| 2013 | ||
|---|---|---|
| j37 | 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 | ||
| j36 | 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) | |
| j35 | 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) | |
| j34 | 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) | |
| j33 | 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) | |
| j32 | 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 | ||
| j31 | 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) | |
| j30 | 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) | |
| j29 | 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, Lith. Acad. Sci. 22(2): 259-278 (2011) | |
| j28 | 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) | |
| j27 | 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) | |
| c15 | Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Virgilijus Uloza: Monitoring human larynx by random forests using questionnaire data. ISDA 2011: 914-919 | |
| 2010 | ||
| j26 | 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) | |
| j25 | 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) | |
| j24 | 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 | ||
| j23 | 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) | |
| j22 | 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) | |
| c14 | Jonas Guzaitis, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene: A Framework for Designing a Fuzzy Rule-Based Classifier. ADT 2009: 434-445 | |
| c13 | 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 | |
| 2008 | ||
| j21 | 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) | |
| j20 | Antanas Verikas, Marija Bacauskiene: Estimating ink density from colour camera RGB values by the local kernel ridge regression. Eng. Appl. of AI 21(1): 35-42 (2008) | |
| j19 | 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 | ||
| j18 | 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) | |
| j17 | 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) | |
| j16 | 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) | |
| j15 | Adas Gelzinis, Antanas Verikas, Marija Bacauskiene: Increasing the discrimination power of the co-occurrence matrix-based features. Pattern Recognition 40(9): 2367-2372 (2007) | |
| c12 | Adas Gelzinis, Antanas Verikas, Marija Bacauskiene: Categorizing Laryngeal Images for Decision Support. ACIVS 2007: 521-530 | |
| c11 | D. Valincius, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis: Evolving Committees of Support Vector Machines. MLDM 2007: 263-275 | |
| 2006 | ||
| j14 | 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) | |
| j13 | 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) | |
| 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 | ||
| j12 | Antanas Verikas, Marija Bacauskiene: Image analysis and fuzzy integration applied to print quality assessment. Cybernetics and Systems 36(6): 549-564 (2005) | |
| j11 | 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. Comp. in Bio. and Med. 35(6): 495-510 (2005) | |
| j10 | Lars Bergman, Antanas Verikas, Marija Bacauskiene: Unsupervised colour image segmentation applied to printing quality assessment. Image Vision Comput. 23(4): 417-425 (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 | ||
| j9 | Marija Bacauskiene, Antanas Verikas: The Evidence Theory Based Post-Processing of Colour Images. Informatica, Lith. Acad. Sci. 15(3): 315-328 (2004) | |
| j8 | Marija Bacauskiene, Antanas Verikas: Selecting salient features for classification based on neural network committees. Pattern Recognition Letters 25(16): 1879-1891 (2004) | |
| c7 | Antanas Verikas, Marija Bacauskiene, Adas Gelzinis: Leverages Based Neural Networks Fusion. ICONIP 2004: 446-451 | |
| 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 Computing and Applications 11(3-4): 203-209 (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 | |
| 2002 | ||
| j5 | Antanas Verikas, Marija Bacauskiene: Feature selection with neural networks. Pattern Recognition Letters 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. Journal of Intelligent and Fuzzy Systems 10(2): 117-130 (2001) | |
| c4 | Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist, Marija Bacauskiene: Using Unlabelled Data to Train a Multilayer Perceptron. ICAPR 2001: 40-49 | |
| 2000 | ||
| j3 | 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) | |
| 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 | ||
| j2 | 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) | |
| 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 | |
| 1992 | ||
| j1 | Antanas Verikas, Marija Bacauskiene, S. J. Vilunas, D. R. Skaisgiris: Adaptive character recognition system. Pattern Recognition Letters 13(3): 207-212 (1992) | |
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