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ORCID20th FedCSIS 2025: Kraków, Poland
- Marek Bolanowski, Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, Dominik Slezak:
Proceedings of the 20th Conference on Computer Science and Intelligence Systems, FedCSIS 2025, Kraków, Poland, September 14-17, 2025. Annals of Computer Science and Information Systems 43, 2025, ISBN 978-83-973291-6-4
Main Track Invited Contributions
- Schahram Dustdar:
Active Inference in the Distributed Computing Continuum. 1-2 - Ameer Hamza, Robertas Damasevicius:
Multiscale MoE: A Mixture of Experts Framework with Attention-Driven Multi-Scale Learning for Brain Tumor Classification. 3-12 - Stephanie Tan
, Wendy Aartsen, Dicky van Hamersveld, Maarten van der Sanden, Catholijn M. Jonker:
SHARE: An Interactive Learning System for Improving Legal Consultation Services and Training. 13-24 - Ivan Lukovic, Marija Dukic, Dragan Stanojevic:
New Education Challenges in Profiling Digital Experts for a Digital Economy Era. 25-34 - Maisha Maliha, Mohammed Atiquzzaman:
Q-ID: A Reinforcement Learning Framework for Adaptive Intrusion Detection. 35-42 - Barbara Plank:
Human-centered LLMs for Inclusive Language Technology: The Need to Embrace Variation Holistically in NLP. 43-45 - Camilo Chacón Sartori, Christian Blum:
Optimizing the Optimizer: An Example Showing the Power of LLM Code Generation. 47-57 - Andrzej Skowron, Andrzej Jankowski, Soma Dutta:
Interactive Granular Computing: Toward Computing Model for Complex Intelligent Systems. 59-72
Main Track Regular Papers
- Samah Almaghrabi, Natalia Beloff, Martin White:
Adoption and Evaluation of Mobile Gaming Applications for Pain Management in Paediatric Oncology: A Culturally Contextualised TAM-Based Framework and Mixed-Methods Pilot Study in Saudi Arabia. 73-86 - Saleh Z. Alshehri, Natalia Beloff, Martin White:
Digital Transformation in Saudi Public Universities: A Novel Framework for Adoption Drivers and Impact Analysis. 87-98 - Maysoon Bineid, Natalia Beloff, Anastasia Khanina, Martin White:
CADM: An LSTM-Based Model for Detecting Creative Accounting in Time-Series Data from Saudi-Listed Companies. 99-109 - Marcin Blachnik, Jakub Chmielewski:
Comparison of Large Language Models Supporting the Polish Language in Terms of Faithfulness in Retrieval-Augmented Generation Applications. 111-119 - Janis Rihards Blazevics, Oksana Nikiforova, Oscar Pastor:
A Framework for Model-Driven AI-Assisted Generation of IT Project Management Plan and Scope Documents. 121-132 - Soma Dutta, Jaewon Shin:
A New Perspective of Associative Memories for Partial Patterns. 133-143 - Mateusz Fronczyk, Mariusz Rawski:
Hybrid mutation MTD solution with dedicated SDN agents. 145-154 - Nikolas Jísa, Robert Pergl:
Towards a Framework for Systematic API Migrations. 155-163 - Mariusz Kaleta:
Toward Conversational Decision Support Systems: Integrating LLMs in the Operations Research Methodology. 165-174 - Alexander Kammeyer, Florian Burger, Daniel Lübbert, Katinka Wolter:
Slurm plugin for HPC operation with time-dependent cluster-wide power capping. 175-183 - Lukás Korel, Martin Holena:
Assigning scientific texts to existing ontologies. 185-193 - Wannes De Maeyer, Steven Van Overberghe, Chris Cornelis, Mauricio Restrepo López:
Estimating the entropy of covering-based rough set approximation operators. 195-205 - Gloria J. Miller:
Simultaneous pursuit of accountability for regulatory compliance, financial benefits, and societal impacts in artificial intelligence (AI) projects. 207-217 - Chan Duong Nguy, Piotr Wasilewski:
Deep Differentiable Logic Gate Networks Based on Fuzzy Łukasiewicz T-norm. 219-230 - Piotr Przymus, Krzysztof Rykaczewski, Janusz Zielinski, Lukasz Mikulski:
Segmentation and Process Assignment of Semi-Structured Event Logs. 231-241 - Paul Rozbitski, Christian Leyh, Ching-Ho Ip:
Addressing Skills Shortages through Low-Code/No-Code: Skill Profiles and Implementation Challenges. 243-253 - Jakub Sadel, Tomasz Tarasiewicz, Pawel Kowaleczko, Maciej Ziaja, Daniel Kostrzewa, Pawel Benecki, Michal Kawulok:
Keypoint-based metric for evaluating image super-resolution quality. 255-263 - Twisampati Sarkar, Henry Chu:
A Comparative Study of LSTM Efficiency vs. Transformer Power for Localized Time Series Forecasting. 265-276 - Sotiris Vasileiadis, Sheraz Aslam, Kyriacos Orphanides, Alessandro Cassera, Eduardo Garro Crevillen, Alvaro Martinez-Romero, Michalis P. Michaelides, Herodotos Herodotou:
Real-time Container Tracking and Damage Detection at Seaports Using Deep Learning. 277-285
Main Track Short Papers
- Vytautas Abromavicius, Rytis Maskeliunas:
A Lightweight Optimization Approach to the Single-Person Pose Estimation Pipeline in RGB-D Cameras. 287-290 - Robert Chihaia, Maria Trocan, Florin Leon:
Simple Idea Discovery in a Minimalist LLM Architecture Implementation. 291-296 - Rustem Dautov, Simeon Tverdal, André Skoog Bondevik, Svein Arild Frøshaug, Vera Szabo, Jan Robert Fiksdal:
Data Interoperability Using Smart Data Models and NGSI-LD for the Norwegian Agrifood Sector. 297-302 - Wiktor Goszczynski, Szymon Walega, Janusz Chmiel, Bartlomiej Gaweda, Katarzyna Grobler-Debska:
Automatic Parcel Damage Recognition Module for an Inspection Robot. 303-308 - Kali Gürkahraman, Ahmet Firat Yelkuvan, Rukiye Karakis:
Length-Preserving Hair Simulation via Bézier Curves and Artificial Neural Network. 309-314 - Stefan Kristofík, Michaela Hanková:
StarCraft strategy learning refinement using replay snapshotting. 315-320 - Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi:
Applying Evolutionary Techniques to Enhance Graph Convolutional Networks for Node Classification: Case Studies. 321-326 - Peter Malík, Martin Orlej, Branislav Fajcák, Massimo Rippa:
AI classifier of defects in Artworks captured by active infrared thermography. 327-332 - Sarmad Maqsood, Egle Milieskaite-Belousoviene, Rytis Maskeliunas:
Attention-Based Multi-Task Learning and PPO Reinforcement Learning for Explainable Blood Glucose Prediction. 333-338 - Rytis Maskeliunas, Robertas Damasevicius:
Forest-Inspired Reinforcement Learning Based On Nature Ecosystem Feedback Mechanisms. 339-344 - Itay Meiri, Ran Dubin, Amit Dvir, Chen Hajaj:
Out-Of-Distribution Is Not Magic: The Clash Between Rejection Rate and Model Success. 345-350 - Damien Nicolas, Christophe Feltus, Ruben Antonio de Jesus Marques:
Digital Twin Micro-Services Architecture to Support a Scenario-based Integration of Smart Mobility Services and Simulations. 351-356 - Panagiotis Papadeas, Dimitrios Gerokonstantis, Christos Hadjichristofi, Vassilios Vescoukis:
Enhancing API documentation by inter-endpoint dependency graphs. 357-362 - Leslaw Pawlaczyk:
Hybrid U-Net segmentation of vessels in fundus eye images. 363-368 - Laura Po, Martina Casari, Federica Rollo, Matteo Angelinelli, Giorgio Pedrazzi, Chiara De Pascali, Luca Francioso, Roberta Turra:
Enhancing Low-Cost Air Quality Sensors with AI for Smart Green Routing. 369-374 - Radoslaw Rudek:
Metaheuristics for Rolling Stock Cyclic Job Scheduling Problems with Maintenance. 375-380 - Dominik Sepiolo, Antoni Ligeza:
Symbolic vs Black-Box Explanations: A Model-Driven Approach Using Grammatical Evolution. 381-386 - Oguzhan Tasci, Tugba Gurgen Erdogan:
Comparative Analysis of AI and Traditional Software GitHub Repositories Using Process Mining. 387-392 - Asli Tasgetiren, Ayça Kolukisa Tarhan:
Challenges in Evaluating OSS Quality: Results from SLR on Quality Evaluation Tools. 393-398 - Micheale Tekulu, Ali Krayani, Pamela Zontone, Lucio Marcenaro, Francesco Caprile, Antonino Masaracchia, Carlo S. Regazzoni:
Anomaly Detection for Unmanned Surface Vehicles Based on a Multi-Modal Bayesian Generative Model. 399-404 - Joanna Wójcicka, Tomasz Hachaj:
Unified Data-Driven Prediction of Photovoltaics Output from Weather and Geographic Data Across Diverse Systems. 405-410 - Milica M. Zukanovic, Aleksa Radosavcevic, Ana M. Poledica, Pavle D. Milosevic, Ivan Lukovic:
Evaluating Effectiveness of Nonlinear Dimensionality Reduction in Hedge Funds' Returns Forecasting. 411-416 - Bianka Simková:
Encouraging Sustainable Fashion Choices Through a Mobile Application. 417-422
Thematic Sessions Regular Papers
- Raya Aldawoud, Zohra Sbaï:
Multi-level Optimization-based Ensemble Machine Learning for Efficient Crop Yield Prediction in Saudi Arabia. 429-440 - Salem Alotaibi, Alexei Lisitsa, Antony McCabe, Joanna MacSween:
Leveraging Large Language Models for Automated Export Control Screening: Evaluating LLMs Framework. 441-449 - Mona Alshehri, Natalia Beloff, Martin White:
AraXLM: Evaluating Arabic Diacritization Tools for Cross-Language Plagiarism Detection. 451-460 - Gabriele De Sousa Araújo, Omar Andrés Carmona Cortes, Olaf Reinhold, Fábio M. F. Lobato:
Hybrid Approaches for Pneumonia Detection in X-rays: Combining CNNs and ML Classifiers. 461-470 - Thomas Asselborn, Magnus Bender, Ralf Möller, Sylvia Melzer:
Treating OCR Output as a Language (TOOL) - Improving OCR Output with Seq2Seq Translation. 471-478 - Janis Bicevskis, Reinis Oditis, Ivo Oditis, Zane Bicevska:
Blackcurrant Plantations Monitoring Using Drones. 479-488 - Boyan Bontchev, Sia Tsolova, Dessislava Vassileva:
A Serious Game for Teaching Entrepreneurship and Strategic Management. 489-497 - Linda Burchiellaro, Francesco Faenza, Claudia Canali:
ELEVATE-AI: Evaluation of Learning Environments Via Assessment Tools Enhanced by AI. 499-506 - Karel Charvát, Stein-Runar Bergheim, Raúl Palma, Adam Aron Rynkiewicz, Matús Botek, Alexander Kovalenko, Pavel Kordík, Antonín Kubícek, Markéta Kollerová, Sárka Horáková:
Bridging Global Language Models and Local Spatial Data: The JackDaw Approach to Context-Aware Agriculture and Rural Planning. 507-518 - Aleksandar S. Dimovski:
While-guard Synthesis by Abstract Static Analysis and CHC Solving. 519-530 - Alexander Fischer, Louis Burk, Ramin Tavakoli Kolagari, Uwe Wienkop:
Machine-Readable by Design: Language Specifications as the Key to Integrating LLMs into Industrial Tools. 531-542 - Arianna Freda, Davide Maestosi, Maurizio Naldi, Gaia Nicosia, Andrea Pacifici:
Forecasting consent in organ donation: early assessment of machine-learning techniques. 543-552 - Omer Lapidot, Tami Tamir:
The Power of Preemptions in Scheduling on Shareable Resources. 553-563 - Niklas Preiß, Markus Westner:
From Agents to Copilots: A Systematic Review of Digital Assistant Technology Adoption in Proprietary Productivity Software. 565-576 - Alain Quilliot, Hélène Toussaint:
Vehicle Routing under Complex Access-to-Energy Constraints. 577-586 - Md Mustafijur Rahman, Roger B. Sidje:
An Application of Tensors in the Stochastic Reaction Diffusion Master Equation. 587-594 - Constanze Riedinger, Christopher Rentrop, Melanie Huber, Stephan Zimmermann:
Leveraging Business-IT Collaboration: Effective Design and Challenges of the IT Business Partner Role. 595-603 - Naeem Ullah, Francisco Martínez-Álvarez, Ivanoe De Falco, Giovanna Sannino:
Optimizing Deep Learning for Cotton Leaf Disease Detection Using Meta-Heuristic Feature Selection Algorithms. 605-614 - Rafal Wojszczyk, Aneta Hapka, Kacper Akdag-Ochnik:
Implementation of random number generator service with IoT device. 615-624 - Roberto Zanotti, Daniele Manerba, Renata Mansini:
The price of customer presence in Attended Home Delivery with Customer Availability Profiles. 625-634
Thematic Sessions Short Papers
- Cesar Freitas Bernardes, Pedro B. Castellucci, Douglas Soares Gonçalves, Eduardo Inacio Duzzioni, Antonio Mucherino:
Adiabatic Quantum Computing for the Subset Sum Problem: Preliminary Studies. 635-639 - Naama Bouskila, Lihi Dery:
Cognitive-Aware Peer Assessment: Design Implications from a Classroom Deployment. 641-646 - Lukás Bocek, Lubomír Stepánek:
Machine learning for survival analysis: a comparative study on intensive care unit (ICU) patient data and simulations. 647-652 - Christian Gerhards:
Coverage of OpenStreetMap data at firm level. Assessing the suitability for social science representative firm samples and found data firm analyses. 653-658 - Beata Bylina, Maciej Okon:
A Multithreaded Java-Based Video Encoder for Multicore Systems. 659-664 - Michal Ciesiólka, Filip Gralinski:
reVISION: A Polish Benchmark for Evaluating Vision-Language Models on Multimodal National Exam Data. 665-673 - Daniel Dan, Anna Wróblewska, Bartosz Grabek, Michal Taczala, Minoru Nakayama:
Applications and Challenges of Artificial Intelligence in Educational Course Design and Delivery. 675-680 - Ralf Dorau, Kristine Hein:
Towards the automated classification of German job titles according to KldB. 681-686 - Jens Dörpinghaus, Michael Tiemann:
Do LLMs dream of antique hermeneutics? Critical remarks on automated text interpretation. 687-692 - Stefka Fidanova, Jelenko Stanchov, Maria Ganzha:
Knitwear Production Scheduling. 693-697 - Daniel Gilkarov, Ran Dubin:
AI-MTD: Zero-Trust Artificial Intelligence Model Security Based on Moving Target Defense. 699-704 - Tim Klos, Alessandra Zarcone, Christopher Rentrop, Constanze Riedinger, Niculin Prinz, Melanie Huber:
Entangled by Design: A structured Overview of Management Challenges concerning AI Adoption in Organizations. 705-713 - Nikola Kosturski, Ivan Lirkov, Marcin Paprzycki:
An application of BURA solver to fractional super-diffusion problems. 715-720 - Lasko Laskov, Marin Marinov:
An algorithm for Direct Construction of all Pareto Optimal Biobjective Minimum Spanning Trees. 721-726 - Severin Lochschmidt, Stefan Engels, Robert Wille:
Towards Optimal Train Routing Using Microscopic Simulation on Moving Block Controlled Networks. 727-732 - Alisa Lorenz:
A New Dimension of Acceptance? Introducing Perceived Public Value as Extension of UTAUT in the Smart City Context. 733-738 - Filip Martinovic, Danijel Mlinaric, Juraj Doncevic, Agneza Krajna, Ivica Boticki:
Towards Game Level Generation Through LLM and GAN. 739-745 - Artur Misztal:
DivCrypt: A Structured Framework for Validating Cryptographic Implementations. 747-752 - Marek Palkowski, Mateusz Gruzewski:
NPDP programming for RISC multi-core processors. 753-758 - Lubomír Seif, Ondrej Vít, Lubomír Stepánek:
Bias in Classical Life Tables Under Censoring: A Comparative Study With Kaplan-Meier Estimation and Actuarial Estimation Using Real and Simulated Data. 759-764 - Mustafa Shah, Arsenio Cutolo, Muddasar Naeem, Muhammad Waris, Musarat Abbas:
An RL Agent to Find Minimum Energy in a Tensegrity Representing a Cell. 765-770 - Anna Soltysik-Piorunkiewicz, Malgorzata Pankowska, Stanislaw Stanek, Karsten Böhm, Mariusz Zytniewski:
AI Software Security for Smart Environment in a Dynamically Changing Knowledge Management Strategy. 771-776 - Venelin Todorov, Velichka Traneva, Stoyan Tranev, Mihai Petrov, Slavi G. Georgiev, Fatima Sapundzhi:
A New Optimization Method for evaluating Sobol' Sensitivity Indices. 777-781 - Andrzej Sluzek, Piotr Stachura:
Illumination-targeting Data Augmentation for Monochrome Images. 783-787 - Lubomír Stepánek:
Improved upper bounds on the shortest watchman route in simple polygons: Dependence on reflex vertices and triangulation strategies. 789-794 - Lubomír Stepánek:
A statistical hypothesis test for primality based on random divisor sampling: Principles, properties, adaptive design, and algorithmic analysis. 795-800
Data Mining Competition
- Sebastian Björkqvist:
Estimating the Difficulty of Chess Puzzles by Combining Fine-Tuned Maia-2 with Hand-Crafted and Engine Features. 801-806 - Ling Cen, Jiahao Cen, Malin Song, Zhuliang Yu:
A Multi-Stage Framework for Chess Puzzle Difficulty Prediction. 807-812 - Junlin Chen, Cenru Liu, Yujie Gao:
Multi-Modal Deep Learning with Residual and Structure-Guided Refinement for Chess Puzzle Difficulty Prediction. 813-818 - Alan Liang, Cenzhi Liu, Kai Wang, Ethan Liu:
A Stacking-Based Ensemble Approach for Predicting Chess Puzzle Difficulty. 819-824 - Ming Liu, Junye Wang, Yinghan Hu, Xiaolin Yang, Defu Lin:
Hybrid Boosting and Multi-Modal Fusion for Chess Puzzle Difficulty Prediction. 825-830 - Szymon Milosz:
Pretraining Transformers for Chess Puzzle Difficulty Prediction. 831-835 - Tyler Woodruff, Luke Imbing, Marco Cognetta:
The bread emoji Team's Submission to the 2025 FedCSIS Predicting Chess Puzzle Difficulty Challenge. 837-842 - Haitao Xiao, Daiyuan Yu, Xuegang Wen, Le Chen, Kun Fu:
Multi-Source Feature Fusion and Neural Embedding for Predicting Chess Puzzle Difficulty. 843-848 - Jan Zysko, Michal Slezak, Dominik Slezak, Maciej Swiechowski:
FedCSIS 2025 knowledgepit.ai Competition: Predicting Chess Puzzle Difficulty Part 2 & A Step Toward Uncertainty Contests. 849-854
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