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Sowmya Chandrasekaran
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Conference and Workshop Papers
- 2023
- [c2]Sowmya Chandrasekaran, Thomas Bartz-Beielstein:
A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity. EvoApplications@EvoStar 2023: 426-441 - 2022
- [c1]Matthew Horak, Sowmya Chandrasekaran, Giovanni Tobar:
NLP Based Anomaly Detection for Categorical Time Series. IRI 2022: 27-34
Parts in Books or Collections
- 2023
- [p5]Thomas Bartz-Beielstein, Olaf Mersmann, Sowmya Chandrasekaran:
Ranking and Result Aggregation. Hyperparameter Tuning for Machine and Deep Learning with R 2023: 121-161 - [p4]Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach, Martin Zaefferer:
Case Study I: Tuning Random Forest (Ranger). Hyperparameter Tuning for Machine and Deep Learning with R 2023: 187-220 - [p3]Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach:
Case Study II: Tuning of Gradient Boosting (xgboost). Hyperparameter Tuning for Machine and Deep Learning with R 2023: 221-234 - [p2]Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach:
Case Study III: Tuning of Deep Neural Networks. Hyperparameter Tuning for Machine and Deep Learning with R 2023: 235-269 - [p1]Martin Zaefferer, Sowmya Chandrasekaran:
Case Study IV: Tuned Reinforcement Learning (in Python). Hyperparameter Tuning for Machine and Deep Learning with R 2023: 271-281
Informal and Other Publications
- 2024
- [i6]Sowmya Chandrasekaran, Thomas Bartz-Beielstein:
A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity. CoRR abs/2406.00154 (2024) - 2022
- [i5]Matthew Horak, Sowmya Chandrasekaran, Giovanni Tobar:
NLP Based Anomaly Detection for Categorical Time Series. CoRR abs/2204.10483 (2022) - 2020
- [i4]Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel López-Ibáñez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise:
Benchmarking in Optimization: Best Practice and Open Issues. CoRR abs/2007.03488 (2020) - [i3]Margarita Alejandra Rebolledo Coy, Sowmya Chandrasekaran, Thomas Bartz-Beielstein:
Sensor Placement for Contamination Detection in Water Distribution Systems. CoRR abs/2011.06406 (2020) - [i2]Sowmya Chandrasekaran, Margarita Rebolledo, Thomas Bartz-Beielstein:
EventDetectR - An Open-Source Event Detection System. CoRR abs/2011.09833 (2020) - [i1]Margarita Rebolledo, Sowmya Chandrasekaran, Thomas Bartz-Beielstein:
Technical Report: Flushing Strategies in Drinking Water Systems. CoRR abs/2012.13574 (2020)
Coauthor Index
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