| 2008 |
| 30 | EE | Adas Gelzinis,
Antanas Verikas,
Marija Bacauskiene:
Automated speech analysis applied to laryngeal disease categorization.
Computer Methods and Programs in Biomedicine 91(1): 36-47 (2008) |
| 29 | EE | Antanas Verikas,
Marija Bacauskiene,
D. Valincius,
Adas Gelzinis:
Predictor output sensitivity and feature similarity-based feature selection.
Fuzzy Sets and Systems 159(4): 422-434 (2008) |
| 2007 |
| 28 | EE | Adas Gelzinis,
Antanas Verikas,
Marija Bacauskiene:
Categorizing Laryngeal Images for Decision Support.
ACIVS 2007: 521-530 |
| 27 | EE | D. Valincius,
Antanas Verikas,
Marija Bacauskiene,
Adas Gelzinis:
Evolving Committees of Support Vector Machines.
MLDM 2007: 263-275 |
| 26 | EE | Antanas Verikas,
Adas Gelzinis,
D. Valincius,
Marija Bacauskiene,
Virgilijus Uloza:
Multiple feature sets based categorization of laryngeal images.
Computer Methods and Programs in Biomedicine 85(3): 257-266 (2007) |
| 25 | EE | Antanas Verikas,
Marija Bacauskiene,
Carl Magnus Nilsson:
Estimating the amount of cyan, magenta, yellow, and black inks in arbitrary colour pictures.
Neural Computing and Applications 16(2): 187-195 (2007) |
| 24 | EE | Adas Gelzinis,
Antanas Verikas,
Marija Bacauskiene:
Increasing the discrimination power of the co-occurrence matrix-based features.
Pattern Recognition 40(9): 2367-2372 (2007) |
| 2006 |
| 23 | EE | Antanas Verikas,
Marija Bacauskiene,
Carl Magnus Nilsson:
Soft Computing for Assessing the Quality of Colour Prints.
IEA/AIE 2006: 701-710 |
| 22 | EE | Marija Bacauskiene,
Vladas Cibulskis,
Antanas Verikas:
Selecting Variables for Neural Network Committees.
ISNN (1) 2006: 837-842 |
| 21 | EE | Antanas Verikas,
Adas Gelzinis,
Marija Bacauskiene,
Virgilijus Uloza:
Towards a computer-aided diagnosis system for vocal cord diseases.
Artificial Intelligence in Medicine 36(1): 71-84 (2006) |
| 20 | EE | Antanas Verikas,
Adas Gelzinis,
Marija Bacauskiene,
Virgilijus Uloza:
Integrating Global and Local Analysis of Color, Texture and Geometrical Information for Categorizing Laryngeal Images.
IJPRAI 20(8): 1187-1206 (2006) |
| 2005 |
| 19 | EE | Antanas Verikas,
Adas Gelzinis,
Marija Bacauskiene,
Virgilijus Uloza:
Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases.
IEA/AIE 2005: 69-78 |
| 18 | EE | Antanas Verikas,
Marija Bacauskiene:
Image analysis and fuzzy integration applied to print quality assessment.
Cybernetics and Systems 36(6): 549-564 (2005) |
| 17 | EE | Lars Bergman,
Antanas Verikas,
Marija Bacauskiene:
Unsupervised colour image segmentation applied to printing quality assessment.
Image Vision Comput. 23(4): 417-425 (2005) |
| 2004 |
| 16 | EE | Antanas Verikas,
Marija Bacauskiene,
Adas Gelzinis:
Leverages Based Neural Networks Fusion.
ICONIP 2004: 446-451 |
| 15 | EE | Marija Bacauskiene,
Antanas Verikas:
The Evidence Theory Based Post-Processing of Colour Images.
Informatica, Lith. Acad. Sci. 15(3): 315-328 (2004) |
| 14 | EE | Marija Bacauskiene,
Antanas Verikas:
Selecting salient features for classification based on neural network committees.
Pattern Recognition Letters 25(16): 1879-1891 (2004) |
| 2003 |
| 13 | EE | Antanas Verikas,
Marija Bacauskiene,
Kerstin Malmqvist:
Selecting Salient Features for Classification Committees.
ICANN 2003: 35-42 |
| 12 | | Antanas Verikas,
Lars Bergman,
Kerstin Malmqvist,
Marija Bacauskiene:
Neural Modelling and Control of the Offset Printing Process.
Neural Networks and Computational Intelligence 2003: 130-135 |
| 11 | EE | Antanas Verikas,
Marija Bacauskiene,
Alvydas Dosinas,
Vacys Bartkevicius,
Adas Gelzinis,
Mindaugas Vaitkunas,
Arunas Lipnickas:
An intelligent system for tuning magnetic field of a cathode ray tube deflection yoke.
Knowl.-Based Syst. 16(3): 161-164 (2003) |
| 10 | EE | Antanas Verikas,
Marija Bacauskiene,
Kerstin Malmqvist:
Learning an Adaptive Dissimilarity Measure for Nearest Neighbour Classification.
Neural Computing and Applications 11(3-4): 203-209 (2003) |
| 2002 |
| 9 | EE | Antanas Verikas,
Marija Bacauskiene:
Feature selection with neural networks.
Pattern Recognition Letters 23(11): 1323-1335 (2002) |
| 2001 |
| 8 | EE | Antanas Verikas,
Adas Gelzinis,
Kerstin Malmqvist,
Marija Bacauskiene:
Using Unlabelled Data to Train a Multilayer Perceptron.
ICAPR 2001: 40-49 |
| 7 | EE | Antanas Verikas,
Kerstin Malmqvist,
Marija Bacauskiene:
Combining neural networks, fuzzy sets, and the evidence theory based techniques for detecting colour specks.
Journal of Intelligent and Fuzzy Systems 10(2): 117-130 (2001) |
| 2000 |
| 6 | EE | Antanas Verikas,
Kerstin Malmqvist,
Marija Bacauskiene:
Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images.
IJCNN (2) 2000: 297 |
| 5 | EE | Antanas Verikas,
Kerstin Malmqvist,
Marija Bacauskiene,
Lars Bergman:
Monitoring the De-Inking Process through Neural Network-Based Colour Image Analysis.
Neural Computing and Applications 9(2): 142-151 (2000) |
| 1999 |
| 4 | | Antanas Verikas,
Kerstin Malmqvist,
Marija Bacauskiene,
Lars Bergman:
Possibilistic Neural Network Training for Detecting Color Specks.
SIP 1999: 323-327 |
| 3 | EE | Antanas Verikas,
Arunas Lipnickas,
Kerstin Malmqvist,
Marija Bacauskiene,
Adas Gelzinis:
Soft combination of neural classifiers: A comparative study.
Pattern Recognition Letters 20(4): 429-444 (1999) |
| 1998 |
| 2 | | Antanas Verikas,
Kerstin Malmqvist,
Marija Bacauskiene,
Arunas Lipnickas:
Soft Fusion of Neural Classifiers.
ICONIP 1998: 195-198 |
| 1992 |
| 1 | EE | Antanas Verikas,
Marija Bacauskiene,
S. J. Vilunas,
D. R. Skaisgiris:
Adaptive character recognition system.
Pattern Recognition Letters 13(3): 207-212 (1992) |