Annals of Computer Science and Intelligence Systems, Volume 36
Position Papers of the 18th Conference on Computer Science and Intelligence Systems
Dear Reader, it is our pleasure to present to you Position Papers of the 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023), which took place in Warsaw, Poland, on September 17–20, 2023.
Position papers comprise two categories of contributions—challenge papers and emerging research papers. Challenge papers propose and describe research challenges in theory, or practice, of computer science and intelligence systems. Papers in this category are based on deep understanding of existing research or industrial problems. Based on such understanding and experience, they define new exciting research directions and show why these directions are crucial to the society at large. Emerging research papers present preliminary research results from work-in-progress, based on sound scientific approach but presenting work not completely validated as yet. They describe precisely the research problem and its rationale. They also define the intended future work including the expected benefits from solution to the tackled problem. Subsequently, they may be more conceptual than experimental.
FedCSIS 2023 was chaired by Jarosław Arabas and Sławomir Zadrożny, while Przemysław Biecek acted as the Chair of the Organizing Committee. This year, FedCSIS was organized by Polish Information Processing Society (Mazovia Chapter), IEEE Poland Section Computer Society Chapter, Systems Research Institute of Polish Academy of Sciences, as well as Faculty of Electronics and Information Technology and Faculty of Mathematics and Information Sciences, of Warsaw University of Technology.
FedCSIS 2023 was technically co-sponsored by IEEE Poland Section, IEEE Czechoslovakia Section Computer Society Chapter, IEEE Poland Section Systems, Man, and Cybernetics Society Chapter, IEEE Poland Section Computational Intelligence Society Chapter, Committee of Computer Science of Polish Academy of Sciences, and Mazovia Cluster ICT. Moreover, two years ago, the FedCSIS conference series formed strategic alliance with the QED Software, a Polish software company developing AI-based products, and this collaboration has been continued.
In 2023, FedCSIS was sponsored by QED Software, Samsung, Hewlett Packard Enterprise, Łukasiewicz Research Network – Institute of Innovative Technologies EMAG, MDPI, Sages, Efigo, and CloudFerro. During FedCSIS 2023, the keynote lectures were delivered by:
- Lipika Dey, Tata Consultancy Services, India, keynote title: Deciphering Clinical Narratives – Augmented Intelligence for Decision Making in Health Care Sector
- Marta Kwiatkowska, University of Oxford, United Kingdom, keynote title: When to trust AI…
- Andrea Omicini, Alma Mater Studiorum – Università di Bologna, Italy, keynote title: Measuring Trustworthiness in Neuro-Symbolic Integration
- Roman Słowiński, Poznań University of Technology, Poland, keynote title: Multiple Criteria Decision Aiding by Constructive Preference Learning
Moreover, two special guests delivered invited presentations:
- Gianpiero Cattaneo, Retired from Department of Informatics, Systems and Communications, University of Milano-Bicocca, Italy, invited presentation title: Abstract Approach to Entropy and Co-Entropy in Measurable and Probability Spaces
- Jerzy Nawrocki, Poznań University of Technology, Poland, invited presentation title: Towards reliable rule mining about code smells: The McPython approach
FedCSIS 2023 consisted of Main Track, with five Topical Areas and Thematic Tracks. Some of Thematic Tracks have been associated with the FedCSIS conference series for many years, while some of them are relatively new. The role of Thematic Tracks is to focus and enrich discussions on selected areas, pertinent to the general scope of the conference.
Each contribution, found in this volume, was refereed by at least two referees. They are presented in alphabetic order, according to the last name of the first author. The specific Topical Area or Thematic Track that given contribution was associated with, is listed in the article metadata.
Making FedCSIS 2023 happen required a dedicated effort of many people. We would like to express our warmest gratitude to the members of Senior Program Committee, Topical Area Curators, Thematic Track Organizers and to members of FedCSIS 2023 Program Committee. In particular, we would like to thank those colleagues who have refereed all of the 358 submissions.
We thank the authors of papers for their great contributions to the theory and practice of computer science and intelligence systems. We are grateful to the keynote and invited speakers for sharing their knowledge and wisdom with the participants.
Last, but not least, we thank Jarosław Arabas, Sławomir Zadrożny, and Przemysław Biecek. We are very grateful for all your efforts!
We hope that you had an inspiring conference. We also hope to meet you again for the 19th Conference on Computer Science and Intelligence Systems (FedCSIS 2024), which will take place in Belgrade, Serbia, on September 8-11, 2024.
Co-Chairs of the FedCSIS Conference Series
Maria Ganzha, Warsaw University of Technology, and Systems Research Institute Polish Academy of Sciences, Poland.
Leszek Maciaszek (Honorary Chair), Macquarie University, Australia and Wrocław University of Economics, Poland.
Marcin Paprzycki, Systems Research Institute Polish Academy of Sciences, and Warsaw University of Management, Poland.
Dominik Ślęzak, University of Warsaw, Poland and QED Software, Poland, and DeepSeas, USA.
Large Minded Reasoners for Soft and Hard Cluster Validation -- Some Directions
7902 Soft Clustering, General Rough Sets, Cluster Validation, Clean Rough Randomness, Non-Stochastic Randomness, Axiomatic Granules, Large Minded Reasoners, Low Cost Computing, Tolerances Mani A, Sushmita Mitra, pages 1–8. RSTA
Key Factors Affecting Knowledge Sharing in Developed and Developing Countries: a specific focus on Saudi Arabia
5821 knowledge sharing, Data versus Information versus Knowledge, Abdulrahman Alsaif, Imran Khan, Martin White, Natalia Beloff, pages 9–16. ISM
ACC-PH: a Comprehensive Framework for Adopting Cloud Computing in Private Hospitals
4109 Cloud computing, Technology adoption models, Fayez Alshahrani, Natalia Beloff, Martin White, pages 17–26. ITBS
An Outlook on Natural Language Generation
3591 natural language generation, large language models, Anabela Barreiro, Elena Lloret, Oleksii Turuta, pages 27–34. CNLPS
Assessing the Accuracy of Body Measurements through Regression Analysis
6427 Quality control of graphical images, regression testing, regression analysis Janis Bicevskis, Edgars Diebelis, Zane Bicevska, Ivo Oditis, Girts Karnitis, Oskars Ozols, pages 35–41. ISM
Towards Community-Driven Generative AI
5494 Generative AI, Federated Learning, Rustem Dautov, Erik Johannes Husom, Sagar Sen, Hui Song, pages 43–50. DE
Federated Learning for Data Trust in Logistics
5947 data trust, federated learning, logistics, machine learning, artificial intelligence Michael Koch, Sascha Kober, Stanislaw Straburzynski, Benjamin Gaunitz, Bogdan Franczyk, pages 51–58. DE
Comparison of Deep Learning Architectures for three different Multispectral Imaging Flow Cytometry Datasets
8069 Computer Vision, Classification, Deep Learning, Multispectral Imaging Flow Cytometry Philippe Krajsic, Thomas Hornick, Susanne Dunker, pages 59–66. DSH
Decoupling Types and Representations of Values for Runtime Optimizations
5882 data representation, type systems, runtime optimizations, programming languages Petr Krajča, Radomír Škrabal, pages 67–76. WAPL
Interconnecting Advanced Networks with AI Applications
6202 Digital Ecosystems, AI, Machine Learning, Neural Networks, 5G and Beyond, Industrial IoT, Software Engineering, Blockchain, CIDN, Honeypotting, Big Data, decision-making, Computer Vision, real-time, Green AI Andriy Luntovskyy, pages 77–85. AAIA
Analysis of the Public Health Service in Bogotá, Colombia: a Study Based on Customer's Complains and Using Unsupervised Learning Algorithms
8583 Health Indicators, Health Services, Health Statistics, Cluster Analysis, Machine Learning Sebastian Quinchia-Lobo, Daniela Salazar-Gonzalez, Daniel Salas-Álvarez, Rubén Baena-Navarro, Isaac Caicedo-Castro, pages 87–95. AAIA
Multi-Criteria Decision-Making by Approximation in the Domain of Linguistic Values
4728 Multi-Criteria Decision-Making, Linguistic Labels, Leszek Rolka, pages 97–102. RSTA
Comparative Analysis of Low-Code Computation Systems
1990 low-code, computation systems, Anna Rosłan, Michał Śmiałek, pages 103–110. KKIO
Evaluation of selected Cardinality Pattern functions and linguistic variables applied to authors dominant discipline classification
2798 intelligent counting, cardinality pattern functions, Lukasz Szymula, Krzysztof Dyczkowski, pages 111–117. AAIA
Towards a Definition of Complex Software System
2898 Software System, Complex System Theory, Jan Žižka, Bruno Rossi, Tomáš Pitner, pages 119–126. SEW