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Feature Selection: A Data Perspective

Feature Selection: A Data Perspective

29 January 2016
Jundong Li
Kewei Cheng
Suhang Wang
Fred Morstatter
Robert P. Trevino
Jiliang Tang
Huan Liu
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Papers citing "Feature Selection: A Data Perspective"

19 / 19 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
17
13
0
08 Feb 2024
A novel feature selection framework for incomplete data
A novel feature selection framework for incomplete data
Cong Guo
11
2
0
07 Dec 2023
Provable advantages of kernel-based quantum learners and quantum
  preprocessing based on Grover's algorithm
Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm
Till Muser
Elias Zapusek
Vasilis Belis
Florentin Reiter
30
5
0
25 Sep 2023
Finding Optimal Diverse Feature Sets with Alternative Feature Selection
Finding Optimal Diverse Feature Sets with Alternative Feature Selection
Jakob Bach
27
1
0
21 Jul 2023
Scalable variable selection for two-view learning tasks with projection
  operators
Scalable variable selection for two-view learning tasks with projection operators
S. Szedmák
Riikka Huusari
Tat Hong Duong Le
Juho Rousu
24
0
0
04 Jul 2023
Interpretable Linear Dimensionality Reduction based on Bias-Variance
  Analysis
Interpretable Linear Dimensionality Reduction based on Bias-Variance Analysis
Paolo Bonetti
Alberto Maria Metelli
Marcello Restelli
11
2
0
26 Mar 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
31
22
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
19
25
0
18 Jul 2022
Optimizing model-agnostic Random Subspace ensembles
Optimizing model-agnostic Random Subspace ensembles
V. A. Huynh-Thu
Pierre Geurts
13
2
0
07 Sep 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
9
95
0
30 May 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
9
17
0
21 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
14
31
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
13
10
0
24 Sep 2020
Multi-Participant Multi-Class Vertical Federated Learning
Multi-Participant Multi-Class Vertical Federated Learning
Siwei Feng
Han Yu
FedML
24
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
24
92
0
17 Nov 2019
A Feature Selection Based on Perturbation Theory
A Feature Selection Based on Perturbation Theory
J. R. Anaraki
Hamid Usefi
AAML
20
23
0
26 Feb 2019
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
32
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
16
205
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
14
21
0
19 Aug 2016
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