Aastha Nigam

According to our database, Aastha Nigam authored at least 11 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LiMAML: Personalization of Deep Recommender Models via Meta Learning.

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

CoRR, 2024

2019

Characterizing online health and wellness information consumption: A study.

Aastha Nigam, Reid A. Johnson, Dong Wang, Nitesh V. Chawla

Inf. Fusion, 2019

Gender Prediction Through Synthetic Resampling of User Profiles Using SeqGANs.

Munira Syed, Jermaine Marshall, Aastha Nigam, Nitesh V. Chawla

Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

2018

Beyond Who and What: Data Driven Approaches for User Characterization.

Aastha Nigam

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

ONE-M: Modeling the Co-evolution of Opinions and Network Connections.

Aastha Nigam, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski, Christos Faloutsos, Nitesh V. Chawla

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring.

Aastha Nigam, Henry K. Dambanemuya, Madhav Joshi, Nitesh V. Chawla

Big Data, 2017

2016

Connecting the dots to infer followers' topical interest on Twitter.

Aastha Nigam, Salvador Aguiñaga, Nitesh V. Chawla

Proceedings of the 2016 International Conference on Behavioral, 2016

Link Prediction in a Semi-bipartite Network for Recommendation.

Aastha Nigam, Nitesh V. Chawla

Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015

Social context perception for mobile robots.

Aastha Nigam, Laurel D. Riek

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Large-scale learning with AdaGrad on Spark.

Asmelash Teka Hadgu, Aastha Nigam, Ernesto Diaz-Aviles

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2013

Disguise detection and face recognition in visible and thermal spectrums.

Tejas I. Dhamecha, Aastha Nigam, Richa Singh, Mayank Vatsa

Proceedings of the International Conference on Biometrics, 2013