An improved cuckoo search based extreme learning machine for medical data classification P Mohapatra, S Chakravarty, PK Dash Swarm and Evolutionary Computation 24, 25-49, 2015 | 211 | 2015 |
Microarray medical data classification using kernel ridge regression and modified cat swarm optimization based gene selection system P Mohapatra, S Chakravarty, PK Dash Swarm and Evolutionary Computation 28, 144-160, 2016 | 160 | 2016 |
A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices S Chakravarty, PK Dash Applied Soft Computing 12 (2), 931-941, 2012 | 136 | 2012 |
Leaf disease detection using support vector machine D Das, M Singh, SS Mohanty, S Chakravarty 2020 international conference on communication and signal processing (ICCSP …, 2020 | 102 | 2020 |
A deep learning method to forecast COVID-19 outbreak S Dash, S Chakravarty, SN Mohanty, CR Pattanaik, S Jain New Generation Computing 39 (3), 515-539, 2021 | 34 | 2021 |
RHSOFS: feature selection using the rock hyrax swarm optimization algorithm for credit card fraud detection system BK Padhi, S Chakravarty, B Naik, RM Pattanayak, H Das Sensors 22 (23), 9321, 2022 | 33 | 2022 |
Smart crop recommender system-a machine learning approach RK Ray, SK Das, S Chakravarty 2022 12th International Conference on Cloud Computing, Data Science …, 2022 | 28 | 2022 |
Hyperspectral image classification using spectral angle mapper S Chakravarty, BK Paikaray, R Mishra, S Dash 2021 IEEE International Women in Engineering (WIE) Conference on Electrical …, 2021 | 28 | 2021 |
Feature selection and evaluation of permission-based android malware detection S Chakravarty 2020 4th International conference on trends in electronics and informatics …, 2020 | 26 | 2020 |
Forecasting stock market indices using hybrid network S Chakravarty, PK Dash 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC …, 2009 | 26 | 2009 |
Swarm optimization and machine learning applied to PE malware detection towards cyber threat intelligence SJ Kattamuri, RKV Penmatsa, S Chakravarty, VSP Madabathula Electronics 12 (2), 342, 2023 | 23 | 2023 |
A systematic review on approach and analysis of bone fracture classification SR Karanam, Y Srinivas, S Chakravarty Materials Today: Proceedings 80, 2557-2562, 2023 | 20 | 2023 |
Dynamic filter weights neural network model integrated with differential evolution for day-ahead price forecasting in energy market PKD Sujata Chakravarty Expert Systems with Applications 38, 10974–10982, 2011 | 20 | 2011 |
Diabetic retinopathy image classification using support vector machine MK Behera, S Chakravarty 2020 international conference on computer science, engineering and …, 2020 | 19 | 2020 |
A systematic approach to diagnosis and categorization of bone fractures in X-Ray imagery SR Karanam, Y Srinivas, S Chakravarty International Journal of Healthcare Management, 1-12, 2022 | 17 | 2022 |
Modified PSO based feature selection for Microarray data classification P Mohapatra, S Chakravarty 2015 IEEE Power, Communication and Information Technology Conference (PCITC …, 2015 | 17 | 2015 |
Performance assessment of different sustainable energy systems using multiple-criteria decision-making model and self-organizing maps S Dash, S Chakravarty, NC Giri, U Ghugar, G Fotis Technologies 12 (3), 42, 2024 | 15 | 2024 |
Machine learning-enhanced multi-dimensional co-optimization of sub-10nm technology node options A Ceyhan, J Quijas, S Jain, HY Liu, WE Gifford, S Chakravarty 2019 IEEE International Electron Devices Meeting (IEDM), 36.6. 1-36.6. 4, 2019 | 15 | 2019 |
Stock market prediction using machine learning techniques S Agrawal, D Thakkar, D Soni, K Bhimani, C Patel International Journal of Scientific Research in Computer Science …, 2019 | 15 | 2019 |
A supervised approach to musculoskeletal imaging fracture detection and classification using deep learning algorithms SR Karanam, Y Srinivas, S Chakravarty Computer Assisted Methods in Engineering and Science 30 (3), 369-385, 2023 | 14 | 2023 |