This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial intelligence. Like the previous book in the series, this book covers a range of topics and illustrates potential areas where pattern recognition and artificial intelligence can be applied. It highlights, for example, how pattern recognition and artificial intelligence can be used to classify, predict, detect and help promote further discoveries related to credit scores, criminal news, national elections, license plates, gender, personality characteristics, health, and more.Chapters include works centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.
Contents:
- Preface
- List of Contributors
- Enhanced Lesion Detection in Breast MRI Using Parallel and Cascaded Integration of Deep Learning Models (Ghazal Rouhafzay, Yonggang Li, Haitao Guan, Chang Shu, Rafik A Goubran and Pengcheng Xi)
- A Survey on Peripheral Blood Smear Analysis Using Deep Learning (Rabiah Alqudah and Ching Y Suen)
- End-to-End Generative Adversarial Network for Hand-Vein Recognition (Huafeng Qin and Mounim A El Yacoubi)
- Diabetic Retinopathy Analysis Based on Retinal Fundus Photographs via Deep Learning (Yan Xu, Yufang Tang, Xuezhou Wen and Ching Y Suen)
- Pattern Recognition in Handwriting (Sheila Lowe)
- A Deep Reinforcement Learning-based Study on Handwriting Difficulty Analysis (Chandranath Adak, Bidyut B Chaudhuri and Michael Blumenstein)
- Gender Detection from Handwritten Documents Using the Concept of Transfer Learning (Najla AL-Qawasmeh and Ching Y Suen)
- The Wartegg Test (Graziella Pettinati)
- A New Prediction Method for Credit Scoring Based on Sampling Reconstruction of Signal on Graph (Qian Zhang, Zhihua Yang, Feng Zhou and Lihua Yang)
- Optimal Choices of Features in Image Analysis (Camille Kurtz and Nicole Vincent)
- A Comprehensive Unconstrained, License Plate Database (Nicola Nobile, Hoi Kei Phoebe Chan and Marleah Blom)
- Classification of Spanish Criminal News using Neural Networks (Mireya Tovar Vidal, Emmanuel Santos Rodriguez and Jose A Reyes-Ortiz)
- Predicting US Elections with Social Media and Neural Networks (Ellison Yin Nang Chan, Adam Krzy?ak and Ching Y Suen)
- Differences and Similarities learning for Unsupervised Feature Selection (Tan Jun, Xinyi Li, Ning Bi and You Ning)
- Index
Readership: Students and researchers in pattern recognition and artificial intelligence, and the general public.
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