Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction RD Shirwaikar, D Acharya, K Makkithaya, M Surulivelrajan, S Srivastava Artificial intelligence in medicine 98, 59-76, 2019 | 35 | 2019 |
Machine learning techniques for neonatal apnea prediction RD Shirwaikar, DU Acharya, K Makkithaya, M Surulivelrajan, LES Lewis Journal of Artificial Intelligence 9 (1-3), 2016 | 21 | 2016 |
Data mining on educational domain N Rajadhyax, R Shirwaikar International Journal of Advanced Studies in Computers, Science and …, 2012 | 13 | 2012 |
Estimation of caffeine regimens: a machine learning approach for enhanced clinical decision making at a neonatal intensive care unit (NICU) RD Shirwaikar, D Acharya, K Makkithaya, S Mallayaswamy, LES Lewis Critical Reviews™ in Biomedical Engineering 46 (2), 2018 | 12 | 2018 |
A survey on brain tumor detection using machine learning RD Shirwaikar, K Ramesh, A Hiremath 2021 International Conference on Forensics, Analytics, Big Data, Security …, 2021 | 11 | 2021 |
Partition and hierarchical based clustering techniques for analysis of neonatal data N Mago, RD Shirwaikar, U Dinesh Acharya, K Govardhan Hegde, ... Proceedings of International Conference on Cognition and Recognition: ICCR …, 2018 | 7 | 2018 |
Prediction of apnea of prematurity in neonates using support vector machines and random forests N Mago, S Srivastava, RD Shirwaikar, UD Acharya, LES Lewis, ... 2016 2nd International Conference on Contemporary Computing and Informatics …, 2016 | 7 | 2016 |
Social media data extraction for disaster management aid using deep learning techniques T Vishwanath, RD Shirwaikar, WM Jaiswal, M Yashaswini Remote Sensing Applications: Society and Environment 30, 100961, 2023 | 6 | 2023 |
Supervised learning techniques for analysis of neonatal data RD Shirwaikar, N Mago, D Acharya, K Makkithaya 2016 2nd International Conference on Applied and Theoretical Computing and …, 2016 | 6 | 2016 |
K-means clustering method for the analysis of log data R Shirwaikar, C Bhandari Int. Conf. on Advances in Signal Processing and Communication, 2013 | 5 | 2013 |
Design framework for a data mart in the neonatal intensive care unit RD Shirwaikar, D Acharya, K Makkithaya, S Mallayaswamy, LES Lewis Critical Reviews™ in Biomedical Engineering 46 (3), 2018 | 3 | 2018 |
Classification of Histopathological Images from Breast Cancer Patients Using Deep Learning: A Comparative Analysis LA Thalakottor, RD Shirwaikar, PT Pothamsetti, LM Mathews Critical Reviews™ in Biomedical Engineering 51 (4), 2023 | 2 | 2023 |
Has Machine Learning Enhanced the Diagnosis of Autism Spectrum Disorder? RD Shirwaikar, I Sarwari, M Najam, HM Shama Critical Reviews™ in Biomedical Engineering 51 (1), 2023 | 2 | 2023 |
Estimation of Aminophylline effectiveness at Neonatal Intensive Care Unit (NICU) using Artificial Intelligence. RD Shirwaikar, K Makkithaya Malaysian Journal of Medicine & Health Sciences 16 (8), 2020 | 2 | 2020 |
A comparative study: BIRCH and clique N Shetty, R Shirwaikar Int. J. Eng. Res. Technol 2, 2019-2023, 2013 | 2 | 2013 |
Optical wireless communication for 6g networks RD Shirwaikar, HM Shama, K Ramesh Information Systems for Intelligent Systems: Proceedings of ISBM 2022, 361-377, 2023 | 1 | 2023 |
CNN-Based Video Surveillance for Fire and Localization Detection RD Shirwaikar, L Mathews 2022 Fourth International Conference on Cognitive Computing and Information …, 2022 | 1 | 2022 |
A review on Privacy and Security in 6G Networks RD Shirwaikar, AM Faisal, A Singh, DD Shanbhag 2021 International Conference on Forensics, Analytics, Big Data, Security …, 2021 | 1 | 2021 |
3D segmentation of brain tumour RD Shirwaikar, K Ramesh, AM Faisal, M Jeshwanth, A Raghav International Journal of Engineering Systems Modelling and Simulation 15 (2 …, 2024 | | 2024 |
A novel application to develop illness severity scores for predicting mortality and morbidities in a Neonatal Intensive Care Unit (NICU) RD Shirwaikar, UD Acharya, YE Lamgaonkar, SM Lal Journal of Physics: Conference Series 2571 (1), 012018, 2023 | | 2023 |