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Journal Articles
- 2018
[j44]Tadas Rimavicius, Adas Gelzinis, Antanas Verikas
, Evaldas Vaiciukynas, Marija Bacauskiene, Aleksej Saskov:
Automatic benthic imagery recognition using a hierarchical two-stage approach. Signal Image Video Process. 12(6): 1107-1114 (2018)- 2017
- [j43]Antanas Verikas, James Parker, Marija Bacauskiene, Charlotte Olsson:
Exploring relations between EMG and biomechanical data recorded during a golf swing. Expert Syst. Appl. 88: 109-117 (2017) - 2015
- [j42]Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene, Sigitas Sulcius, E. Simoliunas, J. Staniulis, R. Paskauskas:
Automatic detection and morphological delineation of bacteriophages in electron microscopy images. Comput. Biol. Medicine 64: 101-116 (2015) - [j41]Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Jonas Minelga, Magnus Hållander, Evaldas Padervinskis, Virgilijus Uloza:
Fusing voice and query data for non-invasive detection of laryngeal disorders. Expert Syst. Appl. 42(22): 8445-8453 (2015) - [j40]Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene:
A novel technique to extract accurate cell contours applied for segmentation of phytoplankton images. Mach. Vis. Appl. 26(2-3): 305-315 (2015) - 2014
- [j39]Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Zvi Kons, Aharon Satt, Ron Hoory:
Fusion of voice signal information for detection of mild laryngeal pathology. Appl. Soft Comput. 18: 91-103 (2014) - 2013
- [j38]Zivile Kalsyte, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis:
A novel approach to designing an adaptive committee applied to predicting company's future performance. Expert Syst. Appl. 40(6): 2051-2057 (2013) - 2012
- [j37]Marija Bacauskiene, Antanas Verikas, Adas Gelzinis, Aurelija Vegiene:
Random forests based monitoring of human larynx using questionnaire data. Expert Syst. Appl. 39(5): 5506-5512 (2012) - [j36]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Irina Olenina, Sergej 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) - [j35]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) - [j34]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Irina Olenina, Sergej Olenin, Evaldas Vaiciukynas:
Phase congruency-based detection of circular objects applied to analysis of phytoplankton images. Pattern Recognit. 45(4): 1659-1670 (2012) - [j33]Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza:
Exploring similarity-based classification of larynx disorders from human voice. Speech Commun. 54(5): 601-610 (2012) - 2011
- [j32]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) - [j31]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) - [j30]Antanas Stasiunas, Antanas Verikas, Rimvydas Miliauskas, Marija Bacauskiene:
A Serial-Parallel Panoramic Filter Bank as a Model of Frequency Decomposition of Complex Sounds in the Human Inner Ear. Informatica 22(2): 259-278 (2011) - [j29]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) - [j28]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene:
Mining data with random forests: A survey and results of new tests. Pattern Recognit. 44(2): 330-349 (2011) - 2010
- [j27]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. Artif. Intell. Medicine 49(1): 43-50 (2010) - [j26]Antanas Verikas, Adas Gelzinis, Marina 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) - [j25]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
- [j24]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza, Marius Kaseta:
Using the patient's questionnaire data to screen laryngeal disorders. Comput. Biol. Medicine 39(2): 148-155 (2009) - [j23]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 Recognit. 42(5): 645-654 (2009) - 2008
- [j22]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene:
Automated speech analysis applied to laryngeal disease categorization. Comput. Methods Programs Biomed. 91(1): 36-47 (2008) - [j21]Antanas Verikas, Marija Bacauskiene:
Estimating ink density from colour camera RGB values by the local kernel ridge regression. Eng. Appl. Artif. Intell. 21(1): 35-42 (2008) - [j20]Antanas Verikas, Marija Bacauskiene, D. Valincius, Adas Gelzinis:
Predictor output sensitivity and feature similarity-based feature selection. Fuzzy Sets Syst. 159(4): 422-434 (2008) - 2007
- [j19]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, D. Valincius, Virgilijus Uloza:
A kernel-based approach to categorizing laryngeal images. Comput. Medical Imaging Graph. 31(8): 587-594 (2007) - [j18]Antanas Verikas, Adas Gelzinis, D. Valincius, Marija Bacauskiene, Virgilijus Uloza:
Multiple feature sets based categorization of laryngeal images. Comput. Methods Programs Biomed. 85(3): 257-266 (2007) - [j17]Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson:
Estimating the amount of cyan, magenta, yellow, and black inks in arbitrary colour pictures. Neural Comput. Appl. 16(2): 187-195 (2007) - [j16]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene:
Increasing the discrimination power of the co-occurrence matrix-based features. Pattern Recognit. 40(9): 2367-2372 (2007) - 2006
- [j15]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza:
Towards a computer-aided diagnosis system for vocal cord diseases. Artif. Intell. Medicine 36(1): 71-84 (2006) - [j14]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza:
Integrating Global and Local Analysis of Color, Texture and Geometrical Information for Categorizing Laryngeal Images. Int. J. Pattern Recognit. Artif. Intell. 20(8): 1187-1206 (2006) - 2005
- [j13]Antanas Verikas, Marija Bacauskiene:
Image analysis and fuzzy integration applied to print quality assessment. Cybern. Syst. 36(6): 549-564 (2005) - [j12]Antanas Stasiunas, Antanas Verikas, Povilas Kemesis, Marija Bacauskiene, Rimvydas Miliauskas, Natalija Stasiuniene, Kerstin Malmqvist:
A multi-channel adaptive nonlinear filtering structure realizing some properties of the hearing system. Comput. Biol. Medicine 35(6): 495-510 (2005) - [j11]Lars Bergman, Antanas Verikas, Marija Bacauskiene:
Unsupervised colour image segmentation applied to printing quality assessment. Image Vis. Comput. 23(4): 417-425 (2005) - 2004
- [j10]Marija Bacauskiene, Antanas Verikas:
The Evidence Theory Based Post-Processing of Colour Images. Informatica 15(3): 315-328 (2004) - [j9]Antanas Verikas, Marija Bacauskiene, Alvydas Dosinas, Vacys Bartkevicius, Adas Gelzinis, Mindaugas Vaitkunas, Arunas Lipnickas:
Intelligent deflection yoke magnetic field tuning. J. Intell. Manuf. 15(3): 275-286 (2004) - [j8]Marija Bacauskiene, Antanas Verikas:
Selecting salient features for classification based on neural network committees. Pattern Recognit. Lett. 25(16): 1879-1891 (2004) - 2003
- [j7]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) - [j6]Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist:
Learning an Adaptive Dissimilarity Measure for Nearest Neighbour Classification. Neural Comput. Appl. 11(3-4): 203-209 (2003) - 2002
- [j5]Antanas Verikas, Marija Bacauskiene:
Feature selection with neural networks. Pattern Recognit. Lett. 23(11): 1323-1335 (2002) - 2001
- [j4]Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene:
Combining neural networks, fuzzy sets, and the evidence theory based techniques for detecting colour specks. J. Intell. Fuzzy Syst. 10(2): 117-130 (2001) - 2000
- [j3]Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman:
Monitoring the De-Inking Process through Neural Network-Based Colour Image Analysis. Neural Comput. Appl. 9(2): 142-151 (2000) - 1999
- [j2]Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist, Marija Bacauskiene, Adas Gelzinis:
Soft combination of neural classifiers: A comparative study. Pattern Recognit. Lett. 20(4): 429-444 (1999) - 1992
- [j1]Antanas Verikas, Marija Bacauskiene, S. J. Vilunas, D. R. Skaisgiris:
Adaptive character recognition system. Pattern Recognit. Lett. 13(3): 207-212 (1992)
Conference and Workshop Papers
- 2017
- [c22]Evaldas Vaiciukynas, Adas Gelzinis, Antanas Verikas, Marija Bacauskiene:
Parkinson's Disease Detection from Speech Using Convolutional Neural Networks. GOODTECHS 2017: 206-215 - 2016
- [c21]Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Kestutis Vaskevicius, Virgilijus Uloza, Evaldas Padervinskis, Jolita Ciceliene:
Fusing Various Audio Feature Sets for Detection of Parkinson's Disease from Sustained Voice and Speech Recordings. SPECOM 2016: 328-337 - 2014
- [c20]Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene, Jonas Minelga, Magnus Hållander, Virgilijus Uloza, Evaldas Padervinskis:
Exploring sustained phonation recorded with acoustic and contact microphones to screen for laryngeal disorders. CICARE 2014: 125-132 - 2013
- [c19]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Evaldas Vaiciukynas:
Learning Accurate Active Contours. EANN (1) 2013: 396-405 - 2011
- [c18]Antanas Stasiunas, Antanas Verikas, Rimvydas Miliauskas, Marija Bacauskiene:
An adaptive functional model of the filtering system in the cochlea of the inner ear. ISABEL 2011: 4:1-4:5 - [c17]Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Virgilijus Uloza:
Monitoring human larynx by random forests using questionnaire data. ISDA 2011: 914-919 - 2009
- [c16]Jonas Guzaitis, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene:
A Framework for Designing a Fuzzy Rule-Based Classifier. ADT 2009: 434-445 - [c15]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 - [c14]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Evaldas Vaiciukynas, Edgaras Kelertas, Virgilijus Uloza, Aurelija Vegiene:
Towards video laryngostroboscopy-based automated screening for laryngeal disorders. MAVEBA 2009: 125-128 - 2007
- [c13]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene:
Categorizing Laryngeal Images for Decision Support. ACIVS 2007: 521-530 - [c12]Marija Bacauskiene, Adas Gelzinis, Marius Kaseta, Marina Kovalenko, Ruta Pribuisiene, Virgilijus Uloza, Antanas Verikas:
Multiple feature sets and genetic search based discrimination of pathological voices. MAVEBA 2007: 195-198 - [c11]D. Valincius, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis:
Evolving Committees of Support Vector Machines. MLDM 2007: 263-275 - 2006
- [c10]Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson:
Soft Computing for Assessing the Quality of Colour Prints. IEA/AIE 2006: 701-710 - [c9]Marija Bacauskiene, Vladas Cibulskis, Antanas Verikas:
Selecting Variables for Neural Network Committees. ISNN (1) 2006: 837-842 - 2005
- [c8]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza:
Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases. IEA/AIE 2005: 69-78 - 2004
- [c7]Antanas Verikas, Marija Bacauskiene, Adas Gelzinis:
Leverages Based Neural Networks Fusion. ICONIP 2004: 446-451 - 2003
- [c6]Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist:
Selecting Salient Features for Classification Committees. ICANN 2003: 35-42 - [c5]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 - 2001
- [c4]Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist, Marija Bacauskiene:
Using Unlabelled Data to Train a Multilayer Perceptron. ICAPR 2001: 40-49 - 2000
- [c3]Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene:
Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images. IJCNN (2) 2000: 297 - 1999
- [c2]Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman:
Possibilistic Neural Network Training for Detecting Color Specks. SIP 1999: 323-327 - 1998
- [c1]Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Arunas Lipnickas:
Soft Fusion of Neural Classifiers. ICONIP 1998: 195-198
Coauthor Index
[j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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