Matthew Adams

Adams, M. (2019, June). The Fractional Harris-Laplace Feature Detector. In International Conference on Scale Space and Variational Methods in Computer Vision (pp. 3-12). Springer, Cham.

Adams, M. (2019). differint: A Python Package for Numerical Fractional Calculus. arXiv preprint arXiv:1912.05303.

Adams, M., Hallgrimsson, B., Hirota, C., and Benseler, S. (2022). Dimension Reduction with Bibliometric Data. Elsevier Guest Seminar Series, Amsterdam, Netherlands (online).

Adams, Matthew (2021). What Does Child Health Research Look Like in Canada? Canada & US SciVal and Scopus User Conference, Online hosted by Carnegie Mellon University Libraries.

Adams, Matthew (2020). Neural Networks: Philosopher's Stone or Chamber of Secrets? UCalgary graduate seminar, Calgary, AB.

Adams, Matthew (2019). The Fractional Harris-Laplace Feature Detector. International Conference on Scale Space and Variational Methods in Computer Vision, Hofgeismar, Germany.

Adams, Matthew (2017). Combining the Difference Quotient with the Riemann Sum: Fractional Consequences. UCalgary Undergraduate Mathematics Student Colloquium, Calgary, AB.

Adams, M. (2017). An Introduction to the Fractional Calculus with an Application to Computer Vision. 2017 PIMS Young Researchers Conference, Saskatoon, SK.

Adams, Matthew and Pimentel, Sam (2015). Optimal Interpolation with a 3-Dimensional Ice Sheet Model. 2015 SFU Symposium on Mathematics and Computation, Burnaby, BC.

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