Wind speed forecasting using hybrid ANN-Kalman Filter techniques. - Diksha Sharma; Tek Tjing Lie (A-SSCC, 2012)

Monte Carlo Simulation of a-Se X-ray Detectors for Breast Imaging: Effect of Nearest-Neighbor Recombination Algorithm on Swank Noise. - Yuan Fang; Diksha Sharma; Andreu Badal; Karim S. Karim; Aldo Badano (Digital Mammography / IWDM, 2012)

Comparison of Experimental, mantis, and hybridmantis X-ray Response for a Breast Imaging CsI Detector. - Diksha Sharma; Aldo Badano (Digital Mammography / IWDM, 2012)

The effect of DC coefficient on mMFCC and mIMFCC for robust speaker recognition. - Diksha Sharma; Israj Ali (ICACCI, 2015)

A modified MFCC feature extraction technique For robust speaker recognition. - Diksha Sharma; Israj Ali (ICACCI, 2015)

Wind speed forecasting using ANN, ARMA and AIC hybrid to ensure power grid reliability. - Diksha Sharma; Tek Tjing Lie; Nirmal-Kumar C. Nair; Brice Vallès (ISGT Asia, 2015)

How Angry are Your Customers? Sentiment Analysis of Support Tickets that Escalate. - Colin M. Werner; Gabriel Tapuc; Lloyd Montgomery; Diksha Sharma; Sanja Dodos; Daniela E. Damian (AffectRE@RE, 2018)

Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images. - Kenny H. Cha; Nicholas Petrick; Aria Pezeshk; Christian G. Graff; Diksha Sharma; Andreu Badal; Aldo Badano; Berkman Sahiner (Computer-Aided Diagnosis, 2019)

Mammography and breast tomosynthesis simulator for virtual clinical trials. - Andreu Badal; Diksha Sharma; Christian G. Graff; Rongping Zeng; Aldo Badano (Comput. Phys. Commun., 2021)

A Comparative Study of Classical and Quantum Machine Learning Models for Sentimental Analysis. - Diksha Sharma; Parvinder Singh; Atul Kumar 001 (CoRR, 2022)

A deep learning-based integrative model for survival time prediction of head and neck squamous cell carcinoma patients. - Diksha Sharma; Deepali; Vivek Kumar Garg; Dharambir Kashyap; Neelam Goel (Neural Comput. Appl., 2022)

Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses. - Elena Sizikova; Niloufar Saharkhiz; Diksha Sharma; Miguel A. Lago; Berkman Sahiner; Jana G. Delfino; Aldo Badano (NeurIPS, 2023)

A novel hybrid artificial neural network technique for the early skin cancer diagnosis using color space conversions of original images. - Salwan Tajjour; Sonia Garg; Shyam Singh Chandel; Diksha Sharma (Int. J. Imaging Syst. Technol., 2023)

Exploring the mediating effect of intellectual capital on the relationship between ethical leadership and innovative performance. - Diksha Sharma; Meena Sharma (Bus. Process. Manag. J., 2024)

Glaucoma detection with explainable AI using convolutional neural networks based feature extraction and machine learning classifiers. - Vijaya Kumar Velpula; Diksha Sharma; Lakhan Dev Sharma; Amarjit Roy; Manas Kamal Bhuyan; Sultan Alfarhood; Mejdl S. Safran (IET Image Process., 2024)

Quantum neural networks facilitating quantum state classification. - Diksha Sharma; Vivek Balasaheb Sabale; Thirumalai M.; Atul Kumar (CoRR, 2025)

Harnessing quantum support vector machines for cross-domain classification of quantum states. - Diksha Sharma; Vivek Balasaheb Sabale; Parvinder Singh; Atul Kumar (Quantum Mach. Intell., 2025)