Breast cancer histology images classification: Training from scratch or transfer learning? - Shallu Sharma; Rajesh Mehra (ICT Express, 2018)

Blockchain Based Decentralized Learning and Resource Sharing. - Shallu Sharma; Ranbir Singh Batth (SOFA, 2020)

Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images - a Comparative Insight. - Shallu Sharma; Rajesh Mehra (J. Digit. Imaging, 2020)

Effect of layer-wise fine-tuning in magnification-dependent classification of breast cancer histopathological image. - Shallu Sharma; Rajesh Mehra (Vis. Comput., 2020)

Optimised CNN in conjunction with efficient pooling strategy for the multi-classification of breast cancer. - Shallu Sharma; Rajesh Mehra; Sumit Kumar (IET Image Process., 2021)

Sub-classification of invasive and non-invasive cancer from magnification independent histopathological images using hybrid neural networks. - Sumit Kumar; Shallu Sharma (Evol. Intell., 2022)

The Xception model: A potential feature extractor in breast cancer histology images classification. - Shallu Sharma; Sumit Kumar (ICT Express, 2022)

A Comprehensive Report on Machine Learning-based Early Detection of Alzheimer's Disease using Multi-modal Neuroimaging Data. - Shallu Sharma; Pravat Kumar Mandal (ACM Comput. Surv., 2023)

Enhancing Legal Document Summarization for Professionals: An Extractive Approach. - Manasvi Kalyan; Pratik Dwivedi; Shallu Sharma (ICCCNT, 2024)

An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images. - Shallu Sharma; Sumit Kumar; Manoj Sharma; Ashish Kalkal (Neural Comput. Appl., 2024)

Medicinal plants recognition using heterogeneous leaf features: an intelligent approach. - Manoj Sharma; Naresh Kumar 002; Shallu Sharma; Sumit Kumar; Sukhjinder Singh; Seema Mehandia (Multim. Tools Appl., 2024)