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Aastha Nigam
Aastha Nigam
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Zweryfikowany adres z nd.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Disguise detection and face recognition in visible and thermal spectrums
TI Dhamecha, A Nigam, R Singh, M Vatsa
2013 international conference on biometrics (ICB), 1-8, 2013
1362013
Large-scale learning with AdaGrad on Spark
AT Hadgu, A Nigam, E Diaz-Aviles
2015 IEEE International Conference on Big Data (Big Data), 2828-2830, 2015
682015
Social context perception for mobile robots
A Nigam, LD Riek
2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015
432015
Harvesting social signals to inform peace processes implementation and monitoring
A Nigam, HK Dambanemuya, M Joshi, NV Chawla
Big data 5 (4), 337-355, 2017
222017
Link prediction in a semi-bipartite network for recommendation
A Nigam, NV Chawla
Intelligent Information and Database Systems: 8th Asian Conference, ACIIDS …, 2016
152016
ONE-M: Modeling the Co-evolution of Opinions and Network Connections
A Nigam, K Shin, A Bahulkar, B Hooi, D Hachen, BK Szymanski, ...
132018
Connecting the Dots to Infer Followers’ Topical Interest on Twitter
A Nigam, S Aguinaga, NV Chawla
102016
Characterizing online health and wellness information consumption: A study
A Nigam, RA Johnson, D Wang, NV Chawla
Information Fusion 46, 33-43, 2019
82019
Recommending network connections by optimizing for two-sided implicit value of an edge
A Nigam, P Agrawal, A Jain
US Patent 11,526,786, 2022
42022
Gender prediction through synthetic resampling of user profiles using seqgans
M Syed, J Marshall, A Nigam, NV Chawla
Computational Data and Social Networks: 8th International Conference, CSoNet …, 2019
32019
Limaml: Personalization of deep recommender models via meta learning
R Wang, P Prabhakar, G Srivastava, T Wang, ZS Jalali, V Bharill, ...
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
22024
Deep representation machine learned model for heterogeneous information networks
LIU Zhanglong, A Saha, Y Xiao, KL Evans, A Jain, A Nigam
US Patent 11,941,057, 2024
2024
Recommending edges via importance aware machine learned model
P Agrawal, A Saha, Y Wang, Y Wang, E Lawrence, AN Murthy, A Nigam, ...
US Patent 11,769,048, 2023
2023
Network liquidity to engagement mapping
A Nigam, Y Tu, S Chatterjee
US Patent 11,328,369, 2022
2022
Beyond Who and What: Data Driven Approaches for User Behavior Modeling
A Nigam
University of Notre Dame, 2018
2018
Beyond Who and What: Data Driven Approaches for User Characterization
A Nigam
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
2018
Text Representation for Machine Learning Applications
A Nigam, P Tang, HK Dambanemuya, BN Xia
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