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ORCIDSubrota K. Mondal
Person information
- affiliation: Macau University of Science and Technology, Macau SAR, China
- affiliation (former): The Hong Kong Polytechnic University, Hong Kong, China
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2020 – today
- 2024
[j12]Hussain Mohammed Dipu Kabir
, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty aware neural network from similarity and sensitivity. Appl. Soft Comput. 149(Part A): 111027 (2024)- [j11]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Syed Bahauddin Alam, U. Rajendra Acharya:
Transfer learning with spinally shared layers. Appl. Soft Comput. 163: 111908 (2024) - [j10]Kan Ni, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Tan Tian, Hong-Ning Dai:
Toward security quantification of serverless computing. J. Cloud Comput. 13(1): 140 (2024) - [c14]Yanbo Huang, Subrota Kumar Mondal, Yuning Cheng, Chengwei Wang:
On Optimization of Traditional Chinese Character Recognition. SSE 2024: 293-302 - [c13]Fansong Dai, Subrota Kumar Mondal:
Toward Automatic Number Plate Recognition: A Deep Learning Based Study for Macau. SSE 2024: 303-312 - 2023
- [j9]Subrota Kumar Mondal, Haoxi Zhang, Hussain Mohammed Dipu Kabir, Kan Ni, Hong-Ning Dai:
Machine translation and its evaluation: a study. Artif. Intell. Rev. 56(9): 10137-10226 (2023) - [j8]Yisheng Song, Ting Wang, Puyu Cai, Subrota K. Mondal, Jyoti Prakash Sahoo:
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities. ACM Comput. Surv. 55(13s): 271:1-271:40 (2023) - [j7]Menghong Guan, Subrota Kumar Mondal, Hong-Ning Dai, Haiyong Bao:
Reinforcement learning-driven deep question generation with rich semantics. Inf. Process. Manag. 60(2): 103232 (2023) - [c12]Jiaze He, Wenqing Zhao, Ziruo Li, Jin Huang, Ping Li, Lei Zhu, Bin Sheng, Subrota Kumar Mondal:
Reference-Based Line Drawing Colorization Through Diffusion Model. CGI 2023: 362-372 - [i3]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shadi Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty Aware Neural Network from Similarity and Sensitivity. CoRR abs/2304.14925 (2023) - 2022
- [j6]Hussain Mohammed Dipu Kabir, Sadia Khanam, Fahime Khozeimeh, Abbas Khosravi, Subrota Kumar Mondal, Saeid Nahavandi, U. Rajendra Acharya:
Aleatory-aware deep uncertainty quantification for transfer learning. Comput. Biol. Medicine 143: 105246 (2022) - [j5]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Subrota Kumar Mondal, Mustaneer Rahman, Saeid Nahavandi, Rajkumar Buyya:
Uncertainty-aware Decisions in Cloud Computing: Foundations and Future Directions. ACM Comput. Surv. 54(4): 74:1-74:30 (2022) - [j4]Subrota Kumar Mondal, Rui Pan, Hussain Mohammed Dipu Kabir, Tan Tian, Hong-Ning Dai:
Kubernetes in IT administration and serverless computing: An empirical study and research challenges. J. Supercomput. 78(2): 2937-2987 (2022) - [j3]Zexi Chen, Ting Wang, Haibin Cai, Subrota Kumar Mondal, Jyoti Prakash Sahoo:
BLB-gcForest: A High-Performance Distributed Deep Forest With Adaptive Sub-Forest Splitting. IEEE Trans. Parallel Distributed Syst. 33(11): 3141-3152 (2022) - [c11]Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. SMC 2022: 2237-2243 - [i2]Yisheng Song, Ting Wang, Subrota K. Mondal, Jyoti Prakash Sahoo:
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities. CoRR abs/2205.06743 (2022) - [i1]Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. CoRR abs/2209.09556 (2022) - 2021
- [j2]Zhuorui Zhang, Hong-Ning Dai, Junhao Zhou, Subrota Kumar Mondal, Miguel Martinez-Garcia, Hao Wang:
Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels. Expert Syst. Appl. 183: 115378 (2021) - 2020
- [c10]Subrota Kumar Mondal, Yu Pei, Hong-Ning Dai, Hussain Mohammed Dipu Kabir, Jyoti Prakash Sahoo:
Boosting UI Rendering in Android Applications. QRS Companion 2020: 285-286
2010 – 2019
- 2018
- [c9]Nana Chang, Linzhang Wang, Yu Pei, Subrota K. Mondal, Xuandong Li:
Change-Based Test Script Maintenance for Android Apps. QRS 2018: 215-225 - 2017
- [c8]Subrota K. Mondal, Abadhan Saumya Sabyasachi, Jogesh K. Muppala:
On Dependability, Cost and Security Trade-Off in Cloud Data Centers. PRDC 2017: 11-19 - [c7]Abadhan Saumya Sabyasachi, Hussain Mohammed Dipu Kabir, Ahmed Mohamed Abdelmoniem, Subrota Kumar Mondal:
A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market. SRDS 2017: 247-249 - 2016
- [c6]Subrota K. Mondal, Abadhan Saumya Sabyasachi, Jogesh K. Muppala:
On Boosting Cloud Service Dependability through Optimized Checkpointing. ISPDC 2016: 202-207 - 2015
- [j1]Subrota K. Mondal, Xiaoyan Yin, Jogesh K. Muppala, Javier Alonso Lopez, Kishor S. Trivedi:
Defects per Million Computation in Service-Oriented Environments. IEEE Trans. Serv. Comput. 8(1): 32-46 (2015) - 2014
- [c5]Subrota K. Mondal, Jogesh K. Muppala:
Energy Modeling of Virtual Machine Replication Schemes with Checkpointing in Data Centers. BDCloud 2014: 633-640 - [c4]Subrota K. Mondal, Jogesh K. Muppala:
Defects per Million (DPM) Evaluation for a Cloud Dealing with VM Failures Using Checkpointing. DSN 2014: 672-677 - [c3]Subrota K. Mondal, Jogesh K. Muppala, Kishor S. Trivedi:
Defects Per Million (DPM): A user-oriented perspective of telecommunication systems. GLOBECOM Workshops 2014: 711-716 - [c2]Subrota K. Mondal, Jogesh K. Muppala:
Energy Modeling of Different Virtual Machine Replication Schemes in a Cloud Data Center. iThings/GreenCom/CPSCom 2014: 486-493 - [c1]Subrota K. Mondal, Jogesh K. Muppala, Fumio Machida, Kishor S. Trivedi:
Computing Defects per Million in Cloud Caused by Virtual Machine Failures with Replication. PRDC 2014: 161-168
Coauthor Index
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last updated on 2024-11-07 21:30 CET by the dblp team
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