Antanas Verikas

	2009
50		Jonas Guzaitis, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene: A Framework for Designing a Fuzzy Rule-Based Classifier. ADT 2009: 434-445
49		A. Alzghoul, Antanas Verikas, M. Hållander, Marija Bacauskiene, Adas Gelzinis: Screening Paper Runnability in a Web-Offset Pressroom by Data Mining. ICDM 2009: 161-175
48		Marcus Ejnarsson, Antanas Verikas, Carl Magnus Nilsson: Multi-resolution screening of paper formation variations on production line. Expert Syst. Appl. 36(2): 3144-3152 (2009)
47		Marija Bacauskiene, Antanas Verikas, Adas Gelzinis, D. Valincius: A feature selection technique for generation of classification committees and its application to categorization of laryngeal images. Pattern Recognition 42(5): 645-654 (2009)
	2008
46		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)
45		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)
44		Jonas Guzaitis, Antanas Verikas: An Efficient Technique to Detect Visual Defects in Particleboards. Informatica, Lith. Acad. Sci. 19(3): 363-376 (2008)
	2007
43		Adas Gelzinis, Antanas Verikas, Marija Bacauskiene: Categorizing Laryngeal Images for Decision Support. ACIVS 2007: 521-530
42		Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas: Screening Paper Formation Variations on Production Line. IEA/AIE 2007: 511-520
41		Cristofer Englund, Antanas Verikas: Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press. Industrial Conference on Data Mining 2007: 214-227
40		D. Valincius, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis: Evolving Committees of Support Vector Machines. MLDM 2007: 263-275
39		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)
38		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)
37		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
36		Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson: Soft Computing for Assessing the Quality of Colour Prints. IEA/AIE 2006: 701-710
35		Marija Bacauskiene, Vladas Cibulskis, Antanas Verikas: Selecting Variables for Neural Network Committees. ISNN (1) 2006: 837-842
34		Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas: A Kernel Based Multi-resolution Time Series Analysis for Screening Deficiencies in Paper Production. ISNN (2) 2006: 1111-1116
33		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)
32		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
31		Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza: Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases. IEA/AIE 2005: 69-78
30		Cristofer Englund, Antanas Verikas: A SOM Based Model Combination Strategy. ISNN (1) 2005: 461-466
29		Antanas Verikas, Marija Bacauskiene: Image analysis and fuzzy integration applied to print quality assessment. Cybernetics and Systems 36(6): 549-564 (2005)
28		Lars Bergman, Antanas Verikas, Marija Bacauskiene: Unsupervised colour image segmentation applied to printing quality assessment. Image Vision Comput. 23(4): 417-425 (2005)
	2004
27		Antanas Verikas, Marija Bacauskiene, Adas Gelzinis: Leverages Based Neural Networks Fusion. ICONIP 2004: 446-451
26		Lars Bergman, Antanas Verikas: Intelligent monitoring of the offset printing process. Neural Networks and Computational Intelligence 2004: 173-178
25		Marija Bacauskiene, Antanas Verikas: The Evidence Theory Based Post-Processing of Colour Images. Informatica, Lith. Acad. Sci. 15(3): 315-328 (2004)
24		Marija Bacauskiene, Antanas Verikas: Selecting salient features for classification based on neural network committees. Pattern Recognition Letters 25(16): 1879-1891 (2004)
	2003
23		Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist: Selecting Salient Features for Classification Committees. ICANN 2003: 35-42
22		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
21		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)
20		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
19		Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist: Selecting Neural Networks for Making a Committee Decision. ICANN 2002: 420-425
18		Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist: Selecting Neural Networks for a Committee Decision. Int. J. Neural Syst. 12(5): 351-361 (2002)
17		Antanas Verikas, Arunas Lipnickas: Fusing Neural Networks Through Space Partitioning and Fuzzy Integration. Neural Processing Letters 16(1): 53-65 (2002)
16		Antanas Verikas, Marija Bacauskiene: Feature selection with neural networks. Pattern Recognition Letters 23(11): 1323-1335 (2002)
	2001
15		Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist, Marija Bacauskiene: Using Unlabelled Data to Train a Multilayer Perceptron. ICAPR 2001: 40-49
14		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)
13		Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist: Using Unlabelled Data to Train a Multilayer Perceptron. Neural Processing Letters 14(3): 179-201 (2001)
	2000
12		Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene: Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images. IJCNN (2) 2000: 297
11		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)
10		Antanas Verikas, Kerstin Malmqvist, Lars Bergman: Neural Networks Based Colour Measuring for Process Monitoring and Control in Multicoloured Newspaper Printing. Neural Computing and Applications 9(3): 227-242 (2000)
9		Antanas Verikas, Adas Gelzinis: Training neural networks by stochastic optimisation. Neurocomputing 30(1-4): 153-172 (2000)
	1999
8		Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist: Using Labelled and Unlabelled Data to Train a Multilayer Perceptron for Colour Classification in Graphic Arts. IEA/AIE 1999: 550-559
7		Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman: Possibilistic Neural Network Training for Detecting Color Specks. SIP 1999: 323-327
6		Adas Gelzinis, Antanas Verikas, Kerstin Malmqvist: Quality Function for Unsupervised Classification and its Use in Graphic Arts. JACIII 3(6): 532-540 (1999)
5		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
4		Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Arunas Lipnickas: Soft Fusion of Neural Classifiers. ICONIP 1998: 195-198
3		Antanas Verikas, Kerstin Malmqvist, Lars Bergman, Mikael Signahl: Colour Classification by Neural Networks in Graphic Arts. Neural Computing and Applications 7(1): 52-64 (1998)
	1997
2		Antanas Verikas, Kerstin Malmqvist, Lars Bergman: Colour image segmentation by modular neural network. Pattern Recognition Letters 18(2): 173-185 (1997)
	1992
1		Antanas Verikas, Marija Bacauskiene, S. J. Vilunas, D. R. Skaisgiris: Adaptive character recognition system. Pattern Recognition Letters 13(3): 207-212 (1992)

Coauthor Index

1	A. Alzghoul	[49]
2	Marija Bacauskiene	[1] [4] [5] [7] [11] [12] [14] [15] [16] [20] [21] [22] [23] [24] [25] [27] [28] [29] [31] [32] [33] [35] [36] [37] [38] [39] [40] [43] [45] [46] [47] [49] [50]
3	Vacys Bartkevicius	[21]
4	Lars Bergman	[2] [3] [7] [10] [11] [22] [26] [28]
5	Vladas Cibulskis	[35]
6	Alvydas Dosinas	[21]
7	Marcus Ejnarsson	[34] [42] [48]
8	Cristofer Englund	[30] [41]
9	Adas Gelzinis	[5] [6] [8] [9] [13] [15] [21] [27] [31] [32] [33] [37] [39] [40] [43] [45] [46] [47] [49] [50]
10	Jonas Guzaitis	[44] [50]
11	M. Hållander	[49]
12	Arunas Lipnickas	[4] [5] [17] [18] [19] [21]
13	Kerstin Malmqvist	[2] [3] [4] [5] [6] [7] [8] [10] [11] [12] [13] [14] [15] [18] [19] [20] [22] [23]
14	Carl Magnus Nilsson	[34] [36] [38] [42] [48]
15	Mikael Signahl	[3]
16	D. R. Skaisgiris	[1]
17	Virgilijus Uloza	[31] [32] [33] [39]
18	Mindaugas Vaitkunas	[21]
19	D. Valincius	[39] [40] [45] [47]
20	S. J. Vilunas	[1]

Colors in the list of coauthors