DAMSS 2023 posters

Thursday, November 30

15:30–17:00 Poster Session (I)

1. Snieguolė Bagočienė, Anita Juškevičienė “Literature Review on Data Modelling Patterns and Techniques for Educational Data Assessment” (ID I-1; PDF)
2. Santa Bartušēvica, Jurģis Šķilters, Solvita Umbraško, Līga Zariņa, Laura Zeļģe, Agnese Anna Pasare, Ardis Platkājis, Jānis Mednieks, Aleksejs Ševčenko, Nauris Zdanovskis, Artūrs Šilovs, Edgars Naudiņš “Development of an Integrative Approach to the Assessment of Cognitive Abilities in Patients With Neurodegenerative Diseases of the Central Nervous System”(ID I-2; PDF)
3. Antanas Bendoraitis, Tomas Blažauskas, Eglė Butkevičiūtė “Comparison of Big Data Storage Solutions With the Hybrid Blockchain Architecture” (ID I-3; PDF)
4. Algirdas Benetis, Vytautas Valaitis “Similarity Metrics for Cartographic Sentinel-2 Multispectral Imagery Comparison”(ID I-4; PDF)
5. Dalia Breskuvienė, Gintautas Dzemyda “What Is a Concept Drift, and Does It Affect Machine Learning Performance?” (ID I-5; PDF)
6. Laurynas Buinauskas, Aušra Gadeikytė, Eglė Butkevičiūtė “Classification of Satellite Images to Create a Map of the Settlement Area” (ID I-6; PDF)
7. Arnoldas Budžys, Olga Kurasova, Viktor Medvedev “Insider Threat Detection: A New Keystroke Dynamics-Based Approach to User Authentication in Critical Infrastructure”(ID I-7; PDF)
8. Karina Čiurlienė “Adaptive Mapping of Cybersecurity Competence Assessment Methods”(ID I-8; PDF)
9. Juozas Dautartas , Arnoldas Budžys, Viktor Medvedev “Obfuscation and Evasion Techniques for Red Team Assessments”(ID I-9; PDF)
10. Martynas Dumpis , Dalius Navakauskas “Comparative Analysis of Eleven Dynamic Artificial Neural Networks”(ID I-10; PDF)
11. Rasa Erentaitė, Rimantas Vosylis, Daiva Sevalneva, Eglė Melnikė, Vaidas Morkevičius, Giedrius Žvaliauskas, Berita Simonaitienė, Monika Zdanavičiūtė, Anton Volčok, Tomas Krilavičius “Development of the NO-GAP Educational Analytics Tool: Evaluating Disparities in Academic Achievements Among Lithuanian Students”(ID I-11; PDF)
12. Melita Frolovaitė, Elise Manon Marie Lebon, Tomas Ruzgas “Evolutionary Model for Non-coding Nucleotide Sequences" ”(ID I-12; PDF)
13. Dace Šostaka, Juris Borzovs, Jānis Zuters “Would It Be Possible to Optimise the Secondary ICT Term Creation in Latvian?”(ID I-13; PDF)

Friday, December 1

10:00–11:00 Poster Session (II)

1. Ervinas Gisleris, Artūras Serackis “Evaluating End-to-End and Multi-Stage 3D Model Generation With 3D Morphable Models: A Comparative Study on Eyeglasses Frames” (ID II-1; PDF)
2. Gabrielė Jenciūtė, Gabrielė Kasputytė, Nerijus Šakinis, Paulius Savickas, Inesa Bunevičienė, Erika Korobeinikova, Domas Vaitiekus, Arturas Inčiūra, Laimonas Jaruševičius, Ričardas Krikštolaitis, Tomas Krilavičius, Elona Juozaitytė, Adomas Bunevičius “The Use of Smartphone Data in Symptom Identification for Patients With Cancer” (ID II-2; PDF)
3. Dominykas Kaminskas, Vytautas Valaitis “Aerial Image Similarity Estimation Using Cloud Removal Methods” (ID II-3; PDF)
4. Gintarė Klimantavičiūtė, Rūta Levulienė “Comparative Analysis of Homogeneity Tests for Censored Samples Under Crossing of Survival Functions" (ID II-4; PDF)
5. Rima Kriauzienė, Andrej Bugajev “Constructing Production Planning Tasks: A Case Study of “Teltonika”” (ID II-5; PDF)
6. António Iglesias, Tatiana Tchemisova “A Comparative Study of Mathematical Models for Aircraft Deconfliction Problem” (ID II-6; PDF)
7. Algimantas Kriščiukaitis, Robertas Petrolis, Rugilė Dragunaitė, Rytis Stakaitis, Daina Skiriutė “Challenges in the Next Generation (Oxford Nanopore) direct RNA Sequencing (dRNA-seq) Data Processing: Coping With Normalisation of Gene Expression Levels by Principal Component Analysis” (ID II-7; PDF)
8. Lukas Kuzma, Martynas Sabaliauskas, Igoris Belovas “Visualization of Zetabulbs: Mandelbulbs Associated With the Riemann Zeta Function” (ID II-8; PDF)
9. Tautvydas Kvietkauskas, Ernest Pavlov, Pavel Stefanovič “Efficiency of YOLOv5 Models in the Detection of Construction Details” (ID II-9; PDF)
10. Algirdas Lančinskas, Julius Žilinskas, Pascual Fernández, Blas Pelegrín “Population-Based Algorithm for Discrete Facility Location With Ranking of Candidate Locations” (ID II-10; PDF)
11. Linas Litvinas “A Hybrid of Bayesian-Based Global Search With Hooke–Jeeves Local Refinement for Multi-Objective Optimization Problems”(ID II-11; PDF)
12. Gita Maliukaitė, Mantas Vaitonis “Cryptocurrency Price Prediction Model Development Using Machine Learning Algorithms”(ID II-12; PDF)
13. Karolina Mėlinytė-Ankudavičė, Marius Šukys, Gabrielė Kasputytė, Ričardas Krikštolaitis, Paulius Savickas, Eglė Ereminienė, Grytė Galnaitienė, Vaida Mizarienė, Gintarė Šakalytė, Tomas Krilavičius, Renaldas Jurkevičius “Association of Genetic Variants With Myocardial Mechanics and Morphometry in Patients With Nonischemic Dilated Cardiomyopathy” (ID II-13; PDF)
14. Jolanta Miliauskaitė, Diana Kalibatienė, Asta Slotkienė “A Causality Space Model of the Web Service Quality Based on Fuzzy Theory” (ID II-14; PDF)
15. Gintautas Mozgeris, Arnas Matusevičius, Gabrielė Kasputytė, Ljusk Ola Eriksson, Tomas Krilavičius, Laimonas Butkus “Development of a Modern Forest Decision Support System for Lithuania: Simulation or Optimisation?” (ID II-15; PDF)
16. Mindaugas Kepalas, Julius Žilinskas “Minimum-Sum-Of-Squares Clustering With (Net) Constraints for Cluster-Centres”(ID II-16; PDF)

Friday, December 1

11:20–12:20 Poster Session (III)

1. Gajane Mikalkėnienė, Jolita Bernatavičienė “Machine Learning Approaches for the Analysis of Functional Brain Connectivity Patterns in Depression”(ID III-1; PDF)
2. Gediminas Navickas, Gražina Korvel “UniDive – Universality, Diversity and Idiosyncrasy in Language Technology” (ID III-2; PDF)
3. Ugnė Orinaitė, Minvydas Ragulskis “Railway Track Vibration Analysis and Complexity Assessment Based on H-ranks” (ID III-3; PDF)
4. Tomasz Piernicki, Gražina Korvel, Bożena Kostek “Acquiring Knowledge for Mimicking Dysarthric Speech by Incorporating Its Features into Synthetic Speech”(ID III-4; PDF)
5. Birutė Pliuskuvienė, Urtė Radvilaitė, Pavel Stefanovič, Simona Ramanauskaitė “Machine Learning-Based ChatGPT Usage Detection in Open-Ended Question Answers”(ID III-5; PDF)
6. Olesia Pozdniakova, Dalius Mažeika “Performance-Based SLO Recovery for Containerized Applications”(ID III-6; PDF)
7. Edita Mažonienė, Mantas Kundrotas, Dmitrij Šešok “Automatic Tumor Identification Using Deep Neural Network”(ID III-7; PDF)
8. Jūratė Ragulskienė “Hiding multiple images in coupled lattices of hyper fractional maps”(ID III-8; PDF)
9. Justina Ramonaitė, Pooja Gore, Gražina Korvel, Gintautas Tamulevičius “Investigation of Speech Signal Processing Parameters in Wave-U-Net Source Separation” (ID III-9; PDF)
10. Laura Ringienė, Gabrielė Stupurienė, Rita Dukynaitė, Rimantas Želvys, Audronė Jakaitienė “Is a Decline in Reading Achievement Due to a Low Level of SES? Is It (Im)possible?(ID III-10; PDF)
11. Tomas Ruzgas, Kristina Pupalaigė “Kernel Density Estimator by Minimizing Bias”(ID III-11; PDF)
12. Darius Sabaliauskas, Jolanta Miliauskaitė “Contemporary Approaches to Investment Portfolio Decision-Making”(ID III-12; PDF)
13. Virgilijus Sakalauskas, Dalia Krikščiūnienė “Customer Segmentation for Personalised E- Commerce Advertising Campaigns”(ID III-13; PDF)

Friday, December 1

15:30–17:30 Poster Session (IV)

1. Asta Slotkienė, Augustas Mikulėnas “Reinforcement Learning Based Model for Personalising the Picture Exchange Communication System”(ID IV-1; PDF)
2. Milita Songailaitė, Justina Mandravickaitė, Justinas Juozas Dainauskas “Using Deep Learning and Visual Analytics to Investigate Hate Speech Patterns in Lithuanian Politics”(ID IV-2; PDF)
3. Milita Songailaitė, Justina Mandravickaitė, Eglė Rimkienė, Anton Volčok, Tomas Krilavičius “Deep learning approaches to detect disinformation across news platforms and social media”(ID IV-3; PDF)
4. Aušra Šubonienė, Olga Kurasova, Gintautas Dzemyda, Viktor Medvedev, Aistė Gulla, Artūras Samuilis, Džiugas Jagminas, Kęstutis Strupas “Detection of Pancreatic Cancer on CT Images Using Pseudo-labelling Methods”(ID IV-4; PDF)
5. Kristupas Takšelis, Liepa Bikulčienė, Eglė Butkevičiūtė “Automated Hypertension Detection Using Convolutional Neural Networks”(ID IV-5; PDF)
6. Steponas Tolomanovas, Jolita Bernatavičienė, Povilas Treigys “Comparative Analysis of Clinical Decision Support Systems for Eye Fundus Images”(ID IV-6; PDF)
7. Ilona Veitaitė, Audrius Lopata, Saulius Gudas “Financial Data Anomaly Detection Through Behavioral Change Indicators”(ID IV-7; PDF)
8. Julius Venskus, Robertas Jurkus, Povilas Treigys “Confidence and Prediction Intervals Usage in Maritime Traffic Awareness Evaluation Using LSTM Deep Neural Networks”(ID IV-8; PDF)
9. Akvilė Vitkauskaitė, Andrius Čiginas “Evaluation of Consumer Confidence Indicators Using Social Media and Administrative Data”(ID IV-9; PDF)
10. Eimantas Zaranka, Bohdan Zhyhun, Milita Songailaitė, Rūta Juozaitienė, Tomas Krilavičius “Customer Churn Prediction in the Software as a Service Industry”(ID IV-10; PDF)
11. Liga Zarina, Jurģis Šķilters, Solvita Umbraško, Santa Bartušēvica “Effects of Interface Layout Structure on Usability and Content Comprehension”(ID IV-11; PDF)
12. Monika Zdanavičiūtė, Marco Scholtz, Kaat De Ridder, Tomas Krilavičius “Examining the Link Between Intangible Cultural Heritage and Tourism through Correlational Analysis”(ID IV-12; PDF)
13. Bohdan Zhyhun, Justina Mandravickaitė “Development and Evaluation of a Tool for the Retrieval of Semantically Related Words for Lithuanian Language”(ID IV-13; PDF)