Benchmarking in Optimization: Best Practice and Open Issues. - Thomas Bartz-Beielstein; Carola Doerr; Jakob Bossek; Sowmya Chandrasekaran; Tome Eftimov; Andreas Fischbach; Pascal Kerschke; Manuel López-Ibáñez 001; Katherine M. Malan; Jason H. Moore; Boris Naujoks; Patryk Orzechowski; et al. (CoRR, 2020)

Sensor Placement for Contamination Detection in Water Distribution Systems. - Margarita Alejandra Rebolledo Coy; Sowmya Chandrasekaran; Thomas Bartz-Beielstein (CoRR, 2020)

EventDetectR - An Open-Source Event Detection System. - Sowmya Chandrasekaran; Margarita Rebolledo; Thomas Bartz-Beielstein (CoRR, 2020)

Technical Report: Flushing Strategies in Drinking Water Systems. - Margarita Rebolledo; Sowmya Chandrasekaran; Thomas Bartz-Beielstein (CoRR, 2020)

NLP Based Anomaly Detection for Categorical Time Series. - Matthew Horak; Sowmya Chandrasekaran; Giovanni Tobar (IRI, 2022)

Case Study II: Tuning of Gradient Boosting (xgboost). - Thomas Bartz-Beielstein; Sowmya Chandrasekaran; Frederik Rehbach (Hyperparameter Tuning for Machine and Deep Learning with R, 2023)

Case Study III: Tuning of Deep Neural Networks. - Thomas Bartz-Beielstein; Sowmya Chandrasekaran; Frederik Rehbach (Hyperparameter Tuning for Machine and Deep Learning with R, 2023)

Case Study I: Tuning Random Forest (Ranger). - Thomas Bartz-Beielstein; Sowmya Chandrasekaran; Frederik Rehbach; Martin Zaefferer (Hyperparameter Tuning for Machine and Deep Learning with R, 2023)

Ranking and Result Aggregation. - Thomas Bartz-Beielstein; Olaf Mersmann; Sowmya Chandrasekaran (Hyperparameter Tuning for Machine and Deep Learning with R, 2023)

Case Study IV: Tuned Reinforcement Learning (in Python). - Martin Zaefferer; Sowmya Chandrasekaran (Hyperparameter Tuning for Machine and Deep Learning with R, 2023)

A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity. - Sowmya Chandrasekaran; Thomas Bartz-Beielstein (EvoApplications@EvoStar, 2023)

A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity. - Sowmya Chandrasekaran; Thomas Bartz-Beielstein (CoRR, 2024)