Daniel Hewlett
About
Daniel Hewlett has authored 9 papers that have received a total of 164 indexed citations.
This includes 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. The topics of these papers are Natural Language Processing Techniques (6 papers), Multimodal Machine Learning Applications (6 papers) and Topic Modeling (5 papers). Daniel Hewlett is often cited by papers focused on Natural Language Processing Techniques (6 papers), Multimodal Machine Learning Applications (6 papers) and Topic Modeling (5 papers) and collaborates with scholars based in United States, The Netherlands and Israel. Daniel Hewlett's co-authors include Paul R. Cohen, Alexandre Lacoste, Llion Jones, Yu-Han Chang and Illia Polosukhin and has published in prestigious journals such as and
In The Last Decade
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