|
| Date | Title | Author(s) | Type |
| 2013 | A comparison of approaches for sentiment classification on Lithuanian internet comments | Kapočiūtė-Dzikienė, Jurgita; Krupavičius, Algis; Krilavičius, Tomas | research article |
| 2020 | Application of deep learning for lithuanian language technologies | Briedienė, Monika; Krilavičius, Tomas | conference paper |
| 2015 | Application of multiple linear regression for indirect tracking of functional target for respiratory compensation in radiotherapy | Krilavičius, Tomas; Užupytė, Rūta; Žliobaitė, Indrė; Simonavičius, Henrikas | research article |
| 2017 | Automated analysis of the content of selected open access internet sources as a tool for government decision making | Fomin, Vladislav V; Krilavičius, Tomas; Mickevičius, Vytautas; Vitkutė-Adžgauskienė, Daiva; Mackutė-Varoneckienė, Aušra; Valterytė, Rita; Tauginas, Tomas; Veršinskas, Dominykas; Veršinskienė, Egidija; Bružė, Evaldas | research article |
| 2015 | Automatic classification of Lithuanian Parliament bills | Mackutė-Varoneckienė, Aušra; Krilavičius, Tomas; Man, Ka Lok | conference paper |
| 2020 | Automatic content analysis of social media short texts: scoping review of methods and tools | Kasperiūnienė, Judita; Briedienė, Monika; Žydžiūnaitė, Vilma | research article |
| 2015 | Automatic thematic classification of the titles of the Seimas votes | Mickevičius, Vytautas; Krilavičius, Tomas; Morkevičius, Vaidas; Mackutė-Varoneckienė, Aušra | research article |
| 2015 | Classification of short legal Lithuanian texts | Mickevičius, Vytautas; Krilavičius, Tomas; Morkevičius, Vaidas | research article |
| 2013 | Correlation of external markers and functional targets for respiration compensation in radiotherapy | Krilavičius, Tomas; Užupytė, Rūta; Žliobytė, Indrė; Simonavičius, Henrikas | research article |
| 2020 | Current state of the art of AI computing, IoT and Big Data technologies | Man, Ka Lok; Krilavičius, Tomas; Park, Sangoh | conference paper |
| 2018 | Detecting information-dense texts: towards an automated analysis | Kalinauskaitė, Danguolė | research article |
| 2020 | Development and research in Lithuanian language technologies (2016-2020) | Utka, Andrius; Vaičenonienė, Jurgita; Briedienė, Monika; Krilavičius, Tomas | research article |
| 2014 | Empirical study on unsupervised feature selection for document clustering | Mackutė-Varoneckienė, Aušra; Krilavičius, Tomas | research article |
| 2016 | An exploratory enalysis of the relation between metabolic syndrome factors and microRNA data | Užupytė, Rūta; Krilavičius, Tomas; Navickas, R; Šatrauskienė, A | conference paper |
| 2020 | Fraudulent behaviour identification in ethereum blockchain | Lašas, Karolis; Kasputytė, Gabrielė; Užupytė, Rūta; Krilavičius, Tomas | research article |
| 2018 | The Generation of electricity load profiles using K-means clustering algorithm | Užupytė, Rūta; Babarskis, Tomas; Krilavičius, Tomas | research article |
| 2015 | Indirect tracking of functional target for respiration compensation in radiotherapy | Užupytė, Rūta; Man, Ka Lok; Krilavičius, Tomas; Žliobaitė, Indrė; Simonavičius, Henrikas | research article |
| 2020 | Logistics service provider selection using TOPSIS and VIKOR methods | Servaitė, Dovilė; Užupytė, Rūta; Krilavičius, Tomas | research article |
| 2020 | Methodology for determining the informativity of Lithuanian texts | Kalinauskaitė, Danguolė; Krilavičius, Tomas | research article |
| 2021 | Mir-1, miR-122, miR-132, and miR-133 are related to subclinical aortic atherosclerosis associated with metabolic syndrome | Šatrauskienė, Agnė; Navickas, Rokas; Laucevičius, Aleksandras; Krilavičius, Tomas; Užupytė, Rūta; Zdanytė, Monika; Ryliškytė, Ligita; Jucevičienė, Agnė; Holvoet, Paul | research article |
