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Clemens Havas
Clemens Havas
Other namesClemens Rudolf Havas
University of Applied Sciences, Salzburg
Verified email at fh-salzburg.ac.at - Homepage
Title
Cited by
Cited by
Year
Combining machine-learning topic models and spatiotemporal analysis of social media data for disaster footprint and damage assessment
B Resch, F Usländer, C Havas
Cartography and geographic information science 45 (4), 362-376, 2018
2262018
An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time
NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, ...
Science advances 7 (10), eabd6989, 2021
1462021
E2mc: Improving emergency management service practice through social media and crowdsourcing analysis in near real time
C Havas, B Resch, C Francalanci, B Pernici, G Scalia, ...
Sensors 17 (12), 2766, 2017
832017
# London2012: Towards citizen-contributed urban planning through sentiment analysis of twitter data
A Kovacs-Gyori, A Ristea, C Havas, B Resch, P Cabrera-Barona
Urban Planning 3 (1), 75-99, 2018
412018
Opportunities and challenges of geospatial analysis for promoting urban livability in the era of big data and machine learning
A Kovacs-Györi, A Ristea, C Havas, M Mehaffy, HH Hochmair, B Resch, ...
ISPRS International Journal of Geo-Information 9 (12), 752, 2020
272020
Adapting mobile map application designs to map use context: a review and call for action on potential future research themes
M Bartling, B Resch, T Reichenbacher, CR Havas, AC Robinson, ...
Cartography and Geographic Information Science 49 (3), 237-251, 2022
222022
Automated seeded latent dirichlet allocation for social media based event detection and mapping
C Ferner, C Havas, E Birnbacher, S Wegenkittl, B Resch
Information 11 (8), 376, 2020
182020
A conditional gan for generating time series data for stress detection in wearable physiological sensor data
M Ehrhart, B Resch, C Havas, D Niederseer
Sensors 22 (16), 5969, 2022
152022
Portability of semantic and spatial–temporal machine learning methods to analyse social media for near-real-time disaster monitoring
C Havas, B Resch
Natural Hazards 108 (3), 2939-2969, 2021
112021
Modeling patterns in map use contexts and mobile map design usability
M Bartling, CR Havas, S Wegenkittl, T Reichenbacher, B Resch
ISPRS International Journal of Geo-Information 10 (8), 527, 2021
112021
Exploratory Spatiotemporal Language Analysis of Geo-Social Network Data for Identifying Movements of Refugees
A Petutschnig, CR Havas, B Resch, V Krieger, C Ferner
GI_Forum 1, 137-152, 2020
92020
Enhanced geocoding precision for location inference of tweet text using spaCy, Nominatim and Google Maps. A comparative analysis of the influence of data selection
HN Serere, B Resch, CR Havas
Plos one 18 (3), e0282942, 2023
62023
An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time (preprint)
NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, ...
52020
An early warning approach to monitor COVID-19 activity with multiple digital traces in near real-time. ArXiv
NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, ...
Preprint posted online July 3, 2020
52020
Evaluating the Representativeness of Socio-Demographic Variables over Time for Geo-Social Media Data
A Petutschnig, B Resch, S Lang, C Havas
ISPRS International Journal of Geo-Information 10 (5), 323, 2021
42021
Extracting and Geocoding Locations in Social Media Posts: A Comparative Analysis
HN Serere, B Resch, CR Havas, A Petutschnig
GI_Forum 2021, 9, 167-173, 2021
42021
Combining Machine-learning Topic Models and Spatio-temporal Analysis of Social Media Data for Disaster Footprint and Damage Assessment (vol 45, pg 362, 2018)
B Resch, F Uslander, C Havas
CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE 46 (1), 95-95, 2019
42019
Spatio-temporal machine learning analysis of social media data and refugee movement statistics
C Havas, L Wendlinger, J Stier, S Julka, V Krieger, C Ferner, ...
ISPRS International Journal of Geo-Information 10 (8), 498, 2021
32021
Identifying disaster impacted areas with machine learning and geospatial analysis using social media data
CR Havas, B Resch
2019
Planning Through Sentiment Analysis of Twitter Data
A Kovacs-Gyori, A Ristea, C Havas, B Resch, P Cabrera-Barona
2018
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Articles 1–20