A systematic review on imbalanced data challenges in machine learning: Applications and solutions H Kaur, HS Pannu, AK Malhi ACM computing surveys (CSUR) 52 (4), 1-36, 2019 | 736 | 2019 |
Security of vehicular ad-hoc networks: A comprehensive survey AK Malhi, S Batra, HS Pannu Computers & Security 89, 101664, 2020 | 150 | 2020 |
Comparative analysis on cross-modal information retrieval: A review P Kaur, HS Pannu, AK Malhi Computer Science Review 39, 100336, 2021 | 105 | 2021 |
Twitter for disaster relief through sentiment analysis for COVID-19 and natural hazard crises S Behl, A Rao, S Aggarwal, S Chadha, HS Pannu International journal of disaster risk reduction 55, 102101, 2021 | 95 | 2021 |
Plant disease recognition using fractional-order Zernike moments and SVM classifier P Kaur, HS Pannu, AK Malhi Neural Computing and Applications 31, 8749-8768, 2019 | 94 | 2019 |
Multi-objective particle swarm optimization-based adaptive neuro-fuzzy inference system for benzene monitoring HS Pannu, D Singh, AK Malhi Neural computing and applications 31, 2195-2205, 2019 | 86 | 2019 |
Aspect-based sentiment analysis using deep networks and stochastic optimization R Kumar, HS Pannu, AK Malhi Neural Computing and Applications 32, 3221-3235, 2020 | 80 | 2020 |
Improved particle swarm optimization based adaptive neuro‐fuzzy inference system for benzene detection HS Pannu, D Singh, AK Malhi CLEAN–Soil, Air, Water 46 (5), 1700162, 2018 | 72 | 2018 |
Aad: Adaptive anomaly detection system for cloud computing infrastructures HS Pannu, J Liu, S Fu 2012 IEEE 31st Symposium on Reliable Distributed Systems, 396-397, 2012 | 63 | 2012 |
Efficient landsat image fusion using fuzzy and stationary discrete wavelet transform D Singh, D Garg, H Singh Pannu The Imaging Science Journal 65 (2), 108-114, 2017 | 57 | 2017 |
Deep learning based image classification for intestinal hemorrhage HS Pannu, S Ahuja, N Dang, S Soni, AK Malhi Multimedia Tools and Applications 79, 21941-21966, 2020 | 49 | 2020 |
A hybrid anomaly detection framework in cloud computing using one-class and two-class support vector machines S Fu, J Liu, H Pannu Advanced Data Mining and Applications: 8th International Conference, ADMA …, 2012 | 49 | 2012 |
RETRACTED ARTICLE: Machine learning ensemble for neurological disorders H Kaur, AK Malhi, HS Pannu Neural Computing & Applications 32 (16), 12697-12714, 2020 | 40 | 2020 |
Explaining machine learning-based classifications of in-vivo gastral images A Malhi, T Kampik, H Pannu, M Madhikermi, K Främling 2019 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2019 | 40 | 2019 |
A self-evolving anomaly detection framework for developing highly dependable utility clouds HS Pannu, J Liu, S Fu 2012 IEEE Global Communications Conference (GLOBECOM), 1605-1610, 2012 | 37 | 2012 |
Development of an adaptive neuro fuzzy inference system based vehicular traffic noise prediction model D Singh, R Upadhyay, HS Pannu, D Leray Journal of Ambient Intelligence and Humanized Computing 12, 2685-2701, 2021 | 36 | 2021 |
Comprehensive study of continuous orthogonal moments—A systematic review P Kaur, HS Pannu, AK Malhi ACM Computing Surveys (CSUR) 52 (4), 1-30, 2019 | 22 | 2019 |
Detection and diabetic retinopathy grading using digital retinal images A Malhi, R Grewal, HS Pannu International Journal of Intelligent Robotics and Applications 7 (2), 426-458, 2023 | 21 | 2023 |
Deep learning-based explainable target classification for synthetic aperture radar images HS Pannu, A Malhi 2020 13th international conference on human system interaction (HSI), 34-39, 2020 | 21 | 2020 |
AFD: Adaptive failure detection system for cloud computing infrastructures HS Pannu, J Liu, Q Guan, S Fu 2012 IEEE 31st International Performance Computing and Communications …, 2012 | 21 | 2012 |