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2020 – today
- 2024
[j18]Dovile Kuiziniene
, Paulius Savickas, Rimante Kunickaite, Ruta Juozaitiene, Robertas Damasevicius, Rytis Maskeliunas, Tomas Krilavicius:
A comparative study of feature selection and feature extraction methods for financial distress identification. PeerJ Comput. Sci. 10: e1956 (2024)- [e16]Tomas Krilavicius, Audrius Lopata, Ilona Veitaite, Marcin Wozniak, Christian Napoli, Danguole Kalinauskaite:
Proceedings of the 27th International Conference on Information Society and University Studies (IVUS 2022), Kaunas, Lithuania, May 12, 2022. CEUR Workshop Proceedings 3611, CEUR-WS.org 2024 [contents] - [e15]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14941, Springer 2024, ISBN 978-3-031-70340-9 [contents] - [e14]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14942, Springer 2024, ISBN 978-3-031-70343-0 [contents] - [e13]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14943, Springer 2024, ISBN 978-3-031-70351-5 [contents] - [e12]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14944, Springer 2024, ISBN 978-3-031-70358-4 [contents] - [e11]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14945, Springer 2024, ISBN 978-3-031-70361-4 [contents] - [e10]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14946, Springer 2024, ISBN 978-3-031-70364-5 [contents] - [e9]Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 14947, Springer 2024, ISBN 978-3-031-70367-6 [contents] - [e8]Albert Bifet, Povilas Daniusis, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Kai Puolamäki, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 14948, Springer 2024, ISBN 978-3-031-70370-6 [contents] - [e7]Albert Bifet, Tomas Krilavicius, Ioanna Miliou, Slawomir Nowaczyk:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 14949, Springer 2024, ISBN 978-3-031-70377-5 [contents] - [e6]Albert Bifet, Tomas Krilavicius, Ioanna Miliou, Slawomir Nowaczyk:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part X. Lecture Notes in Computer Science 14950, Springer 2024, ISBN 978-3-031-70380-5 [contents] - 2023
- [j17]Tomaz Erjavec, Maciej Ogrodniczuk, Petya Osenova, Nikola Ljubesic, Kiril Simov, Andrej Pancur, Michal Rudolf, Matyás Kopp, Starkaður Barkarson, Steinþór Steingrímsson, Çagri Çöltekin, Jesse de Does, Katrien Depuydt, Tommaso Agnoloni, Giulia Venturi, María Calzada Pérez, Luciana D. de Macedo, Costanza Navarretta, Giancarlo Luxardo, Matthew Coole, Paul Rayson, Vaidas Morkevicius, Tomas Krilavicius, Roberts Dargis, Orsolya Ring, Ruben van Heusden, Maarten Marx, Darja Fiser:
The ParlaMint corpora of parliamentary proceedings. Lang. Resour. Evaluation 57(1): 415-448 (2023) - [c45]Dovile Kuiziniene, Paulius Savickas, Tomas Krilavicius:
Autoencoder as Feature Extraction Technique for Financial Distress Classification. ICIST 2023: 71-86 - [c44]Justina Mandravickaite, Milita Songailaite, Egle Kankeviciute, Anton Volcok, Tomas Krilavicius:
Disinformation Analysis and Tracking Dashboard. ICMCIS 2023: 1-6 - [c43]Eimantas Zaranka, Dmytro Klepachevskyi, Bohdan Krushelnytskyi, Tomas Krilavicius:
A Framework for Microbusiness Density Forecasting. IVUS 2023: 1-10 - [e5]Audrius Lopata, Tomas Krilavicius, Ilona Veitaite, Alicia García-Holgado:
Proceedings of the 28th International Conference on Information Society and University Studies (IVUS 2023), Kaunas, Lithuania, May 12, 2023. CEUR Workshop Proceedings 3575, CEUR-WS.org 2023 [contents] - 2022
- [j16]Dovile Kuiziniene, Tomas Krilavicius, Robertas Damasevicius, Rytis Maskeliunas:
Systematic Review of Financial Distress Identification using Artificial Intelligence Methods. Appl. Artif. Intell. 36(1) (2022) - [j15]Audrius Kulikajevas, Rytis Maskeliunas, Robertas Damasevicius, Tomas Krilavicius:
Auto-Refining 3D Mesh Reconstruction Algorithm From Limited Angle Depth Data. IEEE Access 10: 87083-87098 (2022) - [j14]Justina Mandravickaite, Milita Songailaite, Veronika Gvozdovaite, Danguole Kalinauskaite, Tomas Krilavicius:
Towards Synthetic Social Media Data. Balt. J. Mod. Comput. 10(3) (2022) - [j13]Danny Buchman, Michail Drozdov, Tomas Krilavicius, Rytis Maskeliunas, Robertas Damasevicius:
Pedestrian and Animal Recognition Using Doppler Radar Signature and Deep Learning. Sensors 22(9): 3456 (2022) - [c42]Gabriele Kasputyte, Arnas Matusevicius, Tomas Krilavicius:
Aplication of machine learning for improving contemporary ETA forecasting. IVUS 2022: 83-91 - [c41]Monika Zdanaviciute, Ruta Juozaitiene, Tomas Krilavicius:
Telecommunication customer churn prediction using machine learning methods. IVUS 2022: 92-98 - [c40]Milita Songailaite, Tomas Krilavicius:
Machine learning methods for content-based music recommendation systems. IVUS 2022: 99-105 - [c39]Paulius Savickas, Dovile Kuiziniene, Mantas Bugarevicius, Zilvinas Kybartas, Tomas Krilavicius:
Can merged datasets help in training money laundering detection models? IVUS 2022: 111-116 - [c38]Egle Kankeviciute, Milita Songailaite, Justina Mandravickaite, Danguole Kalinauskaite, Tomas Krilavicius:
A comparison of deep learning models for hate speech detection. IVUS 2022: 117-123 - [i2]Lukas Stankevicius, Mantas Lukosevicius, Jurgita Kapociute-Dzikiene, Monika Briediene, Tomas Krilavicius:
Correcting diacritics and typos with ByT5 transformer model. CoRR abs/2201.13242 (2022) - 2021
- [j12]Malgorzata Wasilewska, Adrian Kliks, Hanna Bogucka, Krzysztof Cichon, Julius Ruseckas, Gediminas Molis, Ausra Mackute-Varoneckiene, Tomas Krilavicius:
Artificial Intelligence for Radio Communication Context-Awareness. IEEE Access 9: 144820-144856 (2021) - [j11]Ahmed Mohamed Helmi, Mohammed Abdulaziz Aide Al-qaness, Abdelghani Dahou, Robertas Damasevicius, Tomas Krilavicius, Mohamed Abd El Aziz:
A Novel Hybrid Gradient-Based Optimizer and Grey Wolf Optimizer Feature Selection Method for Human Activity Recognition Using Smartphone Sensors. Entropy 23(8): 1065 (2021) - [j10]Viktorija Valiuskaite, Vidas Raudonis, Rytis Maskeliunas, Robertas Damasevicius, Tomas Krilavicius:
Deep Learning Based Evaluation of Spermatozoid Motility for Artificial Insemination. Sensors 21(1): 72 (2021) - [c37]Rimante Kunickaite, Austeja Brazinskaite, Ignas Saltis, Tomas Krilavicius:
Machine Learning Approaches for Customs Fraud Detection. IVUS 2021: 54-63 - [c36]Milita Songailaite, Tomas Krilavicius:
Synthetic Call Detail Records Generator. IVUS 2021: 102-111 - [c35]Vytautas Valentinavicius, Monika Briediene, Vaidas Morkevicius, Giedrius Zvaliauskas, Tomas Krilavicius:
Evolution of the Political Agenda during the COVID-19 Pandemic: Analysis of the Seimas Debates Transcripts. IVUS 2021: 158-166 - [e4]Ilona Veitaite, Audrius Lopata, Tomas Krilavicius, Marcin Wozniak:
Proceedings of the 26th International Conference on Information Society and University Studies (IVUS 2021), Kaunas, Lithuania, April 23, 2021. CEUR Workshop Proceedings 2915, CEUR-WS.org 2021 [contents] - 2020
- [j9]Andrius Lauraitis, Rytis Maskeliunas, Robertas Damasevicius, Tomas Krilavicius:
Detection of Speech Impairments Using Cepstrum, Auditory Spectrogram and Wavelet Time Scattering Domain Features. IEEE Access 8: 96162-96172 (2020) - [j8]Andrius Lauraitis, Rytis Maskeliunas, Robertas Damasevicius, Tomas Krilavicius:
A Mobile Application for Smart Computer-Aided Self-Administered Testing of Cognition, Speech, and Motor Impairment. Sensors 20(11): 3236 (2020) - [c34]Justina Mandravickaite, Tomas Krilavicius:
Similarities and Differences of Lithuanian Functional Styles: A Quantitative Perspective. Baltic HLT 2020: 27-31 - [c33]Andrius Utka, Jurgita Vaicenoniene, Monika Briediene, Tomas Krilavicius:
Development and Research in Lithuanian Language Technologies (2016-2020). Baltic HLT 2020: 215-222 - [c32]Dovile Kuiziniene, Tomas Krilavicius:
Deep Learning Methods Application in Finance: A Review of State of Art. IVUS 2020: 59-69 - [c31]Rimante Kunickaite, Monika Zdanaviciute, Tomas Krilavicius:
Fraud Detection in Health Insurance Using Ensemble Learning Methods. IVUS 2020: 70-77 - [c30]Karolis Lasas, Gabriele Kasputyte, Ruta Uzupyte, Tomas Krilavicius:
Fraudulent Behaviour Identification in Ethereum Blockchain. IVUS 2020: 78-85 - [c29]Dovile Servaite, Ruta Uzupyte, Tomas Krilavicius:
Logistics service provider selection using TOPSIS and VIKOR methods. IVUS 2020: 86-91 - [c28]Danny Buchman, Michail Drozdov, Ausra Mackute-Varoneckiene, Tomas Krilavicius:
Visual and Radar Sensor Fusion for Perimeter Protection and Homeland Security on Edge. IVUS 2020: 92-105 - [c27]Justina Mandravickaite, Monika Briediene, Jonas Uus, Tomas Krilavicius:
What's in the News? Identification of Trending Topics in Alternative and Mainstream Lithuanian Media. TWSDetection 2020: 3-17 - [e3]Audrius Lopata, Vilma Sukacke, Tomas Krilavicius, Ilona Veitaite, Marcin Wozniak:
Proceedings of the Information Society and University Studies 2020, Kaunas, Lithuania, April 23, 2020. CEUR Workshop Proceedings 2698, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j7]Giedrius Vanagas, Tomas Krilavicius, Ka Lok Man:
Mathematical Modeling and Models for Optimal Decision-Making in Health Care. Comput. Math. Methods Medicine 2019: 2945021:1-2945021:4 (2019) - [j6]Minija Tamosiunaite, Mohamad Javad Aein, Jan-Matthias Braun, Tomas Kulvicius, Irena Markievicz, Jurgita Kapociute-Dzikiene, Rita Valteryte, Andrei Haidu, Dimitrios Chrysostomou, Barry Ridge, Tomas Krilavicius, Daiva Vitkute-Adzgauskiene, Michael Beetz, Ole Madsen, Ales Ude, Norbert Krüger, Florentin Wörgötter:
Cut & recombine: reuse of robot action components based on simple language instructions. Int. J. Robotics Res. 38(10-11) (2019) - [c26]Edgaras Sciglinskas, Aurimas Maciukas, Ausra Vidugiriene, Tomas Krilavicius:
Investigation on the Dependencies Between HRV, Physical Training, and Focus of Attention in Virtual Environment. ICIST 2019: 529-540 - [c25]Julius Ruseckas, Gediminas Molis, Ausra Mackute-Varoneckiene, Tomas Krilavicius:
Multi-carrier Signal Detection using Convolutional Neural Networks. ISOCC 2019: 190-191 - [c24]Dovile Kuiziniene, Ausra Varoneckiene, Tomas Krilavicius:
Cryptocurrencies short-term forecast: application of ARIMA, GARCH and SVR models. IVUS 2019: 70-73 - [c23]Rasa Kasperiene, Tomas Krilavicius:
Content analysis methods for estimating the dynamics of Facebook groups. IVUS 2019: 74-79 - [c22]Jonas Uus, Tomas Krilavicius:
Detection of different types of vehicles from aerial imagery. IVUS 2019: 80-85 - [c21]Monika Briediene, Valdas Kilpys, Tomas Krilavicius:
Media analysis that reflects the spread of anti-Christian opinion. IVUS 2019: 125-129 - [e2]Robertas Damasevicius, Tomas Krilavicius, Audrius Lopata, Dawid Polap, Marcin Wozniak:
Proceedings of the International Conference on Information Technologies, IVUS 2019, Kaunas, Lithuania, April 25, 2019. CEUR Workshop Proceedings 2470, CEUR-WS.org 2019 [contents] - 2018
- [j5]Ausra Mackute-Varoneckiene, Ka Lok Man, Tomas Krilavicius:
Automatic classification of Lithuanian parliament bills. Int. J. Inf. Technol. Manag. 17(1/2): 129-139 (2018) - [j4]Ruta Uzupyte, Tomas Babarskis, Tomas Krilavicius:
The Generation of Electricity Load Profiles Using K-Means Clustering Algorithm. J. Univers. Comput. Sci. 24(9): 1306-1329 (2018) - [e1]Giacomo Capizzi, Robertas Damasevicius, Audrius Lopata, Tomas Krilavicius, Christian Napoli, Marcin Wozniak:
Proceedings of the Symposium for Young Scientists in Technology, Engineering and Mathematics, Gliwice, Poland, May 28, 2018. CEUR Workshop Proceedings 2147, CEUR-WS.org 2018 [contents] - 2017
- [j3]Vladislav V. Fomin, Tomas Krilavicius, Vytautas Mickevicius, Daiva Vitkute-Adzgauskiene, Ausra Mackute-Varoneckiene, Rita Valteryte, Tomas Tauginas, Dominykas Versinskas, Egidija Versinskiene, Evaldas Bruze:
Automated Analysis of the Content of Selected Open Access Internet Sources as a Tool for Government Decision Making. Balt. J. Mod. Comput. 5(3) (2017) - [c20]Justina Mandravickaite, Tomas Krilavicius:
Stylometric Analysis of Parliamentary Speeches: Gender Dimension. BSNLP@EACL 2017: 102-107 - [c19]Irena Markievicz, Minija Tamosiunaite, Daiva Vitkute-Adzgauskiene, Jurgita Kapociute-Dzikiene, Rita Valteryte, Tomas Krilavicius:
Reading Comprehension of Natural Language Instructions by Robots. BDAS 2017: 288-301 - [c18]Justina Mandravickaite, Tomas Krilavicius:
Identification of Multiword Expressions for Latvian and Lithuanian: Hybrid Approach. MWE@EACL 2017: 97-101 - [c17]Ieva Bumbuliene, Justina Mandravickaite, Loïc Boizou, Tomas Krilavicius:
An overview of lithuanian internet media n-gram corpus. SYSTEM 2017: 24-28 - 2016
- [j2]Ka Lok Man, Chi-Un Lei, Hemangee K. Kapoor, Tomas Krilavicius, Jieming Ma, Nan Zhang:
PAFSV: A Formal Framework for Specification and Analysis of SystemVerilog. Comput. Informatics 35(1): 143-176 (2016) - [c16]Tomas Krilavicius, Indre Zliobaite, Henrikas Simonavicius, Laimonas Jarusevicius:
Predicting Respiratory Motion for Real-Time Tumour Tracking in Radiotherapy. CBMS 2016: 7-12 - [c15]Andrius Utka, Darius Amilevicius, Tomas Krilavicius, Daiva Vitkute-Adzgauskiene:
Overview of the Development of Language Resources and Technologies in Lithuania (2012-2015). Baltic HLT 2016: 12-19 - [c14]Justina Mandravickaite, Erika Rimkute, Tomas Krilavicius:
Hybrid Approach for Automatic Identification of Multi-Word Expressions in Lithuanian. Baltic HLT 2016: 153-159 - [c13]Jurgita Kapociute-Dzikiene, Tomas Krilavicius:
Topic Classification Problem Solving for Morphologically Complex Languages. ICIST 2016: 511-524 - [c12]Daiva Vitkute-Adzgauskiene, Andrius Utka, Darius Amilevicius, Tomas Krilavicius:
NLP Infrastructure for the Lithuanian Language. LREC 2016 - 2015
- [c11]Vytautas Mickevicius, Tomas Krilavicius, Vaidas Morkevicius:
Classification of Short Legal Lithuanian Texts. BSNLP@RANLP 2015: 106-111 - [c10]Yuan Xu, Tristan W. Chong, Tomas Krilavicius, Ka Lok Man:
Perceived Benefits, Risks and Trust on Online Shopping Festival. ICIST 2015: 225-235 - [c9]Vytautas Mickevicius, Tomas Krilavicius, Vaidas Morkevicius, Ausra Mackute-Varoneckiene:
Automatic Thematic Classification of the Titles of the Seimas Votes. NODALIDA 2015: 225-231 - [i1]Tomas Krilavicius, Indre Zliobaite, Henrikas Simonavicius, Laimonas Jarusevicius:
Predicting respiratory motion for real-time tumour tracking in radiotherapy. CoRR abs/1508.00749 (2015) - 2014
- [c8]Ausra Mackute-Varoneckiene, Tomas Krilavicius:
Empirical Study on Unsupervised Feature Selection for Document Clustering. Baltic HLT 2014: 107-110 - 2013
- [c7]Jurgita Kapociute-Dzikiene, Algis Krupavicius, Tomas Krilavicius:
A Comparison of Approaches for Sentiment Classification on Lithuanian Internet Comments. BSNLP@ACL 2013: 2-11 - [c6]David Olalekan Afolabi, Ka Lok Man, Hai-Ning Liang, Eng Gee Lim, Zhun Shen, Chi-Un Lei, Tomas Krilavicius, Yue Yang, Lixin Cheng, Vladimir Hahanov, Igor Yemelyanov:
A WSN approach to unmanned aerial surveillance of traffic anomalies: Some challenges and potential solutions. EWDTS 2013: 1-4 - 2012
- [c5]Ka Lok Man, T. O. Ting, Tomas Krilavicius, Kaiyu Wan, C. Chen, J. Chang, Sheung-Hung Poon:
Towards a hybrid approach to SoC estimation for a smart Battery Management System (BMS) and battery supported Cyber-Physical Systems (CPS). BCFIC 2012: 113-116 - [c4]Mouna Karmani, Chiraz Khedhiri, Ka Lok Man, Tomas Krilavicius, Belgacem Hamdi, Amir-Mohammad Rahmani:
A self-test and self-repair approach for analog integrated circuits. BCFIC 2012: 117-120 - [c3]Tomas Krilavicius, Zygimantas Medelis, Jurgita Kapociute-Dzikiene, Tomas Zalandauskas:
News Media Analysis Using Focused Crawl and Natural Language Processing: Case of Lithuanian News Websites. ICIST 2012: 48-61 - 2010
- [c2]Kaiyu Wan, Danny Hughes, Ka Lok Man, Tomas Krilavicius:
Composition challenges and approaches for cyber physical systems. NESEA 2010: 1-7
2000 – 2009
- 2008
- [j1]Tomas Krilavicius, Antanas Zilinskas:
On Structural Analysis of Parliamentarian Voting Data. Informatica 19(3): 377-390 (2008) - 2006
- [b1]Tomas Krilavicius:
Hybrid Techniques for Hybrid Systems. University of Twente, Enschede, Netherlands, 2006 - 2003
- [c1]Rom Langerak, Jan Willem Polderman, Tomas Krilavicius:
Stability Analysis for Hybrid Automata Using Conservative Gains. ADHS 2003: 337-342
Coauthor Index
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