Publication index in DBLP, Google Scholar.
All preprints are also available at ResearchGate.
Preprints
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Marcin Orchel, Johan Suykens
Improved update rule and sampling of stochastic gradient descent with extreme early stopping for support vector machines
LOD 2021
link (pdf) -
Marcin Orchel, Johan Suykens
Fast hyperparameter tuning for support vector machines with stochastic gradient descent
LOD 2020
link (pdf) -
Marcin Orchel, Johan Suykens
Axiomatic Kernels on Graphs for Support Vector Machines
ICANN 2019
link (pdf) -
Marcin Orchel
Knowledge-Uncertainty Axiomatized Framework with Support Vector Machines for Hyperparameter Optimization
IJCNN 2018
link (pdf) -
Marcin Orchel
Clustering by Support Vector Manifold Learning
IJCNN 2017
link (pdf) -
Marcin Orchel
Balanced Support Vector Regression
ICAISC 2015
link (pdf) -
Marcin Orchel
Solving classification problems by knowledge sets
Neurocomputing
link (pdf) -
Marcin Orchel
Incorporating Prior Knowledge into SVM Algorithms in Analysis of Multidimensional Data
PhD thesis, AGH University of Science and Technology, 2013
link (pdf) -
Marcin Orchel
Support vector regression based on data shifting
Neurocomputing
link (pdf) -
Marcin Orchel
Support Vector Regression as a Classification Problem with a Priori Knowledge in the Form of Detractors
ICMMI 2011
link (pdf) -
Marcin Orchel
Incorporating a Priori Knowledge from Detractor Points into Support Vector Classification
ICANNGA 2011
link (pdf) -
Marcin Orchel
Regression Based on Support Vector Classification
ICANNGA 2011
link (pdf) -
Marcin Orchel
Support Vector Regression with A Priori Knowledge Used in Order Execution Strategies Based on VWAP
ADMA 2011
link (pdf) -
Marcin Orchel
Incorporating Detractors into SVM Classification
ICMMI 2009
link (pdf) -
Marcin Orchel
Support Vector Machines: Sequential Multidimensional Subsolver (SMS)
SPA 2007
link (pdf) -
Marcin Orchel
Support vector machines: heuristic of alternatives
SPS 2007
link (pdf) -
Marcin Orchel
Klasyfikacja danych wielowymiarowych algorytmami SVM
Master Thesis, AGH University of Science and Technology, 2005
link (pdf)