Improvement in the prediction power of an astrocyte genome-scale metabolic model using multi-omic data by Andrea Angarita-Rodríguez, Andrea Angarita-Rodríguez, Andrea Angarita-Rodríguez, Nicolás Mendoza-Mejía, Nicolás Mendoza-Mejía, Janneth González, Jason Papin, Jason Papin, Jason Papin, Andrés Felipe Aristizábal, Andrés Pinzón

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DS-YOLOv7: Dense Small Object Detection Algorithm for UAV by Tao Sun, Haonan Chen, Haiying Liu, Lixia Deng, Lida Liu, Shuang Li

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Predictive analysis of total organic carbon (TOC) in shale targets: example from the Lower Cretaceous of the Austral Basin (Patagonia, Argentina) using machine learning on outcrop... by Sebastian M. Richiano, Federico Ares

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The dynamics of exchange traded funds: a geometrical and topological approach by Lucas Carvalho, Tanya Araújo

Subjects: “…Dimensional reduction…”
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Towards Synthetic Augmentation of Training Datasets Generated by Mobility-on-Demand Service Using Deep Variational Autoencoders by Martin Gregurić, Filip Vrbanić, Edouard Ivanjko

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Methodological framework for three-way statistical analysis of cost of living and quality of life indices: a case study in the American continent by Roberto Cascante-Yarlequé, Carlos Martin-Barreiro, Xavier Cabezas, Freddy Ronalde Camacho-Villagomez, Carlos Aníbal Suárez, Lena Freire, Pedro Ramos De Santis

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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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