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Studying the impact of magnitude pruning on contrastive learning methods., , , , and . CoRR, (2022)Compensating Altered Sensitivity of Duty-Cycled MOX Gas Sensors with Machine Learning., , , and . SECON, page 1-9. IEEE, (2021)Automated Pollen Detection with an Affordable Technology., , , and . EWSN, page 108-119. ACM, (2020)Message from Program Chairs and the Steering Committee Chair., , , and . DCOSS-IoT, page xxi-xxii. IEEE, (2023)Quantle: fair and honest presentation coach in your pocket., and . IPSN, page 253-264. ACM, (2019)An automated real-time and affordable airborne pollen sensing system: poster abstract., , and . IPSN, page 321-322. ACM, (2019)Deriving high-resolution urban air pollution maps using mobile sensor nodes, , , , , , , and . Pervasive and Mobile Computing, (2014)Statistical modelling of particle number concentration in Zurich at high spatio-temporal resolution utilizing data from a mobile sensor network, , , , and . Atmospheric Environment, (2016)Localization from activity sensor data: poster abstract., , and . SenSys, page 703-704. ACM, (2020)Sensing the Air We Breathe - The OpenSense Zurich Dataset., , , , and . AAAI, page 323-325. AAAI Press, (2012)