Summary of Blind Separation Of Vibration Sources Using Deep Learning and Deconvolution, by Igor Makienko et al.
Blind Separation of Vibration Sources using Deep Learning and Deconvolutionby Igor Makienko, Michael Grebshtein, Eli…
Summary of Alzheimer’s Magnetic Resonance Imaging Classification Using Deep and Meta-learning Models, by Nida Nasir et al.
Alzheimer’s Magnetic Resonance Imaging Classification Using Deep and Meta-Learning Modelsby Nida Nasir, Muneeb Ahmed, Neda…
Summary of A Systematic Review on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence, by Tayab Uddin Wara et al.
A Systematic Review on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligenceby Tayab…
Summary of Deep Learning in Earthquake Engineering: a Comprehensive Review, by Yazhou Xie
Deep Learning in Earthquake Engineering: A Comprehensive Reviewby Yazhou XieFirst submitted to arxiv on: 15…
Summary of Fighter Flight Trajectory Prediction Based on Spatio-temporal Graphcial Attention Network, by Yao Sun (1) et al.
Fighter flight trajectory prediction based on spatio-temporal graphcial attention networkby Yao Sun, Tengyu Jing, Jiapeng…
Summary of Analysis Of the Rate Of Convergence Of An Over-parametrized Convolutional Neural Network Image Classifier Learned by Gradient Descent, By Michael Kohler et al.
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned…
Summary of Greedyvig: Dynamic Axial Graph Construction For Efficient Vision Gnns, by Mustafa Munir et al.
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNsby Mustafa Munir, William Avery, Md Mostafijur…
Summary of Quakebert: Accurate Classification Of Social Media Texts For Rapid Earthquake Impact Assessment, by Jin Han et al.
QuakeBERT: Accurate Classification of Social Media Texts for Rapid Earthquake Impact Assessmentby Jin Han, Zhe…
Summary of Deepdamagenet: a Two-step Deep-learning Model For Multi-disaster Building Damage Segmentation and Classification Using Satellite Imagery, by Irene Alisjahbana et al.
DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imageryby…
Summary of Interpretable Network Visualizations: a Human-in-the-loop Approach For Post-hoc Explainability Of Cnn-based Image Classification, by Matteo Bianchi et al.
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classificationby Matteo Bianchi,…