Kerstin Malmqvist

22 papers B 1C 3Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2005 J jnl
A multi-channel adaptive nonlinear filtering structure realizing some properties of the hearing system.
Comput. Biol. Medicine
Antanas Stasiunas, Antanas Verikas, Povilas Kemesis, Marija Bacauskiene, Rimvydas Miliauskas, Natalija Stasiuniene, Kerstin Malmqvist
2005 J jnl
Detecting and measuring rings in banknote images.
Eng. Appl. Artif. Intell.
Antanas Verikas, Kerstin Malmqvist, Lars Bergman
2003 J jnl
Learning an Adaptive Dissimilarity Measure for Nearest Neighbour Classification.
Neural Comput. Appl.
Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist
2003 — conf
Neural Modelling and Control of the Offset Printing Process.
Neural Networks and Computational Intelligence
Antanas Verikas, Lars Bergman, Kerstin Malmqvist, Marija Bacauskiene
2003 C conf
Selecting Salient Features for Classification Committees.
ICANN
Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist
2002 C conf
Selecting Neural Networks for Making a Committee Decision.
ICANN
Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist
2002 J jnl
Selecting Neural Networks for a Committee Decision.
Int. J. Neural Syst.
Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist
2001 J jnl
Combining neural networks, fuzzy sets, and the evidence theory based techniques for detecting colour specks.
J. Intell. Fuzzy Syst.
Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene
2001 — conf
Using Unlabelled Data to Train a Multilayer Perceptron.
ICAPR
Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist, Marija Bacauskiene
2001 J jnl
Using Unlabelled Data to Train a Multilayer Perceptron.
Neural Process. Lett.
Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist
2000 — conf
Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images.
IJCNN (2)
Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene
2000 J jnl
Monitoring the De-Inking Process through Neural Network-Based Colour Image Analysis.
Neural Comput. Appl.
Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman
2000 J jnl
Neural Networks Based Colour Measuring for Process Monitoring and Control in Multicoloured Newspaper Printing.
Neural Comput. Appl.
Antanas Verikas, Kerstin Malmqvist, Lars Bergman
1999 — conf
Possibilistic Neural Network Training for Detecting Color Specks.
SIP
Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman
1999 J jnl
Quality Function for Unsupervised Classification and its Use in Graphic Arts.
J. Adv. Comput. Intell. Intell. Informatics
Adas Gelzinis, Antanas Verikas, Kerstin Malmqvist
1999 J jnl
Soft combination of neural classifiers: A comparative study.
Pattern Recognit. Lett.
Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist, Marija Bacauskiene, Adas Gelzinis
1999 C conf
Using Labelled and Unlabelled Data to Train a Multilayer Perceptron for Colour Classification in Graphic Arts.
IEA/AIE
Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist
1998 J jnl
Colour Classification by Neural Networks in Graphic Arts.
Neural Comput. Appl.
Antanas Verikas, Kerstin Malmqvist, Lars Bergman, Mikael Signahl
1998 B conf
Soft Fusion of Neural Classifiers.
ICONIP
Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Arunas Lipnickas
1997 — conf
A Random Search Technique for Training Neural Networks.
ICONIP (1)
Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist
1997 J jnl
Colour image segmentation by modular neural network.
Pattern Recognit. Lett.
Antanas Verikas, Kerstin Malmqvist, Lars Bergman
1995 — conf
Increasing colour image segmentation accuracy by means of fuzzy post-processing.
ICNN
Antanas Verikas, Kerstin Malmqvist