on development and maintenance: a study on c and c++.

Pamela Bhattacharya, Iulian Neamtiu

Proceedings of the 33rd International Conference on Software Engineering, 2011

Using software evolution history to facilitate development and maintenance.

Pamela Bhattacharya

Proceedings of the 33rd International Conference on Software Engineering, 2011

2010

Fine-grained incremental learning and multi-feature tossing graphs to improve bug triaging.

Pamela Bhattacharya, Iulian Neamtiu

Proceedings of the 26th IEEE International Conference on Software Maintenance (ICSM 2010), 2010