@article{1437839,
      recid = {1437839},
      author = {Iliadis, Lazaros S., and MacIntyre, J. D. and Jayne,  Chrisina, and Pimenidis, Elias,},
      title = {Proceedings of the 22nd Engineering Applications of Neural  Networks Conference : EANN 2021 /. EANN (Conference)},
      pages = {1 online resource :},
      note = {International conference proceedings.},
      abstract = {This book contains the proceedings of the 22nd EANN  "Engineering Applications of Neural Networks" 2021 that  comprise of research papers on both theoretical foundations  and cutting-edge applications of artificial intelligence.  Based on the discussed research areas, emphasis is given in  advances of machine learning (ML) focusing on the following  algorithms-approaches: Augmented ML, autoencoders,  adversarial neural networks, blockchain-adaptive methods,  convolutional neural networks, deep learning, ensemble  methods, learning-federated learning, neural networks,  recurrent -- long short-term memory. The application  domains are related to: Anomaly detection, bio-medical AI,  cyber-security, data fusion, e-learning, emotion  recognition, environment, hyperspectral imaging, fraud  detection, image analysis, inverse kinematics, machine  vision, natural language, recommendation systems, robotics,  sentiment analysis, simulation, stock market prediction},
      url = {http://library.usi.edu/record/1437839},
      doi = {https://doi.org/10.1007/978-3-030-80568-5},
}