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Artificial Neural Networks in Pattern Recognition 11th IAPR TC3 Workshop, ANNPR 2024, Montreal, QC, Canada, October 10–12, 2024, Proceedings

Aus der Reihe Lecture Notes in Computer Science
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71,99 € UVP 80,24 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.09.2024

Abbildungen

XI, 334 p. 100 illus., 81 illus. in color.

Herausgeber

Ching Yee Suen + weitere

Verlag

Springer

Seitenzahl

334

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

528 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-71601-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.09.2024

Abbildungen

XI, 334 p. 100 illus., 81 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

334

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

528 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-71601-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Artificial Neural Networks in Pattern Recognition
  • Produktbild: Artificial Neural Networks in Pattern Recognition

  • .- 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.