A Neural Network-Based Situational Awareness Approach for Emergency Response
Original version
Lazreg, M. B. (2020). A Neural Network-Based Situational Awareness Approach for Emergency Response (Doctoral thesis). University of Agder, Kristiansand.Has parts
Paper I: Lazreg, M. B., Chakraborty, N. R., Stieglitz, S., Potthoff, T., Ross, B. & Majchrzak, T. A. Social Media Analysis in Crisis Situations: Can Social Media be a Reliable Information Source for Emergency Management Services? In B. Andersson, B. Johansson, S. Carlsson, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Designing Digitalization (ISD2018 Proceedings). Lund, Sweden: Lund University. http://aisel.aisnet.org/isd2014/proceedings2018/Transforming/6. Author´s accepted manuscript. Full-text is not available in AURA as a separate file.Paper II: Lazreg, M. B., Goodwin, M., Granmo, O.-C. (2019). Combining a context aware neural network with a denoising autoencoder for measuring string similarities. Computer Speech & Language, 60: 101028. doi https://doi.org/10.1016/j.csl.2019.101028. Author´s accepted manuscript. Full-text is not available in AURA as a separate file.
Paper III: Lazreg, M. B., Goodwin, M. & Granmo, O.-C. (Forthcoming). A Neural Turing~Machine for Conditional Transition Graph Modeling. Author-submitted article. IEEE Transactions on Neural Networks and Learning Systems. Author-submitted article. Full-text is not available in AURA as a separate file.
Paper IV: Lazreg, M. B., Goodwin, M. & Granmo, O.-C. (2019). An Iterative Information Retrieval Approach from Social Media in Crisis Situations. In International Conference on Information and Communication Technologies for Disaster Management. Paris, France. doi: https://doi.org/10.1109/ICT-DM47966.2019.9033008. Author´s accepted manuscript. Full-text is not available in AURA as a separate file.
Paper V: Lazreg, M. B., Noori, N. S., Comes, T. & Goodwin, M. (2019). Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers. In P. Barnaghi & G. Gottlob (Eds.), IEEE/WIC/ACM International Conference on Web Intelligence (WI '19). New York, United States: Association for Computing Machinery. doi: https://doi.org/10.1145/3350546.3352551. Author´s accepted manuscript. Full-text is not available in AURA as a separate file.
Paper VI: Lazreg, M. B., Anjum, U., Zadorozhny, V. & Goodwin, M. (Forthcoming). Semantic Decay Filter for Event Detection. In the 17th International Conference on Information Systems for Crisis Response and Management. Valencia, Spain: ISCRAM. Author-submitted article. Full-text is not available in AURA as a separate file.