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”(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)

Information for authors and visitors of virtual posters

A chat room has been created for virtual poster presentations in the Teams environment.

Its web link is: http://bit.ly/3TYzKoR

Its QR code:

Authors of virtual poster presentations must be logged in to this room at all times during their session, as scheduled in the conference programme: https://www.mii.lt/damss/index.php/program/posters
Visitors to the poster session can log in to the chat room at any time and discuss with the authors of virtual posters during their session as scheduled in the conference programme. Visitors are advised to use their mobile devices and connect via QR code. However, the online link to the room also works.

Poster sessions will provide an opportunity for the authors to display the results and conclusions of the presented researchers. The poster will be exhibited during the conference.

The recommended paper size of posters is A1 (84.1 cm x 59.4 cm.), language is English.
We do not plan a special session for virtual presentations at DAMSS. Also, there will be an opportunity for speakers who cannot attend to present their posters.  If a speaker is unable to attend, he/she must send a 5-minute recording of his/her presentation as well as a pdf file of the poster in A1 format. A poster of the presentation will be printed and hung in the DAMSS poster room. A video of the presentation will be posted on the DAMSS website for conference participants to access the research.