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2020 – today
- 2022
[i1]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 abs/2210.13876 (2022)- 2021
- [j72]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): 7598 (2021) - 2020
- [j71]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: 101047 (2020)
2010 – 2019
- 2018
- [j70]Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, KC Santosh, Antanas Verikas:
Agreeing to disagree: active learning with noisy labels without crowdsourcing. Int. J. Mach. Learn. Cybern. 9(8): 1307-1319 (2018) - [j69]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): 1107-1114 (2018) - [e6]Antanas Verikas, Dmitry P. Nikolaev, Petia Radeva, Jianhong Zhou:
Eleventh International Conference on Machine Vision, ICMV 2018, Munich, Germany, 1-3 November 2018. SPIE Proceedings 11041, SPIE 2018 [contents] - 2017
- [j68]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: 19-29 (2017) - [j67]Antanas Verikas, James Parker, Marija Bacauskiene, Charlotte Olsson:
Exploring relations between EMG and biomechanical data recorded during a golf swing. Expert Syst. Appl. 88: 109-117 (2017) - [j66]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): 1003-1013 (2017) - [c34]Evaldas Vaiciukynas, Adas Gelzinis, Antanas Verikas, Marija Bacauskiene:
Parkinson's Disease Detection from Speech Using Convolutional Neural Networks. GOODTECHS 2017: 206-215 - [e5]Antanas Verikas, Petia Radeva, Dmitry P. Nikolaev, Jianhong Zhou:
Tenth International Conference on Machine Vision, ICMV 2017, Vienna, Austria, 13-15 November 2017. SPIE Proceedings 10696, SPIE 2017, ISBN 9781510619418 [contents] - 2016
- [j65]Jens Lundström, Eric Järpe, Antanas Verikas:
Detecting and exploring deviating behaviour of smart home residents. Expert Syst. Appl. 55: 429-440 (2016) - [j64]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): 592 (2016) - [c33]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: 129:005 - [c32]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: 328-337 - [e4]Antanas Verikas, Petia Radeva, Dmitry P. Nikolaev, Wei Zhang, Jianhong Zhou:
Ninth International Conference on Machine Vision, ICMV 2016, Nice, France, 18-20 November 2016. SPIE Proceedings 10341, SPIE 2016, ISBN 9781510611313 [contents] - 2015
- [j63]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: 101-116 (2015) - [j62]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): 8445-8453 (2015) - [j61]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): 305-315 (2015) - [j60]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): 20480-20500 (2015) - [c31]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: 118-127 - [e3]Antanas Verikas, Petia Radeva, Dmitry P. Nikolaev:
Eighth International Conference on Machine Vision, ICMV 2015, Barcelona, Spain, 19-20 November 2015. SPIE Proceedings 9875, SPIE 2015, ISBN 9781510601161 [contents] - 2014
- [j59]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: 91-103 (2014) - [c30]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: 125-132 - [e2]Antanas Verikas, Branislav Vuksanovic, Petia Radeva, Jianhong Zhou:
Seventh International Conference on Machine Vision, ICMV 2014, Milan, Italy, 19-21 November 2014. SPIE Proceedings 9445, SPIE 2014, ISBN 9781628415605 [contents] - 2013
- [j58]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): 2051-2057 (2013) - [j57]Zivile Kalsyte, Antanas Verikas:
A novel approach to exploring company's financial soundness: Investor's perspective. Expert Syst. Appl. 40(13): 5085-5092 (2013) - [j56]Jens Lundström, Antanas Verikas:
Assessing print quality by machine in offset colour printing. Knowl. Based Syst. 37: 70-79 (2013) - [c29]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Evaldas Vaiciukynas:
Learning Accurate Active Contours. EANN (1) 2013: 396-405 - [e1]Branislav Vuksanovic, Jianhong Zhou, Antanas Verikas:
Sixth International Conference on Machine Vision, ICMV 2013, London, United Kingdom, April 16-17, 2013. SPIE Proceedings 9067, SPIE 2013, ISBN 9780819499967 [contents] - 2012
- [j55]Marija Bacauskiene, Antanas Verikas, Adas Gelzinis, Aurelija Vegiene:
Random forests based monitoring of human larynx using questionnaire data. Expert Syst. Appl. 39(5): 5506-5512 (2012) - [j54]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): 6069-6077 (2012) - [j53]Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Evaldas Vaiciukynas, Virgilijus Uloza:
Questionnaire- versus voice-based screening for laryngeal disorders. Expert Syst. Appl. 39(6): 6254-6262 (2012) - [j52]Cristofer Englund, Antanas Verikas:
A novel approach to estimate proximity in a random forest: An exploratory study. Expert Syst. Appl. 39(17): 13046-13050 (2012) - [j51]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): 1659-1670 (2012) - [j50]Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza:
Exploring similarity-based classification of larynx disorders from human voice. Speech Commun. 54(5): 601-610 (2012) - 2011
- [j49]Vilius Kontrimas, Antanas Verikas:
The mass appraisal of the real estate by computational intelligence. Appl. Soft Comput. 11(1): 443-448 (2011) - [j48]Antanas Verikas, Adas Gelzinis, Magnus Hållander, Marija Bacauskiene, A. Alzghoul:
Screening web breaks in a pressroom by soft computing. Appl. Soft Comput. 11(3): 3114-3124 (2011) - [j47]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): 13441-13447 (2011) - [j46]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): 259-278 (2011) - [j45]Antanas Verikas, Jonas Guzaitis, Adas Gelzinis, Marija Bacauskiene:
A general framework for designing a fuzzy rule-based classifier. Knowl. Inf. Syst. 29(1): 203-221 (2011) - [j44]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene:
Mining data with random forests: A survey and results of new tests. Pattern Recognit. 44(2): 330-349 (2011) - [c28]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: 4:1-4:5 - [c27]Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Virgilijus Uloza:
Monitoring human larynx by random forests using questionnaire data. ISDA 2011: 914-919 - 2010
- [j43]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): 43-50 (2010) - [j42]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): 6957-6962 (2010) - [j41]Antanas Verikas, Zivile Kalsyte, Marija Bacauskiene, Adas Gelzinis:
Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey. Soft Comput. 14(9): 995-1010 (2010) - [c26]Jens Lundström, Antanas Verikas:
Detecting halftone dots for offset print quality assessment using soft computing. FUZZ-IEEE 2010: 1-7
2000 – 2009
- 2009
- [j40]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): 148-155 (2009) - [j39]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): 800-809 (2009) - [j38]Marcus Ejnarsson, Antanas Verikas, Carl Magnus Nilsson:
Multi-resolution screening of paper formation variations on production line. Expert Syst. Appl. 36(2): 3144-3152 (2009) - [j37]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): 645-654 (2009) - [c25]Jonas Guzaitis, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene:
A Framework for Designing a Fuzzy Rule-Based Classifier. ADT 2009: 434-445 - [c24]A. Alzghoul, Antanas Verikas, Magnus Hållander, Marija Bacauskiene, Adas Gelzinis:
Screening Paper Runnability in a Web-Offset Pressroom by Data Mining. ICDM 2009: 161-175 - [c23]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: 125-128 - 2008
- [j36]Cristofer Englund, Antanas Verikas:
Ink flow control by multiple models in an offset lithographic printing process. Comput. Ind. Eng. 55(3): 592-605 (2008) - [j35]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene:
Automated speech analysis applied to laryngeal disease categorization. Comput. Methods Programs Biomed. 91(1): 36-47 (2008) - [j34]Antanas Verikas, Marija Bacauskiene:
Estimating ink density from colour camera RGB values by the local kernel ridge regression. Eng. Appl. Artif. Intell. 21(1): 35-42 (2008) - [j33]Antanas Verikas, Marija Bacauskiene, D. Valincius, Adas Gelzinis:
Predictor output sensitivity and feature similarity-based feature selection. Fuzzy Sets Syst. 159(4): 422-434 (2008) - [j32]Jonas Guzaitis, Antanas Verikas:
An Efficient Technique to Detect Visual Defects in Particleboards. Informatica 19(3): 363-376 (2008) - 2007
- [j31]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, D. Valincius, Virgilijus Uloza:
A kernel-based approach to categorizing laryngeal images. Comput. Medical Imaging Graph. 31(8): 587-594 (2007) - [j30]Antanas Verikas, Adas Gelzinis, D. Valincius, Marija Bacauskiene, Virgilijus Uloza:
Multiple feature sets based categorization of laryngeal images. Comput. Methods Programs Biomed. 85(3): 257-266 (2007) - [j29]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): 391-400 (2007) - [j28]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): 187-195 (2007) - [j27]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene:
Increasing the discrimination power of the co-occurrence matrix-based features. Pattern Recognit. 40(9): 2367-2372 (2007) - [c22]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene:
Categorizing Laryngeal Images for Decision Support. ACIVS 2007: 521-530 - [c21]Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas:
Screening Paper Formation Variations on Production Line. IEA/AIE 2007: 511-520 - [c20]Cristofer Englund, Antanas Verikas:
Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press. ICDM 2007: 214-227 - [c19]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: 195-198 - [c18]D. Valincius, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis:
Evolving Committees of Support Vector Machines. MLDM 2007: 263-275 - 2006
- [j26]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza:
Towards a computer-aided diagnosis system for vocal cord diseases. Artif. Intell. Medicine 36(1): 71-84 (2006) - [j25]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): 1187-1206 (2006) - [c17]Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson:
Soft Computing for Assessing the Quality of Colour Prints. IEA/AIE 2006: 701-710 - [c16]Marija Bacauskiene, Vladas Cibulskis, Antanas Verikas:
Selecting Variables for Neural Network Committees. ISNN (1) 2006: 837-842 - [c15]Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas:
A Kernel Based Multi-resolution Time Series Analysis for Screening Deficiencies in Paper Production. ISNN (2) 2006: 1111-1116 - 2005
- [j24]Antanas Verikas, Marija Bacauskiene:
Image analysis and fuzzy integration applied to print quality assessment. Cybern. Syst. 36(6): 549-564 (2005) - [j23]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): 495-510 (2005) - [j22]Antanas Verikas, Kerstin Malmqvist, Lars Bergman:
Detecting and measuring rings in banknote images. Eng. Appl. Artif. Intell. 18(3): 363-371 (2005) - [j21]Cristofer Englund, Antanas Verikas:
A hybrid approach to outlier detection in the offset lithographic printing process. Eng. Appl. Artif. Intell. 18(6): 759-768 (2005) - [j20]Lars Bergman, Antanas Verikas, Marija Bacauskiene:
Unsupervised colour image segmentation applied to printing quality assessment. Image Vis. Comput. 23(4): 417-425 (2005) - [c14]Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Virgilijus Uloza:
Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases. IEA/AIE 2005: 69-78 - [c13]Cristofer Englund, Antanas Verikas:
A SOM Based Model Combination Strategy. ISNN (1) 2005: 461-466 - 2004
- [j19]Marija Bacauskiene, Antanas Verikas:
The Evidence Theory Based Post-Processing of Colour Images. Informatica 15(3): 315-328 (2004) - [j18]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): 275-286 (2004) - [j17]Marija Bacauskiene, Antanas Verikas:
Selecting salient features for classification based on neural network committees. Pattern Recognit. Lett. 25(16): 1879-1891 (2004) - [c12]Antanas Verikas, Marija Bacauskiene, Adas Gelzinis:
Leverages Based Neural Networks Fusion. ICONIP 2004: 446-451 - [c11]Lars Bergman, Antanas Verikas:
Intelligent monitoring of the offset printing process. Neural Networks and Computational Intelligence 2004: 173-178 - 2003
- [j16]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): 161-164 (2003) - [j15]Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist:
Learning an Adaptive Dissimilarity Measure for Nearest Neighbour Classification. Neural Comput. Appl. 11(3-4): 203-209 (2003) - [c10]Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist:
Selecting Salient Features for Classification Committees. ICANN 2003: 35-42 - [c9]Antanas Verikas, Lars Bergman, Kerstin Malmqvist, Marija Bacauskiene:
Neural Modelling and Control of the Offset Printing Process. Neural Networks and Computational Intelligence 2003: 130-135 - 2002
- [j14]Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist:
Selecting Neural Networks for a Committee Decision. Int. J. Neural Syst. 12(5): 351-361 (2002) - [j13]Antanas Verikas, Arunas Lipnickas:
Fusing Neural Networks Through Space Partitioning and Fuzzy Integration. Neural Process. Lett. 16(1): 53-65 (2002) - [j12]Antanas Verikas, Marija Bacauskiene:
Feature selection with neural networks. Pattern Recognit. Lett. 23(11): 1323-1335 (2002) - [c8]Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist:
Selecting Neural Networks for Making a Committee Decision. ICANN 2002: 420-425 - 2001
- [j11]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): 117-130 (2001) - [j10]Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist:
Using Unlabelled Data to Train a Multilayer Perceptron. Neural Process. Lett. 14(3): 179-201 (2001) - [c7]Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist, Marija Bacauskiene:
Using Unlabelled Data to Train a Multilayer Perceptron. ICAPR 2001: 40-49 - 2000
- [j9]Antanas Verikas, Adas Gelzinis:
Training neural networks by stochastic optimisation. Neurocomputing 30(1-4): 153-172 (2000) - [j8]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): 142-151 (2000) - [j7]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): 227-242 (2000) - [c6]Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene:
Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images. IJCNN (2) 2000: 297
1990 – 1999
- 1999
- [j6]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): 532-540 (1999) - [j5]Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist, Marija Bacauskiene, Adas Gelzinis:
Soft combination of neural classifiers: A comparative study. Pattern Recognit. Lett. 20(4): 429-444 (1999) - [c5]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: 550-559 - [c4]Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Lars Bergman:
Possibilistic Neural Network Training for Detecting Color Specks. SIP 1999: 323-327 - 1998
- [j4]Antanas Verikas, Kerstin Malmqvist, Lars Bergman, Mikael Signahl:
Colour Classification by Neural Networks in Graphic Arts. Neural Comput. Appl. 7(1): 52-64 (1998) - [c3]Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Arunas Lipnickas:
Soft Fusion of Neural Classifiers. ICONIP 1998: 195-198 - 1997
- [j3]Antanas Verikas, Kerstin Malmqvist, Lars Bergman:
Colour image segmentation by modular neural network. Pattern Recognit. Lett. 18(2): 173-185 (1997) - [c2]Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist:
A Random Search Technique for Training Neural Networks. ICONIP (1) 1997: 322-325 - 1995
- [c1]Antanas Verikas, Kerstin Malmqvist:
Increasing colour image segmentation accuracy by means of fuzzy post-processing. ICNN 1995: 1713-1718 - 1992
- [j2]Antanas Verikas, Marija Bacauskiene, S. J. Vilunas, D. R. Skaisgiris:
Adaptive character recognition system. Pattern Recognit. Lett. 13(3): 207-212 (1992)
1980 – 1989
- 1985
- [j1]A. Lashas, R. Shurna, Antanas Verikas, Alvydas Dosinas:
Optical character recognition based on analog preprocessing and automatic feature extraction. Comput. Vis. Graph. Image Process. 32(2): 191-207 (1985)
Coauthor Index
[j69] [j67] [c34] [c32] [j63] [j62] [j61] [j59] [c30] [j58] [c29] [j55] [j54] [j53] [j51] [j50] [j48] [j47] [j46] [j45] [j44] [c28] [c27] [j43] [j42] [j41] [j40] [j37] [c25] [c24] [c23] [j35] [j34] [j33] [j31] [j30] [j28] [j27] [c22] [c19] [c18] [j26] [j25] [c17] [c16] [j24] [j23] [j20] [c14] [j19] [j18] [j17] [c12] [j16] [j15] [c10] [c9] [j12] [j11] [c7] [j8] [c6] [j5] [c4] [c3] [j2]
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last updated on 2025-01-20 23:01 CET by the dblp team
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