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17 May 2024: 2017. Cultural Investment and Urban Socio-Economic Development: A Geo-Social Network Approach. ... Measuring Urban Social Diversity Using Interconnected Geo-Social Networks. Desislava Hristova, Matthew J.

29 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

17 May 2012: Social Network and Privacy.For the social aspect of sharing activity checkins, the user. ... Aucinas,“Emotionsense: a mobile phones based adaptiveplatform for experimental social psychology research,”in Proceedings of the 12th ACM

12 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.

24 Jan 2013: In this work, we explore the feasibility of efficient sensingoffloading by considering the requirements of social sensingapplications operating within a smart-building environment.Through an experimental study within our research ... Mascolo, P. J.

4 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

1 Jul 2013: Journal of Personality and Social Psychology 56, 5 (1989),815–822. 7. Diener, E., and Emmons, R. ... The Independence of Positive and NegativeAffect. Journal of Personality and Social Psychology 47 (1984).

1 Mar 2012: We seethe deployment of passive social sensing technologies as such a disruptive technology.In our experimental study our primary aim was to explore the main tensions betweencompeting needs that can affect ... The term “fun” was mainly usedin the

7 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

1 Aug 2017: Table 3. Audio analysis tasks investigated. Experimental Setup. We train our Deep Belief Networks with a xed learning rate of 0.05 and train the DNNswith a learning rate of ... An audio sample in our case consists of 5 seconds of speech from a speaker,