Sowmya Chandrasekaran
Publications by Year
Research Areas
Water Quality Monitoring Technologies, Water Systems and Optimization, Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Anomaly Detection Techniques and Applications
Most-Cited Works
- → Benchmarking in Optimization: Best Practice and Open Issues(2020)80 cited
- → Case Study II: Tuning of Gradient Boosting (xgboost)(2023)7 cited
- → GECCO Industrial Challenge 2018 Dataset: A water quality dataset for the 'Internet of Things: Online Anomaly Detection for Drinking Water Quality' competition at the Genetic and Evolutionary Computation Conference 2018, Kyoto, Japan.(2018)6 cited
- → NLP Based Anomaly Detection for Categorical Time Series(2022)6 cited
- → Technical Report: Flushing Strategies in Drinking Water Systems(2020)3 cited
- → Case Study III: Tuning of Deep Neural Networks(2023)3 cited
- → Case Study I: Tuning Random Forest (Ranger)(2023)2 cited
- → Case Study IV: Tuned Reinforcement Learning (in Python)(2023)2 cited
- → Ranking and Result Aggregation(2023)2 cited