Includes index.

Enhanced lesion detection in breast MRI using parallel and cascaded integration of deep learning models -- Intensive survey on peripheral blood smear analysis using deep learning -- End-to-end generative adversarial network for hand-vein recognition -- Diabetic retinopathy analysis based on retinal fundus photographs via deep learning -- Pattern recognition in handwriting -- A deep reinforcement learning-based study on handwriting difficulty analysis -- Gender detection from handwritten documents using transfer learning method -- The Wartegg test -- A new prediction method for credit scoring based on sampling reconstruction of signal on graph -- Optimal choices of features in image analysis -- A comprehensive unconstrained, license plate database -- Classification of Spanish criminal news using neural networks -- Predicting US elections with social media and neural networks.

"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"-- Publisher's website.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.