Fr. 89.00

Artificial Neural Networks in Pattern Recognition - 10th IAPR TC3 Workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022, Proceedings

English · Paperback / Softback

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Description

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This book constitutes the refereed proceedings of the 10th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2022, held in Dubai, UAE, in November 2022. The 16 revised full papers presented were carefully reviewed and selected from 24 submissions. The conference presents papers on subject such as pattern recognition and machine learning based on artificial neural networks.
 

List of contents

Transformer-Encoder generated context-aware embeddings for spell correction.- Graph Augmentation for Neural Networks Using Matching-Graphs.- Wavelet Scattering Transform Depth Benefit, An Application for Speaker Identification.- Assessment of Pharmaceutical Patent Novelty using Siamese Neural Network.- A Review of Capsule Networks in Medical Image Analysis.- Multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions.- Introducing an Atypical Loss: A Perceptual Metric Learning for Image Pairing.- A Study on the Autonomous Detection of Impact Craters.- Minimizing Cross Intersections in Graph Drawing via Linear Splines.- Sequence-to-Sequence CNN-BiLSTM Based Glottal Closure Instant Detection from Raw Speech.- Do Minimal Complexity Least Squares Support Vector Machines Work?.- A Novel Representation of Graphical Patterns for Graph Convolution Networks.- Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi Utilization of Vision Transformer for Classification and Ranking of Video Distortions.- White Blood Cell Classification of Porcine Blood Smear Images.- Medical Deepfake Detection using 3-Dimensional Neural Learning.

Product details

Assisted by Hazem Abbas (Editor), Neamat El Gayar (Editor), Mirco Ravanelli (Editor), Mirco Ravanelli et al (Editor), Edmondo Trentin (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 11.11.2022
 
EAN 9783031206498
ISBN 978-3-0-3120649-8
No. of pages 205
Dimensions 155 mm x 11 mm x 235 mm
Illustrations X, 205 p. 59 illus., 44 illus. in color.
Series Lecture Notes in Computer Science
Lecture Notes in Artificial Intelligence
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

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