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Aastha Nigam
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2020 – today
- 2024
- [i1]Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, Sathiya Keerthi Selvaraj, Ajith Muralidharan:
LiMAML: Personalization of Deep Recommender Models via Meta Learning. CoRR abs/2403.00803 (2024)
2010 – 2019
- 2019
- [j2]Aastha Nigam, Reid A. Johnson
, Dong Wang
, Nitesh V. Chawla
:
Characterizing online health and wellness information consumption: A study. Inf. Fusion 46: 33-43 (2019) - [c8]Munira Syed, Jermaine Marshall, Aastha Nigam, Nitesh V. Chawla
:
Gender Prediction Through Synthetic Resampling of User Profiles Using SeqGANs. CSoNet 2019: 363-370 - 2018
- [c7]Aastha Nigam, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski
, Christos Faloutsos, Nitesh V. Chawla
:
ONE-M: Modeling the Co-evolution of Opinions and Network Connections. ECML/PKDD (2) 2018: 122-140 - [c6]Aastha Nigam:
Beyond Who and What: Data Driven Approaches for User Characterization. WSDM 2018: 753-754 - 2017
- [j1]Aastha Nigam, Henry K. Dambanemuya
, Madhav Joshi
, Nitesh V. Chawla
:
Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring. Big Data 5(4): 337-355 (2017) - 2016
- [c5]Aastha Nigam, Nitesh V. Chawla
:
Link Prediction in a Semi-bipartite Network for Recommendation. ACIIDS (2) 2016: 127-135 - [c4]Aastha Nigam, Salvador Aguiñaga, Nitesh V. Chawla
:
Connecting the dots to infer followers' topical interest on Twitter. BESC 2016: 1-6 - 2015
- [c3]Asmelash Teka Hadgu, Aastha Nigam, Ernesto Diaz-Aviles:
Large-scale learning with AdaGrad on Spark. IEEE BigData 2015: 2828-2830 - [c2]Aastha Nigam, Laurel D. Riek:
Social context perception for mobile robots. IROS 2015: 3621-3627 - 2013
- [c1]Tejas I. Dhamecha, Aastha Nigam, Richa Singh
, Mayank Vatsa
:
Disguise detection and face recognition in visible and thermal spectrums. ICB 2013: 1-8
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