Antanas Verikas

According to our database, Antanas Verikas authored at least 107 papers between 1985 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Towards emotion recognition for virtual environments: an evaluation of EEG features on benchmark dataset.

M. L. Menezes, Anas Samara, Leo Galway, A. Sant'anna, Antanas Verikas, Fernando Alonso-Fernandez, H. Wang, Raymond R. Bond

CoRR, 2022

2021

Automated Quantification of Brittle Stars in Seabed Imagery Using Computer Vision Techniques.

Kazimieras Buskus, Evaldas Vaiciukynas, Antanas Verikas, Saule Medelyte, Andrius Siaulys, Aleksej Saskov

Sensors, 2021

2020

Assessing Parkinson's disease severity using speech analysis in non-native speakers.

Taha Khan, Lina E. Lundgren, David G. Anderson, Irena Nowak, Mark Dougherty, Antanas Verikas, Misha Pavel, Holly B. Jimison, Slawomir Nowaczyk, Vered Aharonson

Comput. Speech Lang., 2020

2018

Automatic benthic imagery recognition using a hierarchical two-stage approach.

Tadas Rimavicius, Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene, Aleksej Saskov

Signal Image Video Process., 2018

Agreeing to disagree: active learning with noisy labels without crowdsourcing.

Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, KC Santosh, Antanas Verikas

Int. J. Mach. Learn. Cybern., 2018

2017

Towards emotion recognition for virtual environments: an evaluation of eeg features on benchmark dataset.

Maria Luiza Recena Menezes, Anas Samara, Leo Galway, Anita Pinheiro Sant'Anna, Antanas Verikas, Fernando Alonso-Fernandez, Hui Wang, Raymond R. Bond

Pers. Ubiquitous Comput., 2017

Exploring relations between EMG and biomechanical data recorded during a golf swing.

Antanas Verikas, James Parker, Marija Bacauskiene, Charlotte Olsson

Expert Syst. Appl., 2017

Predicting physiological parameters in fatiguing bicycling exercises using muscle activation timing.

Petras Razanskas, Antanas Verikas, Per-Arne Viberg, Charlotte Olsson

Biomed. Signal Process. Control., 2017

Parkinson's Disease Detection from Speech Using Convolutional Neural Networks.

Evaldas Vaiciukynas, Adas Gelzinis, Antanas Verikas, Marija Bacauskiene

Proceedings of the Smart Objects and Technologies for Social Good, 2017

2016

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

Antanas Verikas, Evaldas Vaiciukynas, Adas Gelzinis, James Parker, Charlotte Olsson

Sensors, 2016

Detecting and exploring deviating behaviour of smart home residents.

Jens Lundström, Eric Järpe, Antanas Verikas

Expert Syst. Appl., 2016

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

Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Kestutis Vaskevicius, Virgilijus Uloza, Evaldas Padervinskis, Jolita Ciceliene

Proceedings of the Speech and Computer - 18th International Conference, 2016

Center for Applied Intelligent Systems Research (Position paper).

Thorsteinn S. Rögnvaldsson, Antanas Verikas, Josef Bigün, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Björn Åstrand, Jens Lundström, Stefan Byttner, Roland Thörner, Fernando Alonso-Fernandez, Martin Cooney, Rafael Valencia

Proceedings of the 29th Annual Workshop of the Swedish Artificial Intelligence Society, 2016

2015

Predicting Blood Lactate Concentration and Oxygen Uptake from sEMG Data during Fatiguing Cycling Exercise.

Petras Razanskas, Antanas Verikas, Charlotte Olsson, Per-Arne Viberg

Sensors, 2015

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

Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene

Mach. Vis. Appl., 2015

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

Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Jonas Minelga, Magnus Hållander, Evaldas Padervinskis, Virgilijus Uloza

Expert Syst. Appl., 2015

Automatic detection and morphological delineation of bacteriophages in electron microscopy images.

Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene, Sigitas Sulcius, E. Simoliunas, J. Staniulis, R. Paskauskas

Comput. Biol. Medicine, 2015

Time Domain Features of Multi-channel EMG Applied to Prediction of Physiological Parameters in Fatiguing Bicycling Exercises.

Petras Razanskas, Antanas Verikas, Charlotte Olsson, Per-Arne Viberg

Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015

2014

Fusion of voice signal information for detection of mild laryngeal pathology.

Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Zvi Kons, Aharon Satt, Ron Hoory

Appl. Soft Comput., 2014

Exploring sustained phonation recorded with acoustic and contact microphones to screen for laryngeal disorders.

Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene, Jonas Minelga, Magnus Hållander, Virgilijus Uloza, Evaldas Padervinskis

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2014

2013

Assessing print quality by machine in offset colour printing.

Jens Lundström, Antanas Verikas

Knowl. Based Syst., 2013

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

Zivile Kalsyte, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis

Expert Syst. Appl., 2013

A novel approach to exploring company's financial soundness: Investor's perspective.

Zivile Kalsyte, Antanas Verikas

Expert Syst. Appl., 2013

Learning Accurate Active Contours.

Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Evaldas Vaiciukynas

Proceedings of the Engineering Applications of Neural Networks, 2013

2012

Exploring similarity-based classification of larynx disorders from human voice.

Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza

Speech Commun., 2012

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

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Irina Olenina, Sergej Olenin, Evaldas Vaiciukynas

Pattern Recognit., 2012

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

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Irina Olenina, Sergej Olenin, Evaldas Vaiciukynas

Expert Syst. Appl., 2012

Questionnaire- versus voice-based screening for laryngeal disorders.

Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Evaldas Vaiciukynas, Virgilijus Uloza

Expert Syst. Appl., 2012

A novel approach to estimate proximity in a random forest: An exploratory study.

Cristofer Englund, Antanas Verikas

Expert Syst. Appl., 2012

Random forests based monitoring of human larynx using questionnaire data.

Marija Bacauskiene, Antanas Verikas, Adas Gelzinis, Aurelija Vegiene

Expert Syst. Appl., 2012

2011

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

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene

Pattern Recognit., 2011

A general framework for designing a fuzzy rule-based classifier.

Antanas Verikas, Jonas Guzaitis, Adas Gelzinis, Marija Bacauskiene

Knowl. Inf. Syst., 2011

A Serial-Parallel Panoramic Filter Bank as a Model of Frequency Decomposition of Complex Sounds in the Human Inner Ear.

Antanas Stasiunas, Antanas Verikas, Rimvydas Miliauskas, Marija Bacauskiene

Informatica, 2011

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

Antanas Verikas, Jens Lundström, Marija Bacauskiene, Adas Gelzinis

Expert Syst. Appl., 2011

Screening web breaks in a pressroom by soft computing.

Antanas Verikas, Adas Gelzinis, Magnus Hållander, Marija Bacauskiene, A. Alzghoul

Appl. Soft Comput., 2011

The mass appraisal of the real estate by computational intelligence.

Vilius Kontrimas, Antanas Verikas

Appl. Soft Comput., 2011

Monitoring human larynx by random forests using questionnaire data.

Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Virgilijus Uloza

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

An adaptive functional model of the filtering system in the cochlea of the inner ear.

Antanas Stasiunas, Antanas Verikas, Rimvydas Miliauskas, Marija Bacauskiene

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

2010

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

Antanas Verikas, Zivile Kalsyte, Marija Bacauskiene, Adas Gelzinis

Soft Comput., 2010

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

Antanas Verikas, Adas Gelzinis, Marina Kovalenko, Marija Bacauskiene

Expert Syst. Appl., 2010

Combining image, voice, and the patient's questionnaire data to categorize laryngeal disorders.

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Magnus Hållander, Virgilijus Uloza, Marius Kaseta

Artif. Intell. Medicine, 2010

Detecting halftone dots for offset print quality assessment using soft computing.

Jens Lundström, Antanas Verikas

Proceedings of the FUZZ-IEEE 2010, 2010

2009

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

Marija Bacauskiene, Antanas Verikas, Adas Gelzinis, D. Valincius

Pattern Recognit., 2009

Multi-resolution screening of paper formation variations on production line.

Marcus Ejnarsson, Antanas Verikas, Carl Magnus Nilsson

Expert Syst. Appl., 2009

Using the patient's questionnaire data to screen laryngeal disorders.

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza, Marius Kaseta

Comput. Biol. Medicine, 2009

An adaptive model simulating the somatic motility and the active hair bundle motion of the OHC.

Antanas Stasiunas, Antanas Verikas, Rimvydas Miliauskas, Natalija Stasiuniene

Comput. Biol. Medicine, 2009

Towards video laryngostroboscopy-based automated screening for laryngeal disorders.

Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Evaldas Vaiciukynas, Edgaras Kelertas, Virgilijus Uloza, Aurelija Vegiene

Proceedings of the Sixth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2009

Screening Paper Runnability in a Web-Offset Pressroom by Data Mining.

A. Alzghoul, Antanas Verikas, Magnus Hållander, Marija Bacauskiene, Adas Gelzinis

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009

A Framework for Designing a Fuzzy Rule-Based Classifier.

Jonas Guzaitis, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene

Proceedings of the Algorithmic Decision Theory, First International Conference, 2009

2008

An Efficient Technique to Detect Visual Defects in Particleboards.

Jonas Guzaitis, Antanas Verikas

Informatica, 2008

Predictor output sensitivity and feature similarity-based feature selection.

Antanas Verikas, Marija Bacauskiene, D. Valincius, Adas Gelzinis

Fuzzy Sets Syst., 2008

Estimating ink density from colour camera RGB values by the local kernel ridge regression.

Antanas Verikas, Marija Bacauskiene

Eng. Appl. Artif. Intell., 2008

Automated speech analysis applied to laryngeal disease categorization.

Adas Gelzinis, Antanas Verikas, Marija Bacauskiene

Comput. Methods Programs Biomed., 2008

Ink flow control by multiple models in an offset lithographic printing process.

Cristofer Englund, Antanas Verikas

Comput. Ind. Eng., 2008

2007

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

Adas Gelzinis, Antanas Verikas, Marija Bacauskiene

Pattern Recognit., 2007

Estimating the amount of cyan, magenta, yellow, and black inks in arbitrary colour pictures.

Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson

Neural Comput. Appl., 2007

A SOM-based data mining strategy for adaptive modelling of an offset lithographic printing process.

Cristofer Englund, Antanas Verikas

Eng. Appl. Artif. Intell., 2007

Multiple feature sets based categorization of laryngeal images.

Antanas Verikas, Adas Gelzinis, D. Valincius, Marija Bacauskiene, Virgilijus Uloza

Comput. Methods Programs Biomed., 2007

A kernel-based approach to categorizing laryngeal images.

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, D. Valincius, Virgilijus Uloza

Comput. Medical Imaging Graph., 2007

Evolving Committees of Support Vector Machines.

D. Valincius, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Multiple feature sets and genetic search based discrimination of pathological voices.

Marija Bacauskiene, Adas Gelzinis, Marius Kaseta, Marina Kovalenko, Ruta Pribuisiene, Virgilijus Uloza, Antanas Verikas

Proceedings of the Fifth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2007

Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press.

Cristofer Englund, Antanas Verikas

Proceedings of the Advances in Data Mining. Theoretical Aspects and Applications, 2007

Screening Paper Formation Variations on Production Line.

Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas

Proceedings of the New Trends in Applied Artificial Intelligence, 2007

Categorizing Laryngeal Images for Decision Support.

Adas Gelzinis, Antanas Verikas, Marija Bacauskiene

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2007

2006

Integrating Global and Local Analysis of Color, Texture and Geometrical Information for Categorizing Laryngeal Images.

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza

Int. J. Pattern Recognit. Artif. Intell., 2006

Towards a computer-aided diagnosis system for vocal cord diseases.

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza

Artif. Intell. Medicine, 2006

A Kernel Based Multi-resolution Time Series Analysis for Screening Deficiencies in Paper Production.

Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Selecting Variables for Neural Network Committees.

Marija Bacauskiene, Vladas Cibulskis, Antanas Verikas

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Soft Computing for Assessing the Quality of Colour Prints.

Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson

Proceedings of the Advances in Applied Artificial Intelligence, 2006

2005

Unsupervised colour image segmentation applied to printing quality assessment.

Lars Bergman, Antanas Verikas, Marija Bacauskiene

Image Vis. Comput., 2005

Detecting and measuring rings in banknote images.

Antanas Verikas, Kerstin Malmqvist, Lars Bergman

Eng. Appl. Artif. Intell., 2005

A hybrid approach to outlier detection in the offset lithographic printing process.

Cristofer Englund, Antanas Verikas

Eng. Appl. Artif. Intell., 2005

A multi-channel adaptive nonlinear filtering structure realizing some properties of the hearing system.

Antanas Stasiunas, Antanas Verikas, Povilas Kemesis, Marija Bacauskiene, Rimvydas Miliauskas, Natalija Stasiuniene, Kerstin Malmqvist

Comput. Biol. Medicine, 2005

Image analysis and fuzzy integration applied to print quality assessment.

Antanas Verikas, Marija Bacauskiene

Cybern. Syst., 2005

A SOM Based Model Combination Strategy.

Cristofer Englund, Antanas Verikas

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases.

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza

Proceedings of the Innovations in Applied Artificial Intelligence, 2005

2004

Selecting salient features for classification based on neural network committees.

Marija Bacauskiene, Antanas Verikas

Pattern Recognit. Lett., 2004

Intelligent deflection yoke magnetic field tuning.

Antanas Verikas, Marija Bacauskiene, Alvydas Dosinas, Vacys Bartkevicius, Adas Gelzinis, Mindaugas Vaitkunas, Arunas Lipnickas

J. Intell. Manuf., 2004

The Evidence Theory Based Post-Processing of Colour Images.

Marija Bacauskiene, Antanas Verikas

Informatica, 2004

Intelligent monitoring of the offset printing process.

Lars Bergman, Antanas Verikas

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

Leverages Based Neural Networks Fusion.

Antanas Verikas, Marija Bacauskiene, Adas Gelzinis

Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003

Learning an Adaptive Dissimilarity Measure for Nearest Neighbour Classification.

Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist

Neural Comput. Appl., 2003

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

Antanas Verikas, Marija Bacauskiene, Alvydas Dosinas, Vacys Bartkevicius, Adas Gelzinis, Mindaugas Vaitkunas, Arunas Lipnickas

Knowl. Based Syst., 2003

Neural Modelling and Control of the Offset Printing Process.

Antanas Verikas, Lars Bergman, Kerstin Malmqvist, Marija Bacauskiene

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003

Selecting Salient Features for Classification Committees.

Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

Feature selection with neural networks.

Antanas Verikas, Marija Bacauskiene

Pattern Recognit. Lett., 2002

Fusing Neural Networks Through Space Partitioning and Fuzzy Integration.

Antanas Verikas, Arunas Lipnickas

Neural Process. Lett., 2002

Selecting Neural Networks for a Committee Decision.

Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist

Int. J. Neural Syst., 2002

Selecting Neural Networks for Making a Committee Decision.

Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist

Proceedings of the Artificial Neural Networks, 2002

2001

Using Unlabelled Data to Train a Multilayer Perceptron.

Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist

Neural Process. Lett., 2001

Combining neural networks, fuzzy sets, and the evidence theory based techniques for detecting colour specks.

Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene

J. Intell. Fuzzy Syst., 2001

Using Unlabelled Data to Train a Multilayer Perceptron.

Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist, Marija Bacauskiene

Proceedings of the Advances in Pattern Recognition, 2001

2000

Monitoring the De-Inking Process through Neural Network-Based Colour Image Analysis.

Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman

Neural Comput. Appl., 2000

Neural Networks Based Colour Measuring for Process Monitoring and Control in Multicoloured Newspaper Printing.

Antanas Verikas, Kerstin Malmqvist, Lars Bergman

Neural Comput. Appl., 2000

Training neural networks by stochastic optimisation.

Antanas Verikas, Adas Gelzinis

Neurocomputing, 2000

Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images.

Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Soft combination of neural classifiers: A comparative study.

Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist, Marija Bacauskiene, Adas Gelzinis

Pattern Recognit. Lett., 1999

Quality Function for Unsupervised Classification and its Use in Graphic Arts.

Adas Gelzinis, Antanas Verikas, Kerstin Malmqvist

J. Adv. Comput. Intell. Intell. Informatics, 1999

Possibilistic Neural Network Training for Detecting Color Specks.

Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman

Proceedings of the Signal and Image Processing (SIP), 1999

Using Labelled and Unlabelled Data to Train a Multilayer Perceptron for Colour Classification in Graphic Arts.

Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist

Proceedings of the Multiple Approaches to Intelligent Systems, 1999

1998

Colour Classification by Neural Networks in Graphic Arts.

Antanas Verikas, Kerstin Malmqvist, Lars Bergman, Mikael Signahl

Neural Comput. Appl., 1998

Soft Fusion of Neural Classifiers.

Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Arunas Lipnickas

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

Colour image segmentation by modular neural network.

Antanas Verikas, Kerstin Malmqvist, Lars Bergman

Pattern Recognit. Lett., 1997

A Random Search Technique for Training Neural Networks.

Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1995

Increasing colour image segmentation accuracy by means of fuzzy post-processing.

Antanas Verikas, Kerstin Malmqvist

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1992

Adaptive character recognition system.

Antanas Verikas, Marija Bacauskiene, S. J. Vilunas, D. R. Skaisgiris

Pattern Recognit. Lett., 1992

1985

Optical character recognition based on analog preprocessing and automatic feature extraction.

A. Lashas, R. Shurna, Antanas Verikas, Alvydas Dosinas

Comput. Vis. Graph. Image Process., 1985