A comparative study on disaster detection from social media images using deep learning

CCDS Authors

M Ashraful Amin, PhD

Founder DirectorDirector, Artificial Intelligence & Machine Learing WingDirector, Human-Computer Interaction WingDirector, Data Science Wing

References

1. 1.Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, Zbigniew Wojna. (2016). Rethinking the Inception Architecture for Computer Vision. , 2818–2826[10.1109/cvpr.2016.308]
2. 2.Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi. (2017). Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. [10.1609/aaai.v31i1.11231]
3. 3.Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi. (2017). Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1)[10.1609/aaai.v31i1.11231]
4. 4.Xiangyu Zhang, Jianhua Zou, Kaiming He, Jian Sun. (2015). Accelerating Very Deep Convolutional Networks for Classification and Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(10), 1943–1955[10.1109/tpami.2015.2502579]
5. 5.Khan Muhammad, Jamil Ahmad, Sung Wook Baik. (2017). Early fire detection using convolutional neural networks during surveillance for effective disaster management. Neurocomputing, 288, 30–42[10.1016/j.neucom.2017.04.083]
6. 6.Dat T. Nguyen, Ferda Ofli, Muhammad Imran, Prasenjit Mitra. (2017). Damage Assessment from Social Media Imagery Data During Disasters. , 569–576[10.1145/3110025.3110109]
7. 7.Firoj Alam, Muhammad Imran, Ferda Ofli. (2017). Image4Act. , 601–604[10.1145/3110025.3110164]
8. 8.Hussein Mouzannar, Yara Rizk, Mariette Awad. (2018). Damage Identification in Social Media Posts using Multimodal Deep Learning.. ISCRAM
9. 9.Konstantinos Avgerinakis, Anastasia Moumtzidou, Stelios Andreadis, Emmanouil Michail, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris. (2017). Visual and Textual Analysis of Social Media and Satellite Images for Flood Detection @ Multimedia Satellite Task MediaEval 2017.. MediaEval
10. 10.Yara Rizk, Hadi S. Jomaa, Mariette Awad, Carlos Castillo. (2019). A computationally efficient multi-modal classification approach of disaster-related Twitter images. , 2050–2059[10.1145/3297280.3297481]
11. 11.M. Ashraful Amin, Mahmood Kazi Mohammed. (2015). Overview of the ImageCLEF 2015 medical clustering task. CLEF (Working Notes)
12. 12.Panagiotis Giannakeris, Konstantinos Avgerinakis, Αναστάσιος Καρακώστας, Stefanos Vrochidis, Ioannis Kompatsiaris. (2018). People and Vehicles in Danger - A Fire and Flood Detection System in Social Media. , 1–5[10.1109/ivmspw.2018.8448732]
13. 13.Anouck Adrot, Rob Grace, Christopher W. Zobel, Kathleen Moore. (2021). 18th International Conference on Information Systems for Crisis Response and Management. HAL (Le Centre pour la Communication Scientifique Directe)