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 Predicting Lung Disease Severity Via Image-based Aqi Analysis Using Deep Learning Techniques, by Anvita Mahajan et al.
Predicting Lung Disease Severity via Image-Based AQI Analysis using Deep Learning Techniquesby Anvita Mahajan, Sayali…
Summary of Nonnegative Matrix Factorization in Dimensionality Reduction: a Survey, by Farid Saberi-movahed et al.
Nonnegative Matrix Factorization in Dimensionality Reduction: A Surveyby Farid Saberi-Movahed, Kamal Berahman, Razieh Sheikhpour, Yuefeng…
Summary of Lighttr: a Lightweight Framework For Federated Trajectory Recovery, by Ziqiao Liu et al.
LightTR: A Lightweight Framework for Federated Trajectory Recoveryby Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi…
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,…
Summary of Decoupling Feature Extraction and Classification Layers For Calibrated Neural Networks, by Mikkel Jordahn and Pablo M. Olmos
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networksby Mikkel Jordahn, Pablo M. OlmosFirst…
Summary of Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations, by Marshall Mueller et al.
Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulationsby Marshall Mueller, James M. Murphy, Abiy TasissaFirst…
Summary of Leveraging Pre-trained Cnns For Efficient Feature Extraction in Rice Leaf Disease Classification, by Md. Shohanur Islam Sobuj et al.
Leveraging Pre-trained CNNs for Efficient Feature Extraction in Rice Leaf Disease Classificationby Md. Shohanur Islam…
Summary of Utilizing Machine Learning and 3d Neuroimaging to Predict Hearing Loss: a Comparative Analysis Of Dimensionality Reduction and Regression Techniques, by Trinath Sai Subhash Reddy Pittala et al.
Utilizing Machine Learning and 3D Neuroimaging to Predict Hearing Loss: A Comparative Analysis of Dimensionality…
Summary of Cvtn: Cross Variable and Temporal Integration For Time Series Forecasting, by Han Zhou et al.
CVTN: Cross Variable and Temporal Integration for Time Series Forecastingby Han Zhou, Yuntian ChenFirst submitted…