K.M. Curtis
About
K.M. Curtis has authored 18 papers that have received a total of 181 indexed citations.
This includes 12 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 5 papers in Computer Vision and Pattern Recognition. The topics of these papers are Neural Networks and Applications (8 papers), Neural Networks and Reservoir Computing (5 papers) and Blind Source Separation Techniques (3 papers). K.M. Curtis is often cited by papers focused on Neural Networks and Applications (8 papers), Neural Networks and Reservoir Computing (5 papers) and Blind Source Separation Techniques (3 papers) and collaborates with scholars based in United Kingdom, United States and Greece. K.M. Curtis's co-authors include Barrie Hayes‐Gill, Trevor Allen, John Orton, Michael P. Craven and Gareth J. F. Jones and has published in prestigious journals such as Pattern Recognition, Electronics Letters and IEEE Transactions on Consumer Electronics
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