Antanas Verikas

113 papers A* 2B 4C 13Journal 73Unranked 21

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Towards emotion recognition for virtual environments: an evaluation of EEG features on benchmark dataset. CoRR M. L. Menezes, Anas Samara, Leo Galway, A. Sant'anna, Antanas Verikas, Fernando Alonso-Fernandez, H. Wang, Raymond R. Bond
2021	J	`jnl`	Automated Quantification of Brittle Stars in Seabed Imagery Using Computer Vision Techniques. Sensors Kazimieras Buskus, Evaldas Vaiciukynas, Antanas Verikas, Saule Medelyte, Andrius Siaulys, Aleksej Saskov
2020	J	`jnl`	Assessing Parkinson's disease severity using speech analysis in non-native speakers. Comput. Speech Lang. Taha Khan, Lina E. Lundgren, David G. Anderson, Irena Nowak, Mark Dougherty, Antanas Verikas, Misha Pavel, Holly B. Jimison, Slawomir Nowaczyk, Vered Aharonson
2018	J	`jnl`	Agreeing to disagree: active learning with noisy labels without crowdsourcing. Int. J. Mach. Learn. Cybern. Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, KC Santosh, Antanas Verikas
2018	J	`jnl`	Automatic benthic imagery recognition using a hierarchical two-stage approach. Signal Image Video Process. Tadas Rimavicius, Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene, Aleksej Saskov
2018	C	`ed.`	Eleventh International Conference on Machine Vision, ICMV 2018, Munich, Germany, 1-3 November 2018 ICMV Antanas Verikas, Dmitry P. Nikolaev, Petia Radeva, Jianhong Zhou
2017	J	`jnl`	Exploring relations between EMG and biomechanical data recorded during a golf swing. Expert Syst. Appl. Antanas Verikas, James Parker, Marija Bacauskiene, Charlotte Olsson
2017	—	`conf`	Parkinson's Disease Detection from Speech Using Convolutional Neural Networks. GOODTECHS Evaldas Vaiciukynas, Adas Gelzinis, Antanas Verikas, Marija Bacauskiene
2017	J	`jnl`	Predicting physiological parameters in fatiguing bicycling exercises using muscle activation timing. Biomed. Signal Process. Control. Petras Razanskas, Antanas Verikas, Per-Arne Viberg, Charlotte Olsson
2017	C	`ed.`	Tenth International Conference on Machine Vision, ICMV 2017, Vienna, Austria, 13-15 November 2017 ICMV Antanas Verikas, Petia Radeva, Dmitry P. Nikolaev, Jianhong Zhou
2017	J	`jnl`	Towards emotion recognition for virtual environments: an evaluation of eeg features on benchmark dataset. Pers. Ubiquitous Comput. Maria Luiza Recena Menezes, Anas Samara, Leo Galway, Anita Pinheiro Sant'Anna, Antanas Verikas, Fernando Alonso-Fernandez, Hui Wang, Raymond R. Bond
2016	—	`conf`	Center for Applied Intelligent Systems Research (Position paper). SAIS 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
2016	J	`jnl`	Detecting and exploring deviating behaviour of smart home residents. Expert Syst. Appl. Jens Lundström, Eric Järpe, Antanas Verikas
2016	J	`jnl`	Electromyographic Patterns during Golf Swing: Activation Sequence Profiling and Prediction of Shot Effectiveness. Sensors Antanas Verikas, Evaldas Vaiciukynas, Adas Gelzinis, James Parker, Charlotte Olsson
2016	—	`conf`	Fusing Various Audio Feature Sets for Detection of Parkinson's Disease from Sustained Voice and Speech Recordings. SPECOM Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Kestutis Vaskevicius, Virgilijus Uloza, Evaldas Padervinskis, Jolita Ciceliene
2016	C	`ed.`	Ninth International Conference on Machine Vision, ICMV 2016, Nice, France, 18-20 November 2016 ICMV Antanas Verikas, Petia Radeva, Dmitry P. Nikolaev, Wei Zhang, Jianhong Zhou
2015	J	`jnl`	A novel technique to extract accurate cell contours applied for segmentation of phytoplankton images. Mach. Vis. Appl. Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene
2015	J	`jnl`	Automatic detection and morphological delineation of bacteriophages in electron microscopy images. Comput. Biol. Medicine Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene, Sigitas Sulcius, E. Simoliunas, J. Staniulis, Ricardas Paskauskas
2015	C	`ed.`	Eighth International Conference on Machine Vision, ICMV 2015, Barcelona, Spain, 19-20 November 2015 ICMV Antanas Verikas, Petia Radeva, Dmitry P. Nikolaev
2015	J	`jnl`	Fusing voice and query data for non-invasive detection of laryngeal disorders. Expert Syst. Appl. Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Jonas Minelga, Magnus Hållander, Evaldas Padervinskis, Virgilijus Uloza
2015	J	`jnl`	Predicting Blood Lactate Concentration and Oxygen Uptake from sEMG Data during Fatiguing Cycling Exercise. Sensors Petras Razanskas, Antanas Verikas, Charlotte Olsson, Per-Arne Viberg
2015	—	`conf`	Time Domain Features of Multi-channel EMG Applied to Prediction of Physiological Parameters in Fatiguing Bicycling Exercises. SCAI Petras Razanskas, Antanas Verikas, Charlotte Olsson, Per-Arne Viberg
2014	—	`conf`	Exploring sustained phonation recorded with acoustic and contact microphones to screen for laryngeal disorders. CICARE Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene, Jonas Minelga, Magnus Hållander, Virgilijus Uloza, Evaldas Padervinskis
2014	J	`jnl`	Fusion of voice signal information for detection of mild laryngeal pathology. Appl. Soft Comput. Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Zvi Kons, Aharon Satt, Ron Hoory
2014	C	`ed.`	Seventh International Conference on Machine Vision, ICMV 2014, Milan, Italy, 19-21 November 2014 ICMV Antanas Verikas, Branislav Vuksanovic, Petia Radeva, Jianhong Zhou
2013	J	`jnl`	A novel approach to designing an adaptive committee applied to predicting company's future performance. Expert Syst. Appl. Zivile Kalsyte, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis
2013	J	`jnl`	A novel approach to exploring company's financial soundness: Investor's perspective. Expert Syst. Appl. Zivile Kalsyte, Antanas Verikas
2013	J	`jnl`	Assessing print quality by machine in offset colour printing. Knowl. Based Syst. Jens Lundström, Antanas Verikas
2013	—	`conf`	Learning Accurate Active Contours. EANN (1) Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Evaldas Vaiciukynas
2013	C	`ed.`	Sixth International Conference on Machine Vision, ICMV 2013, London, United Kingdom, April 16-17, 2013 ICMV Branislav Vuksanovic, Jianhong Zhou, Antanas Verikas
2012	J	`jnl`	A novel approach to estimate proximity in a random forest: An exploratory study. Expert Syst. Appl. Cristofer Englund, Antanas Verikas
2012	J	`jnl`	Automated image analysis- and soft computing-based detection of the invasive dinoflagellate Prorocentrum minimum (Pavillard) Schiller. Expert Syst. Appl. Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Irina Olenina, Sergej Olenin, Evaldas Vaiciukynas
2012	J	`jnl`	Exploring similarity-based classification of larynx disorders from human voice. Speech Commun. Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza
2012	J	`jnl`	Phase congruency-based detection of circular objects applied to analysis of phytoplankton images. Pattern Recognit. Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Irina Olenina, Sergej Olenin, Evaldas Vaiciukynas
2012	J	`jnl`	Questionnaire- versus voice-based screening for laryngeal disorders. Expert Syst. Appl. Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Evaldas Vaiciukynas, Virgilijus Uloza
2012	J	`jnl`	Random forests based monitoring of human larynx using questionnaire data. Expert Syst. Appl. Marija Bacauskiene, Antanas Verikas, Adas Gelzinis, Aurelija Vegiene
2011	J	`jnl`	A Serial-Parallel Panoramic Filter Bank as a Model of Frequency Decomposition of Complex Sounds in the Human Inner Ear. Informatica Antanas Stasiunas, Antanas Verikas, Rimvydas Miliauskas, Marija Bacauskiene
2011	J	`jnl`	A general framework for designing a fuzzy rule-based classifier. Knowl. Inf. Syst. Antanas Verikas, Jonas Guzaitis, Adas Gelzinis, Marija Bacauskiene
2011	J	`jnl`	Advances in computational intelligence-based print quality assessment and control in offset colour printing. Expert Syst. Appl. Antanas Verikas, Jens Lundström, Marija Bacauskiene, Adas Gelzinis
2011	—	`conf`	An adaptive functional model of the filtering system in the cochlea of the inner ear. ISABEL Antanas Stasiunas, Antanas Verikas, Rimvydas Miliauskas, Marija Bacauskiene
2011	J	`jnl`	Mining data with random forests: A survey and results of new tests. Pattern Recognit. Antanas Verikas, Adas Gelzinis, Marija Bacauskiene
2011	C	`conf`	Monitoring human larynx by random forests using questionnaire data. ISDA Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Virgilijus Uloza
2011	J	`jnl`	Screening web breaks in a pressroom by soft computing. Appl. Soft Comput. Antanas Verikas, Adas Gelzinis, Magnus Hållander, Marija Bacauskiene, A. Alzghoul
2011	J	`jnl`	The mass appraisal of the real estate by computational intelligence. Appl. Soft Comput. Vilius Kontrimas, Antanas Verikas
2010	J	`jnl`	Combining image, voice, and the patient's questionnaire data to categorize laryngeal disorders. Artif. Intell. Medicine Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Magnus Hållander, Virgilijus Uloza, Marius Kaseta
2010	B	`conf`	Detecting halftone dots for offset print quality assessment using soft computing. FUZZ-IEEE Jens Lundström, Antanas Verikas
2010	J	`jnl`	Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey. Soft Comput. Antanas Verikas, Zivile Kalsyte, Marija Bacauskiene, Adas Gelzinis
2010	J	`jnl`	Selecting features from multiple feature sets for SVM committee-based screening of human larynx. Expert Syst. Appl. Antanas Verikas, Adas Gelzinis, Marina Kovalenko, Marija Bacauskiene
2009	—	`conf`	A Framework for Designing a Fuzzy Rule-Based Classifier. ADT Jonas Guzaitis, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene
2009	J	`jnl`	A feature selection technique for generation of classification committees and its application to categorization of laryngeal images. Pattern Recognit. Marija Bacauskiene, Antanas Verikas, Adas Gelzinis, D. Valincius
2009	J	`jnl`	An adaptive model simulating the somatic motility and the active hair bundle motion of the OHC. Comput. Biol. Medicine Antanas Stasiunas, Antanas Verikas, Rimvydas Miliauskas, Natalija Stasiuniene
2009	J	`jnl`	Multi-resolution screening of paper formation variations on production line. Expert Syst. Appl. Marcus Ejnarsson, Antanas Verikas, Carl Magnus Nilsson
2009	A*	`conf`	Screening Paper Runnability in a Web-Offset Pressroom by Data Mining. ICDM A. Alzghoul, Antanas Verikas, Magnus Hållander, Marija Bacauskiene, Adas Gelzinis
2009	—	`conf`	Towards video laryngostroboscopy-based automated screening for laryngeal disorders. MAVEBA Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Evaldas Vaiciukynas, Edgaras Kelertas, Virgilijus Uloza, Aurelija Vegiene
2009	J	`jnl`	Using the patient's questionnaire data to screen laryngeal disorders. Comput. Biol. Medicine Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza, Marius Kaseta
2008	J	`jnl`	An Efficient Technique to Detect Visual Defects in Particleboards. Informatica Jonas Guzaitis, Antanas Verikas
2008	J	`jnl`	Automated speech analysis applied to laryngeal disease categorization. Comput. Methods Programs Biomed. Adas Gelzinis, Antanas Verikas, Marija Bacauskiene
2008	J	`jnl`	Estimating ink density from colour camera RGB values by the local kernel ridge regression. Eng. Appl. Artif. Intell. Antanas Verikas, Marija Bacauskiene
2008	J	`jnl`	Ink flow control by multiple models in an offset lithographic printing process. Comput. Ind. Eng. Cristofer Englund, Antanas Verikas
2008	J	`jnl`	Predictor output sensitivity and feature similarity-based feature selection. Fuzzy Sets Syst. Antanas Verikas, Marija Bacauskiene, D. Valincius, Adas Gelzinis
2007	J	`jnl`	A SOM-based data mining strategy for adaptive modelling of an offset lithographic printing process. Eng. Appl. Artif. Intell. Cristofer Englund, Antanas Verikas
2007	J	`jnl`	A kernel-based approach to categorizing laryngeal images. Comput. Medical Imaging Graph. Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, D. Valincius, Virgilijus Uloza
2007	B	`conf`	Categorizing Laryngeal Images for Decision Support. ACIVS Adas Gelzinis, Antanas Verikas, Marija Bacauskiene
2007	A*	`conf`	Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press. ICDM Cristofer Englund, Antanas Verikas
2007	J	`jnl`	Estimating the amount of cyan, magenta, yellow, and black inks in arbitrary colour pictures. Neural Comput. Appl. Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson
2007	—	`conf`	Evolving Committees of Support Vector Machines. MLDM D. Valincius, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis
2007	J	`jnl`	Increasing the discrimination power of the co-occurrence matrix-based features. Pattern Recognit. Adas Gelzinis, Antanas Verikas, Marija Bacauskiene
2007	—	`conf`	Multiple feature sets and genetic search based discrimination of pathological voices. MAVEBA Marija Bacauskiene, Adas Gelzinis, Marius Kaseta, Marina Kovalenko, Ruta Pribuisiene, Virgilijus Uloza, Antanas Verikas
2007	J	`jnl`	Multiple feature sets based categorization of laryngeal images. Comput. Methods Programs Biomed. Antanas Verikas, Adas Gelzinis, D. Valincius, Marija Bacauskiene, Virgilijus Uloza
2007	C	`conf`	Screening Paper Formation Variations on Production Line. IEA/AIE Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas
2006	—	`conf`	A Kernel Based Multi-resolution Time Series Analysis for Screening Deficiencies in Paper Production. ISNN (2) Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas
2006	J	`jnl`	Integrating Global and Local Analysis of Color, Texture and Geometrical Information for Categorizing Laryngeal Images. Int. J. Pattern Recognit. Artif. Intell. Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza
2006	—	`conf`	Selecting Variables for Neural Network Committees. ISNN (1) Marija Bacauskiene, Vladas Cibulskis, Antanas Verikas
2006	C	`conf`	Soft Computing for Assessing the Quality of Colour Prints. IEA/AIE Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson
2006	J	`jnl`	Towards a computer-aided diagnosis system for vocal cord diseases. Artif. Intell. Medicine Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza
2005	—	`conf`	A SOM Based Model Combination Strategy. ISNN (1) Cristofer Englund, Antanas Verikas
2005	J	`jnl`	A hybrid approach to outlier detection in the offset lithographic printing process. Eng. Appl. Artif. Intell. Cristofer Englund, Antanas Verikas
2005	J	`jnl`	A multi-channel adaptive nonlinear filtering structure realizing some properties of the hearing system. Comput. Biol. Medicine Antanas Stasiunas, Antanas Verikas, Povilas Kemesis, Marija Bacauskiene, Rimvydas Miliauskas, Natalija Stasiuniene, Kerstin Malmqvist
2005	J	`jnl`	Detecting and measuring rings in banknote images. Eng. Appl. Artif. Intell. Antanas Verikas, Kerstin Malmqvist, Lars Bergman
2005	J	`jnl`	Image analysis and fuzzy integration applied to print quality assessment. Cybern. Syst. Antanas Verikas, Marija Bacauskiene
2005	C	`conf`	Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases. IEA/AIE Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza
2005	J	`jnl`	Unsupervised colour image segmentation applied to printing quality assessment. Image Vis. Comput. Lars Bergman, Antanas Verikas, Marija Bacauskiene
2004	J	`jnl`	Intelligent deflection yoke magnetic field tuning. J. Intell. Manuf. Antanas Verikas, Marija Bacauskiene, Alvydas Dosinas, Vacys Bartkevicius, Adas Gelzinis, Mindaugas Vaitkunas, Arunas Lipnickas
2004	—	`conf`	Intelligent monitoring of the offset printing process. Neural Networks and Computational Intelligence Lars Bergman, Antanas Verikas
2004	B	`conf`	Leverages Based Neural Networks Fusion. ICONIP Antanas Verikas, Marija Bacauskiene, Adas Gelzinis
2004	J	`jnl`	Selecting salient features for classification based on neural network committees. Pattern Recognit. Lett. Marija Bacauskiene, Antanas Verikas
2004	J	`jnl`	The Evidence Theory Based Post-Processing of Colour Images. Informatica Marija Bacauskiene, Antanas Verikas
2003	J	`jnl`	An intelligent system for tuning magnetic field of a cathode ray tube deflection yoke. Knowl. Based Syst. Antanas Verikas, Marija Bacauskiene, Alvydas Dosinas, Vacys Bartkevicius, Adas Gelzinis, Mindaugas Vaitkunas, Arunas Lipnickas
2003	J	`jnl`	Learning an Adaptive Dissimilarity Measure for Nearest Neighbour Classification. Neural Comput. Appl. Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist
2003	—	`conf`	Neural Modelling and Control of the Offset Printing Process. Neural Networks and Computational Intelligence Antanas Verikas, Lars Bergman, Kerstin Malmqvist, Marija Bacauskiene
2003	C	`conf`	Selecting Salient Features for Classification Committees. ICANN Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist
2002	J	`jnl`	Feature selection with neural networks. Pattern Recognit. Lett. Antanas Verikas, Marija Bacauskiene
2002	J	`jnl`	Fusing Neural Networks Through Space Partitioning and Fuzzy Integration. Neural Process. Lett. Antanas Verikas, Arunas Lipnickas
2002	C	`conf`	Selecting Neural Networks for Making a Committee Decision. ICANN Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist
2002	J	`jnl`	Selecting Neural Networks for a Committee Decision. Int. J. Neural Syst. Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist
2001	J	`jnl`	Combining neural networks, fuzzy sets, and the evidence theory based techniques for detecting colour specks. J. Intell. Fuzzy Syst. Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene
2001	—	`conf`	Using Unlabelled Data to Train a Multilayer Perceptron. ICAPR Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist, Marija Bacauskiene
2001	J	`jnl`	Using Unlabelled Data to Train a Multilayer Perceptron. Neural Process. Lett. Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist
2000	—	`conf`	Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images. IJCNN (2) Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene
2000	J	`jnl`	Monitoring the De-Inking Process through Neural Network-Based Colour Image Analysis. Neural Comput. Appl. Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman
2000	J	`jnl`	Neural Networks Based Colour Measuring for Process Monitoring and Control in Multicoloured Newspaper Printing. Neural Comput. Appl. Antanas Verikas, Kerstin Malmqvist, Lars Bergman
2000	J	`jnl`	Training neural networks by stochastic optimisation. Neurocomputing Antanas Verikas, Adas Gelzinis
1999	—	`conf`	Possibilistic Neural Network Training for Detecting Color Specks. SIP Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman
1999	J	`jnl`	Quality Function for Unsupervised Classification and its Use in Graphic Arts. J. Adv. Comput. Intell. Intell. Informatics Adas Gelzinis, Antanas Verikas, Kerstin Malmqvist
1999	J	`jnl`	Soft combination of neural classifiers: A comparative study. Pattern Recognit. Lett. Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist, Marija Bacauskiene, Adas Gelzinis
1999	C	`conf`	Using Labelled and Unlabelled Data to Train a Multilayer Perceptron for Colour Classification in Graphic Arts. IEA/AIE Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist
1998	J	`jnl`	Colour Classification by Neural Networks in Graphic Arts. Neural Comput. Appl. Antanas Verikas, Kerstin Malmqvist, Lars Bergman, Mikael Signahl
1998	B	`conf`	Soft Fusion of Neural Classifiers. ICONIP Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Arunas Lipnickas
1997	—	`conf`	A Random Search Technique for Training Neural Networks. ICONIP (1) Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist
1997	J	`jnl`	Colour image segmentation by modular neural network. Pattern Recognit. Lett. Antanas Verikas, Kerstin Malmqvist, Lars Bergman
1995	—	`conf`	Increasing colour image segmentation accuracy by means of fuzzy post-processing. ICNN Antanas Verikas, Kerstin Malmqvist
1992	J	`jnl`	Adaptive character recognition system. Pattern Recognit. Lett. Antanas Verikas, Marija Bacauskiene, S. J. Vilunas, D. R. Skaisgiris
1985	J	`jnl`	Optical character recognition based on analog preprocessing and automatic feature extraction. Comput. Vis. Graph. Image Process. A. Lashas, R. Shurna, Antanas Verikas, Alvydas Dosinas