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ORCIDParvez Ahammad
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2020 – today
- 2023
[i10]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 abs/2307.11280 (2023)- 2022
- [c15]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: 3007-3017 - [i9]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 abs/2207.07788 (2022) - [i8]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 abs/2209.07749 (2022) - 2021
- [j7]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) - [i7]Jilei Yang, Diana M. Negoescu, Parvez Ahammad:
Intellige: A User-Facing Model Explainer for Narrative Explanations. CoRR abs/2105.12941 (2021) - 2020
- [p2]Qingzhu Gao, Humberto González, Parvez Ahammad:
MCA-Based Rule Mining Enables Interpretable Inference in Clinical Psychiatry. Precision Health and Medicine 2020: 19-31 - [i6]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 abs/2002.05839 (2020) - [i5]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 abs/2010.13981 (2020)
2010 – 2019
- 2018
- [i4]Qingzhu Gao, Humberto González, Parvez Ahammad:
MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry. CoRR abs/1810.11558 (2018) - 2017
- [j6]Qingzhu Gao, Prasenjit Dey, Parvez Ahammad:
Perceived Performance of Top Retail Webpages In the Wild. Comput. Commun. Rev. 47(5): 42-47 (2017) - [c14]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: 411-416 - [c13]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: 13-18 - [i3]Qingzhu Gao, Prasenjit Dey, Parvez Ahammad:
Perceived Performance of Webpages In the Wild: Insights from Large-scale Crowdsourcing of Above-the-Fold QoE. CoRR abs/1704.01220 (2017) - 2016
- [i2]Heju Jiang, Scott Algatt, Parvez Ahammad:
A recommender system for efficient discovery of new anomalies in large-scale access logs. CoRR abs/1610.08117 (2016) - [i1]Heju Jiang, Jasvir Nagra, Parvez Ahammad:
SoK: Applying Machine Learning in Security - A Survey. CoRR abs/1611.03186 (2016) - 2015
- [c12]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: 1-6 - 2014
- [c11]Parvez Ahammad, Brian Kennedy, Padmapani Ganti, Hariharan Kolam:
QoE-driven Unsupervised Image Categorization for Optimized Web Delivery: Short Paper. ACM Multimedia 2014: 797-800 - 2013
- [j5]Saket Navlakha, Parvez Ahammad, Eugene W. Myers:
Unsupervised segmentation of noisy electron microscopy images using salient watersheds and region merging. BMC Bioinform. 14: 294 (2013) - [j4]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): 21:1-21:23 (2013) - 2011
- [j3]Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran:
Coding of Image Feature Descriptors for Distributed Rate-efficient Visual Correspondences. Int. J. Comput. Vis. 94(3): 267-281 (2011) - [j2]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): 247-261 (2011)
2000 – 2009
- 2009
- [c10]Chuohao Yeo, Parvez Ahammad, Hao Zhang, Kannan Ramchandran:
Rate-constrained distributed distance testing and its applications. ICASSP 2009: 809-812 - [c9]Edgar J. Lobaton, Parvez Ahammad, Shankar Sastry:
Algebraic approach to recovering topological information in distributed camera networks. IPSN 2009: 193-204 - [p1]Edgar J. Lobaton, S. Shankar Sastry, Parvez Ahammad:
Building an Algebraic Topological Model of Wireless Camera Networks. Multi-Camera Networks 2009: 95-115 - 2008
- [j1]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): 1006-1015 (2008) - [c8]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: 136-143 - [c7]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: 1-10 - [c6]Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran:
Rate-efficient visual correspondences using random projections. ICIP 2008: 217-220 - 2007
- [c5]Parvez Ahammad, Chuohao Yeo, Kannan Ramchandran, S. Shankar Sastry:
Unsupervised Discovery of Action Hierarchies in Large Collections of Activity Videos. MMSP 2007: 410-413 - [c4]Cyrus L. Harmon, Parvez Ahammad, Ann Hammonds, Richard Weiszmann, Susan E. Celniker, Shankar Sastry, Gerald M. Rubin:
Comparative Analysis of Spatial Patterns of Gene Expression in Drosophila melanogaster Imaginal Discs. RECOMB 2007: 533-547 - 2006
- [c3]Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran, S. Shankar Sastry:
Compressed Domain Real-time Action Recognition. MMSP 2006: 33-36 - 2005
- [c2]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: 755-760 - 2004
- [c1]Erik G. Learned-Miller, Parvez Ahammad:
Joint MRI Bias Removal Using Entropy Minimization Across Images. NIPS 2004: 761-768
Coauthor Index
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