Giacomo Ignesti, Davide Moroni and Massimo Martinelli, Towards the actual deployment of robust, adaptable, and maintainable AI models for sustainable agriculture
09:25 - 9:40
Vojtěch Slezák, Kateřina Kuchaříková, Tomáš Kaplánek, Vojtěch Lukas and Jan Křen, Compare of weed detection algorithms using UAV imagery
09:55 - 10:15
Lorenzo Parigi, Gabriele Candiani, Ignazio Gallo, Piero Toscano and Mirco Boschetti, Towards crop traits estimation from hyperspectral data: evaluation of neural network models trained with real multi-site data or synthetic RTM simulations
10:15 - 10:30
Shurong Zhang, Alban Goupil, Valeriu Vrabie, Eric Perrin and Marie-Laure Panon, A bottom-up approach to select constrained spectral bands discriminating vine diseases
10:30 - 10:45
Manlio Bacco, Alexander Kocian, Antonino Crivello, Marco Gori, Giovanna Maria Dimitri, Paolo Barsocchi, Gianluca Brunori and Stefano Chessa, Agricultural Data Space: the METRIQA Platform and a Case Study in the CODECS project
10:45 - 11:00
Ruiming Xing, Baihua Li, Shirin Dora, Michael Whittaker and Janette Mathie, Stacking Ensemble Machine Learning Modelling for Milk Yield Prediction Based on Biological Characteristics and Feeding Strategies
11th September (Wednesday), 11:30-13:30, Room 2
Session chairs: Davide Moroni
11:30 - 11:45
Giacomo Ignesti, Davide Moroni and Massimo Martinelli., Plant-traits: how citizen science and artificial intelligence can impact environmental science
11:45 - 12:00
Giulia Cisotto, Dagmawi Delelegn Tegegn, Alberto Zancanaro, Ivan Reguzzoni, Edoardo Lotti, Sara L. Manzoni and Italo F. Zoppis. , An AI-empowered energy-efficient portable NIRS solution for precision agriculture: A pilot study on a citrus fruit
12:00 - 12:20
Savvas Karatsiolis, Pieris Panagi, Vassilis Vassiliades, Andreas Kamilaris, Nicolas Nicolaou and Efstathios Stavrakis. , Towards understanding animal welfare: A Chicken Farm Monitoring System for Inferring AI-powered Analytics
12:20 - 12:50
Jiří Pihrt, Petr Šimánek, Alexander Kovalenko, Jiří Kvapil and Karel Charvát. , AI-Based Spatiotemporal Crop Monitoring by Cloud Removal in Satellite Images
12:50 - 13:05
František Koutenský, Jiří Pihrt, Miroslav Čepek, Vojtěch Rybář, Petr Šimánek, Michal Kepka, Karel Jedlička and Karel Charvat. , Combining Local and Global Weather Data to Improve Forecast Accuracy for Agriculture
13:05 - 13:25
Miroslav Tomić, Marija Đukić, Slavica Kordić, Vladimir Dimitrieski and Ivan Luković., Prediction of Temperature and Precipitation Changes for Serbia Using Time Series Models with Machine Learning
11th September (Wednesday), 14:30-16:30, Room 2
Session chairs: Massimo Martinelli, Davide Moroni, Ales Prochazka and Karel Charvat
Eric Rudolph, Hanna Seer, Carina Mothes and Jens Albrecht, Automated feedback generation in an intelligent tutoring system for counselor education
09:30 - 10:00
Kristine Hein, Linked Labor Market Data: Towards a novel data housing strategy
10:00 - 10:30
Christian Gerhards and Myriam Baum, AI in the workplace: who is using it and why? A look at the driving forces behind artificial intelligence in German companies
9th September (Monday), 14:30-16:30, Room 3
Session chairs: Robert Helmrich
14:30 - 15:00
Thomas Reiser and Petra Steiner, Converting German Historical Legal Documents to TEI XML including challenges with Table Extraction
15:00 - 15:30
Kai Krüger and Lea Grüner, Exploring Linguistic and Cultural Differences in Online Job Advertisement Analysis for NLP Applications
15:30 - 16:00
Thomas Asselborn, Jens Dörpinghaus, Faraz Kausar, Ralf Möller and Sylvia Melzer, Enhancing Text Recognition of Damaged Documents through Synergistic OCR and Large Language Models
Marek Bělohoubek and Robert Pergl, Evolving the Enterprise Software Systems Landscape: Towards Anti-Patterns in Smalltalk-to-Java Code Transformation
09:35 - 10:05
Alvaro Costa Neto, Maria João Varanda Pereira and Pedro Rangel Henriques, An Ontology to Understand Programming Cocktails
10:05 - 10:35
Tiago Carvalho Freitas, Alvaro Costa Neto, Maria João Varanda Pereira and Pedro Rangel Henriques, Goliath, a Programming Exercises Generator Supported by AI
10:35 - 11:00
Tomaž Kosar, Srđa Bjeladinović, Dragana Ostojić, Milica Škembarević, Žiga Leber, Olga Jejić, Filip Furtula, Miloš Ljubisavljević, Ivan Luković and Marjan Mernik, Teaching Beginners to Program: should we start with block-based, text-based, or both notations?
Marek Palkowski and Mateusz Grużewski. , Automatic Generation of OpenCL Code through Polyhedral Compilation with LLM
15:30 – 16:00
Lubomír Štěpánek, Filip Habarta, Ivana Malá and Luboš Marek. , Non-parametric comparison of survival functions with censored data: A computational analysis of greedy and Monte Carlo approaches
16:00 – 16:30
Alexander Kammeyer, Florian Burger, Daniel Lübbert and Katinka Wolter. , HPC operation with time-dependent cluster-wide power capping
Milica Ikonić Nešić, Saša Petalinkar, Ranka Stanković, Miloš Utvić and Olivera Kitanović, SrpCNNeL: Serbian Model for Named Entity Linking
15:30 – 16:00
Teodora Mihajlov, Milica Ikonić Nešić, Ranka Stanković and Olivera Kitanović, Topic Modeling of the SrpELTeC Corpus: A Comparison of NMF, LDA, and BERTopic
16:00 – 16:30
Krystian Zawistowski, Unused information in token probability distribution of generative LLM: improving LLM reading comprehension through calculation of expected values
9th September (Monday), 9:00 – 11:00, Room 4
Session chairs: Marek Kubis
9:00 – 9:30
Paweł Gryka, Kacper Gradoń, Marek Kozłowski, Miłosz Kutyła and Artur Janicki, Impact of Spelling and Editing Correctness on Detection of LLM-Generated Emails
9:30 – 10:00
Jakub Hościłowicz, Paweł Popiołek, Jan Rudkowski, Jędrzej Bieniasz and Artur Janicki, Unconditional Token Forcing: Extracting Text Hidden Within LLM
10:00 – 10:30
Mateusz Czyżnikiewicz, Łukasz Bondaruk, Jakub Kubiak, Adam Wiącek, Łukasz Degórski, Marek Kubis and Paweł Skórzewski, Spoken Language Corpora Augmentation with Domain-Specific Voice-Cloned Speech
Stefka Fidanova, Leoneed Kirilov, Veselin Ivanov and Maria Ganzha, Hospital Patient Distribution After Earthquake
09:30 - 09:55
Lasko Laskov and Marin Marinov, Pareto Optimal Solutions of the Biobjective Minimum Length Minimum Risk Spanning Trees Problem
09:55 - 10:20
Stefan Engels and Robert Wille, Comparing Lazy Constraint Selection Strategies in Train Routing with Moving Block Control
10:20 - 10:45
Lubomír Štěpánek, Secretary problem revisited: Optimal selection strategy for top candidates using one try in a generalized version of the problem
10:45 - 11:00
Pei-Kun Yang and Jung-Hsin Lin, A generic method of pose generation in molecular docking via quadratic unconstrained binary optimization
10th September (Tuesday), 14:30 - 16:00, Room 3
Session chairs: Stefka Fidanova
14:30 - 14.55
Wagner Da Rocha, Therese Malliavin, Antonio Mucherino and Leo Liberti, Impact of Local Geometry on Methods for Constructing Protein Conformations
14:55 - 15:20
Meetkumar Pravinbhai Mangroliya, Jens Doerpinghaus and Robert Rockenfeller, Towards the analysis of errors in centrality measures in perpetuated networks
15:20 - 15:45
Tzvetan Ostromsky, Silvi-Maria Gurova and Meglena Lazarova, Sensitivity Analysis in Air Pollution Modeling Supported by High Performance Supercomputers
10th September (Tuesday), 16:30 - 18:00, Room 3
Session chairs: Stefka Fidanova
16:30 - 16:55
Alain Quilliot, Handling Lot Sizing/Job Scheduling Synchronization through Path Search Algorithms
16:55 - 17:20
Dena Tayebi, Saurabh Ray and Deepak Ajwani, An Improved Genetic Algorithm for Set Cover using Rosenthal Potential
17:20 - 17:45
Brannon King and Robert Hildebrand, Job Shop Scheduling with Integer Programming, Shifting Bottleneck, and Decision Diagrams: A Computational Study
Session chairs: Carsta Militzer-Horstmann and Olaf Reinhold
14:30 - 15:00
Diogen Babuc, A novel ensemble learning technique of shallow models applied on a COVID-19 dataset, [DSH]
15:00 - 15:30
Petar Zhivkov and Todor Kesarovski, Dynamic relationship between population densities and air quality in the four largest Norwegian cities, [DSH]
10th September (Tuesday), 16:30 - 18:00, Room 4
Session chairs: Carsta Militzer-Horstmann and Olaf Reinhold
16:30 - 17:00
Jenny Voigt, Jakob Hohn, Ekaterina Mut, Celine Schreiber, Sophia Mareike Geisler, Pauline Sophia Pinta, Alisa Hamm, Hamlet Kosakyan, Juliette-Michelle Burkhardt, Christian Hrach, Ulf-Dietrich Braumann, Franziska Stutzer, Hubert Österle, Bogdan Franczyk and Carsta Militzer-Horstmann, Conceptional Framework for the Objective Work-Related Quality of Life Measurement Through Multimodal Data Integration from Wearables and Digital Interaction, [DSH + ADTS]
17:00 - 17:30
Anas Motii and Mahmoud El Hamlaoui, MBSPI - A Model-Based Security Pattern Integration Approach for software architectures, [DSH + ADTS]
Filipe Alves, Rui Ribeiro, Maria Petiz, Ali Abbasi, Pedro Carvalho, Ricardo Faia, Pedro Faria, Zita Vale and Ricardo Rodrigues, Virtual Power Plant Optimization Service - Benchmark of Solvers (8403)
17:00 - 17:30
Filipe Moreira, Rosana Alexandre, Rosa Mariana Silva, João Oliveira, Manuel Alves, João Pereira, Ana Colim and Nelson Rodrigues, Towards to an interface design for a building operations CPS (2423)
Industrial Track
11th September (Wednesday), 9:00 – 11:00, Room reading room
Session chairs: Boris Delibašić
09:00 - 09:40
Banca Intesa, Ana Bosnić, Marko Stojićević and Nikola Milosavljević. Digital transformation: from silos to synergy
09:40 - 10:20
Nelt, Jovana Terzić and Nikola Pupovac. IT as a Partner in FMCG
10:20 - 11:00
ONLYOFFICE Ascensio Systems, Petar Živanov. Use of generative AI within office software
11th September (Wednesday), 11:30-13:30, Room reading room
11:30-12:10
Yettel Bank, Predrag Panić. Yettel bank: rise of digital banking in Serbia
12:10-12:50
Telekom Srbija - MTS, Katarina Đorđić and Katarina Janković. AI and ML in Telekom Customer Care
12:50-13:30
MVP Workshop, Petar Atanasovski. Continuous innovation & building new ventures from Serbia
Alexander Fischer, Juha-Pekka Tolvanen and Ramin Tavakoli Kolagari, Automotive Cybersecurity Engineering with Modeling Support
15:05 - 15:35
Twan Bolwerk, Marco Alonso and Mathijs Schuts, Using a Textual DSL With Live Graphical Feedback to Improve the CPS’ Design Workflow of Hardware Engineers
Session chairs: Aleksandar Rakićević and Dominik Ślęzak
14:30 - 14:40
Introduction to the section, [DSH]
14:40 - 15:00
Aleksandar M. Rakićević, Pavle D. Milosević, Ivana T. Dragović, Ana M. Poledica, Milica M. Zukanović, Andrzej Janusz and Dominik Ślęzak, Predicting Stock Trends Using Common Financial Indicators: A Summary of FedCSIS 2024 Data Science Challenge Held on KnowledgePit.ai Platform, [DSH]
15:00 - 15:20
Carlos Huertas, Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning, [DSH]
15:20 - 15:40
Quang Hieu Vu, Dymitr Ruta, Ling Cen and Ming Liu, FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach
15:40 - 16:00
Chang Lin, Key Financial Indicators Analysis and Stock Trend Forecasting Based on a Wrapper Feature Selection Method, [DSH + ADTS]
10th September (Tuesday), 16:30 - 18:00, Room 5
Session chairs: Aleksandar Rakićević and Pavle Milošević
16:30 - 16:40
Introduction to the special award, [DSH + ADTS]
16:40 - 17:00
Marcin Traskowski and Eyad Kannout, Forecasting Stock Trends with Feedforward Neural Networks, [DSH + ADTS]
17:00 - 17:20
Ming Liu, Ling Cen, Dymitr Ruta and Quang Hieu Vu, Exploring Stability and Performance of hybrid Gradient Boosting Classification and Regression Models in Sectors Stock Trend Prediction: A Tale of Preliminary Success and Final Challenge
17:20 - 17:40
Ty Gross, Arthur Allebrandt Werlang, Apeksha Poudel and Julian Roß, Searching Stable Solutions For Stock Predictions: A Stacking Approach
17:40 - 18:00
Bekzod Amonov, Divya Prima Crasta, Yatchun Fung and Moritz Flacke, Decoding Financial Data: Machine Learning Approach to Predict Trading Actions
Carina Geldhauser and Konstantin Malyshev. , Semi-automatic annotation of Greek majuscule manuscripts: Steps towards integrated transcription and annotation, [AI-HuSO]
09:25 - 09:50
Fabrizio Stasolla, Enza Curcio, Antonio Zullo, Anna Passaro and Maricarla Di Gioia., Integrating Artificial Intelligence-based programs into Autism Therapy: Innovations for Personalized Rehabilitation, [SL-SAS]
09:50 - 10:15
Azimkhon Ostonov and Mikhail Moshkov, Lower Bounds on Cardinality of Reducts for Decision Tables from Closed Classes, [RSTA]
10:15 - 10:40
Dragan Pamucar, Arunodaya Raj Mishra and Pratibha Rani, Applications of new q-rung orthopair fuzzy rough distance measures in pattern recognition and disease diagnosis problems, [RSTA]
10:40 - 11:00
Aditya Sengupta, LeAF: Leveraging Deep Learning for Agricultural Pest Detection and Classification for Farmers, [AgriAI]
11th September (Wednesday), 11:30-13:30, Room 4
Session chairs: Sandro Radovanović
11:30 - 11:50
Hidayet Burak Saritas and Geylani Kardas, A Blockchain-based Transaction Verification Infrastructure in Public Transportation, [S3E]
11:50 - 12:10
Burak Karaduman, Baris Tekin Tezel, Geylani Kardas and Moharram Challenger, DSML4JaCaMo: A Modelling tool for Multi-agent Programming with JaCaMo, [MDASD]
12:10 - 12:35
Taif Ghiwaa, Imran Khan, Martin White and Natalia Beloff, IoB-TMAF: Internet of Body-based Telemedicine Adoption Framework, [IoT-ECAW]
12:35 - 13:00
Richard Fechner and Jens Dörpinghaus, No Train, No Pain? Assessing the Ability of LLMs for Text Classification with no Finetuning, [AAIA]
13:00 - 13:25
Eunsun Smith, Yinxuan Wang and Eric Matson, Psychological Needs as Credible Song Signals: Testing Large Language Models to Annotate Lyrics, [AI-HuSO]
Jakob Jenko, Joao Pita Costa, Daniel Vladušič, Urban Bavčar and Radoš Čabarkapa, Learning from the COVID-19 Pandemic to Improve Critical Infrastructure Resilience using Temporal Fusion Transformers
10.00-10.30
Romaio Bratskas, Dimitrios Papachristos, Petros Savvidis, George Leventakis, Enea Qerama and George Dahrouje, Dashboard User interface (UI) Implementation for remote critical infrastructure inspection by using UAV/Satellite in times of pandemic
10.30-11.00
Nikolay Zherdev, Olivier Klein, Umberto Sconfienza, Philippe Gerber, Daniel Vladušič, Jethro Butler and Aljosa Pasic, A framework for enabling ex-ante social impact assessment of project-based technological solutions: the case of Remote Infrastructure Inspection
9th September (Monday), 14.30-16.30, Room 1
Session chairs: Aljosa Pasic
14.30-15.00
Pablo de Juan Fidalgo, Aljosa Pasic and Susana González Zarzosa, Dynamic Threat Intelligence for Improvement of Resilience of Critical Infrastructure During Pandemics
15.00-15.30
Guillaume Hutzler, Hanna Klaudel, Witold Klaudel, Franck Pommereau and Artur Rataj, An autonomous vehicle in a connected environment: case study of cyber-resilience
15.30-16.00
Andrey Sadovykh, Dragos Truscan, Martin Schneider, Wissam Mallouli, Cristina Seceleanu, Tanwir Ahmad and Ana Cavalli, Smart Assistants for Enhancing Resilience of Software and Hardware Development and Operation
Bogdana Stanojević, Milan Stanojević and Nebojša Nikolić, Extension-principle-based Solution Algorithm to Full LR-fuzzy Linear Programming Problems
09:20 - 09:40
Pavle Milošević, Aleksandar Rakićević, Milica Zukanović, Miroslav Hudec, Nina Barčáková and Eva Rakovská, The Synergy of Interpolative Boolean Algebra and Ordinal Sums of Conjunctive and Disjunctive Functions in Stock Price Trend Prediction
Phat Lam, Lam Pham, Tin Nguyen, Hieu Tang, Michael Seidl, Medina Andresel and Alexander Schindler, LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts
09:20 - 09:45
Julia Poray, Bogdan Franczyk and Thomas Heller, Model-Agnostic Machine Learning Model Updating – A Case Study on a real-world Application
09:45 - 10:10
Elena Filipovska, Ana Mladenovska, Merxhan Bajrami, Jovana Dobreva, Vellislava Hillman, Petre Lameski and Eftim Zdravevski, Benchmarking OpenAI's APIs and Large Language Models for Repeatable, Efficient Question Answering Across Multiple Documents
10:10 - 10:40
Arthur Ricardo Sousa Vitória, Murilo O. Guimarães, Daniel Fazzioni, Aldo A. Díaz-Salazar, Ana Laura S. A. Zara, Iwens G. Sene Junior and Renato F. Bulcão-Neto., A Machine Learning Approach for Anxiety and Depression Prediction Using PROMIS Questionnaires
10-th September (Tuesday), 14:30-16:00, Room 1
Session chairs: Rytis Maskeliunas
14:30 - 15:10
Jozo Dujmović, Graded Logic and Professional Decision Making
15:10 - 15:35
Rytis Maskeliunas and Robertas Damasevicius, d'Alembert Convolution for Enhanced Spatio-Temporal Analysis of Forest Ecosystems
15:35 - 16:00
Robertas Damasevicius, Rytis Maskeliunas and Ahmad Qurthobi, A Hybrid Machine Learning Model for Forest Wildfire Detection using Sounds
10-th September (Tuesday), 16:30-18:30, Room 1
Session chairs: Rytis Maskeliunas
16:30 - 16:55
Maciej Zyrek and Michal Kawulok, Task-driven single-image super-resolution reconstruction of document scan
16:55 - 17:20
Miloš Živadinović and Dejan Simić, Resource efficient Internet-of-Things intrusion detection with spiking neural networks
17:20 - 17:45
Özgün Akalın and Gülfem Isiklar Alptekin, Enhancing Airbnb Price Predictions with Location-Based Data: A Case Study of Istanbul
11-th September (Wednesday), 09:00-11:00, Room 1
Session chairs: Bogdana Stanojević
09:00 - 09:20
Bogdana Stanojević, Milan Stanojević and Nebojša Nikolić, Extension-principle-based Solution Algorithm to Full LR-fuzzy Linear Programming Problems
09:20 - 09:40
Pavle Milošević, Aleksandar Rakićević, Milica Zukanović, Miroslav Hudec, Nina Barčáková and Eva Rakovská, The Synergy of Interpolative Boolean Algebra and Ordinal Sums of Conjunctive and Disjunctive Functions in Stock Price Trend Prediction
Christian Leyh, Alisa Lorenz, Michael Jan Faruga, and Linda Koller., Critical Success Factors for ERP Projects Revisited: An Update of Literature Reviews
10:30 - 10:50
Julia Müller, Stefanie Würth, Thomas Schäffer, and Christian Leyh. , Toward a Framework for Determining Methods of Evaluation in Design Science Research
10:50 - 11:10
Elena-Ruxandra Luțan and Costin Bădică, Literature Books Recommender System using Collaborative Filtering and Multi-Source Reviews
8th September (Sunday), 12:00 - 14:00, Room 4
Session chairs: Mariusz Żytniewski
12:00 - 12:20
Wafa Alshammari, Natalia Beloff and Martin White, Assessing E-Learning Satisfaction in Saudi Higher Education Post-COVID-19: A Conceptual Framework for e-Services Impact Analysis
12:20 - 12:40
Fayez Alshahrani, Natalia Beloff, and Martin White, A Quantitative Study Using the ACC-PH Framework: Factors Affecting Cloud Computing Adoption in Saudi Private Hospitals
12:40 - 13:00
Ahmad Alghamdi, Natalia Beloff, and Martin White, Mixed-Methods Study of Arabic Online Review Influence on Purchase Intention (AOCR-PI)
13:00 - 13:20
Rasha Alsulami, Natalia Beloff, and Martin White, DTA-SAU: A Conceptual Framework for Digital Transformation Adoption in Saudi Arabian Universities
13:20 - 13:40
Mohammed Alqahtani, Natalia Beloff, and Martin White, Empirical Insights into Cloud Adoption: A new Model Exploring Influencing Factors for Saudi Arabian Small and Medium Enterprises
8th September (Sunday), 15:00 - 16:10, Room 4
Session chairs: Gloria Miller
15:00 - 15:20
Yahya Almazni, Natalia Beloff, and Martin White, Autism Spectrum Disorder Learning Application Framework (ASDLAF) Evaluation: ASD Users’ Perspectives
15:20 - 15:40
Małgorzata Pańkowska, Mariusz Żytniewski, Mateusz Kozak, Krzysztof Tomaszek and Dominik Spinczyk., Pathomorphological Diagnosis Process Modeling for Machine Learning Algorithms’ Applying
