| Mining data with random forests: A survey and results of new tests A Verikas, A Gelzinis, M Bacauskiene Pattern recognition 44 (2), 330-349, 2011 | 837 | 2011 |
| Feature selection with neural networks A Verikas, M Bacauskiene Pattern recognition letters 23 (11), 1323-1335, 2002 | 327 | 2002 |
| Soft combination of neural classifiers: A comparative study A Verikas, A Lipnickas, K Malmqvist, M Bacauskiene, A Gelzinis Pattern recognition letters 20 (4), 429-444, 1999 | 321 | 1999 |
| Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey A Verikas, Z Kalsyte, M Bacauskiene, A Gelzinis Soft Computing 14, 995-1010, 2010 | 222 | 2010 |
| The mass appraisal of the real estate by computational intelligence V Kontrimas, A Verikas Applied Soft Computing 11 (1), 443-448, 2011 | 215 | 2011 |
| Automated speech analysis applied to laryngeal disease categorization A Gelzinis, A Verikas, M Bacauskiene Computer methods and programs in biomedicine 91 (1), 36-47, 2008 | 126 | 2008 |
| Agreeing to disagree: Active learning with noisy labels without crowdsourcing MR Bouguelia, S Nowaczyk, KC Santosh, A Verikas International journal of machine learning and cybernetics 9, 1307-1319, 2018 | 112 | 2018 |
| Detecting Parkinson’s disease from sustained phonation and speech signals E Vaiciukynas, A Verikas, A Gelzinis, M Bacauskiene PloS one 12 (10), e0185613, 2017 | 99 | 2017 |
| Towards emotion recognition for virtual environments: an evaluation of eeg features on benchmark dataset MLR Menezes, A Samara, L Galway, A Sant’Anna, A Verikas, ... Personal and Ubiquitous Computing 21, 1003-1013, 2017 | 94 | 2017 |
| Electromyographic patterns during golf swing: Activation sequence profiling and prediction of shot effectiveness A Verikas, E Vaiciukynas, A Gelzinis, J Parker, MC Olsson Sensors 16 (4), 592, 2016 | 79 | 2016 |
| Exploring the feasibility of smart phone microphone for measurement of acoustic voice parameters and voice pathology screening V Uloza, E Padervinskis, A Vegiene, R Pribuisiene, V Saferis, ... European Archives of Oto-rhino-laryngology 272, 3391-3399, 2015 | 78 | 2015 |
| Categorizing normal and pathological voices: automated and perceptual categorization V Uloza, A Verikas, M Bacauskiene, A Gelzinis, R Pribuisiene, M Kaseta, ... Journal of Voice 25 (6), 700-708, 2011 | 72 | 2011 |
| Increasing the discrimination power of the co-occurrence matrix-based features A Gelzinis, A Verikas, M Bacauskiene Pattern Recognition 40 (9), 2367-2372, 2007 | 70 | 2007 |
| A feature selection technique for generation of classification committees and its application to categorization of laryngeal images M Bacauskiene, A Verikas, A Gelzinis, D Valincius Pattern Recognition 42 (5), 645-654, 2009 | 69 | 2009 |
| Advances in computational intelligence-based print quality assessment and control in offset colour printing A Verikas, J Lundström, M Bacauskiene, A Gelzinis Expert Systems with Applications 38 (10), 13441-13447, 2011 | 63 | 2011 |
| Advances in laryngeal imaging A Verikas, V Uloza, M Bacauskiene, A Gelzinis, E Kelertas European Archives of Oto-rhino-laryngology 266, 1509-1520, 2009 | 61 | 2009 |
| Colour image segmentation by modular neural network A Verikas, K Malmqvist, L Bergman Pattern Recognition Letters 18 (2), 173-186, 1997 | 61 | 1997 |
| Phase congruency-based detection of circular objects applied to analysis of phytoplankton images A Verikas, A Gelzinis, M Bacauskiene, I Olenina, S Olenin, E Vaiciukynas Pattern Recognition 45 (4), 1659-1670, 2012 | 57 | 2012 |
| Assessing print quality by machine in offset colour printing J Lundström, A Verikas Knowledge-Based Systems 37, 70-79, 2013 | 56 | 2013 |
| Detecting and exploring deviating behaviour of smart home residents J Lundström, E Järpe, A Verikas Expert Systems with Applications 55, 429-440, 2016 | 53 | 2016 |
Evaldas VaičiukynasKaunas University of TechnologyE-mail confirmado em ktu.lt
