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GOAL 13: Climate Action
GOAL 13: Climate Action
In Press
Hafiz Budi Firmansyah,  Jose Luis Fernandez Marquez,  Oguz Mulayim,  Jorge Gomes,  Joao Ribeiro,  & Valerio Lorini (In Press). Empowering Crisis Response Efforts: A Novel Approach to Geolocating Social Media Images for Enhanced Situational Awareness. Accepted at ISCRAM 2024 - International Conference on Information Systems for Crisis Response and Management. May 25-29, 2024, Münster, Germany . [BibTeX]
Hafiz Budi Firmansyah,  Jose Luis Fernandez Marquez,  Oguz Mulayim,  Jorge Gomes,  & Valerio Lorini (2024). Accelerating Crisis Response: Automated Image Classification for Geolocating Social Media Content. Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (pp. 77–81). Association for Computing Machinery. [BibTeX]  [PDF]
Carlo Bono,  Oguz Mulayim,  Cinzia Cappiello,  Mark James Carman,  Jesus Cerquides,  Jose Luis Fernandez Marquez,  Maria Rosa Mondardini,  Edoardo Ramalli,  & Barbara Pernici (2023). A Citizen Science Approach for Analyzing Social Media With Crowdsourcing. IEEE Access, 11, 15329-15347. [BibTeX]  [PDF]
Bjoern Komander,  Jesus Cerquides,  Jaume Piera,  Jeffrey Chan,  & Azadeh Alavi (2023). Expert Finding for Citizen Science. Artificial Intelligence Research and Development (pp 59--69). IOS Press. [BibTeX]  [PDF]
Carlo Bono,  Oguz Mulayim,  & Barbara Pernici (2023). Learning Early Detection of Emergencies from Word Usage Patterns on Social Media. Terje Gjøsæter, Jaziar Radianti, & Yuko Murayama (Eds.), Information Technology in Disaster Risk Reduction (pp. 308--323). Springer Nature Switzerland. [BibTeX]  [PDF]
Hafiz Budi Firmansyah,  Jose Luis Fernandez-Marquez,  Jesus Cerquides,  & Giovanna Di Marzo Serugendo (2023). Single or Ensemble Model ? A Study on Social Media Images Classification in Disaster Response. The 10th Multidisciplinary International Social Networks Conference (pp. 48--54). Association for Computing Machinery. [BibTeX]  [PDF]
Fabio Murgese,  Gerard Alcaina,  Oguz Mulayim,  Jesus Cerquides,  & Jose Luis Fernandez Marquez (2022). Automatic Outdoor Image Geolocation with Focal Modulation Networks. Atia Cortés, Francisco Grimaldo, & Tommaso Flaminio (Eds.), Frontiers in Artificial Intelligence and Applications, Vol. 356: Artificial Intelligence Research and Development (pp 279--288). IOS Press. [BibTeX]  [PDF]
Jesus Cerquides (2022). crowdnalysis: A software library to help analyze crowdsourcing results. [BibTeX]
Dave de Jonge,  Filippo Bistaffa,  & Jordi Levy (2022). Multi-Objective Vehicle Routing with Automated Negotiation. Applied Intelligence, 52, 16916-16939. [BibTeX]  [PDF]
Barbara Pernici,  Carlo Bono,  Jose Luis Fernandez Marquez,  & Oguz Mulayim (2022). The Challenge of Collecting and Analyzing Information from Citizens and Social Media in Emergencies: The Crowd4SDG Experience and Tools. Renata Guizzardi, Jolita Ralyté, & Xavier Franch (Eds.), Research Challenges in Information Science: 16th International Conference, RCIS 2022, Proceedings (pp. 823-824). Springer. [BibTeX]  [PDF]
Carlo Bono,  Barbara Pernici,  Jose Luis Fernandez Marquez,  Amudha Ravi Shankar,  Oguz Mulayim,  & Edoardo Nemni (2022). TriggerCit: Early Flood Alerting using Twitter and Geolocation - a comparison with alternative sources. Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 674--686). [BibTeX]  [PDF]
Jesus Cerquides,  Oguz Mulayim,  Jeronimo Hernandez-Gonzalez,  Amudha Ravi Shankar,  & Jose Luis Fernandez Marquez (2021). A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data. Mathematics, 9. [BibTeX]  [PDF]