Joint MRI Bias Removal Using Entropy Minimization Across Images. - Erik G. Learned-Miller; Parvez Ahammad (NIPS, 2004)

Joint Nonparametric Alignment for Analyzing Spatial Gene Expression Patterns in Drosophila Imaginal Discs. - Parvez Ahammad; Cyrus L. Harmon; Ann Hammonds; Shankar Sastry 001; Gerald M. Rubin (CVPR (2), 2005)

Compressed Domain Real-time Action Recognition. - Chuohao Yeo; Parvez Ahammad; Kannan Ramchandran; S. Shankar Sastry (MMSP, 2006)

Unsupervised Discovery of Action Hierarchies in Large Collections of Activity Videos. - Parvez Ahammad; Chuohao Yeo; Kannan Ramchandran; S. Shankar Sastry (MMSP, 2007)

Comparative Analysis of Spatial Patterns of Gene Expression in Drosophila melanogaster Imaginal Discs. - Cyrus L. Harmon; Parvez Ahammad; Ann Hammonds; Richard Weiszmann; Susan E. Celniker; Shankar Sastry 001; Gerald M. Rubin (RECOMB, 2007)

Multi-Modal Target Tracking Using Heterogeneous Sensor Networks. - Manish Kushwaha; Isaac Amundson; Péter Völgyesi; Parvez Ahammad; Gyula Simon; Xenofon D. Koutsoukos; Ákos Lédeczi; Shankar Sastry 001 (ICCCN, 2008)

CITRIC: A low-bandwidth wireless camera network platform. - Phoebus Chen; Parvez Ahammad; Colby Boyer; Shih-I Huang; Leon Lin; Edgar J. Lobaton; Marci Meingast; Songhwai Oh; Simon Wang; Posu Yan; Allen Y. Yang; Chuohao Yeo; et al. (ICDSC, 2008)

Rate-efficient visual correspondences using random projections. - Chuohao Yeo; Parvez Ahammad; Kannan Ramchandran (ICIP, 2008)

High-Speed Action Recognition and Localization in Compressed Domain Videos. - Chuohao Yeo; Parvez Ahammad; Kannan Ramchandran; Shankar Sastry 001 (IEEE Trans. Circuits Syst. Video Technol., 2008)

Building an Algebraic Topological Model of Wireless Camera Networks. - Edgar J. Lobaton; S. Shankar Sastry; Parvez Ahammad (Multi-Camera Networks, 2009)

Rate-constrained distributed distance testing and its applications. - Chuohao Yeo; Parvez Ahammad; Hao Zhang 006; Kannan Ramchandran (ICASSP, 2009)

Algebraic approach to recovering topological information in distributed camera networks. - Edgar J. Lobaton; Parvez Ahammad; Shankar Sastry 001 (IPSN, 2009)

Coding of Image Feature Descriptors for Distributed Rate-efficient Visual Correspondences. - Chuohao Yeo; Parvez Ahammad; Kannan Ramchandran (Int. J. Comput. Vis., 2011)

Automated Reconstruction of Neuronal Morphology Based on Local Geometrical and Global Structural Models. - Ting Zhao; Jun Xie; Fernando Amat; Nathan G. Clack; Parvez Ahammad; Hanchuan Peng; Fuhui Long; Eugene W. Myers (Neuroinformatics, 2011)

Unsupervised segmentation of noisy electron microscopy images using salient watersheds and region merging. - Saket Navlakha; Parvez Ahammad; Eugene W. Myers (BMC Bioinform., 2013)

A low-bandwidth camera sensor platform with applications in smart camera networks. - Phoebus Chen; Kirak Hong; Nikhil Naikal; S. Shankar Sastry; J. Doug Tygar; Posu Yan; Allen Y. Yang; Lung-Chung Chang; Leon Lin; Simon Wang; Edgar J. Lobaton; Songhwai Oh; et al. (ACM Trans. Sens. Networks, 2013)

QoE-driven Unsupervised Image Categorization for Optimized Web Delivery: Short Paper. - Parvez Ahammad; Brian Kennedy; Padmapani Ganti; Hariharan Kolam (ACM Multimedia, 2014)

A flexible platform for QoE-driven delivery of image-rich web applications. - Parvez Ahammad; R. Gaunker; Brian Kennedy; Mehrdad Reshadi; K. Kumar; A. K. Pathan; Hariharan Kolam (ICME, 2015)

A recommender system for efficient discovery of new anomalies in large-scale access logs. - Heju Jiang; Scott Algatt; Parvez Ahammad (CoRR, 2016)

SoK: Applying Machine Learning in Security - A Survey. - Heju Jiang; Jasvir Nagra; Parvez Ahammad (CoRR, 2016)

EyeQ: A crowdsourcing study of subjective rate-distortion trade-offs for progressive image delivery on mobile and PC Platforms. - Jiawen Zhou; Parvez Ahammad (ICME Workshops, 2017)

Perceived Performance of Top Retail Webpages In the Wild: Insights from Large-scale Crowdsourcing of Above-the-Fold QoE. - Qingzhu Gao; Prasenjit Dey; Parvez Ahammad (Internet-QoE@SIGCOMM, 2017)

Perceived Performance of Top Retail Webpages In the Wild. - Qingzhu Gao; Prasenjit Dey; Parvez Ahammad (Comput. Commun. Rev., 2017)

Perceived Performance of Webpages In the Wild: Insights from Large-scale Crowdsourcing of Above-the-Fold QoE. - Qingzhu Gao; Prasenjit Dey; Parvez Ahammad (CoRR, 2017)

MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry. - Qingzhu Gao; Humberto González; Parvez Ahammad (CoRR, 2018)

A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale. - Ryan Rogers 002; Adrian Rivera Cardoso; Koray Mancuhan; Akash Kaura; Nikhil Gahlawat; Neha Jain; Paul Ko; Parvez Ahammad (CoRR, 2020)

MCA-Based Rule Mining Enables Interpretable Inference in Clinical Psychiatry. - Qingzhu Gao; Humberto González; Parvez Ahammad (Precision Health and Medicine, 2020)

Intellige: A User-Facing Model Explainer for Narrative Explanations. - Jilei Yang; Diana M. Negoescu; Parvez Ahammad (CoRR, 2021)

LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale. - Ryan Rogers 002; Subbu Subramaniam; Sean Peng; David Durfee; Seunghyun Lee; Santosh Kumar Kancha; Shraddha Sahay; Parvez Ahammad (J. Priv. Confidentiality, 2021)

Greykite: Deploying Flexible Forecasting at Scale at LinkedIn. - Reza Hosseini; Albert C. Chen 002; Kaixu Yang; Sayan Patra; Yi Su; Saad Eddin Al Orjany; Sishi Tang; Parvez Ahammad (KDD, 2022)

Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn. - Diana M. Negoescu; Pasha Khosravi; Shadow Zhao; Nanyu Chen; Parvez Ahammad; Humberto González (CoRR, 2022)

Epsilon*: Privacy Metric for Machine Learning Models. - Diana M. Negoescu; Humberto González; Saad Eddin Al Orjany; Jilei Yang; Yuliia Lut; Rahul Tandra; Xiaowen Zhang; Xinyi Zheng; Zach Douglas; Vidita Nolkha; Parvez Ahammad; Gennady Samorodnitsky (CoRR, 2023)