High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso

High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso

2 February 2012

Wittawat Jitkrittum

Masashi Sugiyama

Papers citing "High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso"

17 / 17 papers shown

Title
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma Christoph Wehner Chrysa Iliopoulou Ute Schmid Tarek R. Besold 60 0 0 03 Jun 2024
Health Monitoring of Movement Disorder Subject based on Diamond Stacked Sparse Autoencoder Ensemble Model Likun Tang Jie Ma Yongming Li 8 0 0 15 Mar 2023
Structural Explanations for Graph Neural Networks using HSIC Ayato Toyokuni Makoto Yamada 24 1 0 04 Feb 2023
Graph Convolutional Network-based Feature Selection for High-dimensional and Low-sample Size Data Can Chen Scott T. Weiss Yang-Yu Liu 29 17 0 25 Nov 2022
A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model Chuanyan Zhou Jie Ma Fan Li Yongming Li Pin Wang Xiaoheng Zhang 18 0 0 25 Oct 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection Bingzhe Wu Jintang Li Junchi Yu Yatao Bian Hengtong Zhang ... Guangyu Sun Peng Cui Zibin Zheng Zhe Liu P. Zhao OOD 37 25 0 20 May 2022
LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links Akihito Sudo Teck-Hou Teng Masaki Yamaguchi Yoshinori Tone 18 0 0 27 Aug 2021
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods Chirag Agarwal Marinka Zitnik Himabindu Lakkaraju 27 51 0 16 Jun 2021
Review of Swarm Intelligence-based Feature Selection Methods M. Rostami K. Berahmand Saman Forouzandeh 17 321 0 07 Aug 2020
FsNet: Feature Selection Network on High-dimensional Biological Data Dinesh Singh Héctor Climente-González Mathis Petrovich Eiryo Kawakami M. Yamada 13 47 0 23 Jan 2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks Q. Huang M. Yamada Yuan Tian Dinesh Singh Dawei Yin Yi-Ju Chang FAtt 37 344 0 17 Jan 2020
A Generalizable Method for Automated Quality Control of Functional Neuroimaging Datasets Matthew Kollada Qingzhu Gao Monika S. Mellem Tathagata Banerjee William J. Martin 8 3 0 20 Dec 2019
A Feature Selection Based on Perturbation Theory J. R. Anaraki Hamid Usefi AAML 20 23 0 26 Feb 2019
Structured nonlinear variable selection Magda Gregorova Alexandros Kalousis Stéphane Marchand-Maillet CML 17 9 0 16 May 2018
Large-scale Nonlinear Variable Selection via Kernel Random Features Magda Gregorova Jason Ramapuram Alexandros Kalousis Stéphane Marchand-Maillet 28 5 0 19 Apr 2018
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data M. Yamada Jiliang Tang Jose Lugo-Martinez Ermin Hodzic Raunak Shrestha ... Hiroshi Mamitsuka Cenk Sahinalp P. Radivojac Filippo Menczer Yi-Ju Chang 27 65 0 14 Aug 2016
Global Sensitivity Analysis with Dependence Measures Sébastien Da Veiga 65 160 0 11 Nov 2013