Summary of Ice-search: a Language Model-driven Feature Selection Approach, by Tianze Yang et al.
ICE-SEARCH: A Language Model-Driven Feature Selection Approachby Tianze Yang, Tianyi Yang, Fuyuan Lyu, Shaoshan LiuFirst…
Summary of Fair Multivariate Adaptive Regression Splines For Ensuring Equity and Transparency, by Parian Haghighat et al.
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparencyby Parian Haghighat, Denisa G'andara, Lulu…
Summary of Compact Nsga-ii For Multi-objective Feature Selection, by Sevil Zanjani Miyandoab et al.
Compact NSGA-II for Multi-objective Feature Selectionby Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian BidgoliFirst submitted…
Summary of Fast: An Optimization Framework For Fast Additive Segmentation in Transparent Ml, by Brian Liu and Rahul Mazumder
FAST: An Optimization Framework for Fast Additive Segmentation in Transparent MLby Brian Liu, Rahul MazumderFirst…
Summary of Cluster Metric Sensitivity to Irrelevant Features, by Miles Mccrory and Spencer A. Thomas
Cluster Metric Sensitivity to Irrelevant Featuresby Miles McCrory, Spencer A. ThomasFirst submitted to arxiv on:…
Summary of Ransomware Detection Using Stacked Autoencoder For Feature Selection, by Mike Nkongolo and Mahmut Tokmak
Ransomware detection using stacked autoencoder for feature selectionby Mike Nkongolo, Mahmut TokmakFirst submitted to arxiv…
Summary of Analysis and Mortality Prediction Using Multiclass Classification For Older Adults with Type 2 Diabetes, by Ruchika Desure et al.
Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetesby Ruchika…
Summary of Statistical and Machine Learning Models For Predicting Fire and Other Emergency Events, by Dilli Prasad Sharma et al.
Statistical and Machine Learning Models for Predicting Fire and Other Emergency Eventsby Dilli Prasad Sharma,…
Summary of Mel: Efficient Multi-task Evolutionary Learning For High-dimensional Feature Selection, by Xubin Wang et al.
MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selectionby Xubin Wang, Haojiong Shangguan, Fengyi Huang,…
Summary of A Hybrid Indrnnlstm Approach For Real-time Anomaly Detection in Software-defined Networks, by Sajjad Salem et al.
A hybrid IndRNNLSTM approach for real-time anomaly detection in software-defined networksby Sajjad Salem, Salman AsoudehFirst…