DAMSS 2024 posters

Thursday, November 28

14:30–15:30 Poster Session (I) (Room B)

1. Simran Kaur Hora, Antanas Čenys, Nikolaj Goranin “Advanced Ensemble Techniques for IoT Cybersecurity: A Performance Comparison on the CICIoT2023 Dataset”(ID I-1; PDF)
2. Mindaugas Jankauskas, Artūras Serackis “Integration of Wind Power Generation and Nord Pool Electricity Market Data”(ID I-2; PDF)
3. Julius Jancevičius, Diana Kalibatienė “Application of Image Recognition Methods to Determine Land Use Classes: Lithuanian Case Study” (ID I-3; PDF)
4. Oskaras Klimašauskas “Applying Reinforcement Learning to Successfully Drive a Car Around a Track”(ID I-4; PDF)
5. Dalia Kriksciuniene, Virgilijus Sakalauskas “Evaluating ML Binary Classification for Predicting Stroke-Related Mortality” (ID I-5; PDF)
6. Dalius Matuzevičius, Henrikas Giedra “Benchmarking Synthetic Data Generation Approaches for Eyeglasses Detection Algorithms Development” (ID I-6; PDF)
7. Darius Sabaliauskas “Analysis of the Concept of Reasoning” (ID I-7; PDF)
8. Milita Songailaitė, Justina Mandravickaitė, Eglė Rimkienė, Mindaugas Petkevičius, Eimantas Zaranka, Tomas Krilavičius “Hate Speech Detection for Lithuanian Language”(ID I-8; PDF)
9. Dace Šostaka, Kārlis Sondors, Juris Borzovs, Jānis Zuters “Information Retrieval Tool for Secondary Term Creating: Preliminary Results”(ID I-9; PDF)
10. Mantas Šutas, Eimutis Karčiauskas, Eglė Butkevičiūtė “Automated Coin Classification Using Transformer-Based Deep Learning Models”(ID I-10; PDF)
11. Dominykas Vilčinskas, Lukas Voveris, Jolita Bernatavičienė “Fault Detection In Solar Power Plants Using Energy Production Data”(ID I-11; PDF)
12. Gabriela Vdoviak, Tomyslav Sledevič “Enhancing Keypoint Detection in Thermal Images through Loss Function Optimisation and Model Evaluation”(ID I-12; PDF)
13. Dovydas Marius Zapkus, Asta Slotkienė “Quality Assessment of LLM Models Generated Unit Tests: Quality Metrics Completeness from Code-Aware Perspective”(ID I-13; PDF)
14. Rytis Petrauskas, Renaldas Urniezius, Karolis Mickevicius, Ignas Kristutis, Paulius Obolevicius “The Hybrid Model Optimization of the Chiller Infrastructure and Its Preliminary Experimental Results”(ID I-14; PDF)
15. Eimantas Zaranka, Dovilė Kuizinienė, Tomas Krilavičius “Application of Machine Learning Techniques for Lithuanian Enterprise Clustering”(ID I-15; PDF)

Thursday, November 28

16:30–18:00 Poster Session (II) (Room B)

1. Danylo Abramov, Eimantas Zaranka, Monika Zdanavičiūtė, Nerijus Šakinis, Tomas Krilavičius “Order in Document Chaos: Logistics Documents Classification”(ID II-1; PDF)
2. Linas Aidokas “The Potential of Humanoid Robots for Children with Autism Spectrum Disorders: a Preliminary Study”(ID II-2; PDF)
3. Kazimieras Bagdonas, Kajus Černiauskas, Dainius Kirsnauskas, Justinas Teselis, Vladyslav Levchenko, Mantvydas Deltuva, Ignas Sabaliauskas “KATH: A Comprehensive Platform for Integrating DNA Analysis Tools, Genetic Databases, and Open-Data Standards in Genetic Research”(ID II-3; PDF)
4. Romas Baronas, Boleslovas Dapkūnas, Remigijus Šimkus “Self-Organization of Bacterial and Human Populations: Same Model, Different Scale”(ID II-4; PDF)
5. Dalia Breskuvienė, Gintautas Dzemyda “Highly Imbalanced Data Case: Pattern-Guided Feature Selection to Detect Financial Fraud”(ID II-5; PDF)
6. Veronika Bryskina, Bohdan Zhyhun, Paulius Savickas, Milita Songailaitė, Tomas Krilavičius “DisinfoDetect: A Dashboard-Driven Solution for Identifying Misinformation in Media”(ID II-6; PDF)
7. Gabrielė Dargė, Gabrielė Kasputytė, Ričardas Krikštolaitis, Tomas Krilavičius, Dovilė Kuizinienė, Adomas Bunevičius “Leveraging Phone Sensors for Early Detection of Symptom Changes in Cancer Patients”(ID II-7; PDF)
8. Sobia Dastgeer, Povilas Treigys “Transforming Black-Box Models into Explainable AI for Breast Cancer Recognition”(ID II-8; PDF)
9. Urtė Deinoravičiūtė, Jurgita Markevičiūtė, Povilas Treigys “Cointegration of Functional Time Series”(ID II-9; PDF)
10. Martynas Dumpis, Dalius Navakauskas “Case Study on Small-Scale Dynamic Neural Networks Explainability”(ID II-10; PDF)
11. Karina Čiurlienė “Analysis of Event and Human Factor-Based Decision-Making in Cybersecurity Exercises Using MCDM”(ID II-11; PDF)
12. Henrikas Giedra, Dalius Matuzevičius “Optimising Deep Vision Models for Eyeglasses Detection in Low-Power Devices”(ID II-12; PDF)
13. Uladzislau Hadalau “Classification of Cardiovascular Diseases Using Machine Learning Methods and PQRST Intervals Segmentation of Electrocardiogram Records from Holter Monitoring”(ID II-13; PDF)
14. Viroslava Kapustynska, Vytautas Abromavičius, Artūras Serackis, Šarūnas Paulikas, Kristina Ryliškienė, Saulius Andruškevičius “Detecting Pre-Migraine Night Patterns with Wearable Biosensors and Machine Learning”(ID II-14; PDF)
15. Faustas Žiliajevas, Justina Ramonaitė, Daniel Zakševski, Gražina Korvel, Gintautas Tamulevičius “Noise Dataset for Deep Learning-Based Speech Enhancement”(ID II-15; PDF)
16. Aidas Žygas, Gražina Korvel “An Overview of the Machine Learning Algorithms Used for Music Source Separation”(ID II-16; PDF)

Friday, November 29

11:20–12:20 Poster Session (III) (Room B)

1. Kęstutis Girnius, Aušra Gadeikytė, Eglė Butkevičiūtė “Enhancing 3D Map Generation from Satellite Imagery Using R-CNN”(ID III-1; PDF)
2. Vytautas Kiudelis, Robertas Petrolis, Rima Ramonaitė, Dainius Jančiauskas, Juozas Kupčinskas, Povilas Šabanas, Algimantas Kriščiukaitis “Identification of Key Areas in Histology Images for Detection of Collagenous Colitis: A Deep Learning Approach”(ID III-2; PDF)
3. Kürşat Kömürcü, Linas Petkevičius “Change Detection in Satellite Imagery Using Transformer Models and Machine Learning Techniques: a Comprehensive Captioning Dataset”(ID III-3; PDF)
4. Eduardas Kutka, Jolita Bernatavičienė “High-Performance Computing in Science”(ID III-4; PDF)
5. Algirdas Lančinskas, Pascual Fernández, Julius Žilinskas “Robust Facility Location Under Uncertainty in Customer Behavior”(ID III-5; PDF)
6. Mindaugas Mačernis, Goda Bankovskaitė, Jonas Franukevičius, Darius Abramavicius “Spectral and Molecular Dynamics Studies of Carotenoids and Stilbene in Complex Systems for Supercomputing”(ID III-6; PDF)
7. Arnas Matusevičius, Gabrielė Kasputytė, Anton Volčok, Martynas Narmontas, Gintautas Mozgeris, Ljusk Ola Eriksson, Tomas Krilavičius “Adapting AI and Tree Growth Models for Sustainable Forestry in Lithuania”(ID III-7; PDF)
8. Kęstutis Pakrijauskas, Dalius Mažeika “Increasing Availability of Low Latency Stateful Microservices”(ID III-8; PDF)
9. Jolanta Miliauskaitė, Diana Kalibatienė, Asta Slotkienė “The Rapid Application Development (RAD) in Digital Transformation Era”(ID III-9; PDF)
10. Tautvydas Naudžiūnas, Guoda Perminaitė, Povilas Treigys “Exploring Techniques for Diffraction Ring Detection in Molecular Research”(ID III-10; PDF)
11. Jonas Mindaugas Rimšelis, Gajane Mikalkėnienė, Jolita Bernatavičienė “Comparative Evaluation of Adjacency Matrix Applications for EEG Signal Classification Tasks”(ID III-11; PDF)
12. Tatiana Tchemisova, Adam Nowak, Anna Laska-Leśniewicz, Tomasz Kopczyński, Jacek Stańdo, Nina Szczygie, Ana Breda, Beatrix Bačová, Mária Kúdelčíková, Michaela Holešová “Virtual Reality Meets Mathematics: Innovative Teaching Modules for Geometry. Challenges and Results of the Math3DgeoVR Project”(ID III-12; PDF)
13. Jolanta Miliauskaitė, Asta Slotkienė, Luis Mendes Gomes “Social Factors Affecting Internal Stakeholders' Perceptions of Software Product Quality Characteristics”(ID III-13; PDF)
14. Brendonas Stakauskas, Virginijus Marcinkevičius “Visualising SARS-CoV-2 Phylogenetic Relationships Using Protein Language Models”(ID III-14; PDF)
15. Stepas Toliautas, Delianas Palinauskas, Laura Baliulytė, Darius Abramavičius “Looking for Simplified Molecular Reaction Coordinates from Computation Data”(ID III-15; PDF)
16. Daniel Zakševski, Gintautas Tamulevičius “Are We Able to Model the Human Auditory System in Speech Signal Enhancement?”(ID III-16; PDF)

Friday, November 29

17:00–18:00 Poster Session (IV) (Room B)

1. Beata Gancevska, Simona Ramanauskaitė “Analysis of Blended Course Quality Metrics: Research, University and Student Perspectives”(ID IV-1; PDF)
2. Javier Navarro, Gloria Ortega, Ester Martín Garzón, Antonio Manuel Puertas “CUDA Implementations for the Acceleration of Microrheology Models”(ID IV-2; PDF)
3. Gediminas Navickas, Gailius Raškinis, Danguolė Mikulėnienė, Vytautas Kardelis, Indrė Makauskaitė, Pijus Kasparaitis, Margarita Beniušė, Laimonas Vėbra, Steponas Tolomanovas, Asta Kazlauskienė, Saulė Milčiuvienė, Gražina Korvel “Development of a Large Lithuanian Speech Corpus for Speech Recognition, Artificial Intelligence, and Other Innovative Language Technologies”(ID IV-3; PDF)
4. Linas Petkevičius “Multi-Source Data Merging of Orthoimagery and Satellite Imagery for Deep Learning”(ID IV-4; PDF)
5. Algirdas Pocius, Tomas Blažauskas, Eglė Butkevičiūtė “Voxel-Based 3D Object Generation from Single Images Using an Enhanced Deep Learning Architecture”(ID IV-5; PDF)
6. Sergej Pokusajev, Pavel Stefanovič “The Analysis of ChatGPT Efficiency for Context Extraction Using Lithuanian News Multi-label Text Dataset”(ID IV-6; PDF)
7. Urtė Radvilaitė, Birutė Pliuskuvienė, Pavel Stefanovič, Simona Ramanauskaitė “Peculiarities of GenAI Usage in Higher Education: Possibilities and Additional Challenges”(ID IV-7; PDF)
8. Jūratė Ragulskienė, Kęstutis Pilkauskas, Paulius Palevičius “The Elastic Slit Membrane: The Concept and the Target Transient Modes”(ID IV-8; PDF)
9. Martynas Sabaliauskas, Igoris Belovas, Rugilė Čepaitytė “Exploring the Distribution of Zeros of the Prime Zeta Function: New Insights Through 3D Visualization and Statistical Analysis”(ID IV-9; PDF)
10. Stefano Sanfilippo, José Juan Hernández Gálvez, Christoph Kändler, José Juan Hernández-Cabrera, José Évora-Gomez, Octavio Roncal Andrés “A Neural Network for Electricity Demand Modeling: El Espino Case”(ID IV-10; PDF)
11. Rokas Štrimaitis, Simona Ramanauskaitė, Pavel Stefanovič “The Analysis of Synthetic Data Application Peculiarities on Time-Series Forecast Model Selection”(ID IV-11; PDF)
12. Tadas Telksnys, Inga Telksnienė, Romas Marcinkevičius, Zenonas Navickas, Minvydas Ragulskis “Constructing Solitary Solutions to Nonlinear Differential Equations Using AI-Assisted Differentiation Operators”(ID IV-12; PDF)
13. Justas Trinkūnas, Roma Puronaitė, Laurent Jacotot, Mike Woodward, Mindaugas Morkūnas “Information System Architecture of the Lithuanian National Biobanking Infrastructure” (ID IV-13; PDF)
14. Ilona Veitaitė, Audrius Lopata, Saulius Gudas “Visual Representations in Financial Process Mining”(ID IV-14; PDF)
15. Julius Venskus, Robertas Jurkus, Povilas Treigys “A Complex Network Approach to Marine Traffic Interaction Modeling: Feature Extraction for Real-Time Traffic Awareness”(ID IV-15; PDF)
16. Eimantas Zaranka, Monika Zdanavičiūtė, Tomas Krilavičius “From Images to Smart Data: Digitization of Logistic Documents”(ID IV-16; PDF)