LEADER 05259nam 22006735 450 001 9910427719603321 005 20200903191334.0 010 $a3-030-58309-0 024 7 $a10.1007/978-3-030-58309-5 035 $a(CKB)4100000011413798 035 $a(DE-He213)978-3-030-58309-5 035 $a(MiAaPQ)EBC6331587 035 $a(PPN)250220571 035 $a(EXLCZ)994100000011413798 100 $a20200903d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Neural Networks in Pattern Recognition $e9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2?4, 2020, Proceedings /$fedited by Frank-Peter Schilling, Thilo Stadelmann 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XI, 306 p. 205 illus., 114 illus. in color.) 225 1 $aLecture Notes in Artificial Intelligence ;$v12294 311 $a3-030-58308-2 320 $aIncludes bibliographical references and index. 327 $aDeep Learning Methods for Image Guidance in Radiation Therapy Intentional Image Similarity Search -- Sttructured (De)composable Representations Trained with Neural Networks -- Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling -- Improving Accuracy and Efficiency of Object Detection Algorithms using Multiscale Feature Aggregation Plugins -- Abstract Echo State Networks -- Minimal Complexity Support Vector Machines -- Named Entity Disambiguation at Scale -- Geometric Attention for Prediction of Differential Properties in 3D Point Clouds -- How (Not) to Measure Bias in Face Recognition Networks.-Feature Extraction: A Time Window Analysis based on the X-ITE Pain Database -- Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario -- A deep learning approach for efficient registration of dual view mammography -- Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology -- Applications of Generative Adversarial Networks to Dermatologic Imaging -- Typing Plasmids with Distributed Sequence Representation -- KP-YOLO: a modification of YOLO algorithm for the keypoint-based detection of QR Codes -- Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools -- A Hybrid Deep Learning Approach For Forecasting Air Temperature -- Using CNNs to optimize numerical simulations in geotechnical engineering -- Going for 2D or 3D? Investigating various Machine Learning Approaches for Peach Variety Identification -- A Transfer Learning End-to-End Arabic Text-To-Speech (TTS) Deep Architecture -- ML-Based Trading Models: An investigation during COVID-19 pandemic crisis -- iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool. 330 $aThis book constitutes the refereed proceedings of the 9th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2020, held in Winterthur, Switzerland, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 22 revised full papers presented were carefully reviewed and selected from 34 submissions. The papers present and discuss the latest research in all areas of neural network-and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications. 410 0$aLecture Notes in Artificial Intelligence ;$v12294 606 $aArtificial intelligence 606 $aOptical data processing 606 $aData mining 606 $aPattern recognition 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 0$aData mining. 615 0$aPattern recognition. 615 14$aArtificial Intelligence. 615 24$aImage Processing and Computer Vision. 615 24$aData Mining and Knowledge Discovery. 615 24$aPattern Recognition. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a006.32 676 $a006.32 702 $aSchilling$b Frank-Peter$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aStadelmann$b Thilo$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910427719603321 996 $aArtificial Neural Networks in Pattern Recognition$92968246 997 $aUNINA