| Non-local means image denoising using Shapiro-Wilk similarity measure W Yamanappa, PV Sudeep, MK Sabu, J Rajan IEEE Access 6, 66914-66922, 2018 | 18 | 2018 |
| A hybrid feature selection approach using artificial bee colony and genetic algorithm MG Bindu, MK Sabu 2020 Advanced Computing and Communication Technologies for High Performance …, 2020 | 13 | 2020 |
| Computer-aided diagnosis of thyroid nodule from ultrasound images using transfer learning from deep convolutional neural network models OA Ajilisa, VP Jagathyraj, MK Sabu 2020 Advanced Computing and Communication Technologies for High Performance …, 2020 | 10 | 2020 |
| A novel relay selection algorithm using ant colony optimization with artificial noise for secrecy enhancement in cooperative networks PM Shemi, MG Jibukumar, MK Sabu International Journal of Communication Systems 31 (14), e3739, 2018 | 9 | 2018 |
| A cooperative deep learning model for stock market prediction using deep autoencoder and sentiment analysis KS Rekha, MK Sabu PeerJ Computer Science 8, e1158, 2022 | 8 | 2022 |
| Factors influencing the adoption of computerized medical diagnosing system for tuberculosis RO Panicker, MK Sabu International Journal of Information Technology 12 (2), 503-512, 2020 | 7 | 2020 |
| Introduction to medical image synthesis using deep learning: a review MS Meharban, MK Sabu 2021 7th International Conference on Advanced Computing and Communication …, 2021 | 6 | 2021 |
| Automatic Detection of Tuberculosis bacilli from Conventional Sputum Smear Microscopic Images Using Densely Connected Convolutional Networks RO Panicker, MK Sabu SN Computer Science 3 (4), 263, 2022 | 5 | 2022 |
| A lightweight convolutional neural network model for tuberculosis bacilli detection from microscopic sputum smear images RO Panicker, SJ Pawan, J Rajan, MK Sabu Machine learning for healthcare applications, 343-351, 2021 | 5 | 2021 |
| Rough Set Approaches for Mining Incomplete Information Systems MK Sabu, G Raju Advanced Intelligent Computing Theories and Applications. With Aspects of …, 2008 | 5 | 2008 |
| Segmentation of thyroid nodules from ultrasound images using convolutional neural network architectures OA Ajilisa, VP Jagathy Raj, MK Sabu Journal of Intelligent & Fuzzy Systems 43 (1), 687-705, 2022 | 3 | 2022 |
| Tuberculosis detection from conventional sputum smear microscopic images using machine learning techniques RO Panicker, B Soman, MK Sabu Hybrid Computational Intelligence, 63-80, 2019 | 3 | 2019 |
| FEATURE SELECTION: ANovel APPROACH FOR THE PREDICTION OF LEARNING DISABILITIES IN SCHOOL-AGED CHILDREN MK Sabu CS & IT Conference Proceedings 5 (1), 2015 | 3 | 2015 |
| A Deep Learning Framework for the Characterization of Thyroid Nodules from Ultrasound Images Using Improved Inception Network and Multi-Level Transfer Learning OA Ajilisa, VP Jagathy Raj, MK Sabu Diagnostics 13 (14), 2463, 2023 | 2 | 2023 |
| An artificial bee colony-based framework for multi-objective optimization of three-way decisions with probabilistic rough sets TV Soumya, MK Sabu Journal of Intelligent & Fuzzy Systems 44 (1), 1349-1367, 2023 | 2 | 2023 |
| CLASSIFICATION OF COVID-19 PATIENT'S CHEST X-RAY IMAGES USING MACHINE LEARNING TECHNIQUES-A COMPARATIVE ANALYSIS AS MOL, M Sabu Advances and Applications in Mathematical Sciences, 3017-3026, 2021 | 2 | 2021 |
| Gaboost: a clustering based undersampling algorithm for highly imbalanced datasets using genetic algorithm OA Ajilisa, VP Jagathyraj, MK Sabu Innovations in Bio-Inspired Computing and Applications: Proceedings of the …, 2019 | 2 | 2019 |
| A rough set based approach for ranking decision rules MK Sabu, G Raju Advances in Computing and Communications: First International Conference …, 2011 | 2 | 2011 |
| Dimensionality Reduction–‘A Rough Set Approach MK Sabu, G Raju International Journal of Machine Intelligence ISSN, 0975-2927, 2011 | 2 | 2011 |
| Optimisation of Thresholds in Probabilistic Rough Sets with Artificial Bee Colony Algorithm TV Soumya, MK Sabu Fuzzy Information and Engineering 13 (4), 522-539, 2021 | 1 | 2021 |
