Arnab Sharma

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Machine Learning

Top Venues

Publications

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)
Sourabh Kapoor, Arnab Sharma, Michael Röder, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks. CoRR (2024)
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 (2024)
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)
Caglar Demir, Arnab Sharma, Axel-Cyrille Ngonga Ngomo
Adaptive Stochastic Weight Averaging. CoRR (2024)
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)
Arnab Sharma, Vitalik Melnikov, Eyke Hüllermeier, Heike Wehrheim
Property-Driven Black-Box Testing of Numeric Functions. Software Engineering (2023)
Arnab Sharma, Vitalik Melnikov, Eyke Hüllermeier, Heike Wehrheim
Property-Driven Testing of Black-Box Functions. FormaliSE@ICSE (2022)
Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim
MLCHECK- Property-Driven Testing of Machine Learning Classifiers. ICMLA (2021)
Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim
MLCheck- Property-Driven Testing of Machine Learning Models. CoRR (2021)
Arnab Sharma, Heike Wehrheim
Testing Monotonicity of Machine Learning Models. CoRR (2020)
Arnab Sharma, Heike Wehrheim
Automatic Fairness Testing of Machine Learning Models. ICTSS (2020)
Arnab Sharma, Heike Wehrheim
Higher income, larger loan? monotonicity testing of machine learning models. ISSTA (2020)
Stefan Schneider, Arnab Sharma, Holger Karl, Heike Wehrheim
Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets. IM (2019)
Arnab Sharma, Heike Wehrheim
Testing Balancedness of ML Algorithms. SE/SWM (2019)
Arnab Sharma, Heike Wehrheim
Testing Machine Learning Algorithms for Balanced Data Usage. ICST (2019)
Stefan Schneider, Arnab Sharma, Holger Karl, Heike Wehrheim
Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets. CoRR (2018)