Antanas Verikas

ORCID

Publication Activity (10 Years)

Years Active: 1985-2022
Publications (10 Years): 18

Top Venues

Expert Syst. Appl.

Sensors

CoRR

Biomed. Signal Process. Control.

Publications

M. L. Menezes, Anas Samara, Leo Galway, A. Sant'anna, Antanas Verikas, Fernando Alonso-Fernandez, H. Wang, Raymond R. Bond
Towards emotion recognition for virtual environments: an evaluation of EEG features on benchmark dataset. CoRR (2022)
Kazimieras Buskus, Evaldas Vaiciukynas, Antanas Verikas, Saule Medelyte, Andrius Siaulys, Aleksej Saskov
Automated Quantification of Brittle Stars in Seabed Imagery Using Computer Vision Techniques. Sensors 21 (22) (2021)
Taha Khan, Lina E. Lundgren, David G. Anderson, Irena Nowak, Mark Dougherty, Antanas Verikas, Misha Pavel, Holly B. Jimison, Slawomir Nowaczyk, Vered Aharonson
Assessing Parkinson's disease severity using speech analysis in non-native speakers. Comput. Speech Lang. 61 (2020)
Tadas Rimavicius, Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene, Aleksej Saskov
Automatic benthic imagery recognition using a hierarchical two-stage approach. Signal Image Video Process. 12 (6) (2018)
Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, K. C. Santosh, Antanas Verikas
Agreeing to disagree: active learning with noisy labels without crowdsourcing. Int. J. Mach. Learn. Cybern. 9 (8) (2018)
Antanas Verikas, James Parker, Marija Bacauskiene, Charlotte Olsson
Exploring relations between EMG and biomechanical data recorded during a golf swing. Expert Syst. Appl. 88 (2017)
Evaldas Vaiciukynas, Adas Gelzinis, Antanas Verikas, Marija Bacauskiene
Parkinson's Disease Detection from Speech Using Convolutional Neural Networks. GOODTECHS (2017)
Maria Luiza Recena Menezes, Anas Samara, Leo Galway, Anita Pinheiro Sant'Anna, Antanas Verikas, Fernando Alonso-Fernandez, Hui Wang, Raymond R. Bond
Towards emotion recognition for virtual environments: an evaluation of eeg features on benchmark dataset. Pers. Ubiquitous Comput. 21 (6) (2017)
Petras Razanskas, Antanas Verikas, Per-Arne Viberg, Charlotte Olsson
Predicting physiological parameters in fatiguing bicycling exercises using muscle activation timing. Biomed. Signal Process. Control. 35 (2017)
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
Center for Applied Intelligent Systems Research (Position paper). SAIS (2016)
Antanas Verikas, Evaldas Vaiciukynas, Adas Gelzinis, James Parker, Charlotte Olsson
Electromyographic Patterns during Golf Swing: Activation Sequence Profiling and Prediction of Shot Effectiveness. Sensors 16 (4) (2016)
Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Kestutis Vaskevicius, Virgilijus Uloza, Evaldas Padervinskis, Jolita Ciceliene
Fusing Various Audio Feature Sets for Detection of Parkinson's Disease from Sustained Voice and Speech Recordings. SPECOM (2016)
Jens Lundström, Eric Järpe, Antanas Verikas
Detecting and exploring deviating behaviour of smart home residents. Expert Syst. Appl. 55 (2016)
Petras Razanskas, Antanas Verikas, Charlotte Olsson, Per-Arne Viberg
Time Domain Features of Multi-channel EMG Applied to Prediction of Physiological Parameters in Fatiguing Bicycling Exercises. SCAI (2015)
Petras Razanskas, Antanas Verikas, Charlotte Olsson, Per-Arne Viberg
Predicting Blood Lactate Concentration and Oxygen Uptake from sEMG Data during Fatiguing Cycling Exercise. Sensors 15 (8) (2015)
Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene
A novel technique to extract accurate cell contours applied for segmentation of phytoplankton images. Mach. Vis. Appl. 26 (2-3) (2015)
Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Jonas Minelga, Magnus Hållander, Evaldas Padervinskis, Virgilijus Uloza
Fusing voice and query data for non-invasive detection of laryngeal disorders. Expert Syst. Appl. 42 (22) (2015)
Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene, Sigitas Sulcius, E. Simoliunas, J. Staniulis, R. Paskauskas
Automatic detection and morphological delineation of bacteriophages in electron microscopy images. Comput. Biol. Medicine 64 (2015)
Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Zvi Kons, Aharon Satt, Ron Hoory
Fusion of voice signal information for detection of mild laryngeal pathology. Appl. Soft Comput. 18 (2014)
Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene, Jonas Minelga, Magnus Hållander, Virgilijus Uloza, Evaldas Padervinskis
Exploring sustained phonation recorded with acoustic and contact microphones to screen for laryngeal disorders. CICARE (2014)
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) (2013)
Zivile Kalsyte, Antanas Verikas
A novel approach to exploring company's financial soundness: Investor's perspective. Expert Syst. Appl. 40 (13) (2013)
Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Evaldas Vaiciukynas
Learning Accurate Active Contours. EANN (1) (2013)
Jens Lundström, Antanas Verikas
Assessing print quality by machine in offset colour printing. Knowl. Based Syst. 37 (2013)
Marija Bacauskiene, Antanas Verikas, Adas Gelzinis, Aurelija Vegiene
Random forests based monitoring of human larynx using questionnaire data. Expert Syst. Appl. 39 (5) (2012)
Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza
Exploring similarity-based classification of larynx disorders from human voice. Speech Commun. 54 (5) (2012)
Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Evaldas Vaiciukynas, Virgilijus Uloza
Questionnaire- versus voice-based screening for laryngeal disorders. Expert Syst. Appl. 39 (6) (2012)
Cristofer Englund, Antanas Verikas
A novel approach to estimate proximity in a random forest: An exploratory study. Expert Syst. Appl. 39 (17) (2012)
Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Irina Olenina, Sergej Olenin, Evaldas Vaiciukynas
Automated image analysis- and soft computing-based detection of the invasive dinoflagellate Prorocentrum minimum (Pavillard) Schiller. Expert Syst. Appl. 39 (5) (2012)
Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Irina Olenina, Sergej Olenin, Evaldas Vaiciukynas
Phase congruency-based detection of circular objects applied to analysis of phytoplankton images. Pattern Recognit. 45 (4) (2012)
Antanas Verikas, Adas Gelzinis, Marija Bacauskiene
Mining data with random forests: A survey and results of new tests. Pattern Recognit. 44 (2) (2011)
Antanas Stasiunas, Antanas Verikas, Rimvydas Miliauskas, Marija Bacauskiene
An adaptive functional model of the filtering system in the cochlea of the inner ear. ISABEL (2011)
Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Virgilijus Uloza
Monitoring human larynx by random forests using questionnaire data. ISDA (2011)
Antanas Stasiunas, Antanas Verikas, Rimvydas Miliauskas, Marija Bacauskiene
A Serial-Parallel Panoramic Filter Bank as a Model of Frequency Decomposition of Complex Sounds in the Human Inner Ear. Informatica 22 (2) (2011)
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) (2011)
Antanas Verikas, Adas Gelzinis, Magnus Hållander, Marija Bacauskiene, A. Alzghoul
Screening web breaks in a pressroom by soft computing. Appl. Soft Comput. 11 (3) (2011)
Antanas Verikas, Jonas Guzaitis, Adas Gelzinis, Marija Bacauskiene
A general framework for designing a fuzzy rule-based classifier. Knowl. Inf. Syst. 29 (1) (2011)
Vilius Kontrimas, Antanas Verikas
The mass appraisal of the real estate by computational intelligence. Appl. Soft Comput. 11 (1) (2011)
Antanas Verikas, Zivile Kalsyte, Marija Bacauskiene, Adas Gelzinis
Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey. Soft Comput. 14 (9) (2010)
Jens Lundström, Antanas Verikas
Detecting halftone dots for offset print quality assessment using soft computing. FUZZ-IEEE (2010)
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) (2010)
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) (2010)
A. Alzghoul, Antanas Verikas, Magnus Hållander, Marija Bacauskiene, Adas Gelzinis
Screening Paper Runnability in a Web-Offset Pressroom by Data Mining. ICDM (2009)
Marija Bacauskiene, Antanas Verikas, Adas Gelzinis, D. Valincius
A feature selection technique for generation of classification committees and its application to categorization of laryngeal images. Pattern Recognit. 42 (5) (2009)
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) (2009)
Antanas Stasiunas, Antanas Verikas, Rimvydas Miliauskas, Natalija Stasiuniene
An adaptive model simulating the somatic motility and the active hair bundle motion of the OHC. Comput. Biol. Medicine 39 (9) (2009)
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)
Marcus Ejnarsson, Antanas Verikas, Carl Magnus Nilsson
Multi-resolution screening of paper formation variations on production line. Expert Syst. Appl. 36 (2) (2009)
Jonas Guzaitis, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene
A Framework for Designing a Fuzzy Rule-Based Classifier. ADT (2009)
Antanas Verikas, Marija Bacauskiene
Estimating ink density from colour camera RGB values by the local kernel ridge regression. Eng. Appl. Artif. Intell. 21 (1) (2008)
Antanas Verikas, Marija Bacauskiene, D. Valincius, Adas Gelzinis
Predictor output sensitivity and feature similarity-based feature selection. Fuzzy Sets Syst. 159 (4) (2008)
Adas Gelzinis, Antanas Verikas, Marija Bacauskiene
Automated speech analysis applied to laryngeal disease categorization. Comput. Methods Programs Biomed. 91 (1) (2008)
Jonas Guzaitis, Antanas Verikas
An Efficient Technique to Detect Visual Defects in Particleboards. Informatica 19 (3) (2008)
Cristofer Englund, Antanas Verikas
Ink flow control by multiple models in an offset lithographic printing process. Comput. Ind. Eng. 55 (3) (2008)
Antanas Verikas, Adas Gelzinis, D. Valincius, Marija Bacauskiene, Virgilijus Uloza
Multiple feature sets based categorization of laryngeal images. Comput. Methods Programs Biomed. 85 (3) (2007)
Adas Gelzinis, Antanas Verikas, Marija Bacauskiene
Increasing the discrimination power of the co-occurrence matrix-based features. Pattern Recognit. 40 (9) (2007)
Cristofer Englund, Antanas Verikas
A SOM-based data mining strategy for adaptive modelling of an offset lithographic printing process. Eng. Appl. Artif. Intell. 20 (3) (2007)
Cristofer Englund, Antanas Verikas
Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press. ICDM (2007)
Adas Gelzinis, Antanas Verikas, Marija Bacauskiene
Categorizing Laryngeal Images for Decision Support. ACIVS (2007)
Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas
Screening Paper Formation Variations on Production Line. IEA/AIE (2007)
D. Valincius, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis
Evolving Committees of Support Vector Machines. MLDM (2007)
Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, D. Valincius, Virgilijus Uloza
A kernel-based approach to categorizing laryngeal images. Comput. Medical Imaging Graph. 31 (8) (2007)
Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson
Estimating the amount of cyan, magenta, yellow, and black inks in arbitrary colour pictures. Neural Comput. Appl. 16 (2) (2007)
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)
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) (2006)
Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza
Towards a computer-aided diagnosis system for vocal cord diseases. Artif. Intell. Medicine 36 (1) (2006)
Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson
Soft Computing for Assessing the Quality of Colour Prints. IEA/AIE (2006)
Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas
A Kernel Based Multi-resolution Time Series Analysis for Screening Deficiencies in Paper Production. ISNN (2) (2006)
Marija Bacauskiene, Vladas Cibulskis, Antanas Verikas
Selecting Variables for Neural Network Committees. ISNN (1) (2006)
Antanas Verikas, Marija Bacauskiene
Image analysis and fuzzy integration applied to print quality assessment. Cybern. Syst. 36 (6) (2005)
Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza
Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases. IEA/AIE (2005)
Antanas Verikas, Kerstin Malmqvist, Lars Bergman
Detecting and measuring rings in banknote images. Eng. Appl. Artif. Intell. 18 (3) (2005)
Antanas Stasiunas, Antanas Verikas, Povilas Kemesis, Marija Bacauskiene, Rimvydas Miliauskas, Natalija Stasiuniene, Kerstin Malmqvist
A multi-channel adaptive nonlinear filtering structure realizing some properties of the hearing system. Comput. Biol. Medicine 35 (6) (2005)
Cristofer Englund, Antanas Verikas
A SOM Based Model Combination Strategy. ISNN (1) (2005)
Lars Bergman, Antanas Verikas, Marija Bacauskiene
Unsupervised colour image segmentation applied to printing quality assessment. Image Vis. Comput. 23 (4) (2005)
Cristofer Englund, Antanas Verikas
A hybrid approach to outlier detection in the offset lithographic printing process. Eng. Appl. Artif. Intell. 18 (6) (2005)
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) (2004)
Marija Bacauskiene, Antanas Verikas
The Evidence Theory Based Post-Processing of Colour Images. Informatica 15 (3) (2004)
Marija Bacauskiene, Antanas Verikas
Selecting salient features for classification based on neural network committees. Pattern Recognit. Lett. 25 (16) (2004)
Lars Bergman, Antanas Verikas
Intelligent monitoring of the offset printing process. Neural Networks and Computational Intelligence (2004)
Antanas Verikas, Marija Bacauskiene, Adas Gelzinis
Leverages Based Neural Networks Fusion. ICONIP (2004)
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) (2003)
Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist
Learning an Adaptive Dissimilarity Measure for Nearest Neighbour Classification. Neural Comput. Appl. 11 (3-4) (2003)
Antanas Verikas, Lars Bergman, Kerstin Malmqvist, Marija Bacauskiene
Neural Modelling and Control of the Offset Printing Process. Neural Networks and Computational Intelligence (2003)
Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist
Selecting Salient Features for Classification Committees. ICANN (2003)
Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist
Selecting Neural Networks for Making a Committee Decision. ICANN (2002)
Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist
Selecting Neural Networks for a Committee Decision. Int. J. Neural Syst. 12 (5) (2002)
Antanas Verikas, Marija Bacauskiene
Feature selection with neural networks. Pattern Recognit. Lett. 23 (11) (2002)
Antanas Verikas, Arunas Lipnickas
Fusing Neural Networks Through Space Partitioning and Fuzzy Integration. Neural Process. Lett. 16 (1) (2002)
Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist, Marija Bacauskiene
Using Unlabelled Data to Train a Multilayer Perceptron. ICAPR (2001)
Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene
Combining neural networks, fuzzy sets, and the evidence theory based techniques for detecting colour specks. J. Intell. Fuzzy Syst. 10 (2) (2001)
Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist
Using Unlabelled Data to Train a Multilayer Perceptron. Neural Process. Lett. 14 (3) (2001)
Antanas Verikas, Kerstin Malmqvist, Lars Bergman
Neural Networks Based Colour Measuring for Process Monitoring and Control in Multicoloured Newspaper Printing. Neural Comput. Appl. 9 (3) (2000)
Antanas Verikas, Adas Gelzinis
Training neural networks by stochastic optimisation. Neurocomputing 30 (1-4) (2000)
Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman
Monitoring the De-Inking Process through Neural Network-Based Colour Image Analysis. Neural Comput. Appl. 9 (2) (2000)
Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene
Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images. IJCNN (2) (2000)
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) (1999)
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)
Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman
Possibilistic Neural Network Training for Detecting Color Specks. SIP (1999)
Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist, Marija Bacauskiene, Adas Gelzinis
Soft combination of neural classifiers: A comparative study. Pattern Recognit. Lett. 20 (4) (1999)

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Publication Activity (10 Years)

Top Topics

Top Venues

Antanas Verikas