DAMSS 2022 oral presentations

Thursday, December 1

13:00–13:30 Opening. Welcome and Introductory Remarks

  • Gintautas Dzemyda “Data Analysis Methods for Software Systems” (Vilnius University, Institute of Data Science and Digital Technologies)

13:30–15:00 Plenary Session

  • Konstantinos Diamantaras “Natural Language Generation Problems” (International Hellenic University, Greece)
  • Pasi Fränti “Clustering Healthcare Data” (School of Computing, University of Eastern Finland)

15:30–16:30 Oral Session

  • Tjaša Heričko, Boštjan Šumak “Using Domain-Specific Word Embeddings to Boost Keyword-Based Commit Classification” (University of Maribor )
  • Algimantas Kriščiukaitis, R. Petrolis, R. Paukštaitienė “Challenges in Biomedical Signal and Image Analysis: Lessons Learned and Future Perspectives” (Lithuanian University of Health Sciences)
  • Audris Mockus, Anna-Maria Nau “ICPUTRD: Image Cloud Platform for Use in Tagging and Research on Decomposition” (Vilnius University, University of Tennessee)

Friday, December 2

9:00–10:00 Plenary Session

  • Eligius M.T. Hendrix “On Global Optimization and Machine Learning” (University of Malaga, Spain)
  • Dmitry Podkopaev “Decision Support for Many-Objective Optimisation” (Systems Research Institute, Polish Academy of Sciences)

10:00–11:00 Oral Session

  • Jurgita Markevičiūtė, Zenonas Norkus, Adomas Klimantas “Latvia's Regional Disparities: Comparison of Interwar Period with Modern Latvia” (Vilnius University)
  • Eimantas Rebždys, Saulius Masteika, Kęstutis Driaunys “Risks and Solutions of Bitcoin Instant Payments with Zero-Confirmations at Physical Points of Sale and Services” (Vilnius University)
  • Audrius Kabašinskas, Miloš Kopa, Kristina Šutienė, Aušrinė Lakštutienė, Aidas Malakauskas “Measurement of Performance of Lithuanian II Pillar Pension Funds Using Benchmark and Rolling Window Technique” (Kaunas University of Technology)

11:20–12:20 Oral Session

  • Jonas Šiaulys “Discrete-Time Risk Models for Non-Life Insurance Business” (Vilnius University)
  • Audronė Jakaitienė “How Much Do We Collect and How Much Do We Use for Policy and Research? Education Data. Case of Lithuania” (Vilnius University)
  • Vytautas Ostasevicius “Digital Twins in Manufacturing” (Kaunas University of Technology)

14:00–15:00 Plenary Session

  • Jevgenij Gamper “A Deep Dive into Industry Inspired Research Questions: from Causal Inference and Machine Learning, to Complexity Science” (Vinted)
  • Giovanna D'Inverno “All for One and One for All: How to Assess Performance When there are Different Dimensions and Different Stakeholders' Priorities?” (University of Pisa, Italy)