This page presents a selection of the most relevant papers that I have published. You can find a complete list of my papers on others websites, such as Lattes (in Portuguese), DBLP Bibliography Server [1][2], Google Scholar, Research Gate and Academia.edu.

  1. Horita, F. E. A., Albuquerque, J.P., Marchezini, V., Mendiondo, E. M. Bridging the gap between decision-making and emerging big data sources: an application of a model-based framework to disaster management in Brazil. Decision Support Systems, 2017. DOI:10.1016/j.dss.2017.03.001.
  2. Horita, F. E. A., Albuquerque, J. P., Degrossi. L. C., Mendiondo, E. M., Ueyama, J. Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networksComputers & Geosciences 80, pp. 84-94, 2015. DOI:10.1016/j.cageo.2015.04.001.
  3. Horita, F. E. A., Degrossi, L. C., Assis, L. F. F. G., Zipf, A., Albuquerque, J. P. The use of Volunteered Geographic Information (VGI) and Crowdsourcing in Disaster Management: a Systematic Literature Review19th Americas Conference on Information Systems (AMCIS), Chicago, USA, 2013. [Website]
  4. Horita, F. E. A., Link, D., Albuquerque, J.P., Hellingrath, B. oDMN: An Integrated Model to Connect Decision-Making Needs to Emerging Data Sources in Disaster ManagementHICSS 2016 – Hawaii International Conference on System Sciences. Kauai, Hawaii [PDF]
  5. Albuquerque, J. P., Horita, F. E. A., Degrossi, L. C., Rocha, R. S., Andrade, S. C., Restrepo-Estrada, C. Leveraging Volunteered Geographic Information for improving disaster resilience: Lessons learned with AGORA and future research directions. In: Campelo, C., Bertolotto, M., Corcosan, P. (eds.). Volunteered Geographic Information and the Future of Geospatial Data. Idea Group Inc. pp. 158-184, 2017. DOI: 10.4018/978-1-5225-2446-5.
  6. Assis, L. F. F. G., Behnck, L. P., Doering, D., Freitas E. P., Pereira, C. P., Horita, F. E. A., Ueyama, J., Albuquerque, J. P. Dynamic Sensor Management: Extending Sensor Web for Near Real-Time Mobile Sensor Integration in Dynamic Scenarios. 30th IEEE International Conference on Advanced Information Networking and Applications (AINA), pp.1-8. Crans-Montana, Switzerland, 2016. DOI:10.1109/AINA.2016.100
  7. Link, D., Horita, F. E. A., Albuquerque, J. P., Hellingrath, B., Ghasemivandhonaryar, S. A Method for Extracting Task­-related Information from Social Media based on Structured Domain Knowledge. 21st Americas Conference on Information Systems (AMCIS). El Conquistador, Porto Rico, 2015. [PDF]