| A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities Y Song, T Wang, P Cai, SK Mondal, JP Sahoo ACM Computing Surveys 55 (13s), 1-40, 2023 | 418 | 2023 |
| A Review of Contemporary E-voting: Requirements, Technology, Systems and Usability KH Wang, SK Mondal, K Chan, X Xie Data Science and Pattern Recognition 1 (1), 31-47, 2017 | 130 | 2017 |
| Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels Z Zhang, HN Dai, J Zhou, SK Mondal, MM García, H Wang Expert Systems with Applications 183, 115378, 2021 | 98 | 2021 |
| Kubernetes in IT administration and serverless computing: An empirical study and research challenges SK Mondal, R Pan, HMD Kabir, T Tian, HN Dai The Journal of Supercomputing, 1-51, 2022 | 71 | 2022 |
| Uncertainty-aware decisions in cloud computing: Foundations and future directions HMD Kabir, A Khosravi, SK Mondal, M Rahman, S Nahavandi, R Buyya ACM Computing Surveys (CSUR) 54 (4), 1-30, 2021 | 60 | 2021 |
| Change-based test script maintenance for android apps N Chang, L Wang, Y Pei, SK Mondal, X Li 2018 IEEE International Conference on Software Quality, Reliability and …, 2018 | 38 | 2018 |
| Machine translation and its evaluation: a study SK Mondal, H Zhang, HMD Kabir, K Ni, HN Dai Artificial Intelligence Review 56 (9), 10137-10226, 2023 | 27 | 2023 |
| Defects per million computation in service-oriented environments SK Mondal, X Yin, JK Muppala, JA Lopez, KS Trivedi IEEE transactions on services computing 8 (1), 32-46, 2013 | 23 | 2013 |
| A resilient auction framework for deadline-aware jobs in cloud spot market AS Sabyasachi, HMD Kabir, AM Abdelmoniem, SK Mondal 2017 IEEE 36th Symposium on Reliable Distributed Systems (SRDS), 247-249, 2017 | 20 | 2017 |
| Aleatory-aware deep uncertainty quantification for transfer learning HMD Kabir, S Khanam, F Khozeimeh, A Khosravi, SK Mondal, ... Computers in Biology and Medicine 143, 105246, 2022 | 17 | 2022 |
| SpinalXNet: Transfer learning with modified fully connected layer for X-ray image classification K Kumar, S Khanam, MMI Bhuiyan, MRC Qazani, SK Mondal, H Asadi, ... 2021 IEEE international conference on recent advances in systems science and …, 2021 | 16 | 2021 |
| Reinforcement learning-driven deep question generation with rich semantics M Guan, SK Mondal, HN Dai, H Bao Information Processing & Management 60 (2), 103232, 2023 | 14 | 2023 |
| BLB-gcForest: A high-performance distributed deep forest with adaptive sub-forest splitting Z Chen, T Wang, H Cai, SK Mondal, JP Sahoo IEEE Transactions on Parallel and Distributed Systems 33 (11), 3141-3152, 2021 | 12 | 2021 |
| A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities (2022) Y Song, T Wang, SK Mondal, JP Sahoo arXiv preprint arxiv:2205.06743, 0 | 12 | |
| Computing defects per million in cloud caused by virtual machine failures with replication SK Mondal, JK Muppala, F Machida, KS Trivedi 2014 IEEE 20th Pacific Rim International Symposium on Dependable Computing …, 2014 | 10 | 2014 |
| Virtual machine replication on achieving energy-efficiency in a cloud SK Mondal, JK Muppala, F Machida Electronics 5 (3), 37, 2016 | 9 | 2016 |
| Establishing Trust in Public Clouds JK Muppala, D Shukla, SK Mondal, P Patil J Inform Tech Softw Eng 2, e107, 2012 | 9 | 2012 |
| Toward optimal load prediction and customizable autoscaling scheme for kubernetes SK Mondal, X Wu, HMD Kabir, HN Dai, K Ni, H Yuan, T Wang Mathematics 11 (12), 2675, 2023 | 8 | 2023 |
| On dependability, cost and security trade-off in cloud data centers SK Mondal, AS Sabyasachi, JK Muppala 2017 IEEE 22nd Pacific Rim International Symposium on Dependable Computing …, 2017 | 8 | 2017 |
| Energy modeling of virtual machine replication schemes with checkpointing in data centers SK Mondal, JK Muppala 2014 IEEE Fourth International Conference on Big Data and Cloud Computing …, 2014 | 7 | 2014 |
H M Dipu KabirCharles Sturt UniversityE-mailová adresa ověřena na: connect.ust.hk