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检索条件"主题词=variational autoencoder"
1537 条 记 录,以下是691-700 订阅
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ALCR: Adaptive loss based critic ranking toward variational autoencoders with multinomial likelihood and condition for collaborative filtering
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KNOWLEDGE-BASED SYSTEMS 2023年 第1期278卷
作者: Feng, Jiamei Liu, Mengchi Liang, Xiang Nie, Tingkun South China Normal Univ Sch Comp Sci Guangzhou 510631 Peoples R China
Research on variational autoencoders for collaborative filtering is gradually focusing on implicit feedback. However, most existing studies have two limitations: (1) they overlook the impact of user- item interaction ... 详细信息
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Anomaly detection in Fourier transform infrared spectroscopy of geological specimens using variational autoencoders
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ORE GEOLOGY REVIEWS 2023年 158卷
作者: Gonzalez, C. M. Horrocks, T. Wedge, D. Holden, E. J. Hackman, N. Green, T. Univ Western Australia Ctr Data driven Geosci Sch Earth Sci Crawley WA 6009 Australia Rio Tinto Iron Ore Perth WA 6000 Australia
Fourier Transform infrared spectroscopy (FTIR) is an emerging cost effective and rapid mineralogical charac-terization technique being applied in the geosciences. Detecting anomalous FTIR spectra is especially relevan... 详细信息
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Gated Mixture variational autoencoders for Value Added Tax audit case selection
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KNOWLEDGE-BASED SYSTEMS 2020年 188卷 105048-105048页
作者: Kleanthous, Christos Chatzis, Sotirios Cyprus Univ Technol Dept Elect Engn Comp Engn & Informat CY-3036 Limassol Cyprus Cyprus Tax Dept Nicosia Cyprus
In this work, we address the problem of targeted Value Added Tax (VAT) audit case selection by means of machine learning. This is a challenging problem that has remained rather elusive for EU-based Tax Departments, du... 详细信息
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Expediting structure-property analyses using variational autoencoders with regression
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COMPUTATIONAL MATERIALS SCIENCE 2024年 242卷
作者: Templeton, William Frieden Miner, Justin P. Ngo, Austin Fitzwater, Lauren Reddy, Tharun Abranovic, Brandon Prichard, Paul Lewandowski, John J. Narra, Sneha Prabha Carnegie Mellon Univ Dept Mech Engn 5000 Forbes Ave Pittsburgh PA 15213 USA Case Western Reserve Univ Dept Mat Sci & Engn 10900 Euclid Ave Cleveland OH 44106 USA Carnegie Mellon Univ Dept Mat Sci & Engn 5000 Forbes Ave Pittsburgh PA 15213 USA Kennametal Inc 1600 Technol Way Latrobe PA 15650 USA
We present a machine learning approach that expedites structure-property analysis in materials, bypassing traditional feature extraction and exploratory data analysis techniques. This objective is accomplished by empl... 详细信息
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Achieving explainability for plant disease classification with disentangled variational autoencoders
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年 第PartA期133卷
作者: Habaragamuwa, Harshana Oishi, Yu Tanaka, Kenichi Natl Agr & Food Res Org NARO Tsukuba Japan Natl Agr & Food Res Org Res Ctr Agr Informat Technol Core Technol Res Headquarters 1-31-1 Kannondai Tsukuba Ibaraki 3050856 Japan
Agricultural image recognition tasks are becoming increasingly dependent on systems based on deep learning (DL);however, despite the excellent performance of DL, it is difficult to comprehend the type of logic or feat... 详细信息
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Generating In-Between Images Through Learned Latent Space Representation Using variational autoencoders
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IEEE ACCESS 2020年 8卷 149456-149467页
作者: Cristovao, Paulino Nakada, Hidemoto Tanimura, Yusuke Asoh, Hideki Univ Tsukuba Dept Compute Sci Tsukuba Ibaraki 3058577 Japan Natl Inst Adv Ind Sci & Technol Tsukuba Ibaraki 3058560 Japan
Image interpolation is often implemented using one of two methods: optical flow or convolutional neural networks. These methods are typically pixel-based;they do not work well on objects between images far apart. Beca... 详细信息
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Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders
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MACHINE LEARNING-SCIENCE AND TECHNOLOGY 2023年 第4期4卷 045033页
作者: Ziatdinov, Maxim Wong, Chun Yin (Tommy) Kalinin, Sergei, V Oak Ridge Natl Lab Ctr Nanophase Mat Sci Oak Ridge TN 37831 USA Oak Ridge Natl Lab Computat Sci & Engn Div Oak Ridge TN 37831 USA Univ Tennessee Bredesen Ctr Interdisciplinary Res & Grad Educ Knoxville TN 37996 USA Univ Tennessee Dept Mat Sci & Engn Knoxville TN 37996 USA
Recent advances in scanning tunneling and transmission electron microscopies (STM and STEM) have allowed routine generation of large volumes of imaging data containing information on the structure and functionality of... 详细信息
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Using shapley values and variational autoencoders to explain predictive models with dependent mixed features
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2022年 第1期23卷 9553-9603页
作者: Lars Henry Berge Olsen Ingrid Kristine Glad Martin Jullum Kjersti Aas Department of Mathematics University of Oslo Oslo Norway Norwegian Computing Center Oslo Norway
Shapley values are today extensively used as a model-agnostic explanation framework to explain complex predictive machine learning models. Shapley values have desirable theoretical properties and a sound mathematical ... 详细信息
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Combining variational autoencoders and physical bias for improved microscopy data analysis
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MACHINE LEARNING-SCIENCE AND TECHNOLOGY 2023年 第4期4卷 045004页
作者: Biswas, Arpan Ziatdinov, Maxim Kalinin, Sergei, V Ctr Nanophase Mat Sci Oak Ridge Natl Lab Oak Ridge TN 37831 USA Oak Ridge Natl Lab Computat Sci & Engn Div Oak Ridge TN 37831 USA Univ Tennessee Mat Sci & Engn Knoxville TN 37996 USA
Electron and scanning probe microscopy produce vast amounts of data in the form of images or hyperspectral data, such as electron energy loss spectroscopy or 4D scanning transmission electron microscope, that contain ... 详细信息
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Integrating Adversarial Generative Network with variational autoencoders towards Cross-Modal Alignment for Zero-Shot Remote Sensing Image Scene Classification
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REMOTE SENSING 2022年 第18期14卷 4533页
作者: Ma, Suqiang Liu, Chun Li, Zheng Yang, Wei Henan Univ Sch Comp & Informat Engn Kaifeng 475000 Peoples R China Henan Univ Henan Key Lab Big Data Anal & Proc Kaifeng 475004 Peoples R China Henan Univ Henan Engn Lab Spatial Informat Proc Kaifeng 475004 Peoples R China Henan Univ Henan Ind Technol Acad Spatio Temporal Big Data Zhengzhou 450046 Peoples R China
Remote sensing image scene classification takes image blocks as classification units and predicts their semantic descriptors. Because it is difficult to obtain enough labeled samples for all classes of remote sensing ... 详细信息
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