Antanas Verikas

From ISLAB/CAISR


Antanas Verikas

Antanas Verikas, Professor, PhD



Family Name: Verikas
Given Name: Antanas
Role: Professor
Title: PhD
Subject: Pattern Recognition
Email: antanas.verikas@hh.se
url: 
Phone: +46-35-16-71-40
Cell Phone: 




Courses:
  Teaching:  Learning Systems (7.5 credits)Thesis (30 credits)
Subject areas: Learning Systems, Signal Analysis
Application areas:
Projects: Centre for Health Technology Halland - HCH, PPQ

Journal publications registered in DiVA

Mohamed-Rafik Bouguelia, Sławomir Nowaczyk, K. C. Santosh, Antanas Verikas (2017). Agreeing to disagree : active learning with noisy labels without crowdsourcing. International Journal of Machine Learning and Cybernetics.

Jens Lundström, Eric Järpe, Antanas Verikas (2016). Detecting and exploring deviating behaviour of smart home residents. Expert systems with applications. 55, pp. 429-440

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Irina Olenina, Evaldas Vaiciukynas (2015). An Integrated Approach to Analysis of Phytoplankton Images. IEEE Journal of Oceanic Engineering. 40(2), pp. 315-326

Evaldas Vaiciukynas, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Zvi Kons (2014). Enhancing decision-level fusion through cluster-based partitioning of feature set. The MENDEL Soft Computing journal : International Conference on Soft Computing MENDEL. , pp. 259-264

Jens Lundström, Antanas Verikas (2013). Assessing print quality by machine in offset colour printing. Knowledge-Based Systems. 37, pp. 70-79

Zivile Kalsyte, Antanas Verikas (2013). A novel approach to exploring company’s financial soundness: Investor’s perspective. Expert systems with applications. 40(13), pp. 5085-5092

Zivile Kalsyte, Antanas Verikas (2013). A novel approach to exploring company’s financial soundness : Investor’s perspective. Expert systems with applications. 40(13), pp. 5085-5092

Marija Bacauskiene, Antanas Verikas, Adas Gelzinis, Aurelija Vegiene (2012). Random forests based monitoring of human larynx using questionnaire data. Expert systems with applications. 39(5), pp. 5506-5512

Cristofer Englund, Antanas Verikas (2012). A novel approach to estimate proximity in a random forest : An exploratory study. Expert systems with applications. 39(17), pp. 13046-13050

Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Evaldas Vaiciukynas, Virgilijus Uloza (2012). Questionnaire- versus voice-based screening for laryngeal disorders. Expert systems with applications. 39(6), pp. 6254-6262

Vilius Kontrimas, Antanas Verikas (2011). The mass appraisal of the real estate by computational intelligence. Applied Soft Computing. 11(1), pp. 443-448

Antanas Verikas, Jonas Guzaitis, Adas Gelzinis, Marija Bacauskiene (2011). A general framework for designing a fuzzy rule-based classifier. Knowledge and Information Systems. 29(1), pp. 203-221

Antanas Verikas, Adas Gelzinis, Magnus Clarin, Marija Bacauskiene, Ahmad Alzghoul (2011). Screening web breaks in a pressroom by soft computing. Applied Soft Computing. 11(3), pp. 3114-3124

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene (2011). Mining data with random forests : A survey and results of new tests. Pattern Recognition. 44(2), pp. 330-349

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza (2010). Towards noninvasive screening for malignant tumours in human larynx. Medical Engineering and Physics. 32(1), pp. 83-89

Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Zivile Kalsyte (2010). Hybrid and ensemble-based soft computing techniques in bankruptcy prediction : a survey. Soft Computing - A Fusion of Foundations, Methodologies and Applications. 14(9), pp. 995-1010

Marcus Ejnarsson, Antanas Verikas, Carl Magnus Nilsson (2009). Multi-resolution screening of paper formation variations on production line. Expert systems with applications. 36(2, part 2), pp. 3144-3152

Antanas Verikas, Virgilijus Uloza, Marija Bacauskiene, Adas Gelzinis, Edgaras Kelertas (2009). Advances in laryngeal imaging. European Archives of Oto-Rhino-Laryngology. 266(10), pp. 1509-1520

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza, Marius Kaseta (2009). Using the patient's questionnaire data to screen laryngeal disorders. Computers in Biology and Medicine. 39(2), pp. 148-155

Antanas Verikas, Marija Bacauskiene (2008). Estimating ink density from colour camera RGB values by the local kernel ridge regression. Engineering applications of artificial intelligence. 21(1), pp. 35-42

Cristofer Englund, Antanas Verikas (2008). Ink feed control in a web-fed offset printing press. The International Journal of Advanced Manufacturing Technology. 39(9-10), pp. 919-930

A. Gelzinis, Antanas Verikas, M. Bacauskiene (2008). Automated speech analysis applied to laryngeal disease categorization. Computer Methods and Programs in Biomedicine. 91(1), pp. 36-47

Cristofer Englund, Antanas Verikas (2008). Ink flow control by multiple models in an offset lithographic printing process. Computers & industrial engineering. 55(3), pp. 592-605

Antanas Verikas, Marija Bacauskiene, Donatas Valincius, Adas Gelzinis (2008). Predictor output sensitivity and feature similarity-based feature selection. Fuzzy sets and systems (Print). 159(4), pp. 422-434

Jonas Guzaitis, Antanas Verikas (2008). An Efficient Technique to Detect Visual Defects in Particleboards. Informatica (Vilnius). 19(3), pp. 363-376

Adas Gelzinis, Antanas Verikas, Marija Bacauskiene (2007). Increasing the discrimination power of the co-occurrence matrix-based features. Pattern Recognition. 40(9), pp. 2367-2372

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Donata Valincius, Virgilijus Uloza (2007). A kernel-based approach to categorizing laryngeal images. Computerized Medical Imaging and Graphics. 31(8), pp. 587-594

Antanas Verikas, Marija Bacauskiene, Carl-Magnus Nilsson (2007). Estimating the amount of cyan, magenta, yellow, and black inks in arbitrary colour pictures. Neural computing & applications (Print). 16(2), pp. 187-195

Jörgen Ungh, Carl Magnus Nilsson, Antanas Verikas (2007). Analysis of paper, print and press interaction from online measurements in a press room. Nordic Pulp & Paper Research Journal. 22(3), pp. 383-387

Vilius Kontrimas, Antanas Verikas (2007). Neural networks based screening of real estate transactions. Neural Network World. 17(1), pp. 17-30

Cristofer Englund, Antanas Verikas (2007). A SOM-based data mining strategy for adaptive modelling of an offset lithographic printing process. Engineering applications of artificial intelligence. 20(3), pp. 391-400

Antanas Verikas, Adas Gelzinis, Donatas Valincius, Marija Bacauskiene, Virgilijus Uloza (2007). Multiple feature sets based categorization of laryngeal images. Computer Methods and Programs in Biomedicine. 85(3), pp. 257-266

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza (2006). Towards a computer-aided diagnosis system for vocal cord diseases. Artificial Intelligence in Medicine. 36(1), pp. 71-84

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza (2006). Integrating global and local analysis of color, texture and geometrical information for categorizing laryngeal images. International journal of pattern recognition and artificial intelligence. 20(8), pp. 1187-1205

Cristofer Englund, Antanas Verikas (2005). A hybrid approach to outlier detection in the offset lithographic printing process. Engineering applications of artificial intelligence. 18(6), pp. 759-768

Antanas Verikas, Kerstin Malmqvist, Lars Bergman (2005). Detecting and measuring rings in banknote images. Engineering applications of artificial intelligence. 18(3), pp. 363-371

Antanas Verikas, Marija Bacauskiene (2005). Image analysis and fuzzy integration applied to print quality assessment. Cybernetics and systems. 36(6), pp. 549-564

Lars Bergman, Antanas Verikas, M. Bacauskiene (2005). Unsupervised colour image segmentation applied to printing quality assessment. Image and Vision Computing. 23(4), pp. 417-425

Marija Bacauskiene, Antanas Verikas (2004). The Evidence Theory Based Post-Processing of Colour Images. Informatica (Vilnius). 15(3), pp. 315-328

Antanas Verikas, Marija Bacauskiene, A. Dosinas, V. Bartkevicius, Adas Gelzinis, M. Vaitkunas, Arunas Lipnickas (2004). Intelligent deflection yoke magnetic field tuning. Journal of Intelligent Manufacturing. 15(3), pp. 275-286

Marija Bacauskiene, Antanas Verikas (2004). Selecting salient features for classification based on neural network committees. Pattern Recognition Letters. 25(16), pp. 1879-1891

Antanas Verikas, Kerstin Malmqvist, Lars Bergman, P. Engstrand (2003). Colour speck counter for assessing the dirt level in secondary fibre pulps. Journal of Pulp and Paper Science (JPPS). 29(7), pp. 220-224

Antanas Verikas, M. Bacauskiene, Kerstin Malmqvist (2003). Learning an Adaptive Dissimilarity Measure for Nearest Neighbour Classification. Neural computing & applications (Print). 11(3-4), pp. 203-209

Antanas Verikas, M. Bacauskiene (2003). Using artificial neural networks for process and system modelling. Chemometrics and Intelligent Laboratory Systems. 67(2), pp. 187-191

Antanas Verikas, Marija Bacauskiene (2002). Feature Selection with Neural Networks. Pattern Recognition Letters. 23(11), pp. 1323-1335

Antanas Verikas, Arunas Lipnickas (2002). Fusing neural networks through space partitioning and fuzzy integration. Neural Processing Letters. 16(1), pp. 53-65

Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist (2002). Selecting neural networks for a committee decision. International Journal of Neural Systems. 12(5), pp. 351-361

Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist (2001). Using unlabelled data to train a multilayer perceptron. Neural Processing Letters. 14(3), pp. 179-201

Antanas Verikas, Adas Gelzinis (2000). Training neural networks by stochastic optimisation. Neurocomputing. 30(1-4), pp. 153-172

Antanas Verikas, Kerstin Malmqvist, M. Bacauskiene, Lars Bergman (2000). Monitoring the de-inking process through neural network-based colour image analysis. Neural computing & applications (Print). 9(2), pp. 142-151

Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist, Marija Bacauskiene, Adas Gelzinis (1999). Soft combination of neural classifiers : a comparative study. Pattern Recognition Letters. 20(4), pp. 429-444

Antanas Verikas, Kerstin Malmqvist, L. Malmqvist, L. Bergman (1999). A New method for colour measurements in graphic arts. Color Research and Application. 24(3), pp. 185-196

Adas Gelzinis, Antanas Verikas, Kerstin Malmqvist (1999). Quality function for unsupervised classification and its use in graphic arts. Journal of Advanced Computational Intelligence. 3(6), pp. 532-540

Antanas Verikas, Kerstin Malmqvist, L. Bergman, M. Signahl (1998). Colour classification by neural networks in graphic arts. Neural computing & applications (Print). 7(1), pp. 52-64

Antanas Verikas, Kerstin Malmqvist, Lars Bergman (1997). Colour image segmentation by modular neural network. Pattern Recognition Letters. 18(2), pp. 173-185

Conference publications registered in DiVA

Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Jonas Minelga, Magnus Clarin, Evaldas Padervinskis, Virgilijus Uloza (2015). Towards Voice and Query Data-based Non-invasive Screening for Laryngeal Disorders. The 14th International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED’15), Tenerife, Canary Islands, Spain, January 10-12, 2015.

Adas Gelzinis, Antanas Verikas, Evaldas Vaiciukynas, Marija Bacauskiene, Jonas Minelga, Magnus Clarin, Virgilijus Uloza, Evaldas Padervinskis (2014). Exploring sustained phonation recorded with acoustic and contact microphones to screen for laryngeal disorders. CICARE 2014 – 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health, Orlando, Florida, USA, December 9-12, 2014.

Jonas Minelga, Adas Gelzinis, Evaldas Vaiciukynas, Antanas Verikas, Marija Bacauskiene, Evaldas Padervinskis, Virgilijus Uloza (2014). Comparing Throat and Acoustic Microphones for Laryngeal Pathology Detection from Human Voice. ECT 2014 – The 9th International Conference on Electrical and Control Technologies, Kaunas, Lithuania, 8-9 May, 2014.

Zivile Kalsyte, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis (2013). A Novel Technique to Design an Adaptive Committee of Models Applied to Predicting Company’s Future Performance. 5th International Conference on Computer Research and Development (ICCRD 2013), Ho Chi Minh City, Vietnam, February 23-24, 2013.

Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Sigitas Sulcius, Ricardas Paskauskas, Irina Olenina (2013). Prototype-Based Contour Detection Applied to Segmentation of Phytoplankton Images. 3rd World Conference on Information Technology (WCIT-2012), 14-16 November 2012, University of Barcelon, Barcelona, Spain.

Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Evaldas Vaiciukynas (2013). Learning Accurate Active Contours. 14th International Conference, EANN 2013, Halkidiki, Greece, September 13-16.

Sofia Brorsson, Adas Gelzinis, Michail Tonkonogi, Antanas Verikas (2012). Differences in the muscle activities in the forearm muscles in healthy men and women. XIXth Congress of the International Society of Electrophysiology & Kinesiology, Brisbane, Australia, 19-21 July 2012.

Zivile Kalsyte, Antanas Verikas, Asta Vasiliauskaite (2012). Predicting trends of financial attributes by an adaptive committee of models. The 7th International Conference on Electrical and Control Technologies, ECT-2012, Kaunas, Lithuania, May 3-4, 2012.

Adas Gelzinis, Evaldas Vaiciukynas, Marija Bacauskiene, Antanas Verikas, Sigitas Sulcius, Ricardas Paskauskas, Irina Oleninaz (2012). Boosting performance of the edge-based active contour model applied to phytoplankton images. 13th IEEE International Symposium on Computational Intelligence and Informatics (CINTI2012), , November 20-22, Budapest, Hungary.

Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Irina Olenina, Sergej Olenin (2011). Detecting P. minimum cells in phytoplankton images. The 6th international conference on Electrical and Control Technologies ECT 2011, May 5-6, 2011, Kaunas, Lithuania.

Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Virgilijus Uloza (2011). Monitoring Human Larynx by Random Forests Using Questionnaire Data. The 11th International Conference on Intelligent Systems Design and Applications.

Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Irina Olenina, Sergej Olenin (2011). Categorizing cells in phytoplankton images. The 11th WSEAS International Conference on Signal Processing, Computational Geometry and Artificial Vision (ISCGAV'11), Florence, Italy, August 23-25, 2011.

Jens Lundström, Antanas Verikas (2011). System for Assessing, Exploring and Monitoring Offset Print Quality. The 2nd European Conference of Systems (ECS '11), Puerto De La Cruz Tenerife, Spain, December 10-12, 2011.

Evaldas Vaiciukynas, Adas Gelzinis, Marija Bacauskiene, Antanas Verikas, Aurelija Vegiene (2010). Exploring Kernels in SVM-Based Classification of Larynx Pathology from Human Voice. The 5th International Conference on Electrical and Control Technologies 6-7 May 2010, Kaunas, Lithuania.

Jens Lundström, Antanas Verikas (2010). Detecting Halftone Dots for Offset Print Quality Assessment Using Soft Computing. WCCI 2010 IEEE World Congress on Computational Intelligence, FUZZ-IEEE.

Adas Gelzinis, Evaldas Vaiciukynas, Edgaras Kelertas, Marija Bacauskiene, Antanas Verikas, Uloza Virgilijus, Aurelija Vegiene (2009). Categorizing sequences of laryngeal data for decision support. Electrical and Control Technologies: proceedings of the 4th international conference, ECT 2009, May 7 - 8, Kaunas, Lithuania.

Antanas Verikas, Virgilijus Uloza, Adas Gelzinis, Marija Bacauskiene, Ruta Pribuisiene, Marius Kaseta (2009). Exploiting image, voice, and patient's questionnaire for screening laryngeal disorders. 3rd Advanced Voice Function Assessement International Workshop (AVFA 2009), May 18-20, 2009, Madrid, Spain.

Ahmad Alzghoul, Antanas Verikas, Magnus Clarin, Marija Bacauskiene, Adas Gelzinis (2009). Screening paper runnability in a web-offset pressroom by data mining. 9th Industrial Conference on Advances in Data Mining: Applications and Theoretical Aspects, ICDM 2009, Leipzig, 20 - 22 July 2009.

Adas Gelzinis, Evaldas Vaiciukynas, Edgaras Kelertas, Bacauskiene Marija, Antanas Verikas, Uloza Virgilijus, Vegiene Aurelija (2009). Towards video laryngostroboscopy-based automated screening for laryngeal disorders. 6th International Conference “Models and Analysis of Vocal Emissions for Biomedical Applications”, MAVEBA 2009, December 14-16, Firenze, Italy.

Jonas Guzaitis, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene (2009). A framework for designing a fuzzy rule-based classifier. ADT2009, 1st International Conference on Algorithmic Decision Theory, Venice, Italy, October 2009.

Antanas Verikas, Virgilijus Uloza, Adas Gelzinis, Marija Bacauskiene, Ruta Pribuisiene, Marius Kaseta (2009). Exploiting image, voice, and patient's questionnaire data for screening laryngeal disorders. 3rd Advanced Voice Function Assessement International Workshop (AVFA 2009), May 18-20, Madrid, Spain.

Jonas Guzaitis, Antanas Verikas (2008). ANN and ICA sparse code shrinkage de-noising based defect detection in pavement tiles. 14th International Conference on Information and Software Technologies, IT 2008, Kaunas, Lithuania, April 24-25, 2008.

Marija Bacauskiene, Adas Gelzinis, Marius Kaseta, Marina Kovalenko, Ruta Pribuisiene, Virgilijus Uloza, Antanas Verikas (2007). Multiple feature sets and genetic search based discrimination of pathological voices. International Conference “Models and Analysis of Vocal Emissions for Biomedical Applications”, MAVEBA 2007, Florence, Italy.

D. Valinicius, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis (2007). Evolving Committees of Support Vector Machines. 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, Leipzig, Germany, July 18-20, 2007.

Cristofer Englund, Antanas Verikas (2007). Combining traditional and neural-based techniques for ink feed control in a newspaper printing press. 7th Industrial Conference on Data Mining, Leipzig, GERMANY, JUL 14-18, 2007.

Marcus Ejnarsson, Carl-Magnus Nilsson, Antanas Verikas (2007). Screening paper Formation variations on production line. 20th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems Location, Kyoto, JAPAN, JUN 26-29, 2007.

Donatas Valincius, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene (2006). Image analysis based categorization of laryngeal diseases. 1st International Conference on Electrical and Control Technologies, 2006, MAY 04-05, 2006 Kaunas, LITHUANIA, 2006.

Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson (2006). Soft Computing for Assessing the Quality of Colour Prints. 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Annecy, France, June 27-30, 2006.

Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas (2006). A Kernel based multi-resolution time series analysis for screening deficiencies in paper production. third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006.

Marija Bacauskiene, Vladas Cibulskis, Antanas Verikas (2006). Selecting variables for neural network committees. third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006.

Cristofer Englund, Antanas Verikas (2005). A SOM based model combination strategy. Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005.

Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza (2005). Intelligent vocal cord image analysis for categorizing laryngeal diseases. 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE 2005.

Lars Bergman, Antanas Verikas (2004). Intelligent Monitoring of the Offset Printing Process. International Conference on Neural Networks and Computational Intelligence, Grindelwald, 23 - 25 February 2004.

Antanas Verikas, Marija Bacauskiene, Adas Gelzinis (2004). Leverages Based Neural Networks Fusion. 11th International Conference, ICONIP 2004, Calcutta.

Lars Bergman, Antanas Verikas, Cristofer Englund, J. Kindberg, J. Olsson, B. Sjögren (2003). Modelling and Control of the Web-Fed Offset Newspaper Printing Press. 2003 Proceedings-Technical Associations of the Graphic Arts, TAGA, Montreal, Canada.

Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist (2001). Selecting features with neural networks. 8th International Conference on Neural Information Processing (ICONIP 2001), SHANGHAI, PEOPLES R CHINA, NOV 14-18, 2001.

Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene (2000). Combining neural networks, fuzzy sets, and evidence theory based approaches for analysing colour images. International Joint Conference on Neural Networks (IJCNN'2000), Como, Italy, July 24-27, 2000.

Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist (1999). Using Labelled and Unlabelled Data to Train a Multilayer Perceptron for Colour Classification in Graphic Arts. 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE -99, Cairo, Egypt, May 31 - June 3, 1999.

Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Arunas Lipnickas (1998). Soft fusion of neural classifiers. 5th International Conference on Neural Information Processing (ICONIP 98) / 1998 Annual Conference of the Japanese-Neural-Network-Society (JNNS 98), Kitakyushu, Japan, Oct. 21-23, 1998.

Mikael Signahl, Antanas Verikas (1997). Fuzzy combination schemes for modular neural networks. the 10th Scandinavian Conference on Image Analysis, Lappeenranta, Finland, June 9-11, 1997.

Antanas Verikas, Kerstin Malmqvist (1995). Increasing colour image segmentation accuracy by means of fuzzy post-processing. 1995 IEEE International Conference on Neural Networks, the University of Western Australia, Perth, Western Australia, 27 November-1 December 1995.

Antanas Verikas, Kerstin Malmqvist, Hans Busk (1994). Image analysis and artificial neural network for colour classification in multicolour newspaper printing. 1994 International Printing and Graphic Arts Conference, Halifax, Canada, 17-20 October 1994.

Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman, Kenneth Nilsson (1994). Hierarchical neural network for color classification. 1994 IEEE International Conference on Neural Networks (ICNN 94) - 1st IEEE World Congress on Computational Intelligence, Orlando, FL, June 26-29, 1994.