2008 |
17 | EE | 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) |
16 | EE | 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 |
15 | EE | Adas Gelzinis,
Antanas Verikas,
Marija Bacauskiene:
Categorizing Laryngeal Images for Decision Support.
ACIVS 2007: 521-530 |
14 | EE | D. Valincius,
Antanas Verikas,
Marija Bacauskiene,
Adas Gelzinis:
Evolving Committees of Support Vector Machines.
MLDM 2007: 263-275 |
13 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Antanas Verikas,
Adas Gelzinis,
Marija Bacauskiene,
Virgilijus Uloza:
Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases.
IEA/AIE 2005: 69-78 |
2004 |
8 | EE | Antanas Verikas,
Marija Bacauskiene,
Adas Gelzinis:
Leverages Based Neural Networks Fusion.
ICONIP 2004: 446-451 |
2003 |
7 | EE | 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 | EE | 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 | EE | 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 | EE | Adas Gelzinis,
Antanas Verikas,
Kerstin Malmqvist:
Quality Function for Unsupervised Classification and its Use in Graphic Arts.
JACIII 3(6): 532-540 (1999) |
1 | EE | 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) |