Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Danny Wyatt"'
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 2:1-41
New technologies have made it possible to collect information about social networks as they are acted and observed in the wild , instead of as they are reported in retrospective surveys. These technologies offer opportunities to address many new rese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcea9b1af66bddf24de8103707ade60f
https://doi.org/10.1145/1889681.1889688
https://doi.org/10.1145/1889681.1889688
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 24:630-636
The current methods used to mine and analyze temporal social network data make two assumptions: all edges have the same strength, and all parameters are time-homogeneous. We show that those assumptions may not hold for social networks and propose an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02fe128f9abe741e4316e826cc28df7d
https://doi.org/10.1609/aaai.v24i1.7666
https://doi.org/10.1609/aaai.v24i1.7666
Autor:
Jeffrey Hightower, Ali Rahimi, G. Bordello, Tanzeem Choudhury, Danny Wyatt, Beverly L. Harrison, Louis LeGrand, D. Haehnel, Bruce Hemingway, James A. Landay, Sunny Consolvo, Predrag Klasnja, Jonathan Lester, Karl Koscher, Anthony LaMarca, Adam D. Rea
Publikováno v:
IEEE Pervasive Computing. 7:32-41
Activity-aware systems have inspired novel user interfaces and new applications in smart environments, surveillance, emergency response, and military missions. Systems that recognize human activities from body-worn sensors can further open the door t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b06f2a7bc1aeaacc9f84f2971e4e304a
https://doi.org/10.1109/mprv.2008.39
https://doi.org/10.1109/mprv.2008.39
Publikováno v:
UbiComp
We present an automated approach for studying fine-grained details of social interaction and relationships. Specifically, we analyze the conversational characteristics of a group of 24 individuals over a six-month period, explore the relationship bet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01fe9b1dc56eadf7824fee1ca07901fd
https://doi.org/10.1145/1409635.1409658
https://doi.org/10.1145/1409635.1409658
Publikováno v:
INTERSPEECH
We present privacy-sensitive methods for (1) automatically finding multi-person conversations in spontaneous, situated speech data and (2) segmenting those conversations into speaker turns. The methods protect privacy through a feature set that is ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d43d9bc6fec2886589cadb71de8664ce
https://doi.org/10.21437/interspeech.2007-256
https://doi.org/10.21437/interspeech.2007-256
Publikováno v:
ICASSP (4)
The UW dynamic social network study is an effort to automatically observe and model the creation and evolution of a social network formed through spontaneous face-to-face conversations. We have collected more than 4,400 hours of data that capture the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::259df83ee80614821842ae16568c9937
https://doi.org/10.1109/icassp.2007.367201
https://doi.org/10.1109/icassp.2007.367201