Analysis of Social Media Data using Multimodal Deep Learning for
Disaster Response

Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response

14 April 2020

Firoj Alam

Papers citing "Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response"

16 / 16 papers shown

Title
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning L. Yang Wei Emma Zhang Quan Z. Sheng Weitong Chen L. Yao Weitong Chen A. Shakeri 70 0 0 11 May 2025
WildFireCan-MMD: A Multimodal Dataset for Classification of User-Generated Content During Wildfires in Canada Braeden Sherritt Isar Nejadgholi Marzieh Amini VLM 110 0 0 17 Apr 2025
Multimodal Deep Learning Cem Akkus Jiquan Ngiam Vladana Djakovic Steffen Jauch-Walser A. Khosla ... Jann Goschenhofer Honglak Lee A. Ng Daniel Schalk Matthias Aßenmacher 112 3,169 0 12 Jan 2023
SemEval-2017 Task 4: Sentiment Analysis in Twitter Sara Rosenthal N. Farra Preslav Nakov VLM 82 798 0 02 Dec 2019
Graph Based Semi-supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets Firoj Alam Shafiq Joty Muhammad Imran 29 73 0 02 May 2018
Seeing Voices and Hearing Faces: Cross-modal biometric matching Arsha Nagrani Samuel Albanie Andrew Zisserman CVBM 77 220 0 01 Apr 2018
Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises T. Nguyen Firoj Alam Ferda Ofli Muhammad Imran 46 86 0 09 Apr 2017
How Transferable are CNN-based Features for Age and Gender Classification? Gökhan Özbulak Y. Aytar H. K. Ekenel CVBM 51 105 0 01 Oct 2016
Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks T. Nguyen Kamla Al-Mannai Shafiq Joty Hassan Sajjad Muhammad Imran P. Mitra 41 102 0 12 Aug 2016
Fusing Audio, Textual and Visual Features for Sentiment Analysis of News Videos Moisés H. R. Pereira F. Pádua A. Pereira Fabrício Benevenuto D. H. Dalip 33 34 0 09 Apr 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,289 0 11 Feb 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 231 8,336 0 06 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 457 43,649 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 665 31,489 0 16 Jan 2013
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 150 6,624 0 22 Dec 2012