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Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data.

, , , , , , and . AAAI, page 11792-11800. AAAI Press, (2022)

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Distributed Control of Multi-zone HVAC Systems Considering Indoor Air Quality., , , and . CoRR, (2020)A Survey of ADMM Variants for Distributed Optimization: Problems, Algorithms and Features., , , , , and . CoRR, (2022)Synthetic personal thermal comfort data generation: poster abstract., and . BuildSys@SenSys, page 280-281. ACM, (2022)PresenceSense: zero-training algorithm for individual presence detection based on power monitoring., , , , and . BuildSys@SenSys, page 1-10. ACM, (2014)Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costs., , , , , , and . BuildSys@SenSys, page 131-139. ACM, (2021)Diagnosing wind turbine faults using machine learning techniques applied to operational data., , , , and . ICPHM, page 1-8. IEEE, (2016)Distributed Model Predictive Control of a HVAC System via a Projected Subgradient Method., , and . ICCA, page 878-883. IEEE, (2018)Joint Adversarial Domain Adaptation for Resilient WiFi-Enabled Device-Free Gesture Recognition., , , and . ICMLA, page 202-207. IEEE, (2018)Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response., , , , and . e-Energy, page 483-487. ACM, (2021)Pricing in Prosumer Aggregations using Reinforcement Learning., , , , , and . e-Energy, page 220-224. ACM, (2021)