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2020 – today
- 2024
[c11]Daniel F. Leite
, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, Axel-Cyrille Ngonga Ngomo:
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams. EAIS 2024: 1-10- [c10]Daniel F. Leite, Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers. FUZZ 2024: 1-10 - [c9]Arnab Sharma, Daniel F. Leite, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees. FUZZ 2024: 1-10 - [i7]Daniel Leite, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, Axel-Cyrille Ngonga Ngomo:
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams. CoRR abs/2402.17792 (2024) - [i6]Caglar Demir, Arnab Sharma, Axel-Cyrille Ngonga Ngomo:
Adaptive Stochastic Weight Averaging. CoRR abs/2406.19092 (2024) - [i5]Sourabh Kapoor, Arnab Sharma, Michael Röder, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks. CoRR abs/2407.06855 (2024) - [i4]Caglar Demir, N'Dah Jean Kouagou, Arnab Sharma, Axel-Cyrille Ngonga Ngomo:
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs. CoRR abs/2410.06742 (2024) - 2023
- [b1]Arnab Sharma:
Testing of machine learning algorithms and models. University of Oldenburg, Germany, 2023 - [c8]Arnab Sharma, Vitalik Melnikov, Eyke Hüllermeier, Heike Wehrheim:
Property-Driven Black-Box Testing of Numeric Functions. Software Engineering 2023: 111-112 - 2022
- [c7]Arnab Sharma, Vitalik Melnikov, Eyke Hüllermeier, Heike Wehrheim:
Property-Driven Testing of Black-Box Functions. FormaliSE@ICSE 2022: 113-123 - 2021
- [c6]Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim:
MLCHECK- Property-Driven Testing of Machine Learning Classifiers. ICMLA 2021: 738-745 - [i3]Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim:
MLCheck- Property-Driven Testing of Machine Learning Models. CoRR abs/2105.00741 (2021) - 2020
- [c5]Arnab Sharma, Heike Wehrheim:
Higher income, larger loan? monotonicity testing of machine learning models. ISSTA 2020: 200-210 - [c4]Arnab Sharma, Heike Wehrheim:
Automatic Fairness Testing of Machine Learning Models. ICTSS 2020: 255-271 - [i2]Arnab Sharma, Heike Wehrheim:
Testing Monotonicity of Machine Learning Models. CoRR abs/2002.12278 (2020)
2010 – 2019
- 2019
- [c3]Arnab Sharma, Heike Wehrheim:
Testing Machine Learning Algorithms for Balanced Data Usage. ICST 2019: 125-135 - [c2]Stefan Schneider, Arnab Sharma, Holger Karl, Heike Wehrheim:
Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets. IM 2019: 116-124 - [c1]Arnab Sharma, Heike Wehrheim:
Testing Balancedness of ML Algorithms. SE/SWM 2019: 157-158 - 2018
- [i1]Stefan Schneider, Arnab Sharma, Holger Karl, Heike Wehrheim:
Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets. CoRR abs/1803.07007 (2018)
Coauthor Index
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