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Similarity Embedded Temporal Transformers: Enhancing Stock Predictions with Historically Similar Trends by Kenniy Olorunnimbe; Herna Viktor is a book available to read on EtoBox.

What is Similarity Embedded Temporal Transformers: Enhancing Stock Predictions with Historically Similar Trends about?

This book constitutes the proceedings of the 26th International Symposium on Foundations of Intelligent Systems, ISMIS 2022, held in Cosenza, Italy, in October 2022. The 31 regular papers, 11 short papers and 4 industrial papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections as follows: Social Media and Recommendation; Natural Language Processing; Explainability; Intelligent Systems; Classification and Clustering; Complex Data; Medical Applications; Industrial Applications.

Author

Kenniy Olorunnimbe; Herna Viktor

Publisher

Springer International Publishing AG

Published

2022

Language

EN

ISBN

9783031165641

Subjects

Mathematics, Science, Business