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Adas Gelzinis
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2010 – 2019
- 2018
- [j34]Tadas Rimavicius, Adas Gelzinis, Antanas Verikas
, Evaldas Vaiciukynas
Automatic benthic imagery recognition using a hierarchical two-stage approach. Signal Image Video Process. 12(6): 1107-1114 (2018) - 2017
- [c17]Evaldas Vaiciukynas
Parkinson's Disease Detection from Speech Using Convolutional Neural Networks. GOODTECHS 2017: 206-215 - [c16]Tadas Rimavicius, Adas Gelzinis:
A Comparison of the Deep Learning Methods for Solving Seafloor Image Classification Task. ICIST 2017: 442-453 - 2016
- [j33]Antanas Verikas
Electromyographic Patterns during Golf Swing: Activation Sequence Profiling and Prediction of Shot Effectiveness. Sensors 16(4): 592 (2016) - [c15]Evaldas Vaiciukynas
Fusing Various Audio Feature Sets for Detection of Parkinson's Disease from Sustained Voice and Speech Recordings. SPECOM 2016: 328-337 - 2015
- [j32]Adas Gelzinis, Antanas Verikas
Automatic detection and morphological delineation of bacteriophages in electron microscopy images. Comput. Biol. Medicine 64: 101-116 (2015) - [j31]Evaldas Vaiciukynas
Fusing voice and query data for non-invasive detection of laryngeal disorders. Expert Syst. Appl. 42(22): 8445-8453 (2015) - [j30]Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas
A novel technique to extract accurate cell contours applied for segmentation of phytoplankton images. Mach. Vis. Appl. 26(2-3): 305-315 (2015) - 2014
- [j29]Evaldas Vaiciukynas
Fusion of voice signal information for detection of mild laryngeal pathology. Appl. Soft Comput. 18: 91-103 (2014) - [c14]Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas
Exploring sustained phonation recorded with acoustic and contact microphones to screen for laryngeal disorders. CICARE 2014: 125-132 - 2013
- [j28]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) - [c13]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Evaldas Vaiciukynas
Learning Accurate Active Contours. EANN (1) 2013: 396-405 - 2012
- [j27]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) - [j26]Antanas Verikas
Automated image analysis- and soft computing-based detection of the invasive dinoflagellate Prorocentrum minimum (Pavillard) Schiller. Expert Syst. Appl. 39(5): 6069-6077 (2012) - [j25]Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Evaldas Vaiciukynas
Questionnaire- versus voice-based screening for laryngeal disorders. Expert Syst. Appl. 39(6): 6254-6262 (2012) - [j24]Antanas Verikas
Phase congruency-based detection of circular objects applied to analysis of phytoplankton images. Pattern Recognit. 45(4): 1659-1670 (2012) - [j23]Evaldas Vaiciukynas
Exploring similarity-based classification of larynx disorders from human voice. Speech Commun. 54(5): 601-610 (2012) - 2011
- [j22]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) - [j21]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) - [j20]Antanas Verikas
A general framework for designing a fuzzy rule-based classifier. Knowl. Inf. Syst. 29(1): 203-221 (2011) - [j19]Antanas Verikas
Mining data with random forests: A survey and results of new tests. Pattern Recognit. 44(2): 330-349 (2011) - [c12]Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Virgilijus Uloza:
Monitoring human larynx by random forests using questionnaire data. ISDA 2011: 914-919 - 2010
- [j18]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) - [j17]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) - [j16]Antanas Verikas
Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey. Soft Comput. 14(9): 995-1010 (2010)
2000 – 2009
- 2009
- [j15]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) - [j14]Marija Bacauskiene, Antanas Verikas
A feature selection technique for generation of classification committees and its application to categorization of laryngeal images. Pattern Recognit. 42(5): 645-654 (2009) - [c11]Jonas Guzaitis, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene:
A Framework for Designing a Fuzzy Rule-Based Classifier. ADT 2009: 434-445 - [c10]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 - [c9]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 - 2008
- [j13]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene:
Automated speech analysis applied to laryngeal disease categorization. Comput. Methods Programs Biomed. 91(1): 36-47 (2008) - [j12]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
- [j11]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) - [j10]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) - [j9]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene:
Increasing the discrimination power of the co-occurrence matrix-based features. Pattern Recognit. 40(9): 2367-2372 (2007) - [c8]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene:
Categorizing Laryngeal Images for Decision Support. ACIVS 2007: 521-530 - [c7]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 - [c6]D. Valincius, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis:
Evolving Committees of Support Vector Machines. MLDM 2007: 263-275 - 2006
- [j8]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) - [j7]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
- [c5]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza:
Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases. IEA/AIE 2005: 69-78 - 2004
- [j6]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) - [c4]Antanas Verikas, Marija Bacauskiene, Adas Gelzinis:
Leverages Based Neural Networks Fusion. ICONIP 2004: 446-451 - 2003
- [j5]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
- [j4]Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist:
Using Unlabelled Data to Train a Multilayer Perceptron. Neural Process. Lett. 14(3): 179-201 (2001) - [c3]Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist, Marija Bacauskiene:
Using Unlabelled Data to Train a Multilayer Perceptron. ICAPR 2001: 40-49 - 2000
- [j3]Antanas Verikas, Adas Gelzinis:
Training neural networks by stochastic optimisation. Neurocomputing 30(1-4): 153-172 (2000)
1990 – 1999
- 1999
- [j2]Adas Gelzinis, Antanas Verikas, Kerstin Malmqvist:
Quality Function for Unsupervised Classification and its Use in Graphic Arts. J. Adv. Comput. Intell. Intell. Informatics 3(6): 532-540 (1999) - [j1]Antanas Verikas, Arunas Lipnickas
Soft combination of neural classifiers: A comparative study. Pattern Recognit. Lett. 20(4): 429-444 (1999) - [c2]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 - 1997
- [c1]Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist:
A Random Search Technique for Training Neural Networks. ICONIP (1) 1997: 322-325
Coauthor Index
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