Papers citing 'Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review'

Title
Sample-Efficient Behavior Cloning Using General Domain KnowledgeInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Feiyu Zhu Jean Oh Reid Simmons 79 0 0 27 Jan 2025
Enhancing Classification Performance via Reinforcement Learning for Feature Selection Younes Ghazagh Jahed Seyyed Ali Sadat Tavana 142 3 0 09 Mar 2024
Semantic-Preserving Feature Partitioning for Multi-View Ensemble LearningInformation Fusion (Inf. Fusion), 2024 M. S. Khorshidi Navid Yazdanjue Hassan Gharoun D. Yazdani M. Nikoo Fang Chen Amir H. Gandomi 160 2 0 11 Jan 2024
Transformer Multivariate Forecasting: Less is More? Jingjing Xu Caesar Wu Yuan-Fang Li Pascal Bouvry AI4TS 199 5 0 30 Dec 2023
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification Siyu Qi Achintha Wijesinghe Lahiru D. Chamain Zhi Ding 92 0 0 30 Oct 2023
Model-based feature selection for neural networks: A mixed-integer programming approachLearning and Intelligent Optimization (LION), 2023 Shudian Zhao Calvin Tsay Jan Kronqvist 199 7 0 20 Feb 2023
A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback AnalysisIEEE Access (IEEE Access), 2023 T. Shaik Xiaohui Tao Jian Wang Christopher Dann Jacquie McDonald P. Redmond Linda Galligan 101 157 0 20 Jan 2023
Deep-MDS Framework for Recovering the 3D Shape of 2D Landmarks from a Single ImageSocial Science Research Network (SSRN), 2022 S. Kamyab Z. Azimifar 3DV 92 0 0 27 Oct 2022
DPDR: A novel machine learning method for the Decision Process for Dimensionality ReductionSN Computer Science (SN Comput. Sci.), 2022 J. Dessureault Daniel Massicotte 63 5 0 17 Jun 2022
Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 143 4 0 29 Jun 2021
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 147 52 0 15 Jun 2021
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 194 12 0 03 Jun 2021
Hierarchical Subspace Learning for Dimensionality Reduction to Improve Classification Accuracy in Large Data SetsIEEE International Symposium on Multiple-Valued Logic (ISMVL), 2021 Parisa Abdolrahim Poorheravi Vincent C. Gaudet 94 0 0 25 May 2021
Generative Locally Linear Embedding Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 109 4 0 04 Apr 2021
Locally Linear Embedding and its Variants: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 168 29 0 22 Nov 2020
Sampling Algorithms, from Survey Sampling to Monte Carlo Methods: Tutorial and Literature Review Benyamin Ghojogh Hadi Nekoei Aydin Ghojogh Fakhri Karray Mark Crowley 137 17 0 02 Nov 2020
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley BDL 172 9 0 22 Sep 2020
Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 130 37 0 17 Sep 2020
Roweis Discriminant Analysis: A Generalized Subspace Learning Method Benyamin Ghojogh Fakhri Karray Mark Crowley CML 117 6 0 11 Oct 2019
Quantized Fisher Discriminant Analysis Benyamin Ghojogh Ali Saheb Pasand Fakhri Karray Mark Crowley 84 0 0 06 Sep 2019
Fisher and Kernel Fisher Discriminant Analysis: Tutorial Benyamin Ghojogh Fakhri Karray Mark Crowley 190 42 0 22 Jun 2019
Unsupervised and Supervised Principal Component Analysis: Tutorial Benyamin Ghojogh Mark Crowley 148 35 0 01 Jun 2019