Summary of Motif-aware Riemannian Graph Neural Network with Generative-contrastive Learning, by Li Sun et al.
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learningby Li Sun, Zhenhao Huang, Zixi Wang, Feiyang…
Summary of Optimal Rates Of Kernel Ridge Regression Under Source Condition in Large Dimensions, by Haobo Zhang et al.
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensionsby Haobo Zhang, Yicheng…
Summary of Automating Leukemia Diagnosis with Autoencoders: a Comparative Study, by Minoo Sayyadpour et al.
Automating Leukemia Diagnosis with Autoencoders: A Comparative Studyby Minoo Sayyadpour, Nasibe Moghaddamniya, Touraj BanirostamFirst submitted…
Summary of Attractor Reconstruction with Reservoir Computers: the Effect Of the Reservoir’s Conditional Lyapunov Exponents on Faithful Attractor Reconstruction, by Joseph D. Hart
Attractor reconstruction with reservoir computers: The effect of the reservoir’s conditional Lyapunov exponents on faithful…
Summary of Evaluating the Fairness Of the Mimic-iv Dataset and a Baseline Algorithm: Application to the Icu Length Of Stay Prediction, by Alexandra Kakadiaris
Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU…
Summary of Improve Fidelity and Utility Of Synthetic Credit Card Transaction Time Series From Data-centric Perspective, by Din-yin Hsieh et al.
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspectiveby Din-Yin…
Summary of Robust Meta-model For Predicting the Need For Blood Transfusion in Non-traumatic Icu Patients, by Alireza Rafiei et al.
Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patientsby Alireza Rafiei,…
Summary of Facebook Report on Privacy Of Fnirs Data, by Md Imran Hossen et al.
Facebook Report on Privacy of fNIRS databy Md Imran Hossen, Sai Venkatesh Chilukoti, Liqun Shan,…
Summary of Downstream Task-oriented Generative Model Selections on Synthetic Data Training For Fraud Detection Models, by Yinan Cheng et al.
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Modelsby Yinan Cheng,…
Summary of Machine Learning Classification Of Alzheimer’s Disease Stages Using Cerebrospinal Fluid Biomarkers Alone, by Vivek Kumar Tiwari et al.
Machine Learning Classification of Alzheimer’s Disease Stages Using Cerebrospinal Fluid Biomarkers Aloneby Vivek Kumar Tiwari,…