Subrota K. Mondal

Orcid: 0000-0002-0008-7797

Affiliations:
  • Macau University of Science and Technology, Macau SAR, China
  • The Hong Kong Polytechnic University, Hong Kong, China (former)


According to our database1, Subrota K. Mondal authored at least 28 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Toward security quantification of serverless computing.
J. Cloud Comput., December, 2024

Uncertainty aware neural network from similarity and sensitivity.
Appl. Soft Comput., December, 2024

Transfer learning with spinally shared layers.
Appl. Soft Comput., 2024

On Optimization of Traditional Chinese Character Recognition.
Proceedings of the IEEE International Conference on Software Services Engineering, 2024

Toward Automatic Number Plate Recognition: A Deep Learning Based Study for Macau.
Proceedings of the IEEE International Conference on Software Services Engineering, 2024

2023
Machine translation and its evaluation: a study.
Artif. Intell. Rev., September, 2023

Reinforcement learning-driven deep question generation with rich semantics.
Inf. Process. Manag., 2023

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities.
ACM Comput. Surv., 2023

Uncertainty Aware Neural Network from Similarity and Sensitivity.
CoRR, 2023

Reference-Based Line Drawing Colorization Through Diffusion Model.
Proceedings of the Advances in Computer Graphics, 2023

2022
BLB-gcForest: A High-Performance Distributed Deep Forest With Adaptive Sub-Forest Splitting.
IEEE Trans. Parallel Distributed Syst., 2022

Kubernetes in IT administration and serverless computing: An empirical study and research challenges.
J. Supercomput., 2022

Uncertainty-aware Decisions in Cloud Computing: Foundations and Future Directions.
ACM Comput. Surv., 2022

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities.
CoRR, 2022

Aleatory-aware deep uncertainty quantification for transfer learning.
Comput. Biol. Medicine, 2022

CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels.
Expert Syst. Appl., 2021

2020
Boosting UI Rendering in Android Applications.
Proceedings of the 20th IEEE International Conference on Software Quality, 2020

2018
Change-Based Test Script Maintenance for Android Apps.
Proceedings of the 2018 IEEE International Conference on Software Quality, 2018

2017
A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market.
Proceedings of the 36th IEEE Symposium on Reliable Distributed Systems, 2017

On Dependability, Cost and Security Trade-Off in Cloud Data Centers.
Proceedings of the 22nd IEEE Pacific Rim International Symposium on Dependable Computing, 2017

2016
On Boosting Cloud Service Dependability through Optimized Checkpointing.
Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016

2015
Defects per Million Computation in Service-Oriented Environments.
IEEE Trans. Serv. Comput., 2015

2014
Computing Defects per Million in Cloud Caused by Virtual Machine Failures with Replication.
Proceedings of the 20th IEEE Pacific Rim International Symposium on Dependable Computing, 2014

Energy Modeling of Different Virtual Machine Replication Schemes in a Cloud Data Center.
Proceedings of the 2014 IEEE International Conference on Internet of Things, 2014

Defects Per Million (DPM): A user-oriented perspective of telecommunication systems.
Proceedings of the 2014 IEEE GLOBECOM Workshops, Austin, TX, USA, December 8-12, 2014, 2014

Defects per Million (DPM) Evaluation for a Cloud Dealing with VM Failures Using Checkpointing.
Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014

Energy Modeling of Virtual Machine Replication Schemes with Checkpointing in Data Centers.
Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014


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