000 05983nam a22006975i 4500
001 978-3-031-71602-7
003 DE-He213
005 20250516160140.0
007 cr nn 008mamaa
008 240919s2024 sz | s |||| 0|eng d
020 _a9783031716027
_9978-3-031-71602-7
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aArtificial Neural Networks in Pattern Recognition
_h[electronic resource] :
_b11th IAPR TC3 Workshop, ANNPR 2024, Montreal, QC, Canada, October 10-12, 2024, Proceedings /
_cedited by Ching Yee Suen, Adam Krzyzak, Mirco Ravanelli, Edmondo Trentin, Cem Subakan, Nicola Nobile.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXI, 334 p. 100 illus., 81 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v15154
505 0 _a -- Learning Algorithms and Architectures. -- Learning Graph Matching with Graph Neural Networks. -- Gaussian-mixture Neural Networks. -- Neural Decompiling of Tracr Transformers. -- Pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data. -- Robust Clustering with McDonald's Beta-Liouville Mixture Models for Proportional Data. -- Evaluating Support Vector Machines with Multiple Kernels by Random Search. -- Applications in Medical and Health Sciences. -- Automatic Interpretation of 18F-fluorocholine PET/CT Findings in Patients With Primary Hyperparathyroidism: A Novel Dataset with Benchmarks. -- A Hybrid Neuroevolutionary Approach to the Design of Convolutional Neural Networks for 2D and 3D Medical Image Segmentation. -- An Improved Pix2Pix GAN for Medical Image Generation. -- Vision Transformer Features-based Leukemia Classification. -- Comparative Study of Deep Learning Models in Melanoma Detection. -- A Metaheuristic Optimization Based Deep Feature Selection for Oral Cancer Classification. -- Machine Learning for Clinical Score Prediction from Longitudinal Dataset: A Case Study on Parkinson's Disease. -- Explaining Network Decision Provides Insights on the Causal Interaction Between Brain Regions in a Motor Imagery Task. -- Multi-modal Decoding of Reach-to-Grasping from EEG and EMG via Neural Networks. -- Applications in Computer Vision. -- VAeViT: Fusing Multi-Views for Complete 3D Object Recognition. -- Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos. -- Palmprint Classification via Filter Faces and Feature Extraction. -- Deep Multi-Label Classification of Personality with Handwriting Analysis. -- License Plate Detection and Character Recognition Using Deep Learning and Font Evaluation. -- Applications in NLP, Speech, and Music. -- Experiments in Modeling Disagreement. -- Deep Multiresolution Wavelet Transform for Speech Emotion Assessment of High-Risk Suicide Callers. -- Dynamic HumTrans: Humming Transcription Using CNNs and Dynamic Programming. -- Applications in Environmental and Biological Sciences. -- Leveraging LSTM Embeddings for River Water Temperature Modeling. -- Research on the Identification of Common Economic Shellfish in Jiangsu Based on Fused-ResNet Network. -- Generative Plant Growth Simulation from Sequence-Informed Environmental Conditions. -- A Simulation Study on Energy Optimization in Building Control with Reinforcement Learning.
520 _aThis book constitutes the refereed proceedings of the 11th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2024, held in Montreal, QC, Canada, during October 10-12, 2024. The 27 full papers presented together were carefully reviewed and selected from 46 submissions. The conference focuses on: learning algorithms and architectures; applications in medical and health sciences; applications in computer vision; applications in NLP, speech, and music; applications in environmental and biological sciences.
541 _fUABC ;
_cPerpetuidad
650 0 _aArtificial intelligence.
650 0 _aEducation
_xData processing.
650 0 _aData mining.
650 0 _aApplication software.
650 0 _aSocial sciences
_xData processing.
650 0 _aComputer vision.
650 1 4 _aArtificial Intelligence.
650 2 4 _aComputers and Education.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aComputer Application in Social and Behavioral Sciences.
650 2 4 _aComputer Vision.
700 1 _aSuen, Ching Yee.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKrzyzak, Adam.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRavanelli, Mirco.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTrentin, Edmondo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSubakan, Cem.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNobile, Nicola.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031716010
776 0 8 _iPrinted edition:
_z9783031716034
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v15154
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-71602-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cLIBRO_ELEC
999 _c276468
_d276467