Amit Kumar Sah

According to our database, Amit Kumar Sah authored at least 6 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

ADA: An Attention-Based Data Augmentation Approach to Handle Imbalanced Textual Datasets.

Amit Kumar Sah, Muhammad Abulaish

Proceedings of the Neural Information Processing - 29th International Conference, 2022

DeepADA: An Attention-Based Deep Learning Framework for Augmenting Imbalanced Textual Datasets.

Amit Kumar Sah, Muhammad Abulaish

Proceedings of the 19th International Conference on Natural Language Processing, 2022

2021

DeepSBD: A Deep Neural Network Model With Attention Mechanism for SocialBot Detection.

Mohd Fazil, Amit Kumar Sah, Muhammad Abulaish

IEEE Trans. Inf. Forensics Secur., 2021

2020

A Hierarchical Attention-Based Neural Network Model for Socialbot Detection in OSN.

Mohd Fazil, Amit Kumar Sah, Muhammad Abulaish

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

2019

SentiLangN: A Language-Neutral Graph-Based Approach for Sentiment Analysis in Microblogging Data.

Muhammad Abulaish, Mohammad Rahimi, Habeebullah Ebrahemi, Amit Kumar Sah

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

A Text Data Augmentation Approach for Improving the Performance of CNN.

Muhammad Abulaish, Amit Kumar Sah

Proceedings of the 11th International Conference on Communication Systems & Networks, 2019