AI Bibliography
AI Bibliography |
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MacIntyre, J. D., Maglogiannis, I. G., Iliadis, L. S., & Pimenidis, E. (2019). Artificial intelligence applications and innovations: 15th ifip wg 12.5 international conference, aiai 2019, hersonissos, crete, greece, may 24-26, 2019, proceedings. Springer. |
| Resource type: Book ID no. (ISBN etc.): 9783030198244 BibTeX citation key: MacIntyre2019 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Computer Science, Data Sciences, Decision Theory, General, Innovation, Mathematics Subcategories: Autonomous systems, Big data, Decision making, Deep learning, Forecasting, Machine intelligence, Machine learning, Machine recognition, Neural nets, Psychology of human-AI interaction, Synthetic intelligence Creators: Iliadis, MacIntyre, Maglogiannis, Pimenidis Publisher: Springer Collection: |
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This book constitutes the refereed proceedings of the 15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019, held in Hersonissos, Crete, Greece, in May 2019. The 49 full papers and 6 short papers presented were carefully reviewed and selected from 101 submissions. They cover a broad range of topics such as deep learning ANN; genetic algorithms - optimization; constraints modeling; ANN training algorithms; social media intelligent modeling; text mining/machine translation; fuzzy modeling; biomedical and bioinformatics algorithms and systems; feature selection; emotion recognition; hybrid Intelligent models; classification - pattern recognition; intelligent security modeling; complex stochastic games; unsupervised machine learning; ANN in industry; intelligent clustering; convolutional and recurrent ANN; recommender systems; intelligent telecommunications modeling; and intelligent hybrid systems using Internet of Things. The papers are organized in the following topical sections: AI anomaly detection - active learning; autonomous vehicles - aerial vehicles; biomedical AI; classification - clustering; constraint programming - brain inspired modeling; deep learning - convolutional ANN; fuzzy modeling; learning automata - logic based reasoning; machine learning - natural language; multi agent - IoT; nature inspired flight and robot; control - machine vision; and recommendation systems.
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