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Feature Selection: A Data Perspective
v1v2v3v4v5 (latest)

Feature Selection: A Data Perspective

29 January 2016
Jundong Li
Kewei Cheng
Suhang Wang
Fred Morstatter
Robert P. Trevino
Jiliang Tang
Huan Liu
ArXiv (abs)PDFHTML

Papers citing "Feature Selection: A Data Perspective"

24 / 24 papers shown
Title
Determining the severity of Parkinson's disease in patients using a
  multi task neural network
Determining the severity of Parkinson's disease in patients using a multi task neural network
María Teresa García-Ordás
J. Benítez-Andrades
José Aveleira-Mata
José-Manuel Alija-Pérez
Carmen Benavides
59
14
0
08 Feb 2024
LLpowershap: Logistic Loss-based Automated Shapley Values Feature
  Selection Method
LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection Method
I. Madakkatel
Elina Hyppönen
FAtt
37
4
0
23 Jan 2024
A novel feature selection framework for incomplete data
A novel feature selection framework for incomplete data
Cong Guo
40
3
0
07 Dec 2023
Group-Feature (Sensor) Selection With Controlled Redundancy Using Neural
  Networks
Group-Feature (Sensor) Selection With Controlled Redundancy Using Neural Networks
Aytijhya Saha
Nikhil R. Pal
31
1
0
31 Oct 2023
Finding Optimal Diverse Feature Sets with Alternative Feature Selection
Finding Optimal Diverse Feature Sets with Alternative Feature Selection
Jakob Bach
204
1
0
21 Jul 2023
Towards Task Sampler Learning for Meta-Learning
Towards Task Sampler Learning for Meta-Learning
Wenwen Qiang
Jingyao Wang
Xingzhe Su
Changwen Zheng
Gang Hua
Hui Xiong
108
11
0
18 Jul 2023
Feature Selection: A perspective on inter-attribute cooperation
Feature Selection: A perspective on inter-attribute cooperation
Gustavo Sosa-Cabrera
Santiago Gómez-Guerrero
M. García-Torres
C. Schaerer
15
9
0
28 Jun 2023
Beyond Discrete Selection: Continuous Embedding Space Optimization for
  Generative Feature Selection
Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection
Meng Xiao
Dongjie Wang
Min-Ying Wu
P. Wang
Yuanchun Zhou
Yanjie Fu
76
24
0
26 Feb 2023
High-Order Conditional Mutual Information Maximization for dealing with
  High-Order Dependencies in Feature Selection
High-Order Conditional Mutual Information Maximization for dealing with High-Order Dependencies in Feature Selection
F. Souza
C. Premebida
Rui Araújo
35
28
0
18 Jul 2022
Unsupervised Feature Ranking via Attribute Networks
Unsupervised Feature Ranking via Attribute Networks
U. Primozic
Blaž Škrlj
Jannis Brugger
Matej Petković
37
2
0
25 Nov 2021
Fairness-Aware Unsupervised Feature Selection
Fairness-Aware Unsupervised Feature Selection
Xiaoying Xing
Hongfu Liu
Chen Chen
Jundong Li
FaML
65
14
0
04 Jun 2021
Hybrid gene selection approach using XGBoost and multi-objective genetic
  algorithm for cancer classification
Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification
Xiongshi Deng
Min Li
Shaobo Deng
Lei Wang
38
100
0
30 May 2021
Granular conditional entropy-based attribute reduction for partially
  labeled data with proxy labels
Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels
C. Gao
Jie Zhoua
Duoqian Miao
Xiaodong Yue
Jun Wan
25
35
0
23 Jan 2021
Orthogonal Least Squares Based Fast Feature Selection for Linear
  Classification
Orthogonal Least Squares Based Fast Feature Selection for Linear Classification
Sikai Zhang
Z. Lang
42
17
0
21 Jan 2021
Curvature-based Feature Selection with Application in Classifying
  Electronic Health Records
Curvature-based Feature Selection with Application in Classifying Electronic Health Records
Z. Zuo
Jie Li
Han Xu
Noura Al Moubayed
49
18
0
10 Jan 2021
Improving Sample and Feature Selection with Principal Covariates
  Regression
Improving Sample and Feature Selection with Principal Covariates Regression
Rose K. Cersonsky
B. Helfrecht
Edgar A. Engel
Michele Ceriotti
40
33
0
22 Dec 2020
A Hybrid Intrusion Detection with Decision Tree for Feature Selection
A Hybrid Intrusion Detection with Decision Tree for Feature Selection
Mubarak Albarka Umar
Zhanfang Chen
Yan Liu
45
11
0
24 Sep 2020
Multi-Participant Multi-Class Vertical Federated Learning
Multi-Participant Multi-Class Vertical Federated Learning
Siwei Feng
Han Yu
FedML
84
88
0
30 Jan 2020
Causality-based Feature Selection: Methods and Evaluations
Causality-based Feature Selection: Methods and Evaluations
Kui Yu
Xianjie Guo
Lin Liu
Jiuyong Li
Hao Wang
Zhaolong Ling
Xindong Wu
CML
90
97
0
17 Nov 2019
A Feature Selection Based on Perturbation Theory
A Feature Selection Based on Perturbation Theory
J. R. Anaraki
Hamid Usefi
AAML
33
23
0
26 Feb 2019
Distributed ReliefF based Feature Selection in Spark
Distributed ReliefF based Feature Selection in Spark
Raul-Jose Palma-Mendoza
Daniel Rodríguez
Luis de-Marcos
45
66
0
01 Nov 2018
A Survey of Learning Causality with Data: Problems and Methods
A Survey of Learning Causality with Data: Problems and Methods
Ruocheng Guo
Lu Cheng
Jundong Li
P. R. Hahn
Huan Liu
CML
77
168
0
25 Sep 2018
Effective injury forecasting in soccer with GPS training data and
  machine learning
Effective injury forecasting in soccer with GPS training data and machine learning
A. Rossi
Luca Pappalardo
Paolo Cintia
M. Iaia
Javier Fernández
Daniel Medina
60
211
0
23 May 2017
Unsupervised Feature Selection Based on the Morisita Estimator of
  Intrinsic Dimension
Unsupervised Feature Selection Based on the Morisita Estimator of Intrinsic Dimension
J. Golay
M. Kanevski
63
21
0
19 Aug 2016
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