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- Publications
- Influence
Mining data with random forests: A survey and results of new tests
- A. Verikas, A. Gelzinis, M. Bacauskiene
- Mathematics, Computer Science
- Pattern Recognit.
- 1 February 2011
TLDR
Soft combination of neural classifiers: A comparative study
- A. Verikas, A. Lipnickas, Kerstin Malmqvist, M. Bacauskiene, A. Gelzinis
- Mathematics, Computer Science
- Pattern Recognit. Lett.
- 1 April 1999
TLDR
Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey
- A. Verikas, Zivile Kalsyte, M. Bacauskiene, A. Gelzinis
- Computer Science
- Soft Comput.
- 1 July 2010
TLDR
Exploring the feasibility of smart phone microphone for measurement of acoustic voice parameters and voice pathology screening
- V. Uloza, E. Padervinskis, +5 authors A. Verikas
- Medicine
- European Archives of Oto-Rhino-Laryngology
- 11 July 2015
The objective of this study is to evaluate the reliability of acoustic voice parameters obtained using smart phone (SP) microphones and investigate the utility of use of SP voice recordings for voice… Expand
Automated speech analysis applied to laryngeal disease categorization
- A. Gelzinis, A. Verikas, M. Bacauskiene
- Computer Science, Medicine
- Comput. Methods Programs Biomed.
- 1 July 2008
TLDR
A general framework for designing a fuzzy rule-based classifier
- A. Verikas, J. Guzaitis, A. Gelzinis, M. Bacauskiene
- Computer Science
- Knowledge and Information Systems
- 1 October 2011
This paper presents a general framework for designing a fuzzy rule-based classifier. Structure and parameters of the classifier are evolved through a two-stage genetic search. To reduce the search… Expand
Electromyographic Patterns during Golf Swing: Activation Sequence Profiling and Prediction of Shot Effectiveness
- A. Verikas, E. Vaiciukynas, A. Gelzinis, J. Parker, C. Olsson
- Computer Science, Medicine
- Sensors
- 1 April 2016
TLDR
Advances in laryngeal imaging
- A. Verikas, V. Uloza, M. Bacauskiene, A. Gelzinis, Edgaras Kelertas
- Medicine
- European Archives of Oto-Rhino-Laryngology
- 19 July 2009
Imaging and image analysis became an important issue in laryngeal diagnostics. Various techniques, such as videostroboscopy, videokymography, digital kymograpgy, or ultrasonography are available and… Expand
A feature selection technique for generation of classification committees and its application to categorization of laryngeal images
- M. Bacauskiene, A. Verikas, A. Gelzinis, D. Valincius
- Computer Science
- Pattern Recognit.
- 1 May 2009
TLDR
Random forests based monitoring of human larynx using questionnaire data
- M. Bacauskiene, A. Verikas, A. Gelzinis, Aurelija Vegiene
- Computer Science
- Expert Syst. Appl.
- 1 April 2012
TLDR