Linear Dimensionality Reduction: What Is Better? by Mohit Baliyan, Evgeny M. Mirkes

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A feature selection and scoring scheme for dimensionality reduction in a machine learning task by PHILEMON UTEN EMMOH, christopher ifeanyi Eke, Timothy Moses

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Hybrid Deep Neural Network with Domain Knowledge for Text Sentiment Analysis by Jawad Khan, Niaz Ahmad, Youngmoon Lee, Shah Khalid, Dildar Hussain

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Visualization of Learning Process in Feature Space by Tomohiro Inoue, Noboru Murata, Taiki Sugiura

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MONITORING DATA AGGREGATION OF DYNAMIC SYSTEMS USING INFORMATION TECHNOLOGIES by Dmytro Shevchenko, Mykhaylo Ugryumov, Sergii Artiukh

Subjects: “…data dimensionality reduction; deep learning; autoencoders…”
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Probabilistic Lane Segmentation Using a Low–Dimensional Linear Parametrization by Acuña Carlos, Arechavaleta Gustavo, Castelán Mario

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Generalized PCA Method and Its Application in Uncertainty Reasoning by Bin Wu, Xiao Yi, Dong Ning Zhao

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Analysis and knowledge extraction of newborn resuscitation activities from annotation files by Mohanad Abukmeil, Øyvind Meinich-Bache, Trygve Eftestøl, Siren Rettedal, Helge Myklebust, Thomas Bailey Tysland, Hege Ersdal, Estomih Mduma, Kjersti Engan

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Unsupervised Machine Learning for Classifying CHIME Fast Radio Bursts and Investigating Empirical Relations by Da-Chun Qiang, Jie Zheng, Zhi-Qiang You, Sheng Yang

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A new band selection approach integrated with physical reflectance autoencoders and albedo recovery for hyperspectral image classification by V. Sangeetha, L. Agilandeeswari

Subjects: “…Dimensionality reduction…”
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Functional Connectome Fingerprinting Through Tucker Tensor Decomposition by Vitor Carvalho, Mintao Liu, Jaroslaw Harezlak, Ana María Estrada Gómez, Joaquín Goñi

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Modality-based Modeling with Data Balancing and Dimensionality Reduction for Early Stunting Detection by Yohanes Setiawan, Mohammad Hamim Zajuli Al Faroby, Mochamad Nizar Palefi Ma’ady, I Made Wisnu Adi Sanjaya, Cisa Valentino Cahya Ramadhani

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Investigating reduced-dimensional variability in aircraft-observed aerosol–cloud parameters by Kayley M. Butler, Sam J. Silva, Armin Sorooshian, Richard H. Moore, Glenn S. Diskin, John B. Nowak, Luke Ziemba, Ewan Crosbie, Michael A. Shook, Joshua DiGangi, Edward Winstead, Claire Robinson, Yonghoon Choi

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Rore: robust and efficient antioxidant protein classification via a novel dimensionality reduction strategy based on learning of fewer features by Chaolu Meng, Yongqi Hou, Quan Zou, Lei Shi, Xi Su, Ying Ju

Subjects: “…Dimensionality reduction…”
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Detecting phase transitions in collective behavior using manifold's curvature by Kelum Gajamannage, Erik M. Bollt

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Improving Word Embedding Using Variational Dropout by Zainab Albujasim, Diana Inkpen, Xuejun Han, Yuhong Guo

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Advanced genetic algorithm (GA)-independent component analysis (ICA) ensemble model for predicting trapped humans through hybrid dimensionality reduction by Enoch Adama Jiya, Ilesanmi B. Oluwafemi

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Autonomous Detection of Mineral Phases in a Rock Sample Using a Space-prototype LIMS Instrument and Unsupervised Machine Learning by Salome Gruchola, Peter Keresztes Schmidt, Marek Tulej, Andreas Riedo, Klaus Mezger, Peter Wurz

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CBMAP: Clustering-Based Manifold Approximation and Projection for Dimensionality Reduction by Berat Dogan

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Mapping the computational similarity of individual neurons within large-scale ensemble recordings using the SIMNETS analysis framework by Carlos E. Vargas-Irwin, Carlos E. Vargas-Irwin, Carlos E. Vargas-Irwin, Jacqueline B. Hynes, Jacqueline B. Hynes, David M. Brandman, Jonas B. Zimmermann, John P. Donoghue, John P. Donoghue, John P. Donoghue, John P. Donoghue

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