Adas Gelzinis

	2012
34		Marija Bacauskiene, Antanas Verikas, Adas Gelzinis, A. Vegiene: Random forests based monitoring of human larynx using questionnaire data. Expert Syst. Appl. 39(5): 5506-5512 (2012)
33		Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, I. Olenina, S. Olenin, Evaldas Vaiciukynas: Automated image analysis- and soft computing-based detection of the invasive dinoflagellate Prorocentrum minimum (Pavillard) Schiller. Expert Syst. Appl. 39(5): 6069-6077 (2012)
32		Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Evaldas Vaiciukynas, Virgilijus Uloza: Questionnaire- versus voice-based screening for laryngeal disorders. Expert Syst. Appl. 39(6): 6254-6262 (2012)
31		Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, I. Olenina, S. Olenin, Evaldas Vaiciukynas: Phase congruency-based detection of circular objects applied to analysis of phytoplankton images. Pattern Recognition 45(4): 1659-1670 (2012)
30		Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza: Exploring similarity-based classification of larynx disorders from human voice. Speech Communication 54(5): 601-610 (2012)
	2011
29		Antanas Verikas, Adas Gelzinis, Magnus Hållander, Marija Bacauskiene, A. Alzghoul: Screening web breaks in a pressroom by soft computing. Appl. Soft Comput. 11(3): 3114-3124 (2011)
28		Antanas Verikas, Jens Lundström, Marija Bacauskiene, Adas Gelzinis: Advances in computational intelligence-based print quality assessment and control in offset colour printing. Expert Syst. Appl. 38(10): 13441-13447 (2011)
27		Antanas Verikas, Jonas Guzaitis, Adas Gelzinis, Marija Bacauskiene: A general framework for designing a fuzzy rule-based classifier. Knowl. Inf. Syst. 29(1): 203-221 (2011)
26		Antanas Verikas, Adas Gelzinis, Marija Bacauskiene: Mining data with random forests: A survey and results of new tests. Pattern Recognition 44(2): 330-349 (2011)
	2010
25		Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Magnus Hållander, Virgilijus Uloza, Marius Kaseta: Combining image, voice, and the patient's questionnaire data to categorize laryngeal disorders. Artificial Intelligence in Medicine 49(1): 43-50 (2010)
24		Antanas Verikas, Adas Gelzinis, M. Kovalenko, Marija Bacauskiene: Selecting features from multiple feature sets for SVM committee-based screening of human larynx. Expert Syst. Appl. 37(10): 6957-6962 (2010)
23		Antanas Verikas, Zivile Kalsyte, Marija Bacauskiene, Adas Gelzinis: Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey. Soft Comput. 14(9): 995-1010 (2010)
	2009
22		Jonas Guzaitis, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene: A Framework for Designing a Fuzzy Rule-Based Classifier. ADT 2009: 434-445
21		A. Alzghoul, Antanas Verikas, Magnus Hållander, Marija Bacauskiene, Adas Gelzinis: Screening Paper Runnability in a Web-Offset Pressroom by Data Mining. ICDM 2009: 161-175
20		Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza, Marius Kaseta: Using the patient's questionnaire data to screen laryngeal disorders. Comp. in Bio. and Med. 39(2): 148-155 (2009)
19		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
18		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)
17		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
16		Adas Gelzinis, Antanas Verikas, Marija Bacauskiene: Categorizing Laryngeal Images for Decision Support. ACIVS 2007: 521-530
15		D. Valincius, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis: Evolving Committees of Support Vector Machines. MLDM 2007: 263-275
14		Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, D. Valincius, Virgilijus Uloza: A kernel-based approach to categorizing laryngeal images. Comp. Med. Imag. and Graph. 31(8): 587-594 (2007)
13		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)
12		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
11		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)
10		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
9		Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza: Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases. IEA/AIE 2005: 69-78
	2004
8		Antanas Verikas, Marija Bacauskiene, Adas Gelzinis: Leverages Based Neural Networks Fusion. ICONIP 2004: 446-451
	2003
7		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)
	2001
6		Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist, Marija Bacauskiene: Using Unlabelled Data to Train a Multilayer Perceptron. ICAPR 2001: 40-49
5		Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist: Using Unlabelled Data to Train a Multilayer Perceptron. Neural Processing Letters 14(3): 179-201 (2001)
	2000
4		Antanas Verikas, Adas Gelzinis: Training neural networks by stochastic optimisation. Neurocomputing 30(1-4): 153-172 (2000)
	1999
3		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
2		Adas Gelzinis, Antanas Verikas, Kerstin Malmqvist: Quality Function for Unsupervised Classification and its Use in Graphic Arts. JACIII 3(6): 532-540 (1999)
1		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)

Coauthor Index

1	A. Alzghoul	[21] [29]
2	Marija Bacauskiene	[1] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34]
3	Vacys Bartkevicius	[7]
4	Alvydas Dosinas	[7]
5	Jonas Guzaitis	[22] [27]
6	Magnus Hållander	[21] [25] [29]
7	Zivile Kalsyte	[23]
8	Marius Kaseta	[20] [25]
9	M. Kovalenko	[24]
10	Arunas Lipnickas	[1] [7]
11	Jens Lundström	[28]
12	Kerstin Malmqvist	[1] [2] [3] [5] [6]
13	S. Olenin	[31] [33]
14	I. Olenina	[31] [33]
15	Virgilijus Uloza	[9] [10] [11] [13] [14] [20] [25] [30] [32]
16	Evaldas Vaiciukynas	[30] [31] [32] [33]
17	Mindaugas Vaitkunas	[7]
18	D. Valincius	[13] [14] [15] [17] [19]
19	A. Vegiene	[34]
20	Antanas Verikas	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34]

Last update Fri Jun 1 15:44:53 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page