Arnab Sharma

According to our database1, Arnab Sharma authored at least 12 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams.
CoRR, 2024

2023
Testing of machine learning algorithms and models.
PhD thesis, 2023

Property-Driven Black-Box Testing of Numeric Functions.
Proceedings of the Software Engineering 2023, 2023

2022
Property-Driven Testing of Black-Box Functions.
Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering, 2022

2021
MLCheck- Property-Driven Testing of Machine Learning Models.
CoRR, 2021

MLCHECK- Property-Driven Testing of Machine Learning Classifiers.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Testing Monotonicity of Machine Learning Models.
CoRR, 2020

Automatic Fairness Testing of Machine Learning Models.
Proceedings of the Testing Software and Systems, 2020

Higher income, larger loan? monotonicity testing of machine learning models.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

2019
Testing Balancedness of ML Algorithms.
Proceedings of the Software Engineering and Software Management, 2019

Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

Testing Machine Learning Algorithms for Balanced Data Usage.
Proceedings of the 12th IEEE Conference on Software Testing, Validation and Verification, 2019


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