Parvez Ahammad

34 papers A* 2A 1B 3C 2Misc 1Journal 17Unranked 6

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