Tomas Krilavičius

Tomas Krilavičius
Vytautas Magnus University · Faculty of Informatics

PhD

About

115
Publications
40,000
Reads
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638
Citations
Citations since 2016
55 Research Items
426 Citations
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2016201720182019202020212022050100150
2016201720182019202020212022050100150
Introduction
Applications of Artificial Intelligence and Language Technologies to solve real-life problems - from medical data analysis to visualization of literature
Additional affiliations
September 2010 - September 2014
Vytautas Magnus University
Position
  • Professor (Associate)
September 2008 - September 2010
Vytautas Magnus University
Position
  • Professor (Assistant)
September 2008 - September 2014
Vytautas Magnus University
Position
  • Professor (Associate)

Publications

Publications (115)
Article
Full-text available
The study presents a systematic review of 232 studies on various aspects of the use of artificial intelligence methods for identification of financial distress (such as bankruptcy or insolvency). We follow the guidelines of the PRISMA methodology for performing the systematic reviews. The study discusses bankruptcy-related financial datasets, data...
Chapter
Full-text available
CLARIN-LT consortium is one of the leading Lithuanian language research and digital data storage infrastructures. This chapter will present outreach and initiatives performed by or in cooperation with the CLARIN-LT consortium and highlight their most significant outcomes. We will first highlight some of the resources stored in the CLARIN-LT reposit...
Article
Full-text available
Pedestrian occurrences in images and videos must be accurately recognized in a number of applications that may improve the quality of human life. Radar can be used to identify pedestrians. When distinct portions of an object move in front of a radar, micro-Doppler signals are produced that may be utilized to identify the object. Using a deep-learni...
Technical Report
Information superiority is one of the primary enablers for military dominance; the exploitation of all relevant information from multiple sources is a key factor for NATO’s information superiority. Visualization and visual analytics research are essential to address the needs of the 2015 NATO targets of emphasis in Information Analysis (IA) & Decis...
Article
Full-text available
Due to the fast pace of life and online communications and the prevalence of English and the QWERTY keyboard, people tend to forgo using diacritics, make typographical errors (typos) when typing in other languages. Restoring diacritics and correcting spelling is important for proper language use and the disambiguation of texts for both humans and d...
Article
Full-text available
This paper presents the ParlaMint corpora containing transcriptions of the sessions of the 17 European national parliaments with half a billion words. The corpora are uniformly encoded, contain rich meta-data about 11 thousand speakers, and are linguistically annotated following the Universal Dependencies formalism and with named entities. Samples...
Article
Full-text available
This survey is an effort to provide a research repository and a useful reference for researchers to guide them when planning to develop new Nature-inspired Algorithms tailored to solve Feature Selection problems (NIAs-FS). We identified and performed a thorough literature review in three main streams of research lines: Feature selection problem, op...
Preprint
Full-text available
Due to the fast pace of life and online communications, the prevalence of English and the QWERTY keyboard, people tend to forgo using diacritics, make typographical errors (typos) when typing. Restoring diacritics and correcting spelling is important for proper language use and disambiguation of texts for both humans and downstream algorithms. Howe...
Article
Full-text available
Despite 3D object reconstruction using a single perspective being a rapidly developing field, the majority of research is focused around a single static object reconstruction from a synthetically generated dataset. This leaves a major knowledge gap when it comes to morphing 3D object reconstruction from an imperfect real world frame. As a solution...
Article
Full-text available
Today, in the border and perimeter protection, it is very common to use RADAR technology and pan-tilt (PT) cameras to have terrain dominance. The common solution uses both sources-while most of the threats are detected by radar, the camera used for inspection of motion, detected by radar. This solution is very dependent on radar performance and not...
Article
Full-text available
This paper surveys Artificial Intelligence (AI) methods for acquiring and managing context-of-operation awareness of radio communication nodes, links, and networks. The meaning and significance of context information and suitability of Machine Learning (ML) methods for the enrichment of context information is discussed. A number of context features...
Article
Full-text available
Human activity recognition (HAR) plays a vital role in different real-world applications such as in tracking elderly activities for elderly care services, in assisted living environments, smart home interactions, healthcare monitoring applications, electronic games, and various human–computer interaction (HCI) applications, and is an essential part...
Article
Full-text available
Oil production forecasting is one of the essential processes for organizations and governments to make necessary economic plans. This paper proposes a novel hybrid intelligence time series model to forecast oil production from two different oil fields in China and Yemen. This model is a modified ANFIS (Adaptive Neuro-Fuzzy Inference System), which...
Article
Full-text available
One of the first signs of Alzheimer’s disease (AD) is mild cognitive impairment (MCI), in which there are small variants of brain changes among the intermediate stages. Although there has been an increase in research into the diagnosis of AD in its early levels of developments lately, brain changes, and their complexity for functional magnetic reso...
Article
Full-text available
Previously, miR-1, miR-122, miR-126, miR-132, miR-133, and miR-370 were found to be related to coronary artery disease (CAD) progression. However, their relationship with subclinical atherosclerosis, especially in subjects with metabolic syndrome, is unknown. Therefore, our aim was to determine their relationship with arterial markers of subclinica...
Chapter
A simple search term entered into any of the widely available search engines will, in no time at all, return a scarcely credible amount of material on almost any topic imaginable. We benefit from these immense and readily available data resources, but we are challenged by how to extract robustly relevant information from this avalanche of data and...
Article
Full-text available
We propose a deep learning method based on the Region Based Convolutional Neural Networks (R-CNN) architecture for the evaluation of sperm head motility in human semen videos. The neural network performs the segmentation of sperm heads, while the proposed central coordinate tracking algorithm allows us to calculate the movement speed of sperm heads...
Chapter
Full-text available
We report an analysis of similarities and differences in terms of selected characteristics of 3 Lithuanian functional styles (FS): administrative, scientific, and publicistic. We combined 8 quantitative indicators and multivariate statistical analysis for this task. We also analyzed tendencies of indicators to be more or less pronounced in particul...
Chapter
The paper presents an overview of the development and research in Lithuanian language technologies for the period 2016–2020. The most significant national and international LT related initiatives, projects, research infrastructures, language resources and tools are discussed. The paper also surveys research production in the field of language techn...
Conference Paper
Application of machine learning and especially deep learning is very important in various natural language processing tasks. Over the years, several important Lithuanian language resources and tools have been developed, which have significantly reduced the gap between the language in question and other European languages [1]. Even though the basic...
Book
The language technology bibliography for Lithuanian language in the period 2016-2020. The resource is in BibTex format and it contains: 1) 91 references of research publications, 2) 15 references of documents and strategies, and 3) 26 references of language resources and tools. The resource is used for the paper: Utka, Andrius, Jurgita Vaičenonienė...
Article
Full-text available
We present a model for digital neural impairment screening and self-assessment, which can evaluate cognitive and motor deficits for patients with symptoms of central nervous system (CNS) disorders, such as mild cognitive impairment (MCI), Parkinson's disease (PD), Huntington's disease (HD), or dementia. The data was collected with an Android mobile...
Article
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We adopt Bidirectional Long Short-Term Memory (BiLSTM) neural network and Wavelet Scattering Transform with Support Vector Machine (WST-SVM) classifier for detecting speech impairments of patients at the early stage of central nervous system disorders (CNSD). The study includes 339 voice samples collected from 15 subjects: 7 patients with early sta...
Conference Paper
It is no longer surprising that internet media is a significant appliance in reflecting and shaping public opinion. Tracking topics dynamics and focus in different media channels is an important tool for opinion-forming mechanisms and process analysis. Information collect, text analytics and Artificial Intelligence tools allows identification of tr...
Book
Skaitmeninis archyvas ir gentinis kritinis leidimas / A Digital Archive and a Scholarly Edition
Chapter
Full-text available
In this study we investigate the dependencies between human focus of attention and heart rate variability while performing concentration task in virtual environment, using attention improvement device, and taking into account daily physical activity of the participants. For this purpose, a virtual testing environment – football arena – was develope...
Article
Human beings can generalize from one action to similar ones. Robots cannot do this and progress concerning information transfer between robotic actions is slow. We have designed a system that performs action generalization for manipulation actions in different scenarios. It relies on an action representation for which we perform code-snippet replac...
Conference Paper
This paper presents an interdisciplinary research on the dissemination of anti-Christian information in Lithuanian media (period: 2016.01.01-2019.01.01). The object of the research is the main directions of expression of anti-Christian verbal aggression. With this study, we analyze the fundamental problem: how to detect and evaluated verbal aggress...
Conference Paper
The paper presents an overview of recent advances of language technologies in Lithuania. It is shown that the development of Lithuanian language resources and technologies can be divided into three stages: the first (2004-2012), the second (2012-2015), and the third (2016-2020). The paper focuses on the second stage of development, which is labelle...
Article
Full-text available
Quantitative methods are becoming more and more important in political science. However, they are not applicable without computers and computer based systems. In this paper we apply natural language technologies, mainly text classification, to categorise bills of the Lithuanian parliament into the predefined groups for further use in voting analysi...
Article
Full-text available
Accurate information about the actual behavior of electricity users is essential to the electricity suppliers in order to ensure efficient decisions in planning pricing, e.g., designing tariffs and load planning. Load profiles of customers is a straightforward source for such data, however it should be analyzed to extract relevant information. Most...
Article
We discuss an experiment on automatic identification of bi-gram multiword expressions (MWE) in parallel Latvian and Lithuanian corpora. Raw corpora, lexical association measures (LAMs) and supervised machine learning (ML) are used due to the scarceness and quality of lexical resources (e.g., POS-tagger, parser) and tools. Combining LAMs with ML wor...
Conference Paper
We address the problem of robots executing instructions written for humans. The goal is to simplify and speed-up the process of robot adaptation to certain tasks, which are described in human language. We propose an approach, where semantic roles are attached to the components of instructions which lead to robotic execution. However, extraction of...
Conference Paper
In this paper we are presenting a topic classification task for the morphologically complex Lithuanian and Russian languages, using popular supervised machine learning techniques. In our research we experimentally investigated two text classification methods and a big variety of feature types covering different levels of abstraction: character, lex...
Article
Full-text available
We develop a process algebraic framework PAFSV for the formal specification and analysis of IEEE 1800™ SystemVerilog designs. The formal semantics of PAFSV is defined by means of deduction rules that associate a time transition system with a PAFSV process. A set of properties of PAFSV is presented for a notion of bisimilarity. PAFSV may be regarded...
Article
The main goal of radiotherapy is to destroy the tumor while minimizing harm to nearby healthy tissue. Advances in the digital control have enabled planning and performing accurate treatments. However, todays technology is unable to compensate respiration induced motion, and therefore, ensure sufficient precision. One of the tasks in compensating re...
Article
Full-text available
Purpose. Radiation therapy is a local treatment aimed at cells in and around a tumor. The goal of this study is to develop an algorithmic solution for predicting the position of a target in 3D in real time, aiming for the short fixed calibration time for each patient at the beginning of the procedure. Accurate predictions of lung tumor motion are e...
Conference Paper
Full-text available
Statistical analysis of parliamentary roll call votes is an important topic in political science as it reveals ideological positions of members of parliament and factions. However, these positions depend on the issues debated and voted upon as well as on attitude towards the governing coalition. Therefore, analysis of carefully selected sets of rol...
Article
Full-text available
The main goal of radiotherapy is to destroy the tumor while minimizing harm to nearby healthy tissue. In order to achieve an effective and accurate treatment, motion of the target, caused by respiration, should be taken into account when positioning the beam. This paper presents a work-in-progress on computational techniques for identifying tumor p...
Article
Full-text available
This article details our research in the use of monocular cameras mounted on moving vehicles such as quadcopter or similar unmanned aerial vehicles (UAV). These cameras are subjected to vibration due to the constant movement experienced by these vehicles and consequently the captured images are often distorted. Our approach uses the Hough transform...
Chapter
We present our work on computing the lower and upper bound prices for multi-asset Bermudan options. For the lower bound price we follow the Longstaff-Schwartz least-square Monte Carlo method. For the upper bound price we follow the Andersen-Broadie duality-based nested simulation procedure. For case studies we computed the prices of Bermudan max-ca...