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Antanas Verikas
2010 – today
- 2013
[j56]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)- [j55]Zivile Kalsyte, Antanas Verikas: A novel approach to exploring company's financial soundness: Investor's perspective. Expert Syst. Appl. 40(13): 5085-5092 (2013)
- [j54]Jens Lundström, Antanas Verikas: Assessing print quality by machine in offset colour printing. Knowl.-Based Syst. 37: 70-79 (2013)
- 2012
- [j53]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)
- [j52]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)
- [j51]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)
- [j50]Cristofer Englund, Antanas Verikas: A novel approach to estimate proximity in a random forest: An exploratory study. Expert Syst. Appl. 39(17): 13046-13050 (2012)
- [j49]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)
- [j48]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
- [j47]Vilius Kontrimas, Antanas Verikas: The mass appraisal of the real estate by computational intelligence. Appl. Soft Comput. 11(1): 443-448 (2011)
- [j46]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)
- [j45]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)
- [j44]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)
- [j43]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)
- [j42]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)
- [c23]Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Virgilijus Uloza: Monitoring human larynx by random forests using questionnaire data. ISDA 2011: 914-919
- 2010
- [j41]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)
- [j40]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)
- [j39]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)
- [c22]Jens Lundström, Antanas Verikas: Detecting halftone dots for offset print quality assessment using soft computing. FUZZ-IEEE 2010: 1-7
2000 – 2009
- 2009
- [j38]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)
- [j37]Antanas Stasiunas, Antanas Verikas, Rimvydas Miliauskas, Natalija Stasiuniene: An adaptive model simulating the somatic motility and the active hair bundle motion of the OHC. Comp. in Bio. and Med. 39(9): 800-809 (2009)
- [j36]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)
- [j35]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)
- [c21]Jonas Guzaitis, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene: A Framework for Designing a Fuzzy Rule-Based Classifier. ADT 2009: 434-445
- [c20]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
- [j34]Cristofer Englund, Antanas Verikas: Ink flow control by multiple models in an offset lithographic printing process. Computers & Industrial Engineering 55(3): 592-605 (2008)
- [j33]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)
- [j32]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)
- [j31]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)
- [j30]Jonas Guzaitis, Antanas Verikas: An Efficient Technique to Detect Visual Defects in Particleboards. Informatica, Lith. Acad. Sci. 19(3): 363-376 (2008)
- 2007
- [j29]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)
- [j28]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)
- [j27]Cristofer Englund, Antanas Verikas: A SOM-based data mining strategy for adaptive modelling of an offset lithographic printing process. Eng. Appl. of AI 20(3): 391-400 (2007)
- [j26]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)
- [j25]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene: Increasing the discrimination power of the co-occurrence matrix-based features. Pattern Recognition 40(9): 2367-2372 (2007)
- [c19]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene: Categorizing Laryngeal Images for Decision Support. ACIVS 2007: 521-530
- [c18]Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas: Screening Paper Formation Variations on Production Line. IEA/AIE 2007: 511-520
- [c17]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
- [c16]D. Valincius, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis: Evolving Committees of Support Vector Machines. MLDM 2007: 263-275
- 2006
- [j24]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)
- [j23]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)
- [c15]Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson: Soft Computing for Assessing the Quality of Colour Prints. IEA/AIE 2006: 701-710
- [c14]Marija Bacauskiene, Vladas Cibulskis, Antanas Verikas: Selecting Variables for Neural Network Committees. ISNN (1) 2006: 837-842
- [c13]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
- 2005
- [j22]Antanas Verikas, Marija Bacauskiene: Image analysis and fuzzy integration applied to print quality assessment. Cybernetics and Systems 36(6): 549-564 (2005)
- [j21]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)
- [j20]Antanas Verikas, Kerstin Malmqvist, Lars Bergman: Detecting and measuring rings in banknote images. Eng. Appl. of AI 18(3): 363-371 (2005)
- [j19]Cristofer Englund, Antanas Verikas: A hybrid approach to outlier detection in the offset lithographic printing process. Eng. Appl. of AI 18(6): 759-768 (2005)
- [j18]Lars Bergman, Antanas Verikas, Marija Bacauskiene: Unsupervised colour image segmentation applied to printing quality assessment. Image Vision Comput. 23(4): 417-425 (2005)
- [c12]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza: Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases. IEA/AIE 2005: 69-78
- [c11]
- 2004
- [j17]Marija Bacauskiene, Antanas Verikas: The Evidence Theory Based Post-Processing of Colour Images. Informatica, Lith. Acad. Sci. 15(3): 315-328 (2004)
- [j16]Marija Bacauskiene, Antanas Verikas: Selecting salient features for classification based on neural network committees. Pattern Recognition Letters 25(16): 1879-1891 (2004)
- [c10]Antanas Verikas, Marija Bacauskiene, Adas Gelzinis: Leverages Based Neural Networks Fusion. ICONIP 2004: 446-451
- [c9]Lars Bergman, Antanas Verikas: Intelligent monitoring of the offset printing process. Neural Networks and Computational Intelligence 2004: 173-178
- 2003
- [j15]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)
- [j14]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)
- [c8]Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist: Selecting Salient Features for Classification Committees. ICANN 2003: 35-42
- [c7]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
- [j13]Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist: Selecting Neural Networks for a Committee Decision. Int. J. Neural Syst. 12(5): 351-361 (2002)
- [j12]Antanas Verikas, Arunas Lipnickas: Fusing Neural Networks Through Space Partitioning and Fuzzy Integration. Neural Processing Letters 16(1): 53-65 (2002)
- [j11]Antanas Verikas, Marija Bacauskiene: Feature selection with neural networks. Pattern Recognition Letters 23(11): 1323-1335 (2002)
- [c6]Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist: Selecting Neural Networks for Making a Committee Decision. ICANN 2002: 420-425
- 2001
- [j10]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)
- [j9]Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist: Using Unlabelled Data to Train a Multilayer Perceptron. Neural Processing Letters 14(3): 179-201 (2001)
- [c5]Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist, Marija Bacauskiene: Using Unlabelled Data to Train a Multilayer Perceptron. ICAPR 2001: 40-49
- 2000
- [j8]Antanas Verikas, Adas Gelzinis: Training neural networks by stochastic optimisation. Neurocomputing 30(1-4): 153-172 (2000)
- [j7]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)
- [j6]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)
- [c4]Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene: Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images. IJCNN (2) 2000: 297
1990 – 1999
- 1999
- [j5]Adas Gelzinis, Antanas Verikas, Kerstin Malmqvist: Quality Function for Unsupervised Classification and its Use in Graphic Arts. JACIII 3(6): 532-540 (1999)
- [j4]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)
- [c3]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
- [c2]Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman: Possibilistic Neural Network Training for Detecting Color Specks. SIP 1999: 323-327
- 1998
- [j3]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)
- [c1]Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Arunas Lipnickas: Soft Fusion of Neural Classifiers. ICONIP 1998: 195-198
- 1997
- [j2]Antanas Verikas, Kerstin Malmqvist, Lars Bergman: Colour image segmentation by modular neural network. Pattern Recognition Letters 18(2): 173-185 (1997)
- 1992
- [j1]Antanas Verikas, Marija Bacauskiene, S. J. Vilunas, D. R. Skaisgiris: Adaptive character recognition system. Pattern Recognition Letters 13(3): 207-212 (1992)
Coauthor Index
[j56] [j53] [j52] [j51] [j49] [j48] [j46] [j45] [j44] [j43] [j42] [c23] [j41] [j40] [j39] [j38] [j35] [c21] [c20] [j33] [j32] [j31] [j29] [j28] [j26] [j25] [c19] [c16] [j24] [j23] [c15] [c14] [j22] [j21] [j18] [c12] [j17] [j16] [c10] [j15] [j14] [c8] [c7] [j11] [j10] [c5] [j7] [c4] [j4] [c2] [c1] [j1]
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last updated on 2013-06-13 23:10 CEST by the dblp team