Annals of Computer Science and Intelligence Systems, Volume 41
Communication Papers of the 19th Conference on Computer Science and Intelligence Systems
978-83-973291-1-9 (USB)
Preface
Dear Reader, it is our pleasure to present to you Communication Papers of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS 2024), which took place on September 8-11, 2024, in Belgrade, Serbia.
In the context of the FedCSIS conference series, the communication papers were introduced in 2017, as a separate category of contributions. They report on research topics worthy of immediate communication. They may be used to mark a new research territory, or to describe work in progress, in order to quickly present it to the scientific community. They may also contain additional information, omitted from the earlier papers, or may present software tools and products in a research state.
FedCSIS 2024 was chaired by Ivan Lukovic, while Dragana Makajić-Nikolić was the Chair of the Organizing Committee. This year, FedCSIS was organized by the Polish Information Processing Society (Mazovia Chapter), IEEE Poland Section Computer Society Chapter, Systems Research Institute of Polish Academy of Sciences, The Faculty of Mathematics and Information Science Warsaw University of Technology, The Faculty of Electrical and Computer Engineering of the Rzeszów University of Technology, and The Faculty of Organizational Science of the University of Belgrade.
FedCSIS 2024 was technically co-sponsored by IEEE Poland Section, IEEE Serbia and Montenegro Section, Poland Section of IEEE Computer Society Chapter, Czechoslovakia Section of IEEE Computer Society Chapter, Serbia and Montenegro Section of IEEE Computer Society Chapter, Poland Section of IEEE Systems, Man, and Cybernetics Society Chapter, Poland Section of IEEE Computational Intelligence Society Chapter, Serbia and Montenegro Section of IEEE Computational Intelligence Society Chapter, Serbia and Montenegro Section of IEEE Education Society Chapter, Serbia and Montenegro Section of IEEE Young Professionals Affinity Group, Committee of Computer Science of Polish Academy of Sciences, Informatics Association of Serbia, and Mazovia Cluster ICT.
FedCSIS 2024 was organized in collaboration with the Strategic Partner: QED Software, and sponsored by the Ministry of Science, Technological Development and Innovation, Republic of Serbia, Banca Intesa, Nelt Group, Netconomy, Elsevier, Journal of Computer Languages, OnlyOffice, Ascensio Systems d.o.o., Beograd, MDPI and Yettel Bank.
During FedCSIS 2024, the following Keynote and Invited lectures were delivered:
- Frank, Ulrich, University of Duisburg-Essen, Germany, Multi-Level Language Architectures: Fostering Reuse, Integration and User Empowerment by Allowing for Additional Abstraction
- Jovanović, Jelena, University of Belgrade, Serbia, Learning analytics: Challenges and opportunities opened by AI
- Kutyniok, Gitta, Ludwig-Maximilians-Universität München, Germany, Reliable AI: Successes, Challenges, and Limitations
- Tolvanen, Juha-Pekka, Metacase, Finland, Languages for non-developers: what, how, where?
- Dujmović, Jozo, San Francisco State University, USA, Graded Logic and Professional Decision Making
FedCSIS 2024 consisted of Main Track, with five Topical Areas and Thematic Sessions. Some of Thematic Sessions have been associated with the FedCSIS conference series for many years, while some of them are relatively new. The role of the Thematic Sessions is to focus and enrich discussions on selected areas, pertinent to the general scope of the conference, i.e. intelligence systems.
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 Session that given contribution was associated with is listed in the article metadata. Making FedCSIS 2024 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 Session Organizers and to the members of FedCSIS 2024 Program Committee. In particular, we would like to thank those colleagues who have refereed the 184 submissions. We thank the authors of the 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 Ivan Lukovic and Dragana Makajić-Nikolić and the FON Team. 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 20th Conference on Computer Science and Intelligence Systems (FedCSIS 2025) which will take place in Kraków, Poland, on September 14-17, 2025. We also hope that you will approve the evolution of the FedCSIS Conference concept, in the direction that properly addresses the current needs of research and applications. We want to continue looking at Computer Science from different angles but, at the same time, acknowledging the topic Intelligence Systems as the central point of everything that has to be considered.
Co-Chairs of the FedCSIS Conference Series
Marek Bolanowski, Rzeszow University of Technology, Poland.
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.
Communication Papers
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A VARK learning style-based Recommendation system for Adaptive E-learning
5253 Adaptive e-learning, VARK learning style, Recommendation system Fares Abomelha, Paul Newbury, pages 1–8. CSS -
Autism Spectrum Disorder Learning Application Framework (ASDLAF) Evaluation: ASD Users’ Perspectives
3189 Autism Spectrum Disorder (ASD), Learning Applications (LA), Technology Acceptance Model, Saudi Arabia Yahya Almazni, Natalia Beloff, Martin White, pages 9–18. ITBS -
DTA-SAU: A Conceptual Framework for Digital Transformation Adoption in Saudi Arabian Universities
8469 digital transformation, technology adoption models, Saudi Arabian universities Rasha Alsulami, Natalia Beloff, Martin White, pages 19–28. ITBS -
Enhancing Text Recognition of Damaged Documents through Synergistic OCR and Large Language Models
7400 OCR, LLMs, GPT-4, Manuscripts, Vocational Education Thomas Asselborn, Jens Dörpinghaus, Faraz Kausar, Ralf Möller, Sylvia Melzer, pages 29–36. AI-HuSo -
Semi-automatic annotation of Greek majuscule manuscripts: Steps towards integrated transcription and annotation
1772 HTR of ancient manuscripts, markup, word split, eScriptorium, digital editions Carina Geldhauser, Konstantin Malyshev, pages 37–44. AI‑HuSo -
AI in the workplace: who is using it and why? A look at the driving forces behind artificial intelligence in German companies
2752 Artificial Intelligence, Company level data, AI at the labour market, tasks Christian Gerhards, Myriam Baum, pages 45–52. AI‑HuSo -
Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning
1407 large language models, llm, gradient boosting, gbdt, xgboost, lightgbm, tabllm, benchmark, baseline, deep learning Carlos Huertas, pages 53–59. DMC -
Towards Evolvable APIs through Ontological Analysis
3164 API, API Evolvability, Ontology, FAIR Principles, Normalized Systems Theory Nikolas Jíša, Robert Pergl, pages 61–68. S3E -
Job Shop Scheduling with Integer Programming, Shifting Bottleneck, and Decision Diagrams: A Computational Study
9975 balas, disjunctive graph, shifting bottleneck, scheduling, job-shop, heuristic, gurobi, cplex, xpress, decision diagram, restricted decision diagram, mdd Brannon King, Robert Hildebrand, pages 69–76. CO -
Combining Local and Global Weather Data to Improve Forecast Accuracy for Agriculture
5990 Weather Forecast, Deep Learning, Gradient-Boosting, Machine Learning, Local Forecast František Koutenský, Jiří Pihrt, Miroslav Čepek, Vojtěch Rybář, Petr Šimánek, Michal Kepka, Karel Jedlička, Karel Charvat, pages 77–82. AgriAI -
Exploring Linguistic and Cultural Differences in Online Job Advertisement Analysis for NLP Applications
5992 NLP, Natural Language Processing, OJA, Online Job Advertisements, job postings, NLP transfer, linguistic and cultural differences, language transfer, descriptive analysis Kai Krüger, Lea Grüner, pages 83–94. AI‑HuSo -
Predictive System of the Water Deficit Analysis for the Black Sea Lowland (an example of the Kherson Region)
1140 predictive system, water deficit, climate change, the Kherson region, lack of moisture, weather stations, precipitation Lyudmyla Kuzmych, Yuriy Kyrylov, Mykola Voloshyn, pages 95–104. AgriAI -
Toxic Molecule Classification Using Graph Neural Networks and Few Shot Learning.
3810 Graph Neural Networks, Graph Isomorphic Network, Multi Headed Attention, Graph Data Augmentation, Few Shot Learning, Toxicity Prediction Bhavya Mehta, Kush Kothari, Reshmika Nambiar, Seema Shrawne, pages 105–110. DSH -
Integrating Artificial Intelligence Techniques in Cell Mechanics
4351 Artificial Intelligence (AI), Machine Learning (ML), Reinforcement Learning (RL), Deep Learning (DL), cell mechanics Muddasar Naeem, Mario Fiorino, Pia Addabbo, Antonio Coronato, pages 111–116. SL-SAS -
Analyzing the Privacy of a Healthcare RFID Authentication Protocol
5622 RFID, Authentication, Privacy, PUF Anca-Maria Nica, Ștefana Gheorghiță, pages 117–124. IoT‑ECAW -
Sensitivity Analysis in Air Pollution Modeling Supported by High Performance Supercomputers
2586 air pollution modeling, system of PDE, sensitivity analysis, algorithm, supercomputer, scalability Tzvetan Ostromsky, Silvi-Maria Gurova, Meglena Lazarova, pages 125–130. CO -
Handling Lot Sizing/Job Scheduling Synchronization through Path Search Algorithms
7665 Scheduling, Lot Sizing, Synchronizing, A* Algorithm, Mixed Integer Programming Alain Quilliot, Aurélien Mombelli, pages 131–138. CO -
Converting German Historical Legal Documents to TEI XML including challenges with Table Extraction
8851 OCR, Document Processing, Legal Texts Thomas Reiser, Petra Steiner, pages 139–149. AI‑HuSo -
Smart Assistants for Enhancing System Security and Resilience
8384 DevSecOps, Smart assistants, Security, Resilience, Requirements Engineering, Security by Design, Testing, Monitoring, Anomaly Detection Andrey Sadovykh, Dragos Truscan, Martin Schneider, Wissam Mallouli, Ana Cavalli, Cristina Seceleanu, Tanwir Ahmad, pages 151–158. RCIS -
Psychological Needs as Credible Song Signals: Testing Large Language Models to Annotate Lyrics
7168 psychological needs, music information retrieval, large language models Eunsun Smith, Yinxuan Wang, Eric Matson, pages 159–168. AI‑HuSo -
Integrating Artificial Intelligence-based programs into Autism Therapy: Innovations for Personalized Rehabilitation
6229 Autism, Artificial Intelligence, Rehabilitation Fabrizio Stasolla, Enza Curcio, Antonio Zullo, Anna Passaro, Maricarla Di Gioia, pages 169–176. SL-SAS -
Prediction of Temperature and Precipitation Changes for Serbia Using Time Series Models with Machine Learning
2570 prediction, temperature, precipitation, time series, machine learning Miroslav Tomić, Marija Đukić, Slavica Kordić, Vladimir Dimitrieski, Ivan Luković, pages 177–184. AgriAI -
FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach
7856 Stock trend prediction, Multi-dimensional approach, Over-fitting prevention Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu, pages 185–190. DMC -
Unused information in token probability distribution of generative LLM: improving LLM reading comprehension through calculation of expected values.
7639 large language models, token probability, reading comprehension, text evaluation, summary evaluation, LLM decoding, LLM evaluation, beam search, SummEval, tree sampling Krystian Zawistowski, pages 191–197. CNLPS
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