Towards video laryngostroboscopy-based automated screening for laryngeal disorders. - Adas Gelzinis; Antanas Verikas; Marija Bacauskiene; Evaldas Vaiciukynas; Edgaras Kelertas; Virgilijus Uloza; Aurelija Vegiene (MAVEBA, 2009)

Questionnaire- versus voice-based screening for laryngeal disorders. - Antanas Verikas; Marija Bacauskiene; Adas Gelzinis; Evaldas Vaiciukynas; Virgilijus Uloza (Expert Syst. Appl., 2012)

Automated image analysis- and soft computing-based detection of the invasive dinoflagellate Prorocentrum minimum (Pavillard) Schiller. - Antanas Verikas; Adas Gelzinis; Marija Bacauskiene; Irina Olenina; Sergej Olenin; Evaldas Vaiciukynas (Expert Syst. Appl., 2012)

Phase congruency-based detection of circular objects applied to analysis of phytoplankton images. - Antanas Verikas; Adas Gelzinis; Marija Bacauskiene; Irina Olenina; Sergej Olenin; Evaldas Vaiciukynas (Pattern Recognit., 2012)

Exploring similarity-based classification of larynx disorders from human voice. - Evaldas Vaiciukynas; Antanas Verikas; Adas Gelzinis; Marija Bacauskiene; Virgilijus Uloza (Speech Commun., 2012)

Learning Accurate Active Contours. - Adas Gelzinis; Antanas Verikas; Marija Bacauskiene; Evaldas Vaiciukynas (EANN (1), 2013)

Exploring sustained phonation recorded with acoustic and contact microphones to screen for laryngeal disorders. - Adas Gelzinis; Antanas Verikas; Evaldas Vaiciukynas; Marija Bacauskiene; Jonas Minelga; Magnus Hållander; Virgilijus Uloza; Evaldas Padervinskis (CICARE, 2014)

Fusion of voice signal information for detection of mild laryngeal pathology. - Evaldas Vaiciukynas; Antanas Verikas; Adas Gelzinis; Marija Bacauskiene; Zvi Kons; Aharon Satt; Ron Hoory (Appl. Soft Comput., 2014)

Automatic detection and morphological delineation of bacteriophages in electron microscopy images. - Adas Gelzinis; Antanas Verikas; Evaldas Vaiciukynas; Marija Bacauskiene; Sigitas Sulcius; E. Simoliunas; J. Staniulis; R. Paskauskas (Comput. Biol. Medicine, 2015)

Fusing voice and query data for non-invasive detection of laryngeal disorders. - Evaldas Vaiciukynas; Antanas Verikas; Adas Gelzinis; Marija Bacauskiene; Jonas Minelga; Magnus Hållander; Evaldas Padervinskis; Virgilijus Uloza (Expert Syst. Appl., 2015)

A novel technique to extract accurate cell contours applied for segmentation of phytoplankton images. - Adas Gelzinis; Antanas Verikas; Evaldas Vaiciukynas; Marija Bacauskiene (Mach. Vis. Appl., 2015)

Fusing Various Audio Feature Sets for Detection of Parkinson's Disease from Sustained Voice and Speech Recordings. - Evaldas Vaiciukynas; Antanas Verikas; Adas Gelzinis; Marija Bacauskiene; Kestutis Vaskevicius; Virgilijus Uloza; Evaldas Padervinskis; Jolita Ciceliene (SPECOM, 2016)

Electromyographic Patterns during Golf Swing: Activation Sequence Profiling and Prediction of Shot Effectiveness. - Antanas Verikas; Evaldas Vaiciukynas; Adas Gelzinis; James Parker; Charlotte Olsson (Sensors, 2016)

Parkinson's Disease Detection from Speech Using Convolutional Neural Networks. - Evaldas Vaiciukynas; Adas Gelzinis; Antanas Verikas; Marija Bacauskiene (GOODTECHS, 2017)

Automatic benthic imagery recognition using a hierarchical two-stage approach. - Tadas Rimavicius; Adas Gelzinis; Antanas Verikas; Evaldas Vaiciukynas; Marija Bacauskiene; Aleksej Saskov (Signal Image Video Process., 2018)

Learning Low-Dimensional Representation of Bivariate Histogram Data. - Evaldas Vaiciukynas; Matej Ulicny; Sepideh Pashami; Slawomir Nowaczyk (IEEE Trans. Intell. Transp. Syst., 2018)

Modelling principles for blockchain-based implementation of business or scientific processes. - Mantas Jurgelaitis; Vaidotas Drungilas; Lina Ceponiene; Rita Butkiene; Evaldas Vaiciukynas (IVUS, 2019)

Meta-Learning for Time Series Forecasting Ensemble. - Evaldas Vaiciukynas; Paulius Danenas; Vilius Kontrimas; Rimantas Butleris (CoRR, 2020)

Smart Contract Code Generation from Platform Specific Model for Hyperledger Go. - Mantas Jurgelaitis; Vaidotas Drungilas; Lina Ceponiene; Evaldas Vaiciukynas; Rita Butkiene; Jonas Ceponis (WorldCIST (4), 2021)

Two-Step Meta-Learning for Time-Series Forecasting Ensemble. - Evaldas Vaiciukynas; Paulius Danenas; Vilius Kontrimas; Rimantas Butleris (IEEE Access, 2021)

Automated Quantification of Brittle Stars in Seabed Imagery Using Computer Vision Techniques. - Kazimieras Buskus; Evaldas Vaiciukynas; Antanas Verikas; Saule Medelyte; Andrius Siaulys; Aleksej Saskov (Sensors, 2021)

Real-Time Anomaly Detection for Distributed Systems Logs Using Apache Kafka and H2O.ai. - Kestutis Daugela; Evaldas Vaiciukynas (ICIST, 2022)

Exploring traditional machine learning for identification of pathological auscultations. - Haroldas Razvadauskas; Evaldas Vaiciukynas; Kazimieras Buskus; Lukas Drukteinis; Lukas Arlauskas; Saulius Sadauskas; Albinas Naudziunas (CoRR, 2022)

Exploring the necessity of mosaicking for underwater imagery semantic segmentation using deep learning. - Kazimieras Buskus; Evaldas Vaiciukynas; Saule Medelyte; Andrius Siaulys (J. WSCG, 2022)

Chatbots Scenarios for Education. - Sirje Virkus; Henrique São Mamede; Vítor Jorge Ramos Rocio; Jochen Dickel; Olga Zubikova; Rita Butkiene; Evaldas Vaiciukynas; Lina Ceponiene; Daina Gudoniene (ICIST, 2023)

A Case Study on Big Data Course Design and Implementation. - Rita Butkiene; Daina Gudoniene; Evaldas Vaiciukynas; Lina Ceponiene; Vítor Jorge Ramos Rocio; Jochen Dickel; Sirje Virkus (ICIST, 2024)

Exploring classical machine learning for identification of pathological lung auscultations. - Haroldas Razvadauskas; Evaldas Vaiciukynas; Kazimieras Buskus; Lukas Arlauskas; Slawomir Nowaczyk; Saulius Sadauskas; Albinas Naudziunas (Comput. Biol. Medicine, 2024)