Arnab Sharma

According to our database, Arnab Sharma authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Inference over Unseen Entities, Relations and Literals on Knowledge Graphs.

Caglar Demir, N'Dah Jean Kouagou, Arnab Sharma, Axel-Cyrille Ngonga Ngomo

CoRR, 2024

Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks.

Sourabh Kapoor, Arnab Sharma, Michael Röder, Caglar Demir, Axel-Cyrille Ngonga Ngomo

CoRR, 2024

Adaptive Stochastic Weight Averaging.

Caglar Demir, Arnab Sharma, Axel-Cyrille Ngonga Ngomo

CoRR, 2024

Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees.

Arnab Sharma, Daniel F. Leite, Caglar Demir, Axel-Cyrille Ngonga Ngomo

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers.

Daniel F. Leite, Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

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

Daniel F. Leite, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, Axel-Cyrille Ngonga Ngomo

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023

Testing of machine learning algorithms and models.

Arnab Sharma

PhD thesis, 2023

Property-Driven Black-Box Testing of Numeric Functions.

Arnab Sharma, Vitalik Melnikov, Eyke Hüllermeier, Heike Wehrheim

Proceedings of the Software Engineering 2023, 2023

2022

Property-Driven Testing of Black-Box Functions.

Arnab Sharma, Vitalik Melnikov, Eyke Hüllermeier, Heike Wehrheim

Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering, 2022

2021

MLCheck- Property-Driven Testing of Machine Learning Models.

Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim

CoRR, 2021

MLCHECK- Property-Driven Testing of Machine Learning Classifiers.

Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Testing Monotonicity of Machine Learning Models.

Arnab Sharma, Heike Wehrheim

CoRR, 2020

Automatic Fairness Testing of Machine Learning Models.

Arnab Sharma, Heike Wehrheim

Proceedings of the Testing Software and Systems, 2020

Higher income, larger loan? monotonicity testing of machine learning models.

Arnab Sharma, Heike Wehrheim

Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

2019

Testing Balancedness of ML Algorithms.

Arnab Sharma, Heike Wehrheim

Proceedings of the Software Engineering and Software Management, 2019

Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets.

Stefan Schneider, Arnab Sharma, Holger Karl, Heike Wehrheim

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

Testing Machine Learning Algorithms for Balanced Data Usage.

Arnab Sharma, Heike Wehrheim

Proceedings of the 12th IEEE Conference on Software Testing, Validation and Verification, 2019