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

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Leveraging Feature Extraction to Perform Time-Efficient Selection for Machine Learning Applications by Duarte Coelho, Ana Madureira, Ivo Pereira, Ramiro Gonçalves, Susana Nicola, Inês César, Daniel Alves de Oliveira

Subjects: “…dimensionality reduction…”
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Identification of Typical Time-Series House Consumption Profiles Based on Unsupervised Learning Techniques by Marcelo Forte, Cindy P. Guzman, Lucas Pereira, Hugo Morais

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Identification of fungal diseases in strawberry by analysis of hyperspectral images using machine learning methods by A. F. Cheshkova

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Adaptable Reduced-Complexity Approach Based on State Vector Machine for Identification of Criminal Activists on Social Media by Imran Shafi, Sadia Din, Zahid Hussain, Imran Ashraf, Gyu Sang Choi

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Feature extraction and classification of digital rock images via pre-trained convolutional neural network and unsupervised machine learning by Masashige Shiga, Masao Sorai, Tetsuya Morishita, Masaatsu Aichi, Naoki Nishiyama, Takashi Fujii

Subjects: “…dimensionality reduction…”
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Visualization of large-scale user association feature data based on a nonlinear dimensionality reduction method by Nong Linlin

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MDGAIN-IFC: An intelligent construction method for full/refined benchmark dataset of postpartum hemorrhage based on MDGAIN and information fidelity by Xiaodan Li, Yue Zhou, Fengchun Gao, Di Cheng, Wushan Li, Kaijian Xia, Hongsheng Yin

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MOTL: enhancing multi-omics matrix factorization with transfer learning by David P. Hirst, Morgane Térézol, Laura Cantini, Paul Villoutreix, Matthieu Vignes, Anaïs Baudot

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Dynamic and low-dimensional modeling of brain functional connectivity on Riemannian manifolds by Mingyu Wang, Yueming Wang, Yuxiao Yang

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Joint representation and visualization of derailed cell states with Decipher by Achille Nazaret, Joy Linyue Fan, Vincent-Philippe Lavallée, Cassandra Burdziak, Andrew E. Cornish, Vaidotas Kiseliovas, Robert L. Bowman, Ignas Masilionis, Jaeyoung Chun, Shira E. Eisman, James Wang, Justin Hong, Lingting Shi, Ross L. Levine, Linas Mazutis, David Blei, Dana Pe’er, Elham Azizi

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Optimizing Tumor Detection in Brain MRI with One-Class SVM and Convolutional Neural Network-Based Feature Extraction by Azeddine Mjahad, Alfredo Rosado-Muñoz

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Task relevant autoencoding enhances machine learning for human neuroscience by Seyedmehdi Orouji, Vincent Taschereau-Dumouchel, Aurelio Cortese, Brian Odegaard, Cody Cushing, Mouslim Cherkaoui, Mitsuo Kawato, Hakwan Lau, Megan A. K. Peters

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Linear and Tree‐Based Intelligent Investigation of Cross‐Domain Housing Features to Enhance Energy Efficiency by Hafiz Muhammad Shakeel, Shamaila Iram, Hafiz Muhammad Athar Farid, Richard Hill

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