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Occupancy Inference Through Energy Consumption Data: A Smart Home Experiment.

, , , , , and . ICVS, volume 11754 of Lecture Notes in Computer Science, page 670-679. Springer, (2019)

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Improving Energy Efficiency in Tertiary Buildings Through User-Driven Recommendations Delivered on Optimal Micro-moments., , , , , , , , , and 1 other author(s). AIAI Workshops, volume 628 of IFIP Advances in Information and Communication Technology, page 352-363. Springer, (2021)Redefining Micro-Moments for Improving Energy Behaviour: The SIT4Energy Approach., , , , and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 1811-1816. IEEE, (2019)Occupancy Inference Through Energy Consumption Data: A Smart Home Experiment., , , , , and . ICVS, volume 11754 of Lecture Notes in Computer Science, page 670-679. Springer, (2019)A Recommendation Specific Human Activity Recognition Dataset with Mobile Device's Sensor Data., , , , , , , and . AIAI Workshops, volume 628 of IFIP Advances in Information and Communication Technology, page 327-339. Springer, (2021)3D-HPE_CERTH_dataset., , , , and . (January 2021)Supervised Machine Learning for Refractive Index Structure Parameter Modeling., , , , , and . MOCAST, page 1-4. IEEE, (2023)Multi-modal 3D Human Pose Estimation for Human-Robot Collaborative Applications., , , , and . S+SSPR, volume 12644 of Lecture Notes in Computer Science, page 355-364. Springer, (2020)