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Transmitting patient vitals over a reliable ZigBee mesh network., , , , and . IHTC, page 1-5. IEEE, (2014)Stop: Exploring Bayesian Surprise to Better Train NILM., , , and . NILM@SenSys, page 39-43. ACM, (2020)Electricity Consumption Data Sets: Pitfalls and Opportunities., , , , , and . BuildSys@SenSys, page 159-162. ACM, (2019)Compressive Non-Intrusive Load Monitoring., , and . BuildSys@SenSys, page 290-293. ACM, (2020)The cognitive power meter: Looking beyond the smart meter., , and . CCECE, page 1-5. IEEE, (2013)Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction., , , , and . HICSS, page 1427-1436. IEEE Computer Society, (2016)On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring., , , and . CoRR, (2019)Increasing the Accuracy and Speed of Universal Non-Intrusive Load Monitoring (UNILM) Using a Novel Real- Time Steady-State Block Filter., , and . ISGT, page 1-5. IEEE, (2020)A Nonintrusive Load Monitoring Based on Multi-Target Regression Approach., and . IEEE Access, (2021)Incorporating time-of-day usage patterns into non-intrusive load monitoring., , and . GlobalSIP, page 1110-1114. IEEE, (2017)