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2020 – today
- 2024
[j15]Haroldas Razvadauskas
, Evaldas Vaiciukynas, Kazimieras Buskus, Lukas Arlauskas, Slawomir Nowaczyk, Saulius Sadauskas, Albinas Naudziunas:
Exploring classical machine learning for identification of pathological lung auscultations. Comput. Biol. Medicine 168: 107784 (2024)- 2023
- [c9]Sirje Virkus, Henrique São Mamede, Vítor Jorge Ramos Rocio, Jochen Dickel, Olga Zubikova, Rita Butkiene, Evaldas Vaiciukynas, Lina Ceponiene, Daina Gudoniene:
Chatbots Scenarios for Education. ICIST 2023: 207-221 - 2022
- [j14]Kazimieras Buskus, Evaldas Vaiciukynas, Saule Medelyte, Andrius Siaulys:
Exploring the necessity of mosaicking for underwater imagery semantic segmentation using deep learning. J. WSCG 30(1-2): 26-33 (2022) - [c8]Kestutis Daugela, Evaldas Vaiciukynas:
Real-Time Anomaly Detection for Distributed Systems Logs Using Apache Kafka and H2O.ai. ICIST 2022: 33-42 - [i2]Haroldas Razvadauskas, Evaldas Vaiciukynas, Kazimieras Buskus, Lukas Drukteinis, Lukas Arlauskas, Saulius Sadauskas, Albinas Naudziunas:
Exploring traditional machine learning for identification of pathological auscultations. CoRR abs/2209.00672 (2022) - 2021
- [j13]Evaldas Vaiciukynas, Paulius Danenas, Vilius Kontrimas, Rimantas Butleris:
Two-Step Meta-Learning for Time-Series Forecasting Ensemble. IEEE Access 9: 62687-62696 (2021) - [j12]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) - [c7]Mantas Jurgelaitis, Vaidotas Drungilas, Lina Ceponiene, Evaldas Vaiciukynas, Rita Butkiene, Jonas Ceponis:
Smart Contract Code Generation from Platform Specific Model for Hyperledger Go. WorldCIST (4) 2021: 63-73 - 2020
- [i1]Evaldas Vaiciukynas, Paulius Danenas, Vilius Kontrimas, Rimantas Butleris:
Meta-Learning for Time Series Forecasting Ensemble. CoRR abs/2011.10545 (2020)
2010 – 2019
- 2019
- [c6]Mantas Jurgelaitis, Vaidotas Drungilas, Lina Ceponiene, Rita Butkiene, Evaldas Vaiciukynas:
Modelling principles for blockchain-based implementation of business or scientific processes. IVUS 2019: 43-47 - 2018
- [j11]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) - [j10]Evaldas Vaiciukynas, Matej Ulicny, Sepideh Pashami, Slawomir Nowaczyk:
Learning Low-Dimensional Representation of Bivariate Histogram Data. IEEE Trans. Intell. Transp. Syst. 19(11): 3723-3735 (2018) - 2017
- [c5]Evaldas Vaiciukynas, Adas Gelzinis, Antanas Verikas, Marija Bacauskiene:
Parkinson's Disease Detection from Speech Using Convolutional Neural Networks. GOODTECHS 2017: 206-215 - 2016
- [j9]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) - [c4]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 - 2015
- [j8]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) - [j7]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) - [j6]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) - 2014
- [j5]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) - [c3]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 - 2013
- [c2]Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Evaldas Vaiciukynas:
Learning Accurate Active Contours. EANN (1) 2013: 396-405 - 2012
- [j4]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) - [j3]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) - [j2]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) - [j1]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)
2000 – 2009
- 2009
- [c1]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
Coauthor Index
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