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Subrota K. Mondal

Subrota Kumar Mondal

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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

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2024
[j12]
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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]
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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]
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  - journals/jcloudc/NiMKTD24
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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]
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  - conf/IEEEscc/HuangMCW24
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Yanbo Huang, Subrota Kumar Mondal, Yuning Cheng, Chengwei Wang:
On Optimization of Traditional Chinese Character Recognition. SSE 2024: 293-302
[c13]
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Fansong Dai, Subrota Kumar Mondal:
Toward Automatic Number Plate Recognition: A Deep Learning Based Study for Macau. SSE 2024: 303-312
2023
[j9]
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  - journals/air/MondalZKND23
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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]
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  - journals/csur/Song0CMS23
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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]
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  - journals/ipm/GuanMDB23
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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]
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  - conf/cgi/HeZLHLZSM23
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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]
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  - journals/corr/abs-2304-14925
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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]
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  - journals/cbm/KabirKKKMNA22
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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]
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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]
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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]
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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]
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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]
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  - journals/corr/abs-2205-06743
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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]
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  - journals/corr/abs-2209-09556
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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]
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  - journals/eswa/ZhangDZMMW21
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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]
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  - conf/qrs/MondalPDKS20
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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

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2018
[c9]
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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]
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  - conf/prdc/MondalSM17
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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]
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  - conf/srds/SabyasachiKAM17
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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]
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Subrota K. Mondal, Abadhan Saumya Sabyasachi, Jogesh K. Muppala:
On Boosting Cloud Service Dependability through Optimized Checkpointing. ISPDC 2016: 202-207
2015
[j1]
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  - journals/tsc/MondalYMLT15
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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]
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  - conf/bdcloud/MondalM14
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Subrota K. Mondal, Jogesh K. Muppala:
Energy Modeling of Virtual Machine Replication Schemes with Checkpointing in Data Centers. BDCloud 2014: 633-640
[c4]
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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]
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  - conf/globecom/MondalMT14
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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]
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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]
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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

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