Fine-grained incremental learning and multi-feature tossing graphs to improve bug triaging. - Pamela Bhattacharya; Iulian Neamtiu (ICSM, 2010)

Using software evolution history to facilitate development and maintenance. - Pamela Bhattacharya (ICSE, 2011)

Assessing programming language impact on development and maintenance: a study on c and c++. - Pamela Bhattacharya; Iulian Neamtiu (ICSE, 2011)

Bug-fix time prediction models: can we do better? - Pamela Bhattacharya; Iulian Neamtiu (MSR, 2011)

Graph-based analysis and prediction for software evolution. - Pamela Bhattacharya; Marios Iliofotou; Iulian Neamtiu; Michalis Faloutsos (ICSE, 2012)

Mining challenge 2012: The Android platform. - Emad Shihab; Yasutaka Kamei; Pamela Bhattacharya (MSR, 2012)

Automated, highly-accurate, bug assignment using machine learning and tossing graphs. - Pamela Bhattacharya; Iulian Neamtiu; Christian R. Shelton (J. Syst. Softw., 2012)

Quantitative Decision-making in Software Engineering. - Pamela Bhattacharya (2012)

Improving Cloud Availability with On-the-fly Schema Updates. - Iulian Neamtiu; Jonathan Bardin; Md. Reaz Uddin; Dien-Yen Lin; Pamela Bhattacharya (COMAD, 2013)

An Empirical Analysis of Bug Reports and Bug Fixing in Open Source Android Apps. - Pamela Bhattacharya; Liudmila Ulanova; Iulian Neamtiu; Sai Charan Koduru (CSMR, 2013)

Determining Developers' Expertise and Role: A Graph Hierarchy-Based Approach. - Pamela Bhattacharya; Iulian Neamtiu; Michalis Faloutsos (ICSME, 2014)

ScopeIt: Scoping Task Relevant Sentences in Documents. - Barun Patra; Vishwas Suryanarayanan; Chala Fufa; Pamela Bhattacharya; Charles Lee (COLING (Industry), 2020)

To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints. - Barun Patra; Chala Fufa; Pamela Bhattacharya; Charles Lee (EMNLP (1), 2020)

Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). - Pamela Bhattacharya; Jing Gao 004; Meng Jiang 001; Mehran Kafai; Srijan Kumar; Qi Li 012; Neil Shah; Sihong Xie; Philip S. Yu; Ming Zeng 001 (KDD, 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)

Mind the Pool: Convolutional Neural Networks Can Overfit Input Size. - Bilal Alsallakh; David Yan; Narine Kokhlikyan; Vivek Miglani; Orion Reblitz-Richardson; Pamela Bhattacharya (ICLR, 2023)

Learned Temporal Aggregations for Fraud Classification on E-Commerce Platforms. - Xiao Ling; David Yan; Bilal Alsallakh; Ashutosh Pandey; Manan Bakshi; Pamela Bhattacharya (WWW (Companion Volume), 2023)