A Survey of Deep Learning Methods for Relation Extraction. - Shantanu Kumar (CoRR, 2017)

Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi. - Rajesh Kumar Mundotiya; Shantanu Kumar; Ajeet Kumar; Umesh Chandra Chaudhary; Supriya Chauhan; Swasti Mishra; Praveen Gatla; Anil Kumar Singh 001 (CoRR, 2020)

Enhanced Fraud Detection in Financial Transactions Using Hyperparameter-Tuned Random Forests. - Shantanu Kumar (ICCCNT, 2024)

Adaptive Fusion-Enhanced CNN Architectures for Advanced Image Classification in E-Commerce. - Shantanu Kumar (ICCCNT, 2024)

Dynamic Feature Scaling in Time Series Forecasting: A Hybrid Machine Learning Framework for Electricity Pricing. - Shantanu Kumar (ICCCNT, 2024)

Fine-Tuning Llama 3 for Sentiment Analysis: Leveraging AWS Cloud for Enhanced Performance. - Shantanu Kumar; Shruti Singh (SN Comput. Sci., 2024)

Mixture-of-Personas Language Models for Population Simulation. - Ngoc Bui; Hieu Trung Nguyen; Shantanu Kumar; Julian Theodore; Weikang Qiu; Viet Anh Nguyen; Rex Ying (ACL (Findings), 2025)

Fooling the Forgers: A Multi-Stage Framework for Audio Deepfake Detection. - Gautam Siddharth Kashyap; Zohaib Hasan Siddiqui; Mohammad Anas Azeez; Rafiq Ali; Shantanu Kumar; Navin Kamuni; Jiechao Gao (ICASSP, 2025)

Leveraging Cloud Resources for Distributed Training of Residual CNNs in Aerial Image Classification. - Shantanu Kumar; Shruti Singh; Narendra Kumar Dewangan (IEEE Access, 2025)

Efficient Distributed Training through Gradient Compression with Sparsification and Quantization Techniques. - Shruti Singh; Shantanu Kumar (CoRR, 2025)

Machine Learning-Driven Volumetric Cloud Rendering: Procedural Shader Optimization and Dynamic Lighting in Unreal Engine for Realistic Atmospheric Simulation. - Shruti Singh; Shantanu Kumar (CoRR, 2025)