Michael A. Lehr
About
Michael A. Lehr has authored 8 papers that have received a total of 1.7k indexed citations.
This includes 5 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. The topics of these papers are Neural Networks and Applications (5 papers), Statistical Mechanics and Entropy (2 papers) and Advanced Adaptive Filtering Techniques (2 papers). Michael A. Lehr is often cited by papers focused on Neural Networks and Applications (5 papers), Statistical Mechanics and Entropy (2 papers) and Advanced Adaptive Filtering Techniques (2 papers) and collaborates with scholars based in United States. Michael A. Lehr's co-authors include Bernard Widrow, David E. Rumelhart, Françoise Beaufays and Eric A. Wan and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and The Journal of the Acoustical Society of America
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