| Random forest modeling for network intrusion detection system N Farnaaz, MA Jabbar Procedia Computer Science 89, 213-217, 2016 | 598 | 2016 |
| Classification of heart disease using k-nearest neighbor and genetic algorithm BL Deekshatulu, P Chandra Procedia technology 10, 85-94, 2013 | 452 | 2013 |
| Machine learning in healthcare: A review K Shailaja, B Seetharamulu, MA Jabbar 2018 Second international conference on electronics, communication and …, 2018 | 376 | 2018 |
| Heart disease prediction using lazy associative classification MA Jabbar, BL Deekshatulu, P Chandra 2013 International Mutli-Conference on Automation, Computing, Communication …, 2013 | 177* | 2013 |
| Heart disease prediction using lazy associative classification MA Jabbar, BL Deekshatulu, P Chandra 2013 International Mutli-Conference on Automation, Computing, Communication …, 2013 | 163 | 2013 |
| Classification of heart disease using artificial neural network and feature subset selection MA Jabbar, BL Deekshatulu, P Chandra Global Journal of Computer Science and Technology Neural & Artificial …, 2013 | 144 | 2013 |
| RFAODE: A novel ensemble intrusion detection system MA Jabbar, R Aluvalu Procedia computer science 115, 226-234, 2017 | 118 | 2017 |
| Heart disease prediction system based on hidden naïve bayes classifier MA Jabbar, S Samreen IEEE 1 (1), 1-5, 2016 | 109 | 2016 |
| Prediction of heart disease using ensemble learning and Particle Swarm Optimization I Yekkala, S Dixit, MA Jabbar 2017 International Conference On Smart Technologies For Smart Nation …, 2017 | 88 | 2017 |
| Prediction of risk score for heart disease using associative classification and hybrid feature subset selection P Chandra, BL Deekshatulu 2012 12th international conference on intelligent systems design and …, 2012 | 79 | 2012 |
| Cluster based association rule mining for heart attack prediction MA Jabbar, P Chandra, BL Deekshatulu Journal of Theoretical and Applied Information Technology 32 (2), 196-201, 2011 | 70 | 2011 |
| Prediction of heart disease using random forest and feature subset selection MA Jabbar, BL Deekshatulu, P Chandra Innovations in Bio-Inspired Computing and Applications: Proceedings of the …, 2016 | 68 | 2016 |
| Cluster based ensemble classification for intrusion detection system MA Jabbar, R Aluvalu, SSS Reddy Proceedings of the 9th international conference on machine learning and …, 2017 | 65 | 2017 |
| Intelligent heart disease prediction system using random forest and evolutionary approach MA Jabbar, BL Deekshatulu, P Chandra Journal of Network and Innovative Computing 4 (1), 175-184, 2016 | 65 | 2016 |
| A systematic review on AI/ML approaches against COVID-19 outbreak O Dogan, S Tiwari, MA Jabbar, S Guggari Complex & Intelligent Systems 7, 2655-2678, 2021 | 64 | 2021 |
| Cyber physical systems (CPS): Security issues, challenges and solutions CK Keerthi, MA Jabbar, B Seetharamulu 2017 IEEE International Conference on Computational Intelligence and …, 2017 | 62 | 2017 |
| Breast cancer data classification using ensemble machine learning. MA Jabbar Engineering & Applied Science Research 48 (1), 2021 | 60 | 2021 |
| Intelligent Network Intrusion Detection System using Data Mining Techniques A Sultana, MA Jabbar 2nd International Conference on Applied and Theoretical Computing and …, 2016 | 59 | 2016 |
| Lung Cancer prediction using machine learning: A comprehensive approach SS Raoof, MA Jabbar, SA Fathima 2020 2nd International conference on innovative mechanisms for industry …, 2020 | 57 | 2020 |
| Prediction of heart disease using k-nearest neighbor and particle swarm optimization MA Jabbar Biomed. Res 28 (9), 4154-4158, 2017 | 57 | 2017 |
Bulusu DeekshatuluIDRBTVerified email at idrbt.ac.in
