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Learning from Correlated Events for Equipment Relation Inference in Buildings.

, , , and . BuildSys@SenSys, page 203-212. ACM, (2019)

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Poster Abstract: Intuitive Appliance Identification using Image Matching in Smart Buildings., , , , and . BuildSys@SenSys, page 103-104. ACM, (2015)Towards Automatic Spatial Verification of Sensor Placement in Buildings., , , and . BuildSys@SenSys, page 13:1-13:8. ACM, (2013)Automated metadata transformation for a-priori deployed sensor networks., , , , and . SenSys, page 364-365. ACM, (2014)Clustering-based Active Learning on Sensor Type Classification in Buildings., , and . CIKM, page 363-372. ACM, (2015)Marble: collaborative scheduling of batteryless sensors with meta reinforcement learning., , , , and . BuildSys@SenSys, page 140-149. ACM, (2021)UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification., , , , and . SenSys, page 234-247. ACM, (2021)PrimeNet: Pre-training for Irregular Multivariate Time Series., , , , , and . AAAI, page 7184-7192. AAAI Press, (2023)Energon: A Data Acquisition System for Portable Building Analytics., , , , , and . e-Energy, page 15-26. ACM, (2021)Sequential Learning with Active Partial Labeling for Building Metadata., , , and . BuildSys@SenSys, page 189-192. ACM, (2019)Learning from Correlated Events for Equipment Relation Inference in Buildings., , , and . BuildSys@SenSys, page 203-212. ACM, (2019)