Parvez Ahammad

According to our database, Parvez Ahammad authored at least 32 papers between 2004 and 2023.

Collaborative distances:

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

2023

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

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

Greykite: Deploying Flexible Forecasting at Scale at LinkedIn.

Reza Hosseini, Albert Chen, Kaixu Yang, Sayan Patra, Yi Su, Saad Eddin Al Orjany, Sishi Tang, Parvez Ahammad

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

2021

LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale.

Ryan Rogers, Subbu Subramaniam, Sean Peng, David Durfee, Seunghyun Lee, Santosh Kumar Kancha, Shraddha Sahay, Parvez Ahammad

J. Priv. Confidentiality, 2021

Intellige: A User-Facing Model Explainer for Narrative Explanations.

Jilei Yang, Diana M. Negoescu, Parvez Ahammad

CoRR, 2021

2020

MCA-Based Rule Mining Enables Interpretable Inference in Clinical Psychiatry.

Qingzhu Gao, Humberto González, Parvez Ahammad

Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale.

Ryan Rogers, Adrian Rivera Cardoso, Koray Mancuhan, Akash Kaura, Nikhil Gahlawat, Neha Jain, Paul Ko, Parvez Ahammad

CoRR, 2020

2018

MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry.

Qingzhu Gao, Humberto González, Parvez Ahammad

CoRR, 2018

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

Perceived Performance of Top Retail Webpages In the Wild.

Qingzhu Gao, Prasenjit Dey, Parvez Ahammad

Comput. Commun. Rev., 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

Proceedings of the 2017 Workshop on QoE-based Analysis and Management of Data Communication Networks, 2017

EyeQ: A crowdsourcing study of subjective rate-distortion trade-offs for progressive image delivery on mobile and PC Platforms.

Jiawen Zhou, Parvez Ahammad

Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017

2016

SoK: Applying Machine Learning in Security - A Survey.

Heju Jiang, Jasvir Nagra, Parvez Ahammad

CoRR, 2016

A recommender system for efficient discovery of new anomalies in large-scale access logs.

Heju Jiang, Scott Algatt, Parvez Ahammad

CoRR, 2016

2015

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

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

2014

QoE-driven Unsupervised Image Categorization for Optimized Web Delivery: Short Paper.

Parvez Ahammad, Brian Kennedy, Padmapani Ganti, Hariharan Kolam

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

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, Parvez Ahammad

ACM Trans. Sens. Networks, 2013

Unsupervised segmentation of noisy electron microscopy images using salient watersheds and region merging.

Saket Navlakha, Parvez Ahammad, Eugene W. Myers

BMC Bioinform., 2013

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

Coding of Image Feature Descriptors for Distributed Rate-efficient Visual Correspondences.

Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran

Int. J. Comput. Vis., 2011

2009

Algebraic approach to recovering topological information in distributed camera networks.

Edgar J. Lobaton, Parvez Ahammad, Shankar Sastry

Proceedings of the 8th International Conference on Information Processing in Sensor Networks, 2009

Rate-constrained distributed distance testing and its applications.

Chuohao Yeo, Parvez Ahammad, Hao Zhang, Kannan Ramchandran

Proceedings of the IEEE International Conference on Acoustics, 2009

Building an Algebraic Topological Model of Wireless Camera Networks.

Edgar J. Lobaton, S. Shankar Sastry, Parvez Ahammad

Proceedings of the Multi-Camera Networks, 2009

2008

High-Speed Action Recognition and Localization in Compressed Domain Videos.

Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran, Shankar Sastry

IEEE Trans. Circuits Syst. Video Technol., 2008

Rate-efficient visual correspondences using random projections.

Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran

Proceedings of the International Conference on Image Processing, 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, Lung-Chung Chang, J. Doug Tygar, Shankar Sastry

Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

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

Proceedings of the 17th International Conference on Computer Communications and Networks, 2008

2007

Comparative Analysis of Spatial Patterns of Gene Expression in <i>Drosophila melanogaster</i> Imaginal Discs.

Cyrus L. Harmon, Parvez Ahammad, Ann Hammonds, Richard Weiszmann, Susan E. Celniker, Shankar Sastry, Gerald M. Rubin

Proceedings of the Research in Computational Molecular Biology, 2007

Unsupervised Discovery of Action Hierarchies in Large Collections of Activity Videos.

Parvez Ahammad, Chuohao Yeo, Kannan Ramchandran, S. Shankar Sastry

Proceedings of the IEEE 9th Workshop on Multimedia Signal Processing, 2007

2006

Compressed Domain Real-time Action Recognition.

Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran, S. Shankar Sastry

Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006

2005

Joint Nonparametric Alignment for Analyzing Spatial Gene Expression Patterns in Drosophila Imaginal Discs.

Parvez Ahammad, Cyrus L. Harmon, Ann Hammonds, Shankar Sastry, Gerald M. Rubin

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Joint MRI Bias Removal Using Entropy Minimization Across Images.

Erik G. Learned-Miller, Parvez Ahammad

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004