Sledovat
Dennis Thom
Dennis Thom
Carl Zeiss AG, Corporate Research and Technology
E-mailová adresa ověřena na: zeiss.com - Domovská stránka
Název
Citace
Citace
Rok
Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition
J Chae, D Thom, H Bosch, Y Jang, R Maciejewski, DS Ebert, T Ertl
2012 IEEE conference on visual analytics science and technology (VAST), 143-152, 2012
3952012
Public behavior response analysis in disaster events utilizing visual analytics of microblog data
J Chae, D Thom, Y Jang, SY Kim, T Ertl, DS Ebert
Computers & Graphics 38, 51-60, 2014
2382014
Spatiotemporal anomaly detection through visual analysis of geolocated twitter messages
D Thom, H Bosch, S Koch, M Wörner, T Ertl
2012 IEEE pacific visualization symposium, 41-48, 2012
2362012
Scatterblogs2: Real-time monitoring of microblog messages through user-guided filtering
H Bosch, D Thom, F Heimerl, E Püttmann, S Koch, R Krüger, M Wörner, ...
IEEE Transactions on Visualization and Computer Graphics 19 (12), 2022-2031, 2013
1932013
Thematic patterns in georeferenced tweets through space-time visual analytics
G Andrienko, N Andrienko, H Bosch, T Ertl, G Fuchs, P Jankowski, ...
Computing in Science & Engineering 15 (3), 72-82, 2013
1522013
Trajectorylenses–a set‐based filtering and exploration technique for long‐term trajectory data
R Krüger, D Thom, M Wörner, H Bosch, T Ertl
Computer Graphics Forum 32 (3pt4), 451-460, 2013
1162013
Integrating predictive analytics and social media
Y Lu, R Krüger, D Thom, F Wang, S Koch, T Ertl, R Maciejewski
2014 IEEE Conference on Visual Analytics Science and Technology (VAST), 193-202, 2014
892014
Visual analysis of movement behavior using web data for context enrichment
R Krueger, D Thom, T Ertl
2014 IEEE Pacific Visualization Symposium, 193-200, 2014
862014
VOST: A case study in voluntary digital participation for collaborative emergency management
R Fathi, D Thom, S Koch, T Ertl, F Fiedrich
Information Processing & Management 57 (4), 102174, 2020
802020
Scatterblogs: Geo-spatial document analysis
H Bosch, D Thom, M Wörner, S Koch, E Püttmann, D Jäckle, T Ertl
2011 IEEE Conference on Visual Analytics Science and Technology (VAST), 309-310, 2011
542011
A Case Study of Visual Social Media Analytics for Situation Awareness
D Thom, R Krüger, T Ertl, U Bechstedt, A Platz, J Zisgen, B Volland
IEEE Pacific Visualization Symposium, 2015
53*2015
Semantic enrichment of movement behavior with foursquare–a visual analytics approach
R Krueger, D Thom, T Ertl
IEEE transactions on visualization and computer graphics 21 (8), 903-915, 2014
442014
Can Twitter save lives? A broad-scale study on visual social media analytics for public safety
D Thom, R Krüger, T Ertl
IEEE transactions on visualization and computer graphics 22 (7), 1816-1829, 2015
412015
An integrated in-situ approach to impacts from natural disasters on critical infrastructures
S Mittelstädt, X Wang, T Eaglin, D Thom, D Keim, W Tolone, W Ribarsky
2015 48th Hawaii International Conference on System Sciences, 1118-1127, 2015
352015
Bird's‐Eye‐Large‐Scale Visual Analytics of City Dynamics using Social Location Data
R Krueger, Q Han, N Ivanov, S Mahtal, D Thom, H Pfister, T Ertl
Computer Graphics Forum 38 (3), 595-607, 2019
212019
Using large scale aggregated knowledge for social media location discovery
D Thom, H Bosch, R Krueger, T Ertl
2014 47th Hawaii international conference on system sciences, 1464-1473, 2014
202014
Inverse document density: A smooth measure for location-dependent term irregularities
D Thom, H Bosch, T Ertl
Proceedings of COLING 2012, 2603-2618, 2012
182012
Using social media content in the visual analysis of movement data
R Krüger, S Lohmann, D Thom, H Bosch, T Ertl
2nd Workshop on Interactive Visual Text Analytics, 2012
172012
SemSor: Combining social and semantic web to support the analysis of emergency situations
P Heim, D Thom, T Ertl
Proceedings of the 2nd Workshop on Semantic Models for Adaptive Interactive …, 2011
162011
The normalized compression distance as a distance measure in entity identification
S Klenk, D Thom, G Heidemann
Industrial Conference on Data Mining, 325-337, 2009
152009
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Články 1–20