Philip D. Wasserman
About
Philip D. Wasserman has authored 6 papers that have received a total of 1.1k indexed citations.
This includes 3 papers in Artificial Intelligence, 2 papers in Mechanical Engineering and 1 paper in Computer Vision and Pattern Recognition. The topics of these papers are Natural Language Processing Techniques (1 paper), Engineering Diagnostics and Reliability (1 paper) and Time Series Analysis and Forecasting (1 paper). Philip D. Wasserman is often cited by papers focused on Natural Language Processing Techniques (1 paper), Engineering Diagnostics and Reliability (1 paper) and Time Series Analysis and Forecasting (1 paper) and collaborates with scholars based in United States. Philip D. Wasserman's co-authors include Gary T. Rochelle and has published in prestigious journals such as Environmental Science & Technology and The Journal of the Acoustical Society of America.
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