Parvez Ahammad

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 15

Top Topics

Top Venues

Comput. Commun. Rev.

Publications

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
Epsilon*: Privacy Metric for Machine Learning Models. CoRR (2023)
Diana M. Negoescu, Pasha Khosravi, Shadow Zhao, Nanyu Chen, Parvez Ahammad, Humberto González
Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn. CoRR (2022)
Reza Hosseini, Albert Chen, Kaixu Yang, Sayan Patra, Yi Su, Saad Eddin Al Orjany, Sishi Tang, Parvez Ahammad
Greykite: Deploying Flexible Forecasting at Scale at LinkedIn. KDD (2022)
Reza Hosseini, Albert Chen, Kaixu Yang, Sayan Patra, Yi Su, Saad Eddin Al Orjany, Sishi Tang, Parvez Ahammad
Greykite: Deploying Flexible Forecasting at Scale at LinkedIn. CoRR (2022)
Jilei Yang, Diana Negoescu, Parvez Ahammad
Intellige: A User-Facing Model Explainer for Narrative Explanations. CoRR (2021)
Ryan Rogers, Subbu Subramaniam, Sean Peng, David Durfee, Seunghyun Lee, Santosh Kumar Kancha, Shraddha Sahay, Parvez Ahammad
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale. J. Priv. Confidentiality 11 (3) (2021)
Ryan Rogers, Adrian Rivera Cardoso, Koray Mancuhan, Akash Kaura, Nikhil Gahlawat, Neha Jain, Paul Ko, Parvez Ahammad
A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale. CoRR (2020)
Ryan Rogers, Subbu Subramaniam, Sean Peng, David Durfee, Seunghyun Lee, Santosh Kumar Kancha, Shraddha Sahay, Parvez Ahammad
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale. CoRR (2020)
Qingzhu Gao, Humberto González, Parvez Ahammad
MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry. CoRR (2018)
Jiawen Zhou, Parvez Ahammad
EyeQ: A crowdsourcing study of subjective rate-distortion trade-offs for progressive image delivery on mobile and PC Platforms. ICME Workshops (2017)
Qingzhu Gao, Prasenjit Dey, Parvez Ahammad
Perceived Performance of Webpages In the Wild: Insights from Large-scale Crowdsourcing of Above-the-Fold QoE. CoRR (2017)
Qingzhu Gao, Prasenjit Dey, Parvez Ahammad
Perceived Performance of Top Retail Webpages In the Wild: Insights from Large-scale Crowdsourcing of Above-the-Fold QoE. Internet-QoE@SIGCOMM (2017)
Qingzhu Gao, Prasenjit Dey, Parvez Ahammad
Perceived Performance of Top Retail Webpages In the Wild. Comput. Commun. Rev. 47 (5) (2017)
Heju Jiang, Jasvir Nagra, Parvez Ahammad
SoK: Applying Machine Learning in Security - A Survey. CoRR (2016)
Heju Jiang, Scott Algatt, Parvez Ahammad
A recommender system for efficient discovery of new anomalies in large-scale access logs. CoRR (2016)
Parvez Ahammad, R. Gaunker, Brian Kennedy, Mehrdad Reshadi, K. Kumar, A. K. Pathan, Hariharan Kolam
A flexible platform for QoE-driven delivery of image-rich web applications. ICME (2015)
Parvez Ahammad, Brian Kennedy, Padmapani Ganti, Hariharan Kolam
QoE-driven Unsupervised Image Categorization for Optimized Web Delivery: Short Paper. ACM Multimedia (2014)
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
A low-bandwidth camera sensor platform with applications in smart camera networks. ACM Trans. Sens. Networks 9 (2) (2013)
Saket Navlakha, Parvez Ahammad, Eugene W. Myers
Unsupervised segmentation of noisy electron microscopy images using salient watersheds and region merging. BMC Bioinform. 14 (2013)
Ting Zhao, Jun Xie, Fernando Amat, Nathan G. Clack, Parvez Ahammad, Hanchuan Peng, Fuhui Long, Eugene W. Myers
Automated Reconstruction of Neuronal Morphology Based on Local Geometrical and Global Structural Models. Neuroinformatics 9 (2-3) (2011)
Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran
Coding of Image Feature Descriptors for Distributed Rate-efficient Visual Correspondences. Int. J. Comput. Vis. 94 (3) (2011)
Edgar J. Lobaton, Parvez Ahammad, Shankar Sastry
Algebraic approach to recovering topological information in distributed camera networks. IPSN (2009)
Chuohao Yeo, Parvez Ahammad, Hao Zhang, Kannan Ramchandran
Rate-constrained distributed distance testing and its applications. ICASSP (2009)
Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran, Shankar Sastry
High-Speed Action Recognition and Localization in Compressed Domain Videos. IEEE Trans. Circuits Syst. Video Technol. 18 (8) (2008)
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
CITRIC: A low-bandwidth wireless camera network platform. ICDSC (2008)
Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran
Rate-efficient visual correspondences using random projections. ICIP (2008)
Manish Kushwaha, Isaac Amundson, Péter Völgyesi, Parvez Ahammad, Gyula Simon, Xenofon D. Koutsoukos, Ákos Lédeczi, Shankar Sastry
Multi-Modal Target Tracking Using Heterogeneous Sensor Networks. ICCCN (2008)
Cyrus L. Harmon, Parvez Ahammad, Ann Hammonds, Richard Weiszmann, Susan E. Celniker, Shankar Sastry, Gerald M. Rubin
Imaginal Discs. RECOMB (2007)
Parvez Ahammad, Chuohao Yeo, Kannan Ramchandran, Shankar S. Sastry
Unsupervised Discovery of Action Hierarchies in Large Collections of Activity Videos. MMSP (2007)
Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran, S. Shankar Sastry
Compressed Domain Real-time Action Recognition. MMSP (2006)
Parvez Ahammad, Cyrus L. Harmon, Ann Hammonds, Shankar Sastry, Gerald M. Rubin
Joint Nonparametric Alignment for Analyzing Spatial Gene Expression Patterns in Drosophila Imaginal Discs. CVPR (2) (2005)
Erik G. Learned-Miller, Parvez Ahammad
Joint MRI Bias Removal Using Entropy Minimization Across Images. NIPS (2004)