Clemens  Havas
Clemens Havas
PhD Candidate in Applied Geoinformatics, University of Salzburg
Bestätigte E-Mail-Adresse bei sbg.ac.at - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1222018
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
492021
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
372017
# 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
252018
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
62020
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
52020
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
42020
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
32020
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
12021
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
12019
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
2021
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
2021
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
2021
Perspectives on battling COVID-19 in countries of Latin America and the Caribbean
NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, ...
American Association for the Advancement of Science, 2021
2021
Online teaching and learning in higher education: Lessons learned in crisis situations
NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, ...
American Association for the Advancement of Science, 2021
2021
Identifying disaster impacted areas with machine learning and geospatial analysis using social media data
CR Havas, B Resch
2019
Part II: Empirical quantification of Polish-German and German-Austrian cooperation in the field of logistic security for rescue operations in case of natural disasters
K Dmytrów, S Majewski, A Majewska, C Havas, B Resch
Polish-German-Austrian cross-border cooperation in the field of logistical …, 2018
2018
MARSHALL PLAN SCHOLARSHIP REPORT
C Havas
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