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245 1 0 _aPattern Recognition
_h[electronic resource] :
_b15th Mexican Conference, MCPR 2023, Tepic, Mexico, June 21-24, 2023, Proceedings /
_cedited by Ansel Yoan Rodríguez-González, Humberto Pérez-Espinosa, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aXIV, 328 p. 150 illus., 104 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13902
500 _aAcceso multiusuario
505 0 _aPattern Recognition and Machine Learning Techniques: Feature Analysis and Selection for Water Stream Modeling -- A Cloud-based (AWS) Machine Learning Solution to Predict Account Receivables in a Financial Institution -- A New Approach for Road Type Classification using Multi-Stage Graph Embedding Method -- Removing the Black-Box from Machine Learning -- Using Machine Learning to Identify Patterns in Learner-Submitted Code for the Purpose of Assessment -- Fitness Function Comparison for Unsupervised Feature Selection with Permutational-Based Dierential Evolution -- A Method for Counting Models on Cubic Boolean Formulas -- Automatic Identication of Learning Styles through Behavioral Patterns -- Comparison of Classiers in Challenge Scheme -- Deep Learning and Neural Networks: Robust Zero-Watermarking for Medical Images based on Deep Learning Feature Extraction -- Plant Stress Recognition Using Deep Learning and 3D Reconstruction -- Segmentation and Classification Networks for Corn/Weed Detection under Excessive Field Variabilities -- Leukocyte Recognition Using a Modified AlexNet and Image to Image GAN Data Augmentation -- Spoofing Detection for Speaker Verification with Glottal Flow and 1D Pure Convolutional Networks -- Estimation of Stokes Parameters using Deep Neural Networks -- Experimental Study of the Performance of Convolutional Neural Networks Applied in Art Media Classification -- Medical Applications of Pattern Recognition: Hadamard Layer to Improve Semantic Segmentation in Medical Images -- Patterns in Genesis of Breast Cancer Tumor -- Realistic Simulation of Event-Related Potentials and their usual Noise and Interferences for Pattern Recognition -- Chest X-ray Imaging Severity Score of COVID-19 Pneumonia -- Leukocyte Detection with Novel Fully Convolutional Network and a New Dataset of Blood Smear Complete Samples -- Comparison of Deep Learning Architectures in Classification of Microcalcifications Clusters in Digital Mammograms -- Retinal Artery and Vein Segmentation using an Image-to-image Conditional Adversarial Network -- Evaluation of Heatmaps as an Explicative Method for Classifying Acute Lymphoblastic Leukemia Cells -- Language Processing and Recognition: Machine Learning Models Applied in Sign Language Recognition -- Urdu Semantic Parsing: An Improved SEMPRE Framework for Conversion of Urdu Language Web Queries to Logical forms -- Improving the Identification of Abusive Language through Careful Design of Pre-training Tasks -- Industrial Applications of Pattern Recognition: TOPSIS Method for Multiple-Criteria Decision-Making Applied to Trajectory Selection for Autonomous Driving -- Machine-learning based Estimation of the Bending Magnitude Sensed by a Fiber Optic Device -- Graph-based Semi-Supervised Learning using Riemannian Geometry Distance for Motor Imagery Classification.
520 _aThis book constitutes the refereed proceedings of the 15th Mexican Conference on Pattern Recognition, MCPR 2023, held in Tepic, Mexico, during June 21-24, 2023. The 30 full papers presented in this book were carefully reviewed and selected from 61 submissions. The papers are divided into the following topical sections: pattern recognition and machine learning techniques; deep learning and neural networks; medical applications of pattern recognition; language processing and recognition; and industrial applications of pattern recognition.
541 _fUABC ;
_cPerpetuidad
650 0 _aPattern recognition systems.
650 0 _aArtificial intelligence.
650 0 _aComputer engineering.
650 0 _aComputer networks .
650 1 4 _aAutomated Pattern Recognition.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputer Engineering and Networks.
700 1 _aRodríguez-González, Ansel Yoan.
_eeditor.
_0(orcid)0000-0001-9971-0237
_1https://orcid.org/0000-0001-9971-0237
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700 1 _aPérez-Espinosa, Humberto.
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700 1 _aMartínez-Trinidad, José Francisco.
_eeditor.
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700 1 _aCarrasco-Ochoa, Jesús Ariel.
_eeditor.
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_1https://orcid.org/0000-0002-9982-7758
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700 1 _aOlvera-López, José Arturo.
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_1https://orcid.org/0000-0003-0639-1463
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_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
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856 4 0 _zLibro electrónico
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