Jacob Montiel
About
Jacob Montiel has authored 12 papers that have received a total of 59 indexed citations.
This includes 11 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 3 papers in Signal Processing. The topics of these papers are Adaptation to Concept Drift in Data Streams (11 papers), Anomaly Detection Techniques and Applications (5 papers) and Machine Learning and Data Classification (4 papers). Jacob Montiel is often cited by papers focused on Adaptation to Concept Drift in Data Streams (11 papers), Anomaly Detection Techniques and Applications (5 papers) and Machine Learning and Data Classification (4 papers) and collaborates with scholars based in France, New Zealand and Brazil. Jacob Montiel's co-authors include Albert Bifet, Bernhard Pfahringer, Talel Abdessalem, Heitor Murilo Gomes and Jesse Read and has published in prestigious journals such as Journal of Machine Learning Research and Journal of the Royal Society of New Zealand
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