All times are in the Central European Summer Time (CEST, UTC+2) timezone.
The FedCSIS 2025 will be held at the University campus: Building B-8, aleja Adama Mickiewicza 30/0.24, 30-059 Kraków. Link to google maps: https://maps.app.goo.gl/2bZduZKGMWBmh7gp6
Transfer to Tomaszowice Manor
Transfer to the banquet at the Dwor in Tomaszowice. Transportation will be provided. Meeting point in front of building B8 (the stairs where the conference photo was taken)
Opening, [Approximately 20 minutes for the presentation + a few minutes for questions.]
14:40 - 15:00
Sarmad Maqsood, Egle Belousovienė and Rytis Maskeliūnas, Attention-Based Multi-Task Learning and PPO Reinforcement Learning for Explainable Blood Glucose Prediction
15:00 - 15:20
Chun-Wei Tung, Chia-Chi Wang, Run-Hsin Lin and Shan-Shan Wang, Multitask Learning for Six-Pack Toxicity Prediction
15:20 - 15:40
Ameer Hamza and Robertas Damaševičius, RAG^4-Unet: An Approach for Recognition and Segmentation of Brain Tumor in MRI Scans
15:40 - 16:00
Lesław Pawlaczyk, Hybrid U-Net segmentation of vessels in fundus eye images
September 15 (Monday), 09:00 - 11:00, Room 1
Session chairs: Mariusz Kaleta
09:00 - 09:25
Marcin Blachnik and Jakub Chmielewski, Comparison of Large Language Models Supporting the Polish Language in Terms of Faithfulness in Retrieval-Augmented Generation Applications
09:25 - 09:50
Lukáš Korel and Martin Holeňa, Assigning scientific texts to existing ontologies
09:50 - 10:15
Mariusz Kaleta, Toward Conversational Decision Support Systems: Integrating LLMs in the Operations Research Methodology
10:15 - 10:40
Robert Chihaia, Maria Trocan and Florin Leon, Simple Idea Discovery in a Minimalist LLM Architecture Implementation
10:40 - 11:05
Dominik Sepioło and Antoni Ligęza, Symbolic vs Black-Box Explanations: A Model-Driven Approach Using Grammatical Evolution
September 15 (Monday), 14:30 - 16:00, Room 1
Session chairs: Laura Po
14:30 - 14:52
Sotiris Vasileiadis, Sheraz Aslam, Kyriacos Orphanides, Alessandro Cassera, Eduardo Garro Crevillen, Alvaro Martinez-Romero, Michalis Michaelides and Herodotos Herodotou,, Real-time Container Tracking and Damage Detection at Seaports Using Deep Learning
14:52 - 15:14
Joanna Wójcicka and Tomasz Hachaj, Unified Data-Driven Prediction of Photovoltaics Output from Weather and Geographic Data Across Diverse Systems
15:14 - 15:36
Micheale Tekulu, Ali Krayani, Pamela Zontone, Lucio Marcenaro, Francesco Caprile, Antonino Masaracchia and Carlo Regazzoni, Anomaly Detection for Unmanned Surface Vehicles Based on a Multi-Modal Bayesian Generative Model
15:36 - 16:00
Laura Po, Martina Casari, Federica Rollo, Matteo Angelinelli, Giorgio Pedrazzi, Chiara De Pascali, Luca Nunzio Francioso and Roberta Turra, Enhancing Low-Cost Air Quality Sensors with AI for Smart Green Routing
September 15 (Monday), 16:30 - 18:30, Room 1
Session chairs: Szymon Łukasik
16:30 - 16:54
Messaouda Nekkaa, Mohamed Abdouni and Dalila Boughaci, Interpreting NAS-Optimized Transformer Models for Remaining Useful Life Prediction Using Gradient Explainer
16:54 - 17:18
Milica Zukanović, Aleksa Radosavčević, Ana Poledica, Pavle Milošević and Ivan Luković, Evaluating Effectiveness of Nonlinear Dimensionality Reduction in Hedge Funds’ Returns Forecasting
17:18 - 17:42
Twisampati Sarkar and Henry Chu, A Comparative Study of LSTM Efficiency vs. Transformer Power for Localized Time Series Forecasting
17:42 - 18:06
Itay Meiri, Ran Dubin, Amit Dvir and Chen Hajaj, Out-Of-Distribution Is Not Magic: The Clash Between Rejection Rate and Model Success
18:06 - 18:30
Maciej Krzywda, Szymon Lukasik and Amir H Gandomi, Applying Evolutionary Techniques to Enhance Graph Convolutional Networks for Node Classification: Case
September 16 (Tuesday), 09:00 - 11:00, Room 1
Session chairs: Ahmet Firat Yelkuvan
09:00 - 09:24
Kali Gürharaman, Ahmet Firat Yelkuvan and Rukiye Karakis, 3D Brain Extraction from Magnetic Resonance Imaging Using Knowledge Distillation
09:24 - 09:48
Jakub Sadel, Tomasz Tarasiewicz, Pawel Kowaleczko, Maciej Ziaja, Daniel Kostrzewa, Pawel Benecki and Michal Kawulok, Keypoint-based metric for evaluating image super-resolution quality
09:48 - 10:12
Kali Gürkahraman, Ahmet Firat Yelkuvan and Rukiye Karakis, Length-Preserving Hair Simulation via Bézier Curves and Artificial Neural Network
10:12 - 10:36
Peter Malík, Martin Orlej, Branislav Fajčák and Massimo Rippa, AI classifier of defects in Artworks captured by active infrared thermography
10:36 - 11:00
Wiktor Goszczyński, Szymon Wałęga, Janusz Chmiel, Bartłomiej Gawęda and Katarzyna Grobler-Dębska, Automatic Parcel Damage Recognition Module for an Inspection Robot
September 17 (Wednesday), 09:30 - 11:00, Room 1
Session chairs: Rytis Maskeliūnas
09:30 - 09:52
Hasan Tolga Ünal, Özgür Umut Vurgun, Assoc. Prof. Arif Furkan Mendi̇ and Dr. Mehmet Akif Nacar, Secure and Scalable IoT Data Transmission with Adaptive Protocol Switching
09:52 - 10:14
Marko Esche, Levin Ho, Martin Nischwitz and Sabine Glesner, Practical security of evidence for regulated artificial intelligence modules
10:14 - 10:36
Rytis Maskeliūnas and Robertas Damaševičius, , Forest-Inspired Reinforcement Learning Based On Nature Ecosystem Feedback Mechanisms
10:36 - 11:00
Štefan Krištofík and Michaela Hanková, StarCraft strategy learning refinement using replay snapshotting
September 17 (Wednesday), 11:30 - 13:30, Room 1
Session chairs: Jaewon Shin
11:30 - 11:54
Wannes De Maeyer, Steven Van Overberghe, Chris Cornelis and Mauricio Restrepo Lopez, Estimating the entropy of covering-based rough set approximation operators
11:54 - 12:18
Chan Duong Nguy and Piotr Wasilewski, Deep Differentiable Logic Gate Networks Based on Fuzzy Łukasiewicz T-norm
12:18 - 12:42
Soma Dutta and Jaewon Shin, A New Perspective of Associative Memories for Partial Patterns
12:42 - 13:06
Jan Krupiński and Kazimierz Kiełkowicz, Detecting Spatial Ordering of Nanoparticles with Geometric Deep Learning
13:06 - 13:30
Maysoon Bineid, Natalia Beloff, Anastasia Khanina and Martin White, CADM: An LSTM-Based Model for Detecting Creative Accounting in Time-Series Data from Saudi-Listed Companies
Sravya Malladi and Pranav Kulkarni, Integrating Real-ESRGAN with CNN Models for UAV Image Based Plant Disease Detection, [ position paper]
09:55 - 10:10
Irfan Abbas, Robertas Damaševičius, Rytis Maskeliūnas and Muhammad Abdullah Sarwar, Tree Segmentation from Low-Resolution Digital Orthophotos using a Hybrid Deep Learning Model, [ communication paper]
10:10 - 10:30
Jānis Bičevskis, Reinis Odītis, Ivo Odītis and Zane Bičevska, Blackcurrant Plantations Monitoring Using Drones, [ regular paper]
10:25 - 10:45
Karel Charvat, Stein Runar Bergheim, Raul Palma, Adam Aron Rynkiewicz, Matúš Botek, Alexander Kovalenko, Pavel Kordík, Antonín Kubíček, Markéta Kollerová and Šárka Horáková, Bridging Global Language Models and Local Spatial Data: The JackDaw Approach to Context-Aware Agriculture and Rural Planning, [ regular paper]
10:45 - 11:00
Lavanyan Rathy, Håvard Pedersen Brandal and Weria Khaksar, Towards Human-Robot Interaction in Agriculture Using Large Language Models, [ position paper]
September 17 (Wednesday), 11:30 - 13:30, Room 1
Session chairs: Karel Charvat
11:30 - 11:50
Peder Ormen Bukaasen and Weria Khaksar, DBRow: A Density-Based algorithm for autonomous navigation within crop rows, [ regular paper]
11:50 - 12:10
Jorid Holmen and Weria Khaksar, Detection and Classification of Rumex Weeds in Grasslands Using YOLOv11, [ regular paper]
12:10 - 12:30
Raya Aldawoud and Zohra Sbaï, Multi-level Optimization-based Ensemble Machine Learning for Efficient Crop Yield Prediction in Saudi Arabia, [ regular paper]
12:30 - 12:50
Rupali Sharma, Sushopti Gawade and Seema Shrimali, SM-CNNANN: A Multi-Head Attention Model for Accurate Crop Yield Prediction and Recommendation, [ short paper]
Session chairs: Jens Dörpinghaus & Robert Helmrich
09:00
Opening
09:00 - 09:15
Thomas Asselborn, Magnus Bender, Ralf Möller and Sylvia Melzer, Treating OCR Output as a Language (TOOL) – Improving OCR Output with Seq2Seq Translation
09:15 - 09:30
Christian Gerhards, Coverage of OpenStreetMap data at firm level. Assessing the suitability for social science representative firm samples and found data firm analyses
09.30 - 09.50
Matteo Ciaschi, Examining the Increasing Use of Artificial Intelligence in Education, A step Closer to Personalized Learning
09:50 - 10:00
Break
10:00 - 10:20
Jens Dörpinghaus and Michael Tiemann, Do LLMs dream of antique hermeneutics? Critical remarks on automated text interpretation
10:20 - 10:40
Ralf Dorau and Kristine Hein, Towards the automated classification of German job titles according to KldB
10:40 - 11:00
Marek Średniawa, AI in theatre. Witkacy case study
September 16 (Tuesday), 14:30 - 16:00, Room 2
Session chairs: Michael Tiemann & Stefan Speckesser
14:30 - 14:50
Radoslav Koynov and Triet Ho Anh Doan, Opportunities and Challenges of LLMs as Post-OCR Correctors
14:50 - 15:10
Nina Krzemińska and Mirosława Długosz, Perception and Emotional Response to AI-Generated Audiovisual Media: The Influence of Content and Context
15:10 - 15:30
Iwona Grabska-Gradzińska, Grażyna Ślusarczyk and Barbara Strug, Ontological support for integration computer tools in digital humanities research
15:30 - 15:50
Thomas Reiser, Petra Steiner and Kristine Hein, Towards a German VET Archive and its Integration into a Data Warehouse
Lubomír Štěpánek, A statistical hypothesis test for primality based on random divisor sampling: Principles, properties, adaptive design, and algorithmic analysis
14:50 - 15:10
Md Mustafijur Rahman and Roger B. Sidje, An Application of Tensors in the Stochastic Reaction Diffusion Master Equation
15:10 - 15:25
Beata Bylina and Maciej Okoń, A Multithreaded Java-Based Video Encoder for Multicore Systems
15:25 - 15:45
Marek Palkowski and Mateusz Grużewski, NPDP programming for RISC multi-core processors
15:45 - 16:00
Nikola Kosturski, Ivan Lirkov and Marcin Paprzycki, An application of BURA solver to fractional super-diffusion problems
Mona Alshehri, Natalia Beloff and Martin White, AraXLM: Evaluating Arabic Diacritization Tools for Cross- Language Plagiarism Detection
16:50 - 17:10
Salem Alotaibi, Alexei Lisitsa, Antony McCabe and Joanna MacSween, Leveraging Large Language Models for Automated Export Control Screening: Evaluating LLMs Framework
17:10 - 17:30
Michał Ciesiółka and Filip Graliński, reVISION: A Polish Benchmark for Evaluating Vision-Language Models on Multimodal National Exam Data
17:30 - 17:50
Adrian Niedziółka-Domański and Jarosław Bylina, Adapting CycleGAN architecture for Unpaired Diachronic Text Style Transfer
17:50 - 18:00
Piotr Przybyła, Jakub Strebeyko, Alina Wróblewska, PolEval Task 1: Spotting Machine-Generated Text from Language Models for Polish (ŚMIGIEL)
18:00 - 18:10
Alina Wróblewska, PolEval Task 2: Gender-inclusive LLMs for Polish
18:10 - 18:20
Łukasz Kobyliński, Aleksandra Zwierzchowska, Ariel Drozd, Michał Rudolf, PolEval Task 3: Polish Language Document Layout Detection
Cesar Freitas Bernardes, Pedro Castellucci, Douglas Gonçalves, Eduardo Duzzioni and Antonio Mucherino, Adiabatic Quantum Computing for the Subset Sum Problem: Preliminary Studies
14:25 - 14:50
Roberto Zanotti, Daniele Manerba and Renata Mansini, The price of customer presence in Attended Home Delivery with Customer Availability Profiles
14:50 - 15:15
Omer Lapidot and Tami Tamir, The Power of Preemptions in Scheduling on Shareable Resources
15:15 - 15:40
Venelin Todorov, Velichka Traneva, Stoyan Tranev, Mihai Petrov, Slavi Georgiev and Fatima Sapundzhi, A New Optimization Method for evaluating Sobol’ Sensitivity Indices
15:40 - 16:00
Jens Dörpinghaus, Michael Tiemann and Robert Helmrich, Modeling and optimizing flow networks with several constrains using sequential dynamical systems
September 15 (Monday), 16:30 - 18:30, Room 3
Session chairs: Antonio Mucherino
16:30 - 16:55
Stefka Fidanova, Jelenko Stanchov and Maria Ganzha, Knitwear Production Scheduling
16:55 - 17:20
Alain Quilliot, Vehicle Routing under Complex Access-to-Energy Constraints
17:20 - 17:45
Lubomír Štěpánek, Improved upper bounds on the shortest watchman route in simple polygons: Dependence on reflex vertices and triangulation strategies
17:45 - 18:10
Lasko Laskov and Marin Marinov, An algorithm for Direct Construction of all Pareto Optimal Biobjective Minimum Spanning Trees
18:10 - 18:20
Yehor Kovalenko, Andrei Pivavarau and Joanna Ochelska-Mierzejewska, Smart Routes: Hybrid Metaheuristics for Efficient Vehicle Routing Problem
September 16 (Tuesday), 09:00 - 11:00, Room 3
Session chairs: Stefka Fidanova
09:00 - 09:25
Severin Lochschmidt, Stefan Engels and Robert Wille, Towards Optimal Train Routing Using Microscopic Simulation on Moving Block Controlled Networks
09:25 - 09:45
Velichka Traneva, Stoyan Tranev, Mihai Petrov and Venelin Todorov, A Confidence-Interval Circular Intuitionistic Fuzzy Zero Point Model for Optimizing Spare Parts Transfer in Smart Manufacturing Environments
09:45 - 10:05
Jung-Hsin Lin, Exploring the entire medicinal chemistry space on the hybrid computational platform with quantum annealer and gate-based quantum circuits
10:05 - 10:25
Zahraa Asfour, Sonia Cafieri and Andrija Vidosavljevic, A Constraint Programming Approach for Urban Drone Trajectory Optimization
10:25 - 10:45
Pawel Myszkowski, Michał Przewozniczek and Lukasz Kopocinski, Effectiveness of metaheuristics applied to Human Resource Allocation Problem in Short-Term Employment Sector – a case study
10:45 - 11:00
Adam Górski and Maciej Ogorzalek, Constructive genetic algorithm with penalty function for a concurrent real-time optimization in embedded system design process
Ming Liu, Junye Wang, Yinghan Hu, Xiaolin Yang and Defu Lin, Hybrid Boosting and Multi-Modal Fusion for Chess Puzzle Difficulty Prediction, [8th place]
September 16 (Tuesday), 16:30 - 18:30, Room 1
Session chairs: Dominik Ślęzak & Jan Zyśko
16:30 - 16:50
Jan Zyśko, Michał Ślęzak, Dominik Ślęzak and Maciej Świechowski, FedCSIS 2025 knowledgepit.ai Competition: Predicting Chess Puzzle Difficulty Part 2 & A Step Toward Uncertainty Contests, [online]
16:50 - 17:10
Tyler Woodruff, Luke Imbing and Marco Cognetta, The bread emoji Team’s Submission to the 2025 FedCSIS Predicting Chess Puzzle Difficulty Challenge , [2nd place; online]
17:10 - 17:30
Haitao Xiao, Daiyuan Yu, Xuegang Wen, Le Chen and Kun Fu, Multi-Source Feature Fusion and Neural Embedding for Predicting Chess Puzzle Difficulty, [5th place; online]
17:30 - 17:50
Ling Cen, Jiahao Cen, Malin Song and Zhuliang Yu, A Multi-Stage Framework for Chess Puzzle Difficulty Prediction, [6th place; online]
17:50 - 18:10
Alan Liang, Cenzhi Liu, Kai Wang and Ethan Liu, A Stacking-Based Ensemble Approach for Predicting Chess Puzzle Difficulty, [7th place; online]
17:10 - 18:30
Junlin Chen, Cenru Liu and Yujie Gao, Multi-Modal Deep Learning with Residual and Structure-Guided Refinement for Chess Puzzle Difficulty Prediction, [9th place; online]
Session chairs: Carsta Militzer-Horstmann, Olaf Reinhold
14:30 - 14:40
Carsta Militzer-Horstmann, Olaf Reinhold, Opening
14:40-15:10
Arianna Freda, Davide Maestosi, Maurizio Naldi, Gaia Nicosia and Andrea Pacifici, Forecasting consent in organ donation: early assessment of machine-learning techniques
15:10-15:40
Gabriele S. Araujo, Omar Andres C. Cortes, Olaf Reinhold and Fabio M. F. Lobato, Hybrid Approaches for Pneumonia Detection in X-rays: Combining CNNs and ML Classifiers
15:40-16:10
Lukáš Boček and Lubomír Štěpánek., Machine learning for survival analysis: a comparative study on intensive care unit (ICU) patient data and simulations
September 15 (Monday), 16:30 - 18:30, Room 2
Session chairs: Carsta Militzer-Horstmann, Olaf Reinhold
16:30-17:00
Lubomír Seif, Ondřej Vít and Lubomír Štěpánek, Bias in Classical Life Tables Under Censoring: A Comparative Study With Kaplan-Meier Estimation and Actuarial Estimation Using Real and Simulated Data
17:00-17:20
Lucas Beckman, Cristiana De Muylder and Olaf Reinhold, Effects and challenges of Governance, Lean Healthcare and Digital Transformation in Outpatient Management: An integrative review
17:20-17:40
Ondřej Vít, Lubomír Seif and Lubomír Štěpánek., Claim Frequency Estimation in Motor Third-Party Liability (MTPL): Classical Statistical Models versus Machine Learning Methods
17:40-18:00
Fabio Berberi and Paolo Mercorelli, Domain-as-Particle with PSO Methods for Neural-Network Feature Weighting
18:00-18:20
Lallouani Bouchakour, Khaled Lounnas and Ahmed Krobba, Enhancing Arabic ASR in Noisy and Transcoding EVS Conditions: A Multimodal Deep Learning Study, [NSA]
Ivan Luković , New Education Challenges in Profiling Digital Experts for a Digital Economy Era
14:55 - 15:15
Naama Bouskila and Lihi Dery, Cognitive-Aware Peer Assessment: Design Implications from a Classroom Deployment
15:15 - 15:25
Linda Burchiellaro, Francesco Faenza and Claudia Canali, ELEVATE-AI: Evaluation of Learning Environments Via Assessment Tools Enhanced by AI
15:25 - 15:45
Boyan Bontchev, Sia Tsolova and Dessislava Vassileva, A Serious Game for Teaching Entrepreneurship and Strategic Management
15:45 - 16:00
Daniel Dan, Anna Wróblewska, Bartosz Grabek, Michał Taczała and Minoru Nakayama, Applications and Challenges of Artificial Intelligence in Educational Course Design and Delivery
Session chairs: Prof. dr hab.Witold Chmielarz; dr hab. inż. Anna Sołtysik-Piorunkiewicz, prof. UE Kat.
9:00 - 9:10
Introduction
9:10 - 9:30
Niklas Preiß and Markus Westner, From Agents to Copilots: A Systematic Review of Digital Assistant Technology Adoption in Proprietary Productivity Software
9:30 - 9:50
Anna Sołtysik-Piorunkiewicz, Małgorzata Pańkowska, Stanisław Stanek, Karsten Böhm and Mariusz Żytniewski, AI Software Security for Smart Environment in a Dynamically Changing Knowledge Management Strategy
9:50 - 10:10
Constanze Riedinger, Christopher Rentrop, Melanie Huber and Stephan Zimmermann, Leveraging Business-IT Collaboration: Effective Design and Challenges of the IT Business Partner Role
10:10 - 10:30
Tim Klos, Alessandra Zarcone, Christopher Rentrop, Constanze Riedinger, Niculin Prinz and Melanie Huber, Entangled by Design: A structured Overview of Management Challenges concerning AI Adoption in Organizations
10:30 - 10:50
Alisa Lorenz, A New Dimension of Acceptance? Introducing Perceived Public Value as Extension of UTAUT in the Smart City Context
Gloria Miller, Simultaneous Pursuit of Regulatory Compliance, Financial Benefits, and Societal Impacts in Artificial Intelligence (AI) Projects
9:35 - 10:00
Saleh Z. Alshehri, Natalia Beloff, & Martin White, Digital Transformation in Saudi Public Universities: A Novel Framework for Adoption Drivers and Impact Analysis
10:00 - 10:20
Bianka Šimková, Encouraging Sustainable Fashion Choices Through a Mobile Application
10:20 - 10:40
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
10:40 - 11:00
Henrique Pereira de Freitas Filho, Thiago Oliveira de Freitas, & Johnny Evangelista Figueiredo, SIG Denúncia – Web GIS of Popular Participation in the Public Administration
September 14 (Sunday), 11:30 - 13:30, Room 2
Session chairs: Christian Leyh
11:30 - 11:55
Paul Rozbitski, Christian Leyh, & Ching-Ho Ip, Addressing Skills Shortages through Low-Code/No-Code: Skill Profiles and Implementation Challenges
11:55 - 12:20
Piotr Przymus, Krzysztof Rykaczewski, Janusz Zieliński, & Łukasz Mikulski, Segmentation and Process Assignment of Semi-Structured Event Logs
12:20 - 12:40
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
12:40 - 13:00
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
13:00 - 13:20
Cristina Alejandra Barahona Cabrera, Olaf Reinhold, Tools for Implementing Social Innovation in the Circular Economy: Learnings from the CSS Boost Project
13:20 - 13:30
Closing of ITBS and ITBS Best Paper Awards: Ewa W. Ziemba & Gloria Miller
Mateusz Fronczyk and Mariusz Rawski, Hybrid mutation MTD solution with dedicated SDN agents, [NSA]
15:00 - 15:25
Rafał Wojszczyk, Aneta Hapka and Kacper Akdağ-Ochnik, Implementation of random number generator service with IoT device, [NEMESIS]
September 15 (Monday), 09:00 - 11:00, Room 3
Session chairs: Anna Felkner
09:00 - 09:10
Opening, [NEMESIS]
09:10 - 09:35
Artur Misztal, DivCrypt: A Structured Framework for Validating Cryptographic Implementations, [NEMESIS]
09:35 - 10:00
Daniel Gilkarov and Ran Dubin, AI-MTD: Zero-Trust Artificial Intelligence Model Security Based on Moving Target Defense, [NEMESIS]
10:00 - 10:25
János Litzinger, Daniel Peters, Florian Thiel and Florian Tschorsch, Utilization of Large Language Models for conformity assessment: Chances, Threats, and Mitigations, [NEMESIS]
10:25 - 10:50
Sangmin Kim, Byeongcheon Lee, Sungwoo Park, Miyoung Lee and Seungmin Rho, A Framework for Machine Unlearning Using Selective Knowledge Distillation into Soft Decision Tree, [NEMESIS]
Jānis Rihards Blazevičs, Oksana Nikiforova and Oscar Pastor, A Framework for Model-Driven AI-Assisted Generation of IT Project Management Plan and Scope Documents, [MDASD]
09:30 - 09:50
Nikolas Jíša and Robert Pergl, Towards a Framework for Systematic API Migrations, [APL]
09:50 -10:10
Aslı Taşgetiren and Ayça Kolukısa Tarhan, Challenges in Evaluating OSS Quality: Results from SLR on Quality Evaluation Tools, [APL, short paper]
10:10 - 10:30
Oğuzhan Tasçı and Tugba Gurgen Erdogan, Comparative Analysis of AI-Based and Traditional Software GitHub Repositories Using Process Mining, [S3E, short paper]
10:30 - 10:50
Panagiotis Papadeas, Dimitrios Gerokonstantis, Christos Hadjichristofi and Vassilios Vescoukis, Enhancing API documentation by inter-endpoint dependency graphs, [S3E]
September 15 (Monday), 14:30 - 16:00, Room 4
Session chairs: Ivan Luković
14:30 - 14:55
Alexander Fischer, Louis Burk, Ramin Tavakoli Kolagari and Uwe Wienkop, Machine-Readable by Design: Language Specifications as the Key to Integrating LLMs into Industrial Tools, [S3E]
14:55 - 15:20
Aleksandar S. Dimovski, While-guard Synthesis by Abstract Static Analysis and CHC Solving, [S3E]
15:20 - 15:40
Łukasz Kurant, Static components dependency graph detection with evaluation metrics in React.js projects, [S3E]
15:40 - 16:00
Jakub Jabůrek, Zdeněk Rybola and Petr Kroha, Towards OntoUML for Software Engineering: Transformation of Constraints into Various Relational Databases, [S3E]
Filip Martinović, Danijel Mlinarić, Juraj Dončević, Agneza Krajna and Ivica Botički, Towards Game Level Generation Through LLM and GAN
09:35 - 10:05
Sikandar Ali, Roberto Ciccocioppo, Massimo Ubaldi, Andrea Morichetta and Matteo Piersantelli, Enhancing Research Data Integrity Through Blockchain: Design and Implementation of a Web Based Management System
10:05 - 10:35
Naeem Ullah, Francisco Martínez-Álvarez, Ivanoe De Falco and Giovanna Sannino, Optimizing Deep Learning for Cotton Leaf Disease Detection Using Meta-Heuristic Feature Selection Algorithms
10:35 - 11:00
Muhammad Waris, Arsenio Cutolo Cutolo, Musarat Abbas and Mustafa Shah, Exploring Multi-Agent Reinforcement Learning for Cell Mechanics
September 14 (Sunday), 11:30 - 13:30, Room 1
Session chairs: Muddasar Naeem
11:30 - 12:00
Abdul Haseeb, Faheem Shehzad and Sidra Naseem, Enhanced GI Tract Cancer Diagnosis Using CNNs and Machine Learning Models
12:00 - 12:30
Umamah Bint Khalid, Mario Fiorino, Madiha Haider S. and Musarat Abbas, Evaluating Depression and Stress Among Young Adults Using DASS-21: Towards Personalized Intervention Strategies
12:30 - 13:00
Enza Curcio, Fabrizio Stasolla, Antonio Zullo, Mariacarla Di Gioia and Anna Passaro, Enhancing Socio-Emotional Skills in Children with Autism through AI-Powered Serious Games: A Narrative Review
13:00 - 13:30
Mustafa Shah, Arsenio Cutolo, Muddasar Naeem, Muhammad Waris and Musarat Abbas, An RL Agent to Find Minimum Energy in a Tensegrity Representing a Cell
