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Antanas Verikas: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist
    Selecting Salient Features for Classification Committees. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:35-42 [Conf]
  2. Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist
    Selecting Neural Networks for Making a Committee Decision. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:420-425 [Conf]
  3. Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist, Marija Bacauskiene
    Using Unlabelled Data to Train a Multilayer Perceptron. [Citation Graph (0, 0)][DBLP]
    ICAPR, 2001, pp:40-49 [Conf]
  4. Antanas Verikas, Marija Bacauskiene, Adas Gelzinis
    Leverages Based Neural Networks Fusion. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:446-451 [Conf]
  5. Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Arunas Lipnickas
    Soft Fusion of Neural Classifiers. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:195-198 [Conf]
  6. Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson
    Soft Computing for Assessing the Quality of Colour Prints. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2006, pp:701-710 [Conf]
  7. Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza
    Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2005, pp:69-78 [Conf]
  8. Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist
    Using Labelled and Unlabelled Data to Train a Multilayer Perceptron for Colour Classification in Graphic Arts. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1999, pp:550-559 [Conf]
  9. Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene
    Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:297- [Conf]
  10. Marija Bacauskiene, Vladas Cibulskis, Antanas Verikas
    Selecting Variables for Neural Network Committees. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:837-842 [Conf]
  11. Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas
    A Kernel Based Multi-resolution Time Series Analysis for Screening Deficiencies in Paper Production. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:1111-1116 [Conf]
  12. Cristofer Englund, Antanas Verikas
    A SOM Based Model Combination Strategy. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2005, pp:461-466 [Conf]
  13. Lars Bergman, Antanas Verikas
    Intelligent monitoring of the offset printing process. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2004, pp:173-178 [Conf]
  14. Antanas Verikas, Lars Bergman, Kerstin Malmqvist, Marija Bacauskiene
    Neural Modelling and Control of the Offset Printing Process. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2003, pp:130-135 [Conf]
  15. Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman
    Possibilistic Neural Network Training for Detecting Color Specks. [Citation Graph (0, 0)][DBLP]
    SIP, 1999, pp:323-327 [Conf]
  16. Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza
    Towards a computer-aided diagnosis system for vocal cord diseases. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2006, v:36, n:1, pp:71-84 [Journal]
  17. Antanas Verikas, Marija Bacauskiene
    Image analysis and fuzzy integration applied to print quality assessment. [Citation Graph (0, 0)][DBLP]
    Cybernetics and Systems, 2005, v:36, n:6, pp:549-564 [Journal]
  18. Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist
    Selecting Neural Networks for a Committee Decision. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2002, v:12, n:5, pp:351-361 [Journal]
  19. Antanas Verikas, Adas Gelzinis
    Training neural networks by stochastic optimisation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:30, n:1-4, pp:153-172 [Journal]
  20. Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza
    Integrating Global and Local Analysis of Color, Texture and Geometrical Information for Categorizing Laryngeal Images. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2006, v:20, n:8, pp:1187-1206 [Journal]
  21. Marija Bacauskiene, Antanas Verikas
    The Evidence Theory Based Post-Processing of Colour Images. [Citation Graph (0, 0)][DBLP]
    Informatica, Lith. Acad. Sci., 2004, v:15, n:3, pp:315-328 [Journal]
  22. Lars Bergman, Antanas Verikas, Marija Bacauskiene
    Unsupervised colour image segmentation applied to printing quality assessment. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2005, v:23, n:4, pp:417-425 [Journal]
  23. Adas Gelzinis, Antanas Verikas, Kerstin Malmqvist
    Quality Function for Unsupervised Classification and its Use in Graphic Arts. [Citation Graph (0, 0)][DBLP]
    JACIII, 1999, v:3, n:6, pp:532-540 [Journal]
  24. Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene
    Combining neural networks, fuzzy sets, and the evidence theory based techniques for detecting colour specks. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2001, v:10, n:2, pp:117-130 [Journal]
  25. 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. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2003, v:16, n:3, pp:161-164 [Journal]
  26. Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson
    Estimating the amount of cyan, magenta, yellow, and black inks in arbitrary colour pictures. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2007, v:16, n:2, pp:187-195 [Journal]
  27. Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist
    Learning an Adaptive Dissimilarity Measure for Nearest Neighbour Classification. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2003, v:11, n:3-4, pp:203-209 [Journal]
  28. Antanas Verikas, Kerstin Malmqvist, Lars Bergman
    Neural Networks Based Colour Measuring for Process Monitoring and Control in Multicoloured Newspaper Printing. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2000, v:9, n:3, pp:227-242 [Journal]
  29. Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman
    Monitoring the De-Inking Process through Neural Network-Based Colour Image Analysis. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2000, v:9, n:2, pp:142-151 [Journal]
  30. Antanas Verikas, Kerstin Malmqvist, Lars Bergman, Mikael Signahl
    Colour Classification by Neural Networks in Graphic Arts. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1998, v:7, n:1, pp:52-64 [Journal]
  31. Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist
    Using Unlabelled Data to Train a Multilayer Perceptron. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2001, v:14, n:3, pp:179-201 [Journal]
  32. Antanas Verikas, Arunas Lipnickas
    Fusing Neural Networks Through Space Partitioning and Fuzzy Integration. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:16, n:1, pp:53-65 [Journal]
  33. Marija Bacauskiene, Antanas Verikas
    Selecting salient features for classification based on neural network committees. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:16, pp:1879-1891 [Journal]
  34. Antanas Verikas, Marija Bacauskiene
    Feature selection with neural networks. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2002, v:23, n:11, pp:1323-1335 [Journal]
  35. Antanas Verikas, Marija Bacauskiene, S. J. Vilunas, D. R. Skaisgiris
    Adaptive character recognition system. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1992, v:13, n:3, pp:207-212 [Journal]
  36. Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist, Marija Bacauskiene, Adas Gelzinis
    Soft combination of neural classifiers: A comparative study. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:4, pp:429-444 [Journal]
  37. Antanas Verikas, Kerstin Malmqvist, Lars Bergman
    Colour image segmentation by modular neural network. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:2, pp:173-185 [Journal]
  38. Antanas Verikas, Adas Gelzinis, D. Valincius, Marija Bacauskiene, Virgilijus Uloza
    Multiple feature sets based categorization of laryngeal images. [Citation Graph (0, 0)][DBLP]
    Computer Methods and Programs in Biomedicine, 2007, v:85, n:3, pp:257-266 [Journal]
  39. Adas Gelzinis, Antanas Verikas, Marija Bacauskiene
    Categorizing Laryngeal Images for Decision Support. [Citation Graph (0, 0)][DBLP]
    ACIVS, 2007, pp:521-530 [Conf]
  40. Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas
    Screening Paper Formation Variations on Production Line. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2007, pp:511-520 [Conf]
  41. Cristofer Englund, Antanas Verikas
    Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2007, pp:214-227 [Conf]
  42. D. Valincius, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis
    Evolving Committees of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    MLDM, 2007, pp:263-275 [Conf]
  43. Adas Gelzinis, Antanas Verikas, Marija Bacauskiene
    Increasing the discrimination power of the co-occurrence matrix-based features. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:9, pp:2367-2372 [Journal]

  44. Screening Paper Runnability in a Web-Offset Pressroom by Data Mining. [Citation Graph (, )][DBLP]


  45. A Framework for Designing a Fuzzy Rule-Based Classifier. [Citation Graph (, )][DBLP]


  46. Combining image, voice, and the patient's questionnaire data to categorize laryngeal disorders. [Citation Graph (, )][DBLP]


  47. The mass appraisal of the real estate by computational intelligence. [Citation Graph (, )][DBLP]


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