Artificial Neural Networks in Pattern Recognition 10th IAPR TC3 Workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022, Proceedings
by
El Gayar, Neamat. editor.
Title
:
Artificial Neural Networks in Pattern Recognition 10th IAPR TC3 Workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022, Proceedings
Author
:
El Gayar, Neamat. editor.
ISBN
:
9783031206504
Edition
:
1st ed. 2023.
Physical Description
:
X, 205 p. 59 illus., 44 illus. in color. online resource.
Series
:
Lecture Notes in Artificial Intelligence, 13739
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.
Added Author
:
El Gayar, Neamat.
Trentin, Edmondo.
Ravanelli, Mirco.
Abbas, Hazem.
Added Corporate Author
:
SpringerLink (Online service)
Electronic Access
:
| Library | Material Type | Item Barcode | Shelf Number | [[missing key: search.ChildField.HOLDING]] | Status |
|---|
| Online Library | E-Book | 520783-1001 | ONLINE | | Elektronik Kütüphane |