DAMSS 2022 posters

Thursday, December 1

15:30–17:00 Poster Session (I)

1. L. Aidokas, G. Tamulevičius “Lithuanian Speech in Humanoid Robots” (ID I-1; PDF)
2. K. Bagdonas, A. Venčkauskas “Application of Merkelized Abstract Syntax Trees to the Internet of Things Location-Based Cybersecurity Solutions” (ID I-2; PDF)
3. V. Bejanyan, H. Astsatryan “Exploring PGAS-based Gossiping Algorithms for Knödel Graphs” (online)(ID I-3; PDF)
4. I. Belovas, M. Sabaliauskas, L. Kuzma “Visualisation of 2D Fractal Structures Associated with the Riemann Zeta Function”(ID I-4; PDF)
5. D. Breskuvienė, G. Dzemyda “Autoencoder for Fraudulent Data Feature Engineering”(ID I-5; PDF)
6. M. Briliauskas, V. Marcinkevičius “Problems and Solutions of Autonomous Exploration of Unknown Indoor Environments for Micro Aerial Vehicles With Onboard Stereo Camera”(ID I-6; PDF)
7. A. Budžys, O. Kurasova, V. Medvedev “Intrusion Detection Based on Keystroke Biometrics and Siamese Neural Networks”(ID I-7; PDF)
8. E. Butkevičiūtė, L. Bikulčienė, T. Blažauskas, A. Paulauskas “Training System for Elite Athletes”(ID I-8; PDF)
9. J. Černevičienė, A. Kabašinskas “On Multi-Criteria Decision-Making Methods in Finance Using Explainable Artificial Intelligence”(ID I-9; PDF)
10. K. Čiurlienė, D. Stankevičius “Improving Network Intrusion Detection Applying Hybrid Machine Learning Algorithms”(ID I-10; PDF)
11. B. Dapkūnas, R. Baronas, Ž. Ledas “Influence of Oxygen Consumption Rate Modulation on Bacterial Pattern Formation Models”(ID I-11; PDF)
12. M. Delianidi, K. Diamantaras, I. Moras “Dynamic Knowledge PRediction And eduCaTIonal Content rEcommendation system – DK PRACTICE”(ID I-12; PDF)
13. N. Kwame Gyamfi, N. Goranin, D. Ceponis, A. Čenys “System Call-Based Malware Detection Using Hybrid ML Methods Trained on the AWSCTD Dataset”(ID I-13; PDF)
14. A. Gadeikytė, R. Barauskas “Computational Models of Heat and Mass Transfer in the Textile Structures”(ID I-14; PDF)
15. D. Grendaitė, L. Petkevičius “Algal Bloom Monitoring Using Multi-spectral Satellite Data”(ID I-15; PDF)
16. J. Miliauskaitė, D. Kalibatienė “Comparison of Fuzzy Sets Based on the Concept of Imprecision”(ID I-16; PDF)

Friday, December 2

10:00–11:00 Poster Session (II)

1. K. Jablonskaitė, T. Ruzgas “Evolution of Nucleotide Sequences over Passing Time” (ID II-1; PDF)
2. G. Jenciūtė, G. Kasputytė, A. Bunevičius, R. Bunevičius, Š. Bagdonas, J. Venius, T. Krilavičius “Disease Trajectory Prediction among Cancer Patients” (ID II-2; PDF)
3. R. Juozaitienė, E. C. Wit “Detecting Drivers of First Invasions Using Relational Event Models” (ID II-3; PDF)
4. E. Kankevičiūtė, M. Songailaitė, J. Mandravickaitė, D. Kalinauskaitė, T. Krilavičius “Lithuanian Hate Speech Classification Using Deep Learning Methods”(ID II-4; PDF)
5. G. Kasputytė, A. Matusevičius, T. Krilavičius “Application of Machine Learning for Improving Contemporary ETA Forecasting”(ID II-5; PDF)
6. M. Kepalas, J. Žilinskas “Handling Two-Dimensional Net Constraint: Its Formulation in MIP Terms and Empirical Studies of Solvers”(ID II-6; PDF)
7. G. Korvel, G. Tamulevičius, J. Devenson “Speech Signal Enhancement for Audio Forensics: An Initial Study”(ID II-7; PDF)
8. G. Korvel, A. Katsalis, K. Diamantaras “Enrich Knowledge Graphs and Test Pre-trained Language Models in Graph2seq Tasks” (ID II-8; PDF)
9. O. Kostyukova, T. Tchemisova “Regularisation Algorithms for Conic and Copositive Programming Problems”(ID II-9; PDF)
10. D. Krikščiūnienė, V. Sakalauskas, G. Romeika “Conceptual Framework of Data Science for Good Squad”(ID II-10; PDF.)
11. D. Kuizinienė, T. Krilavičius “Dimensionality Reduction for Financial Distress Detection”(ID II-11; PDF)
12. A. Kurylets, N. Goranin “Threat Modeling in RPA-Based Systems” (online)(ID II-12; PDF)
13. A. Lalayan, H. Astsatryan, G. Giuliani “A Multi-objective Optimisation Algorithm for EO Data Processing Based on Dask Library" (online)(ID II-13; PDF)
14. A. Lančinskas, J. Žilinskas, P. Fernández, B. Pelegrín “Facility Location with Ranking of Location Candidates Using High-Performance Computing Systems”(ID II-14; PDF)
15. M. Lukauskas, V. Pilinkienė, J. Bruneckienė, A. Stundžienė, A. Grybauskas, T. Ruzgas “Big Data Processing System for Lithuania Economic Activity Nowcasting ” (online)(ID II-15; PDF)
16. M. Lukauskas, T. Ruzgas "Data Clustering Based on the Modified Inversion Formula Density Estimation" (online)(ID II-16; PDF)

Friday, December 2

11:20–12:20 Poster Session (III)

1. Tjaša Heričko, Boštjan Šumak “Using Domain-Specific Word Embeddings to Boost Keyword-Based Commit Classification”(ID III-1; PDF)
2. J. Mandravickaitė, E. Kankevičiūtė, M. Songailaitė, B. Zhyhun, D. Kalinauskaitė, T. Krilavičius “Towards Generation of Phishing Texts”(ID III-2; PDF)
3. J. Matuzas, M. Šipelis “Computer Vision for Used Car Parts Recognition”(ID III-3; PDF)
4. D. Mažeika, E. K. Kazlauskas “Extraction of Microservices from Monolithic Software Based on the Database Model”(ID III-4; PDF)
5. M. Motiejauskas, G. Dzemyda “On Recognising Emotion of Sadness in Images of a General Nature Using CNN” (online)(ID III-5; PDF)
6. D. Navakauskas, J. Skirelis, E. Šabanovič, M. Kazlauskas, B. Levitas, I. Naidionova, M. Drozdov, A. Prisiažnyj, M. Kazharov “Application of Convolutional Deep Neural Network for Human Detection in Through the Wall Radar Signals”(ID III-6; PDF)
7. G. Navickas, G. A. Melnik-Leroy “Evaluating Synthesised Speech: the Cognitive Approach”(ID III-7; PDF)
8. K. Noreika, S. Gudas “Agile Application Development Management Using Causal Knowledge”(ID III-8; PDF)
9. M. Petkevičius, D. Vitkutė-Adžgauskienė “Extrinsic Evaluation of Word Embedding Models Using Semisupervised NLP Tasks: the Case of Sentiment Analysis”(ID III-9; PDF)
10. L. Ringienė, A. Jakaitienė “EFECTAS: R Tool for International Large-Scale Assessment Data Analysis”(ID III-10; PDF)
11. I. Rizgelienė, D. Plikynas “Automated Propaganda Detection Using Deep Learning Methods: a Pilot Systematic Review Research”(ID III-11; PDF)
12. P. Savickas, D. Kuizinienė, T. Krilavičius “To Merge or not to Merge Datasets? What Do the Experiments Show?”(ID III-12; PDF)
13. R. Savukynas “Blockchain-Based Security Risk Assessment for Identification and Authentication Method of Internet of Things Objects”(ID III-13; PDF)
14. L. Stripinis, R. Paulavičius, E. Filatovas “A New Genetic Tourist Trip Design Algorithm for a Highly Personalised Globe-trot Traveling Experience”(ID III-14; PDF)
15. S. Virbukaitė, J. Bernatavičienė “Interpolation Methods Impact on Eye Fundus Optic Disc and Optic Cup Segmentation”(ID III-15; PDF)
16. J. Gamper, A. Reklaitė, G. Blažys “A generalised surrogate model selection method for surrogate metrics”(ID III-16;PDF)
17. E. Filatovas, A. Igumenov, V. Medvedev, R. Paulavičius “Transition from Proof-of-Work to Proof-of-Stake Blockchains: Why it Matters More Than Ever?” (ID III-17; PDF)

Friday, December 2

15:30–17:30 Poster Session (IV)

1. L. Aslanyan, K. Gishyan, H. Sahakyan “Target class classification recursion preliminaries” (online)(ID IV-1; PDF)
2. G. Korvel, P. Treigys, B. Kostek “Evaluation of Measures Applied to Monitor the Lombard Speech Signal in the Presence of Noise” (ID IV-2; PDF)
3. U. Orinaitė, J. Ragulskienė “The 1D Wada Index for the Classification of Digital Images of Concrete Cracks”(ID IV-3; PDF)
4. L. Ringienė, S. Raižienė, I. Laukaitytė, A. Jakaitienė “The relation of motivational constructs to reading achievement in EU countries from PISA2018”(ID IV-4; PDF)
5. A. Serackis, M. Jankauskas “Exploring the Limits of Early Predictive Maintenance Applying Anomaly Detection Technique”(ID IV-5; PDF)
6. M. Songailaitė, T. Krilavičius “Recommending Music Using Music Information Retrieval Methods and Deep Learning”(ID IV-6; PDF)
7. M. Songailaitė, J. Mandravickaitė, V. Gvozdovaitė, D. Kalinauskaitė, T. Krilavičius “Fabulator: A Synthetic Social Media Data Generator”(ID IV-7; PDF)
8. R. Surkant, J. Bernatavičienė, J. Markevičiūtė, I. Naruševičiūtė, M. Trakymas, P. Treigys “Signal Relationship Analysis of Prostate mpMRI T2w, DCE, DWI Sequences for Cancer Localization”(ID IV-8; PDF)
9. R. Štrimaitis, P. Stefanovič, S. Ramanauskaitė, A. Slotkienė “Company Recommendation Model: Empowering the Accounting System and Publicly Available Data”(ID IV-9; PDF)
10. G. Tamulevičius, N. Šiupšinskienė, M. Danilovaitė “Acoustic Analysis of Pathologic Voice: What Is Done and What Is Next?”(ID IV-10; PDF)
11. V. Upman, N. Goranin; A. Čenys “Convolutional Neural Network Approach for Anomaly-Based Intrusion Detection on IoT-Enabled Smart Space Orchestration System”(ID IV-11; PDF)
12. M. Vaitonis, K. Korovkinas “High-Frequency Cryptocurrency Trading in the Face of Covid-19”(ID IV-12; PDF)
13. A. Vaitulevičius, J. Bernatavičienė, J. Markevičiūtė, I. Naruševičiūtė, M. Trakymas, P. Treigys “Impact of Timestamp and Segmentation Map Selection for Cancerous Prostate Regions in DCE MRI Classification”(ID IV-13; PDF)
14. V. Veikutis, A. Bubulis, V. Jurenas, J. Vezys, A. Skaudickas, R. Janavicius “Evaluation of Pjezoelectric Bending Actuator-Based Ultrasonic Action to Human Blood Circulatory System Functional Status”(ID IV-14;PDF)
15. J. Venskus, A. Brandišauskienė “Development of NLP and LSTM Networks for Recommendation of Informal Education”(ID IV-15; PDF)
16. D. Vereškaitė, R. Leipus “Asymmetric Univariate and Multivariate Financial Time Series Models and Their Applications”(ID IV-16; PDF)
17. M. Zdanavičiūtė, T. Krilavičius “Optimisation of Electric Vehicles Charging Station”(ID IV-17; PDF)
18. T. Žvirblis, L. Petkevičius, D. Bzinkowski, M. Rucki, A. Kilikevičius “Classification of Industrial Conveyor Load Status Using Rubber Belt Tension and Deep Learning Models”(ID IV-18; PDF)

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