18 Publications
2024 | Conference Paper | LibreCat-ID: 58054
Sharma, A., Leite, D., Demir, C., & Ngomo, A.-C. N. (2024). Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees. 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz-ieee60900.2024.10611982
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 58053
Leite, D., Sharma, A., Demir, C., & Ngomo, A.-C. (2024). Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers. 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz-ieee60900.2024.10611937
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 58049
Demir, C., KOUAGOU, N. J., Sharma, A., & Ngonga Ngomo, A.-C. (2024). Inference over Unseen Entities, Relations and Literals on Knowledge Graphs. Arxiv. https://doi.org/10.48550/ARXIV.2410.06742
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 58052
Leite, D., Silva, A., Casalino, G., Sharma, A., Fortunato, D., & Ngomo, A.-C. (2024). EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams. 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS). https://doi.org/10.1109/eais58494.2024.10570033
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 58048
Sharma, A., KOUAGOU, N. J., & Ngonga Ngomo, A.-C. (2024). Resilience in Knowledge Graph Embeddings. Arxiv. https://doi.org/10.48550/ARXIV.2410.21163
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 58051
Demir, C., Sharma, A., & Ngonga Ngomo, A.-C. (2024). Adaptive Stochastic Weight Averaging. Arxiv. https://doi.org/10.48550/ARXIV.2406.19092
LibreCat
| DOI
2023 | Book Chapter | LibreCat-ID: 45886 | 
Wehrheim, H., Hüllermeier, E., Becker, S., Becker, M., Richter, C., & Sharma, A. (2023). Composition Analysis in Unknown Contexts. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 105–123). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068510
LibreCat
| Files available
| DOI
2023 | Dissertation | LibreCat-ID: 58047
Sharma, A. (2023). Testing of machine learning algorithms and models. http://oops.uni-oldenburg.de/5927
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 32311
Sharma, A., Melnikov, V., Hüllermeier, E., & Wehrheim, H. (2022). Property-Driven Testing of Black-Box Functions. Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering (FormaliSE), 113–123.
LibreCat
2021 | Journal Article | LibreCat-ID: 25213
Sharma, A., Demir, C., Ngonga Ngomo, A.-C., & Wehrheim, H. (2021). MLCheck- Property-Driven Testing of Machine Learning Models. CoRR, abs/2105.00741.
LibreCat
2021 | Conference Paper | LibreCat-ID: 28350
Sharma, A., Demir, C., Ngonga Ngomo, A.-C., & Wehrheim, H. (n.d.). MLCHECK–Property-Driven Testing of Machine Learning Classifiers. Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
LibreCat
2020 | Conference Paper | LibreCat-ID: 19656
Sharma, A., & Wehrheim, H. (n.d.). Automatic Fairness Testing of Machine Learning Models. In Proceedings of the 32th IFIP International Conference on Testing Software and Systems (ICTSS). Springer.
LibreCat
2020 | Journal Article | LibreCat-ID: 20279
Sharma, A., & Wehrheim, H. (2020). Testing Monotonicity of Machine Learning Models. CoRR, abs/2002.12278.
LibreCat
2020 | Conference Paper | LibreCat-ID: 16724
Sharma, A., & Wehrheim, H. (n.d.). Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models. In Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA). ACM.
LibreCat
2019 | Conference Paper | LibreCat-ID: 3287 |
Schneider, S. B., Sharma, A., Karl, H., & Wehrheim, H. (2019). Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets. In 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM) (pp. 116--124). Washington, DC, USA: IFIP.
LibreCat
| Files available
| Download (ext.)
2019 | Conference Abstract | LibreCat-ID: 7752
Sharma, A., & Wehrheim, H. (2019). Testing Balancedness of ML Algorithms. In Proceedings of the Software Engineering Conference (SE) (Vol. P-292, pp. 157–158). Stuttgart: Gesellschaft für Informatik e.V. (GI).
LibreCat
2019 | Conference Paper | LibreCat-ID: 7635
Sharma, A., & Wehrheim, H. (2019). Testing Machine Learning Algorithms for Balanced Data Usage. In IEEE International Conference on Software Testing, Verification and Validation (ICST) (pp. 125--135). Xi’an, China: IEEE.
LibreCat
| Files available
2019 | Conference Paper | LibreCat-ID: 10094
Sharma, A., & Wehrheim, H. (2019). Testing Balancedness of ML Algorithms. In S. Becker, I. Bogicevic, G. Herzwurm, & S. Wagner (Eds.), Software Engineering and Software Management, {SE/SWM} 2019, Stuttgart, Germany, February 18-22, 2019 (Vol. {P-292}, pp. 157–158). {GI}. https://doi.org/10.18420/se2019-48
LibreCat
| DOI
18 Publications
2024 | Conference Paper | LibreCat-ID: 58054
Sharma, A., Leite, D., Demir, C., & Ngomo, A.-C. N. (2024). Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees. 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz-ieee60900.2024.10611982
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 58053
Leite, D., Sharma, A., Demir, C., & Ngomo, A.-C. (2024). Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers. 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz-ieee60900.2024.10611937
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 58049
Demir, C., KOUAGOU, N. J., Sharma, A., & Ngonga Ngomo, A.-C. (2024). Inference over Unseen Entities, Relations and Literals on Knowledge Graphs. Arxiv. https://doi.org/10.48550/ARXIV.2410.06742
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 58052
Leite, D., Silva, A., Casalino, G., Sharma, A., Fortunato, D., & Ngomo, A.-C. (2024). EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams. 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS). https://doi.org/10.1109/eais58494.2024.10570033
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 58048
Sharma, A., KOUAGOU, N. J., & Ngonga Ngomo, A.-C. (2024). Resilience in Knowledge Graph Embeddings. Arxiv. https://doi.org/10.48550/ARXIV.2410.21163
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 58051
Demir, C., Sharma, A., & Ngonga Ngomo, A.-C. (2024). Adaptive Stochastic Weight Averaging. Arxiv. https://doi.org/10.48550/ARXIV.2406.19092
LibreCat
| DOI
2023 | Book Chapter | LibreCat-ID: 45886 |
Wehrheim, H., Hüllermeier, E., Becker, S., Becker, M., Richter, C., & Sharma, A. (2023). Composition Analysis in Unknown Contexts. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 105–123). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068510
LibreCat
| Files available
| DOI
2023 | Dissertation | LibreCat-ID: 58047
Sharma, A. (2023). Testing of machine learning algorithms and models. http://oops.uni-oldenburg.de/5927
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 32311
Sharma, A., Melnikov, V., Hüllermeier, E., & Wehrheim, H. (2022). Property-Driven Testing of Black-Box Functions. Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering (FormaliSE), 113–123.
LibreCat
2021 | Journal Article | LibreCat-ID: 25213
Sharma, A., Demir, C., Ngonga Ngomo, A.-C., & Wehrheim, H. (2021). MLCheck- Property-Driven Testing of Machine Learning Models. CoRR, abs/2105.00741.
LibreCat
2021 | Conference Paper | LibreCat-ID: 28350
Sharma, A., Demir, C., Ngonga Ngomo, A.-C., & Wehrheim, H. (n.d.). MLCHECK–Property-Driven Testing of Machine Learning Classifiers. Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
LibreCat
2020 | Conference Paper | LibreCat-ID: 19656
Sharma, A., & Wehrheim, H. (n.d.). Automatic Fairness Testing of Machine Learning Models. In Proceedings of the 32th IFIP International Conference on Testing Software and Systems (ICTSS). Springer.
LibreCat
2020 | Journal Article | LibreCat-ID: 20279
Sharma, A., & Wehrheim, H. (2020). Testing Monotonicity of Machine Learning Models. CoRR, abs/2002.12278.
LibreCat
2020 | Conference Paper | LibreCat-ID: 16724
Sharma, A., & Wehrheim, H. (n.d.). Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models. In Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA). ACM.
LibreCat
2019 | Conference Paper | LibreCat-ID: 3287 |
Schneider, S. B., Sharma, A., Karl, H., & Wehrheim, H. (2019). Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets. In 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM) (pp. 116--124). Washington, DC, USA: IFIP.
LibreCat
| Files available
| Download (ext.)
2019 | Conference Abstract | LibreCat-ID: 7752
Sharma, A., & Wehrheim, H. (2019). Testing Balancedness of ML Algorithms. In Proceedings of the Software Engineering Conference (SE) (Vol. P-292, pp. 157–158). Stuttgart: Gesellschaft für Informatik e.V. (GI).
LibreCat
2019 | Conference Paper | LibreCat-ID: 7635
Sharma, A., & Wehrheim, H. (2019). Testing Machine Learning Algorithms for Balanced Data Usage. In IEEE International Conference on Software Testing, Verification and Validation (ICST) (pp. 125--135). Xi’an, China: IEEE.
LibreCat
| Files available
2019 | Conference Paper | LibreCat-ID: 10094
Sharma, A., & Wehrheim, H. (2019). Testing Balancedness of ML Algorithms. In S. Becker, I. Bogicevic, G. Herzwurm, & S. Wagner (Eds.), Software Engineering and Software Management, {SE/SWM} 2019, Stuttgart, Germany, February 18-22, 2019 (Vol. {P-292}, pp. 157–158). {GI}. https://doi.org/10.18420/se2019-48
LibreCat
| DOI