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https://mobile-systems.cl.cam.ac.uk/publications.html17 May 2024: Tong Xia , Jing Han and Cecilia Mascolo. In Experimental Biology and Medicine. -
Stress Inference from Abdominal Sounds using Machine Learning Erika…
https://mobile-systems.cl.cam.ac.uk/papers/embc22-bondareva.pdf22 Apr 2022: 3, pp. 332–339, 2005. [12] J. R. Stroop, “Studies of interference in serial verbal reactions,”Journal of Experimental Psychology, vol. -
EmotionSense: A Mobile Phones based Adaptive Platform for…
https://mobile-systems.cl.cam.ac.uk/papers/Ubicomp10.pdf29 Jun 2010: EmotionSense: A Mobile Phones based Adaptive Platformfor Experimental Social Psychology Research. ... We design, implement, deploy, and evaluate a completesystem for experimental sociology and psychology that isable to provide information about social -
Collecting Big Datasets of Human ActivityOne Checkin at a ...
https://mobile-systems.cl.cam.ac.uk/papers/hotplanet12.pdf17 May 2012: Tothis end, a number of experimental systems attempt to de-tect user context and activity through the fusion of sensingmodalities that are available on the users’ mobile devices:accelerometer, RF traces ... Aucinas,“Emotionsense: a mobile phones -
2 PERVASIVE computing Published by the IEEE CS n ...
https://mobile-systems.cl.cam.ac.uk/papers/ieeepervasive2013.pdf12 Jun 2013: 6. K.K. Rachuri et al., “EmotionSense: A Mobile Phones Based Adaptive Platform for Experimental Social Psychology Research,” Proc. ... Per-sonality and Social Psychology, vol. 54, no. 2, 1988, pp. 296–308. -
METIS: Exploring mobile phone sensing offloading for efficiently…
https://mobile-systems.cl.cam.ac.uk/papers/percom2013.pdf24 Jan 2013: Rentfrow‡†Computer Laboratory, ‡Department of Psychology, University of Cambridge, UK. Abstract—Mobile phones play a pivotal role in supportingubiquitous and unobtrusive sensing of human activities. ... Mascolo, P. J. Rentfrow, C. Long-worth, and -
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced…
https://mobile-systems.cl.cam.ac.uk/papers/KDD_covid_19.pdf4 Aug 2020: 5.1 Experimental setupClassification tasks. Based on the data collection (Section 3) wefocus on three clinically meaningful binary classification tasks:. • ... 2010. EmotionSense: A mobile phones based adap-tive platform for experimental social -
SIGCHI Conference Proceedings Format
https://mobile-systems.cl.cam.ac.uk/papers/ubicomp2013.pdf1 Jul 2013: Rachuri1, Cecilia Mascolo1, Peter J. Rentfrow21Computer Laboratory, 2Department of Social and Developmental Psychology. ... The Independence of Positive and NegativeAffect. Journal of Personality and Social Psychology 47 (1984). -
Sense and Sensibility in a Pervasive World Christos Efstratiou1, ...
https://mobile-systems.cl.cam.ac.uk/papers/pervasive12.pdf1 Mar 2012: Recently, a number of experimental systems exploit the sensing capabilities of mo-bile phones in order to further enrich user experience. ... We seethe deployment of passive social sensing technologies as such a disruptive technology.In our experimental -
YONO: Modeling Multiple Heterogeneous Neural Networks on…
https://mobile-systems.cl.cam.ac.uk/papers/ipsn22.pdf7 Mar 2022: 4.1describes our experimental setup. We evaluate the effectivenessof our system in the offline phase regarding the performance (i.e.,accuracy) and compression rate of the compressed models in anMTL scenario. ... 4.1 Experimental Setup4.1.1 Task. Our
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