Marek Gagolewski, PhD, Dr habil.
ORCID=0000-0003-0637-6028
School of Information Technology, Deakin University
Melbourne Burwood Campus, Room T2.20-WS12
221 Burwood Hwy, Burwood, VIC 3125, Australia
marekgagolewski·com (main)M.Gagolewskideakin·edu·au (academic – Deakin University)M.Gagolewskimini·pw·edu·pl (academic – Warsaw University of Technology)See also:
My academic CV
Highlights
|
Researcher in Machine Learning, Applied Artificial Intelligence, Data Fusion and Statistical Modelling
|
|
Machine Learning, Data Analysis and Scientific Computing Software Developer (Python, C, C++, R, etc.)
|
|
Data Science, Machine Learning, Python, R and C++ Tutor & Trainer
|
Recent News
Robust fitting for the Sugeno integral with respect to general fuzzy measures
The editor of Information Sciences have just let us know that a paper by Gleb Beliakov, Simon James and me will be published in this outlet. Read more…
Deakin University
On 23rd of September 2019 I commence as a Senior Lecturer in Applied Artificial Intelligence at Deakin University in Melbourne-Burwood, Australia (Australian senior lecturer is supposed to be equivalent to an associate professor in the US).
Constrained Ordered Weighted averaging aggregation with multiple comonotone constraints
Lucian Coroianu, Robert Fullér, Simon James and I got a paper accepted in the Fuzzy Sets and Systems outlet. Abstract below. Read more…
Jan Lasek's PhD defence
My PhD student, Jan Lasek, has successfully defended his doctoral thesis, New data-driven rating systems for association football. :)
Aggregation on ordinal scales with the Sugeno integral for biomedical applications
Gleb Beliakov, Simon James and I got another paper accepted for publication in Information Sciences. This time we re-write a learning-to-aggregate problem based on the Sugeno integral in a difference-of-convex objective setting. The derived tool is particularly useful when working with ordinal data. Read more…