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ORCIDThor S. Prentow
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- affiliation: Aarhus University
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2010 – 2019
- 2017
[j3]Allan Stisen
, Henrik Blunck, Mikkel Baun Kjærgaard, Thor Siiger Prentow, Andreas Mathisen, Søren Krogh Sørensen, Kaj Grønbæk:
Task phase recognition and task progress estimation for highly mobile workers in large building complexes. Pervasive Mob. Comput. 38: 418-429 (2017)- [j2]Henrik Blunck, Thor S. Prentow, Sylvie Temme, Andreas Thom, Jan Vahrenhold:
Deviation maps for robust and informed indoor positioning services. ACM SIGSPATIAL Special 9(1): 27-34 (2017) - 2016
- [j1]Henrik Blunck, Sourav Bhattacharya, Allan Stisen, Thor Siiger Prentow, Mikkel Baun Kjærgaard, Anind K. Dey, Mads Møller Jensen, Tobias Sonne:
ACTIVITY RECOGNITION ON SMART DEVICES: Dealing with diversity in the wild. GetMobile Mob. Comput. Commun. 20(1): 34-38 (2016) - [c7]Allan Stisen, Andreas Mathisen, Søren Krogh Sørensen, Henrik Blunck, Mikkel Baun Kjærgaard, Thor Siiger Prentow:
Task phase recognition for highly mobile workers in large building complexes. PerCom 2016: 1-9 - 2015
- [c6]Thor S. Prentow, Andreas Thom, Henrik Blunck, Jan Vahrenhold:
Making Sense of Trajectory Data in Indoor Spaces. MDM (1) 2015: 116-121 - [c5]Thor Siiger Prentow, Henrik Blunck, Mikkel Baun Kjærgaard, Allan Stisen:
Towards Indoor Transportation Mode Detection Using Mobile Sensing. MobiCASE 2015: 259-279 - [c4]Allan Stisen, Henrik Blunck, Sourav Bhattacharya, Thor Siiger Prentow, Mikkel Baun Kjærgaard, Anind K. Dey, Tobias Sonne, Mads Møller Jensen:
Smart Devices are Different: Assessing and MitigatingMobile Sensing Heterogeneities for Activity Recognition. SenSys 2015: 127-140 - [d1]Henrik Blunck, Sourav Bhattacharya, Thor S. Prentow, Mikkel Kjrgaard, Anind K. Dey:
Heterogeneity Activity Recognition. UCI Machine Learning Repository, 2015
- 2014
- [c3]Thor S. Prentow, Henrik Blunck, Kaj Grønbæk, Mikkel Baun Kjærgaard:
Estimating Common Pedestrian Routes through Indoor Path Networks Using Position Traces. MDM (1) 2014: 43-48 - [c2]Thor S. Prentow, Henrik Blunck, Mikkel Baun Kjærgaard, Allan Stisen, Kaj Grønbæk:
Accurate estimation of indoor travel times: learned unsupervised from position traces. MobiQuitous 2014: 90-99 - [c1]Antonio Jesus Ruiz Ruiz, Henrik Blunck, Thor S. Prentow, Allan Stisen, Mikkel Baun Kjærgaard:
Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning. PerCom 2014: 130-138
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