Summary of Classical Machine Learning: Seventy Years Of Algorithmic Learning Evolution, by Absalom E. Ezugwu et al.
Classical Machine Learning: Seventy Years of Algorithmic Learning Evolutionby Absalom E. Ezugwu, Yuh-Shan Ho, Ojonukpe…
Summary of A Multi-task Deep Learning Approach For Lane-level Pavement Performance Prediction with Segment-level Data, by Bo Wang and Wenbo Zhang and Yunpeng Li
A multi-task deep learning approach for lane-level pavement performance prediction with segment-level databy Bo Wang,…
Summary of Counterfactual Explanations For Medical Image Classification and Regression Using Diffusion Autoencoder, by Matan Atad et al.
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoderby Matan Atad, David Schinz,…
Summary of Trustworthy Machine Learning Under Social and Adversarial Data Sources, by Han Shao
Trustworthy Machine Learning under Social and Adversarial Data Sourcesby Han ShaoFirst submitted to arxiv on:…
Summary of Data-driven Machine Learning Approaches For Predicting In-hospital Sepsis Mortality, by Arseniy Shumilov et al.
Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortalityby Arseniy Shumilov, Yueting Zhu, Negin Ashrafi,…
Summary of Fair Risk Minimization Under Causal Path-specific Effect Constraints, by Razieh Nabi et al.
Fair Risk Minimization under Causal Path-Specific Effect Constraintsby Razieh Nabi, David BenkeserFirst submitted to arxiv…
Summary of Intuitionistic Fuzzy Generalized Eigenvalue Proximal Support Vector Machine, by A. Quadir et al.
Intuitionistic Fuzzy Generalized Eigenvalue Proximal Support Vector Machineby A. Quadir, M. A. Ganaie, M. TanveerFirst…
Summary of Using a Cnn Model to Assess Paintings’ Creativity, by Zhehan Zhang et al.
Using a CNN Model to Assess Paintings’ Creativityby Zhehan Zhang, Meihua Qian, Li Luo, Qianyi…
Summary of A Study Of Acquisition Functions For Medical Imaging Deep Active Learning, by Bonaventure F. P. Dossou
A Study of Acquisition Functions for Medical Imaging Deep Active Learningby Bonaventure F. P. DossouFirst…
Summary of Bayesian Nonparametrics Meets Data-driven Distributionally Robust Optimization, by Nicola Bariletto et al.
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimizationby Nicola Bariletto, Nhat HoFirst submitted to arxiv on:…