A. Gelzinis

发表

Mining data with random forests: A survey and results of new tests

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2011, Pattern Recognit..

Exploiting statistical energy test for comparison of multiple groups in morphometric and chemometric data

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2015 .

An Integrated Approach to Analysis of Phytoplankton Images

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2015, IEEE Journal of Oceanic Engineering.

Advances in laryngeal imaging

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2009, European Archives of Oto-Rhino-Laryngology.

The dinoflagellate Prorocentrum cordatum at the edge of the salinity tolerance: The growth is slower but cells are larger

A. Verikas, A. Gelzinis, M. Bacauskiene, 2016 .

New electroactive polymers with electronically isolated 3,6,9-triarylcarbazole units as efficient hole transporting materials for organic light emitting diodes

A. Gelzinis, Z. Xie, S. Grigalevicius, 2017 .

An intelligent system for tuning magnetic field of a cathode ray tube deflection yoke

A. Verikas, A. Gelzinis, M. Bacauskiene, 2003, Knowl. Based Syst..

Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2010 .

Detecting Parkinson’s disease from sustained phonation and speech signals

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2017, PloS one.

Evolving Committees of Support Vector Machines

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2007, MLDM.

Soft combination of neural classifiers: A comparative study

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 1999, Pattern Recognit. Lett..

Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2010, Soft Comput..

Exploring the feasibility of smart phone microphone for measurement of acoustic voice parameters and voice pathology screening

Antanas Verikas, Adas Gelzinis, Virgilijus Uloza, 2015, European Archives of Oto-Rhino-Laryngology.

Electromyographic Patterns during Golf Swing: Activation Sequence Profiling and Prediction of Shot Effectiveness

Antanas Verikas, Adas Gelzinis, James Parker, 2016, Sensors.

A general framework for designing a fuzzy rule-based classifier

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2011, Knowledge and Information Systems.

A Framework for Designing a Fuzzy Rule-Based Classifier

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2009, ADT.

Automatic detection and morphological delineation of bacteriophages in electron microscopy images

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2015, Comput. Biol. Medicine.

A feature selection technique for generation of classification committees and its application to categorization of laryngeal images

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2009, Pattern Recognit..

Phase congruency-based detection of circular objects applied to analysis of phytoplankton images

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2012, Pattern Recognit..

Automated image analysis- and soft computing-based detection of the invasive dinoflagellate Prorocentrum minimum (Pavillard) Schiller

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2012, Expert Syst. Appl..

Intelligent deflection yoke magnetic field tuning

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2004, J. Intell. Manuf..

Categorizing cells in phytoplankton images

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2011 .

Detecting P. minimum cells in phytoplankton images

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2011 .

A novel technique to extract accurate cell contours applied for segmentation of phytoplankton images

A. Verikas, A. Gelzinis, M. Bacauskiene, 2015, Machine Vision and Applications.

Boosting performance of the edge-based active contour model applied to phytoplankton images

A. Verikas, M. Bacauskiene, A. Gelzinis, 2012, 2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI).

Advances in computational intelligence-based print quality assessment and control in offset colour printing

A. Verikas, J. Lundström, M. Bacauskiene, 2011, Expert Syst. Appl..

Parkinson's Disease Detection from Speech Using Convolutional Neural Networks

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2017, GOODTECHS.

Quantitative microlaryngoscopic measurements of vocal fold polyps, glottal gap and their relation to vocal function.

A. Gelzinis, M. Bacauskiene, V. Uloza, 2008, Medicina.

Selecting features from multiple feature sets for SVM committee-based screening of human larynx

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2010, Expert Syst. Appl..

Learning Accurate Active Contours

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2013, EANN.

Fusing voice and query data for non-invasive detection of laryngeal disorders

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2015, Expert Syst. Appl..

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2012, Speech Commun..

Fusing Various Audio Feature Sets for Detection of Parkinson's Disease from Sustained Voice and Speech Recordings

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2016, SPECOM.

Training neural networks by stochastic optimisation

Antanas Verikas, Adas Gelzinis, A. Verikas, 2000, Neurocomputing.

Categorizing normal and pathological voices: automated and perceptual categorization.

A. Verikas, A. Gelzinis, M. Bacauskiene, 2011, Journal of voice : official journal of the Voice Foundation.

Fusion of voice signal information for detection of mild laryngeal pathology

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2014, Appl. Soft Comput..

A novel approach to designing an adaptive committee applied to predicting company's future performance

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2013, Expert Syst. Appl..

ENHANCING DECISION-LEVEL FUSION THROUGH CLUSTER-BASED PARTITIONING OF FEATURE SET

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2014, SOCO 2014.

Increasing the discrimination power of the co-occurrence matrix-based features

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, 2007, Pattern Recognit..

Using unlabeled data for learning classification problems

Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist, 2002 .

Selecting Salient Features for Classification Committees

Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist, 2003, ICANN.

Data dependent random forest applied to screening for laryngeal disorders through analysis of sustained phonation: acoustic versus contact microphone.

A Gelzinis, A Verikas, E Vaiciukynas, 2015, Medical engineering & physics.