Detecting Side Effects of Adverse Drug Reactions Through Drug-Drug Interactions Using Graph Neural Networks and Self-Supervised Learning. - Omkumar Chandraumakantham; Srinitish Srinivasan; Varenya Pathak (IEEE Access, 2024)

Colour and Brush Stroke Pattern Recognition in Abstract Art using Modified Deep Convolutional Generative Adversarial Networks. - Srinitish Srinivasan; Varenya Pathak (CoRR, 2024)

Autoencoder based approach for the mitigation of spurious correlations. - Srinitish Srinivasan; Karthik Seemakurthy (CoRR, 2024)

Enhancing IoT based Plant Health Monitoring through Advanced Human Plant Interaction using Large Language Models and Mobile Applications. - Kriti Agarwal; Samhruth Ananthanarayanan; Srinitish Srinivasan; Abirami S (CoRR, 2024)

Enhancing colour and brush stroke pattern recognition for stable abstract art generation using modified deep convolutional GANs. - Srinitish Srinivasan; Varenya Pathak; Abirami S; A. Sherly Alphonse; Sakthivel Gnanasekaran (Intell. Decis. Technol., 2025)

Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning. - Srinitish Srinivasan; Omkumar CU (CoRR, 2025)

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation. - Jaskaran Singh Walia; Aarush Sinha; Srinitish Srinivasan; Srihari Unnikrishnan (CoRR, 2025)

Lorentzian Graph Isomorphic Network. - Srinitish Srinivasan; Omkumar CU (CoRR, 2025)

Crop weed separation through image-level segmentation: an ensemble of modified U-Net and encoder-decoder. - Sannasi Ganapathy; Srinitish Srinivasan (Neural Comput. Appl., 2025)