A Collaborative Filtering Framework Based on Fuzzy Case-Based Reasoning. - Shweta Tyagi; Kamal Kant Bharadwaj (SocProS (1), 2011)

Enhanced New User Recommendations based on Quantitative Association Rule Mining. - Shweta Tyagi; Kamal Kant Bharadwaj (ANT/MobiWIS, 2012)

Enhancing collaborative filtering recommendations by utilizing multi-objective particle swarm optimization embedded association rule mining. - Shweta Tyagi; Kamal Kant Bharadwaj (Swarm Evol. Comput., 2013)

A Particle Swarm Optimization Approach to Fuzzy Case-based Reasoning in the Framework of Collaborative Filtering. - Shweta Tyagi; Kamal Kant Bharadwaj (Int. J. Rough Sets Data Anal., 2014)

A hybrid knowledge-based approach to collaborative filtering for improved recommendations. - Shweta Tyagi; Kamal Kant Bharadwaj (Int. J. Knowl. Based Intell. Eng. Syst., 2014)

Hybrid fuzzy collaborative filtering: an integration of item-based and user-based clustering techniques. - Pratibha Yadav; Shweta Tyagi (Int. J. Comput. Sci. Eng., 2017)

CSE-GAN: A 3D conditional generative adversarial network with concurrent squeeze-and-excitation blocks for lung nodule segmentation. - Shweta Tyagi; Sanjay N. Talbar (Comput. Biol. Medicine, 2022)

LiM-Net: Lightweight multi-level multiscale network with deep residual learning for automatic liver segmentation in CT images. - Devidas T. Kushnure; Shweta Tyagi; Sanjay N. Talbar (Biomed. Signal Process. Control., 2023)

LCSCNet: A multi-level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and-excitation module. - Shweta Tyagi; Sanjay N. Talbar (Biomed. Signal Process. Control., 2023)

An amalgamation of vision transformer with convolutional neural network for automatic lung tumor segmentation. - Shweta Tyagi; Devidas T. Kushnure; Sanjay N. Talbar (Comput. Medical Imaging Graph., 2023)

Predicting lung cancer treatment response from CT images using deep learning. - Shweta Tyagi; Sanjay N. Talbar (Int. J. Imaging Syst. Technol., 2023)