Dr. Inger Fabris-Rotelli

 

Tel: (012) 420-5420

Email: [email protected]

Position:  Senior Lecturer

Academic qualifications: BSc Applied Mathematics, BSc (Hons) Applied Mathematics, BSc (Hons) Mathematical Statistics, MSc Applied Mathematics, PhD Mathematical Sciences

Research interests:  Machine learning, image and signal processing, spatial statistics, robotics

Subjects lectured:  WST312 Stochastic Processes, WST322 Actuarial Statistics, PNP 720 Parametric Stochastic Processes, SFT 720 Sampling Techniques

 

 

Recent publications:

  1. R Anguelov and I N Fabris-Rotelli, LULU Operators and Discrete Pulse Transform for Multi-dimensional Arrays, IEEE Transactions on Image Processing, 19(11), 2010, 3012-3023.

     

  2. IN Fabris-Rotelli, Characterization of the Discrete Pulse Transform of Images, International Journal on Mathematical Methods and Models in Biosciences, 2012, 1(2), 1-7.

     

  3. G Stoltz and I Fabris-Rotelli, Pulse reformation algorithm for leakage of connected operators, Proceedings of the  International Conference on Computer Vision Theory and Applications (VISAPP 2015), 11-14 March 2015, Berlin, Germany, 583-590

     

  4. GD Breetske, M King and I Fabris-Rotelli, The impact of the Canterbury Earthquakes on the temporal and spatial patterning of crime in Christchurch, New Zealand, Australian and New Zealand Journal of Criminology, 0(0), 1- 22, 2016 (published online). 

     

  5. M de Lancey and I Fabris-Rotelli, Capability of the CLARA algorithm for clustering big data, Proceedings of the 2017 SASA Conference, 27 - 30 November 2017, University of the Free State,  2017.  
     

     

     

Published by Gamu Malela

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