Annals of Computer Science and Information Systems, Volume 30
Proceedings of the 17th Conference on Computer Science and Intelligence Systems
978-83-965897-0-5 (USB),
978-83-965897-1-2 (ART)
CFP2285N-USB (USB)
Preface
Dear Reader, it is our pleasure to present to you Proceedings of the 17th Conference on Computer Science and Intelligence Systems (FedCSIS’2022), which took place on September 4-7, 2022, in the hybrid mode.
The main Conference Chair of FedCSIS 2022 was Stefka Fidanova, while Nina Dobrinkova acted as 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 Polish Academy of Sciences, Warsaw University of Technology, Wrocław University of Economics and Institute of Information and Communication Technologies, Bulgarian Academy of Sciences.
FedCSIS 2022 was technically co-sponsored by: IEEE Bulgarian Section, 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, IEEE Poland Section Control System Society Chapter, Committee of Computer Science of the Polish Academy of Sciences, Mazovia Cluster ICT, Poland and Bulgarian Section of SIAM.
Moreover, last year the FedCSIS conference series formed the strategic alliance with QED Software, a Polish software company developing AI-based technologies and acting as the technological co-founder in the AI-driven start-ups. This collaboration has been continued.
During FedCSIS 2022, the keynote lectures were delivered by:
- Krassimir Atanassov, Bulgarian Academy of Sciences, Sofia, Bulgaria: “Remarks on index matrices”,
- Chris Cornelis, Ghent University, Department of Applied Mathematics, Computer Science and Statistics: “Hybridization of Fuzzy Sets and Rough Sets: Achievements and Opportunities”,
- Ivan Lukovic, University of Belgrade, Faculty of Organizational Sciences: “Organizational Capability for Information Management – Do We Feel a Big Data Crisis?”,
- Stefano Mariani on behalf of Franco Zambonelli (due to serious health issues encountered right before the conference), University of Modena e Reggio Emilia, Italy: “Individual and collective self-development”.
Moreover, this year, two special guests delivered invited talks:
- Bogusław Cyganek, who was awarded the 2021 Wiley-IEEE Press Award for his recent book “Introduction to Programming with C++ for Engineers”.
- Andrzej Skowron, who deliverd talk: “Rough Sets Turn 40: From Information Systems to Intelligent Systems”, which was devoted to the 40th anniversary of introduction, by late prof. Zdzisław Pawlak, of the theory of Rough Sets.
FedCSIS 2022 consisted of five Tracks and a special event for Doctoral School Students. Within each Track, topical Technical Sessions have been organized. Each Technical Session was split into fully on site and fully online sub-sessions. The on-site part of the conference took place in the facilities of the Crisis Management and Disaster Response Centre of Excellence in Sofia, Bulgaria.
Some of Technical Sessions have been associated with the FedCSIS conference series for many years, while some of them are relatively new. The role of the technical Sessions is to focus and enrich discussions on selected areas, pertinent to the general scope of each Track. The list of Tracks, and topical Technical Sessions organized within their scope, was as follows.
- Track 1 Artificial Intelligence in Applications (17th Symposium AAIA’22)
- Artificial Intelligence for Next-Generation Diagnostis Imaging (1st Workshop AI4NextGenDI'22)
- Artificial Intelligence in Machine Vision and Graphics (4th Workshop AIMaViG'22)
- Personalization and Recommender Systems (1st Workshop PeRS'22)
- Rough Sets: Theory and Applications (4th International Symposium RSTA'22)
- Computational Optimization (15th International Workshop WCO'22)
- Track 2: Computer Science & Systems (CSS’22)
- Computer Aspects of Numerical Algorithms (15th Workshop CANA'22)
- Concurrency, Specification and Programming (30th International Symposium CS&P'22)
- Multimedia Applications and Processing (15th International Symposium MMAP'22)
- Scalable Computing (12th Workshop WSC'22)
- Track 3: Network Systems and Applications (NSA’22)
- Complex Networks - Theory and Application (1st Workshop CN-TA'22)
- Internet of Things – Enablers, Challenges and Applications (6th Workshop IoT-ECAW’22)
- Cyber Security, Privacy, and Trust (3rd International Forum NEMESIS'22)
- Track 4: Advances in Information Systems and Technology (AIST’22)
- Data Science in Health, Ecology and Commerce (4th Workshop DSH'22)
- Information Systems Management (17th Conference ISM'22)
- Knowledge Acquisition and Management (28th Conference KAM'22)
- Track 5: Software and System Engineering (S3E’22)
- Cyber-Physical Systems (9th International Workshop IWCPS-9)
- Model Driven Approaches in System Development (7th Workshop MDASD'22)
- Software Engineering (42nd IEEE Workshop SEW-42)
- 7th Doctoral Symposium on Recent Advances in Information Technology (DS–RAIT'22)
Each contribution, found in this volume, was refereed by at least two referees and the acceptance rate of regular full papers was slightly below 19% (55 accepted contributions, out of 290 general submissions).
During FedCSIS 2022, for the second time, the Zdzisław Pawlak award was presented to the best papers from across the whole conference. It was done to further underscore the fact that scientific achievements of Professor Pawlak had gone far beyond Artificial Intelligence. The following contributions have been awarded in three categories:
- In the category Best paper: Kamil Rybiński (Warsaw University of Technology, Poland) and Michał Śmiałek (Warsaw University of Technology, Poland) for the paper: “Beyond Low-Code Development: Marrying Requirements Models and Knowledge Representations”.
- In the category Industry cooperation: Ghada Moualla (Orange Labs, France), Sebastien Bolle (Orange Labs, France), Marc Douet (Orange Labs, France) and Eric Rutten (INRIA, France) for the paper: “Self-adaptive Device Management for the IoT Using Constraint Solving”.
- In the category Young Researcher: Eyad Kannout (University of Warsaw, Poland), Michał Grodzki (University of Warsaw, Poland) and Marek Grzegorowski (University of Warsaw, Poland) for the paper: “Utilizing Frequent Pattern Mining for Solving Cold-Start Problem in Recommender Systems”.
Moreover, the Award Committee decided to fund two extra Young Researcher distinctions:
- Aleksandra Bączkiewicz (University of Szczecin, Poland) for the paper: “Towards Temporal Multi-Criteria Assessment of Sustainable RES Exploitation in European Countries”.
- Aleksandra Weiss (Scientific Circle of Robotics UWM in Olsztyn, Poland), Marcin Młyński (Scientific Circle of Robotics UWM in Olsztyn, Poland) and Piotr Artiemjew (University of Warmia and Mazury, Poland) for the paper: “About Classifiers Quality Assessment: Balanced Accuracy Curve (BAC) as an alternative for ROC and PR Curve”.
All the above awards and distinctions were jointly sponsored by the Mazovia Branch of the Polish Information Processing Society and by QED Software.
FedCSIS’22 also hosted the Data Mining Competition (already for the 5th time during the history of the FedCSIS conferences) co-organized by QED Software at the online platform KnowledgePit, and sponsored by Control System Software, a Polish company which develops decision support and optimization systems in the areas of transportation, spedition, and logistics.
The competition attracted 130 teams from 24 countries. The papers describing the most interesting solutions submitted to the competition were included in the FedCSIS 2022 proceedings in the special section of Track 1. The following papers represent the best solutions awarded by Control System Software:
- Paper describing the winning solution: Dymitr Ruta (Khalifa University, UAE), Ming Liu (Khalifa University, UAE), Ling Cen (Khalifa University, UAE), Quang Hieu Vu (VNG Corporation, Vietnam), “Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts”.
- Paper describing the 2nd best solution: Haitao Xiao, (Chinese Academy of Sciences, China), Yuling Liu (Chinese Academy of Sciences, China), Dan Du (Chinese Academy of Sciences, China), Zhigang Lu (Chinese Academy of Sciences, China), “An Approach for Predicting the Costs of Forwarding Contracts using Gradient Boosting”.
- Paper describing the 3rd best solution: Quang Hieu Vu (VNG Corporation, Vietnam), Ling Cen (Khalifa University, UAE), Dymitr Ruta (Khalifa University, UAE), Ming Liu (Khalifa University, UAE), “Key Factors to Consider when Predicting the Costs of Forwarding Contracts”.
- Paper describing the most practical solution: Sławomir Pioroński (Adam Mickiewicz University, Poland), Tomasz Górecki (Adam Mickiewicz University, Poland), “Using gradient boosting trees to predict the costs of forwarding contracts”.
The program of FedCSIS 2022 required a dedicated effort of many people. We would like to express our warmest gratitude to all Committee members, of each Track and each Technical Session, for their hard work in attracting and later refereeing 290 submissions.
We thank the authors of papers for their great contribution to the theory and practice of computing and intelligence systems. We are grateful to the invited speakers for sharing their knowledge and wisdom with the participants.
Last, but not least, we thank Stefka Fidanova and Nina Dobrinkova. It should be stressed that they made all the preparations to organize the conference in Bulgaria for three years in a row, while only in 2022 the conference actually happened there. They also worked with us diligently to adapt the conference formula to organize it in hybrid mode. 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 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023) which will take place in Warsaw, Poland on September 17-20, 2023.
Co-Chairs of the FedCSIS Conference Series
Maria Ganzha, Warsaw University of Technology, Poland, and Systems Research Institute Polish Academy of Sciences, Warsaw, Poland.
Leszek Maciaszek, Macquarie University, Sydney, Australia.
Marcin Paprzycki, Systems Research Institute Polish Academy of Sciences, Warsaw Poland, and Management Academy, Warsaw, Poland.
Dominik Ślęzak, Institute of Informatics, University of Warsaw, Poland.
Conference Invited Contributions
- Keynote Papers
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Two new operations over extended index matrices and their applications in Big Data
300 Big Data, Extended index matrix, Operation Krassimir Atanassov, Veselina Bureva, pages 1–6. -
Hybridization of Fuzzy Sets and Rough Sets: Achievements and Opportunities
302 Fuzzy Sets, Rough Sets, Fuzzy Rough Hybridization, Fuzzy Quantifiers, Granular Computing, Rule Induction, XAI Chris Cornelis, pages 7–14. -
Individual and Collective Self-Development: Concepts and Challenges
301 self-development, sense of agency, learning, self-adaptation, self-organization Marco Lippi, Stefano Mariani, Matteo Martinelli, Franco Zambonelli, pages 15–21. - Anniversary Paper
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Rough Sets Turn 40: From Information Systems to Intelligent Systems
310 Rough Sets, Information Systems, Data Mining, Big Data, Interactive Granular Computing, Intelligent Systems Andrzej Skowron, Dominik Ślęzak, pages 23–34. - IEEE Award Paper
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Modern C++ in the era of new technologies and challenges—why and how to teach modern C++?
308 C++, modern technologies, compilers, programming teaching Bogusław Cyganek, pages 35–40.
17th International Symposium on Advanced Artificial Intelligence in Applications
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A novel link prediction approach on clinical knowledge graphs utilizing graph structures
36 Knowledge Graphs, link prediction, Clinical Data, CRF Jens Dörpinghaus, Tobias Hübenthal, Jennifer Faber, pages 43–52. -
Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results
53 NER, NLP, Neural Networks, Sequence Tagging, XLM-R, Machine Learning, Transformer Models Ridewaan Hanslo, pages 53–60. -
Demand forecasting in the fashion business — an example of customized nearest neighbour and linear mixed model approaches
256 demand forecasting, nearest neighbour, linear mixed model, ensemble model, fashion sales forecasting Joanna Henzel, Łukasz Wawrowski, Anna Kubina, Marek Sikora, Łukasz Wróbel, pages 61–65. -
Improving Re-rankCCP with Rules Quality Measures
127 Context-awareness, Recommendation systems, Rules quality measures Piotr Jezusek, Aleksandra Karpus, pages 67–71. -
Using Transformer models for gender attribution in Polish
197 Text Classification, Natural Language Processing, Gender Identification Karol Kaczmarek, Jakub Pokrywka, Filip Graliński, pages 73–77. -
A Comparative Study of Short Text Classification with Spiking Neural Networks
184 short text classification, spiking neural networks, evolving spiking neural networks, NeuCube, SNNTorch, medical documents, PubMed documents Piotr S. Maciąg, Wojciech Sitek, Łukasz Skonieczny, Henryk Rybiński, pages 79–88. -
Rule-based approximation of black-box classifiers for tabular data to generate global and local explanations
258 XAI, rule-based approximation, rule quality measures, importance of rule's elementary conditions, global and local explanations Cezary Maszczyk, Michal Kozielski, Marek Sikora, pages 89–92. -
Automatic detection of potential customers by opinion mining and intelligent agents
131 Sentiment Analysis, Natural Language Processing, Intelligent Agents, Customer detection, Tourism system Raúl Moreno, Alberto Fernandez-Isabel, Isaac Martín De Diego, Javier M. Moguerza, Carmen Lancho, Marina Cuesta Santa Teresa, pages 93–101. -
An Automated Algorithm for Fruit Image Dataset Building
58 data generation, deep learning, object detection Horea-Bogdan Mureșan, pages 103–107. -
NiaNet: A framework for constructing Autoencoder architectures using nature-inspired algorithms
192 AutoML, autoencoder, deep learning, nature-inspired algorithms, optimization Sašo Pavlič, Iztok Fister Jr., Sašo Karakatič, pages 109–116. -
Aspects of autonomous drive control using NVIDIA Jetson Nano microcomputer
89 NVIDIA Jetson Nano, autonomous driving, neural networks, object detection Kacper Podbucki, Tomasz Marciniak, pages 117–120. -
Temporal Language Modeling for Short Text Document Classification with Transformers
174 Natural Language Processing, Machine Learning Challenges, Language Modeling, Temporal Classification Jakub Pokrywka, Filip Graliński, pages 121–128. -
An End-to-end Machine Learning System for Mitigating Checkout Abandonment in E-Commerce
167 E-Commerce, Checkout Prediction, Checkout, Abandonment, Decision Support, Explainable AI (XAI), LIME, XGBoost, Catboost, LightGBM Md Rifatul Islam Rifat, Md Nur Amin, Mahmud Hasan Munna, Abdullah Al Imran, pages 129–132. -
Reinforcement Learning for on-line Sequence Transformation
70 Neural Machine Translation, Simultaneous Machine Translation, Reinforcement Learning Grzegorz Rypeść, Łukasz Lepak, Paweł Wawrzyński, pages 133–139. -
Applying SoftTriple Loss for Supervised Language Model Fine Tuning
185 natural language processing, deep learning, SoftTriple Loss, distance metric learning Witold Sosnowski, Anna Wróblewska, Piotr Gawrysiak, pages 141–147. -
About Classifiers Quality Assessment: Balanced Accuracy Curve (BAC) as an alternative for ROC and PR Curve
262 Balanced accuracy curve, ROC curve, PR curve, kNN Aleksandra Weiss, Marcin Młyński, Piotr Artiemjew, pages 149–156. -
Extending Word2Vec with Domain-Specific Labels
37 word embeddings, antonym detection, natural language processing Miloš Švaňa, pages 157–160.
1st Workshop on Artificial Intelligence for Next-Generation Diagnostic Imaging
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Development of an AI-based audiogram classification method for patient referral
66 classification, RNN, LSTM, hearing loss, audiogram Michał Kassjański, Marcin Kulawiak, Tomasz Przewoźny, pages 163–168. -
Canine age classification using Deep Learning as a step towards preventive medicine in animals
226 machine learning, artificial intelligence, neural networks, veterinary, biological age, age assessment, dog age, health staus assessment Szymon Mazurek, Maciej Wielgosz, Jakub Caputa, Rafał Frączek, Michał Karwatowski, Jakub Grzeszczyk, Daria Łukasik, Anna Śmiech, Paweł Russek, Ernest Jamro, Agnieszka Dąbrowska-Boruch, Marcin Pietroń, Sebastian Koryciak, Kazimierz Wiatr, pages 169–172.
4th International Workshop on Artificial Intelligence in Machine Vision and Graphics
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On the Feasible Regions Delimiting Natural Human Postures in a Novel Skeletal Representation
11 Motion, Motion retargeting (motion-adaptation), BVH-files, Euler-angle representation, Vector-torsion angle representation, Motion analysis, Joint flexibility analysis, Motion capture data analysis Simon Hengeveld, Antonio Mucherino, pages 175–179. -
A lightweight approach to two-person interaction classification in sparse image sequences
195 interaction classification, ensemble classifier, pose estimation, video analysis Włodzimierz Kasprzak, Van Khanh Do, Paweł Piwowarski, pages 181–190. -
Geometry-Aware Keypoint Network: Accurate Prediction of Point Features in Challenging Scenario
145 pose estimation, keypoints, uncertainty prediction, deep learning, architecture design Tomasz Nowak, Piotr Skrzypczyński, pages 191–200. -
Analysis of Brain Tumor Using MRI Images
69 Brain Tumor Classification, Medical Imaging, Magnetic Resonance Imaging, Convolutional Neural Networks, Machine Learning, Deep learning Lewi Uberg, Seifedine Kadry, pages 201–204. -
Insights into Neural Architectures for Learning Numerical Concepts from Simple Visual Data
48 counting, numerical abstractions, visual data, neural architectures Andrzej Śluzek, pages 205–209.
1st Workshop on Personalization and Recommender Systems
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User Experience and Multimodal Usability for Navigation Systems
252 navigation systems, human-computer interaction methods, user experience, multimodal usability, effectiveness and Efficiency Lumbardha Hasimi, Aneta Poniszewska-Marańda, pages 213–216. -
Utilizing Frequent Pattern Mining for Solving Cold-Start Problem in Recommender Systems
86 recommendation system, cold-start problem, frequent pattern mining, quality of recommendations Eyad Kannout, Michał Grodzki, Marek Grzegorowski, pages 217–226. -
Learning edge importance in bipartite graph-based recommendations
191 Recommender Systems, Collaborative Filtering, RP3Beta, Graph-based recommendations Robert Kwieciński, Tomasz Górecki, Agata Filipowska, pages 227–233. -
Personality Prediction from Social Media Posts using Text Embedding and Statistical Features
133 personality prediction, document embedding, self-attention Seiyu Majima, Konstantin Markov, pages 235–240.
4th International Symposium on Rough Sets: Theory and Applications
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Three-way Learnability: A Learning Theoretic Perspective on Three-way Decision
18 Three-way Decision, Uncertainty Representation, Machine Learning, Computational Learning Theory Andrea Campagner, Davide Ciucci, pages 243–246. -
On Multiplicative, Additive and Qualitative Pairwise Comparisons
57 pairwise comparison, consistency, weights calculation, qualitative judgements Ryszard Janicki, Mahmoud Mahmoud, pages 247–251. -
Malware Evolution and Detection Based on the Variable Precision Rough Set Model
266 Malware Evolution, Malware Detection, Rough Sets, Bi-level Optimization Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said, pages 253–262. -
Multi-Criteria Decision-Making with Linguistic Labels
218 optimization, multi-criteria decision-making, fuzzy sets, linguistic labels Alicja Mieszkowicz-Rolka, Leszek Rolka, pages 263–267. -
Fuzzy Quantifier-Based Fuzzy Rough Sets
231 rough sets, fuzzy sets, fuzzy quantifiers, Choquet integral Adnan Theerens, Chris Cornelis, pages 269–278. -
Feature Selection and Ranking Method based on Intuitionistic Fuzzy Matrix and Rough Sets
261 Intuitionistic fuzzy preference relation, feature ranking, reducts, rough sets. Bich Khue Vo, Hung Son Nguyen, pages 279–288.
15th International Workshop on Computational Optimization
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GaMeDE2 — improved Gap–based Memetic Differential Evolution applied to multi–modal optimisation
153 Multi-Modal Optimization, Memetic Algorithm, Gap selection, Differential Evolution, deceptive functions Michał Antkiewicz, Pawel Myszkowski, Maciej Laszczyk, pages 291–300. -
A chance-constraint approach for optimizing social engagement-based services
235 Social Engagement, Crowd Shipping, Opportunistic Internet of Things, Chance Constraint Optimization Michel Bierlaire, Edoardo Fadda, Lohic Fotio Tiotsop, Daniele Manerba, pages 301–304. -
Independent Component Analysis Based on Jacobi Iterative Framework and L1-norm Criterion
157 ICA, PCA, L1-norm, Jacobi rotations, negentropy Adam Borowicz, pages 305–312. -
The electric vehicle shortest path problem with time windows and prize collection
186 Electric vehicle, Shortest path, Hard time windows, Prize collection, A star algorithm Antonio Cassia, Ola Jabali, Federico Malucelli, Marta Pascoal, pages 313–322. -
Analyzing longitudinal Data in Knowledge Graphs utilizing shrinking pseudo-triangles
45 Knowledge Graphs, Graph Versioning, Longitudinal Data, Multi-layer Graph, Shrinking Triangles, Efficient Algorithms Jens Dörpinghaus, Vera Weil, Johanna Binnewitt, pages 323–327. -
Agricultural System Modelling with Ant Colony Optimization
10 Agricultural System Modelling, Bio-economic farm model, Ant Colony Optimization, Metaheuristics Stefka Fidanova, Ivan Dimov, Denitsa Angelova, Maria Ganzha pages 329–332. -
A GPU approach to distance geometry in 1D: an implementation in C/CUDA
6 GPU programming, distance geometry, matrix-by-vector, CUDA, optic computing Simon B. Hengeveld, Antonio Mucherino, pages 333–336. -
A Multi-objective Cluster-based Biased Random-Key Genetic Algorithm with Online Parameter Control Applied to Protein Structure Prediction
21 Bioinformatics, Multi-objective Optimization, Evolutionary Computation, Clustering, Online Parameter Tuning, Protein Structure Prediction Felipe Marchi, Rafael Stubs Parpinelli, pages 337–346. -
Team Orienteering Problem with Time Windows and Variable Profit
158 Team Orienteering Problem, Time Windows, Variable Profit, Iterated Local Search Eliseo Marzal, Laura Sebastia, pages 347–350. -
Subcaterpillar Isomorphism: Subtree Isomorphism Restricted Pattern Trees To Caterpillars
113 subcaterpillar isomorphism, subtree isomorphism, rooted labeled caterpillar, rooted labeled tree Tomoya Miyazaki, Kouichi Hirata, pages 351–356. -
Improving N-NEH+ algorithm by using Starting Point method
103 Optimization, Scheduling, PFSP, N-NEH+ algorithm, Starting Point method Radosław Puka, Bartosz Łamasz, Iwona Skalna, pages 357–361. -
Boosting a Genetic Algorithm with Graph Neural Networks for Multi-Hop Influence Maximization in Social Networks
78 multi-hop influence maximization, graph neural network, biased random key genetic, hybrid methods Camilo Chacón Sartori, Christian Blum, pages 363–371. -
Stackelberg Strategies for Weighted Load Balancing Games
52 Algorithmic Game Theory, Scheduling, Price of Anarchy, Heuristics Neta Stein, Tami Tamir, pages 373–382. -
Intuitionistic Fuzzy Model of the Hungarian Algorithm for the Salesman Problem and Software Analysis of a Shipping Company Example
189 Index Matrices, Intuitionistic Fuzzy Logic, Hungarian Method, Travelling Salesman Problem Velichka Traneva, Deyan Mavrov, Stoyan Tranev, pages 383–386. -
Software Implementation of the Optimal Temporal Intuitionistic Fuzzy Algorithm for Franchisee Selection
149 Decision Making, Franchising, Index Matrix, Intuitionistic Fuzzy Logic Velichka Traneva, Deyan Mavrov, Stoyan Tranev, pages 387–390.
Data Mining Competiton
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KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions
309 Data mining competitions, machine learning, model stacking, KnowledgePit platform, BrightBox technology Andrzej Janusz, Dominik Ślęzak, pages 393–398. -
Predicting the Costs of Forwarding Contracts: Analysis of Data Mining Competition Results
303 data mining competitions, costs of forwarding contracts, regression models, model stacking, KnowledgePit platform, BrightBox technology Andrzej Janusz, Antoni Jamiołkowski, Michał Okulewicz, pages 399–402. -
Considering various aspects of models’ quality in the ML pipeline - application in the logistics sector
296 XGBoost, Dimensionality reduction, Ensemble blending, Feature selection, Feature extraction, MOO, MCDA, Logistics Eyad Kannout, Michał Grodzki, Marek Grzegorowski, pages 403–412. -
Prediction of the Costs of Forwarding Contracts with Machine Learning Methods
298 forwarding contracts, data preprocessing, machine learning Stanisław Kaźmierczak, pages 413–416. -
XGBoost meets TabNet in Predicting the Costs of Forwarding Contracts
294 Costs of Forwarding Contracts, XGBoost, TabNet Aleksandra Lewandowska, pages 417–420. -
Using gradient boosting trees to predict the costs of forwarding contracts
299 forwarding contracts, LightGBM, data mining competition Sławomir Pioroński, Tomasz Górecki, pages 421–424. -
Predicting the Costs of Forwarding Contracts Using XGBoost and a Deep Neural Network
295 Costs of Forwarding Contracts, XGBoost, deep neural network, LSTM Łukasz Podlodowski, Marek Kozłowski, pages 425–429. -
Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts
291 Cost Prediction of Forwarding Contracts, Gradient Boosting Trees, CatBoost, XGBoost, LightGBM, Stacking, Diversity, Model Diversification, Ensemble Learning Dymitr Ruta, Ming Liu, Ling Cen, Quang Hieu Vu, pages 431–436. -
Application of Diversified Ensemble Learning in Real-life Business Problems: The Case of Predicting Costs of Forwarding Contracts
297 Costs of Forwarding Contracts, explainability, prediction ensembles Milena Trajanoska, Pavel Gjorgovski, Eftim Zdravevski, pages 437–446. -
Key Factors to Consider when Predicting the Costs of Forwarding Contracts
293 Logistics, Forwarding Contract Cost Prediction, Gradient Boosting Trees, XGBoost, LightGBM, Linear Regression, Feature Engineering, Post-Processing Quang Hieu Vu, Ling Cen, Dymitr Ruta, Ming Liu, pages 447–450. -
An Approach for Predicting the Costs of Forwarding Contracts using Gradient Boosting
292 cost prediction, gradient boosting, model ensemble Haitao Xiao, Yuling Liu, Dan Du, Zhigang Lu, pages 451–454.
Computer Science and Systems
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Block Subspace Iteration Method for Structural Analysis on Multicore Computers
42 algebraic eigenvalue problem, multithreaded parallelization, finite element method, structural dynamics Sergiy Fialko, pages 457–465. -
Flexible user query order for the speculative query support in RDBMS
154 sql query optimization, speculative execution, multithreaded execution Anna Sasak-Okoń, pages 467–471.
15th Workshop on Computer Aspects of Numerical Algorithms
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Automatic code optimization for computing the McCaskill partition functions
4 McCaskill partition functions, loop tiling, compilers, RNA folding, bioinformatics, automatic optimization, parallel computing Wlodzimierz Bielecki, Marek Palkowski, Maciej Poliwoda, pages 475–478. -
Influence of loop transformations on performance and energy consumption of the multithreded WZ factorization
251 energy saving, energy consumption, RAPL, WZ factorization, multicore architecture Beata Bylina, Jarosław Bylina, Monika Piekarz, pages 479–488. -
A short note on post-hoc testing using random forests algorithm: Principles, asymptotic time complexity analysis, and beyond
265 random forests, post-hoc testing, tree pruning, tree complexity, asymptotic time complexity, analysis of covariance, first-type error rate reduction Lubomír Štěpánek, Filip Habarta, Ivana Mala, Luboš Marek, pages 489–497.
30th International Symposium on Concurrency, Specification and Programming
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An observation on pure strategies in Security Games
219 Game Theory, Security Games, Pure strategies, Games in extended form, Stackelberg Games Marek Adrian, Gianluigi Greco, pages 501–504. -
Formal analysis of timeliness in the RaSTA protocol
176 RaSTA, Uppaal, Timed Automata, Formal Verification, Timeliness Billy Naumann, Christine Jakobs, Matthias Werner, pages 505–514. -
Channel-Less Process Communication
212 process, channel, message, communication, expressivity, simulation, OCCAM Tomas Plachetka, pages 515–519. -
Improvement of design anti-pattern detection with spatio-temporal rules in the software development process
211 design anti-pattern detection, software development, spatio-temporal rules, software evolution Łukasz Puławski, pages 521–528.
15th International Symposium on Multimedia Applications and Processing
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A Modified ICP Algorithm Based on FAST and Optical Flow for 3D Registration
28 ICP, Registration, Augmented Reality Konrad Koniarski, Andrzej Myśliński, pages 531–534. -
Hierarchical data structures in rendering scenes containing a massive number of light sources
92 3D graphics, spatial data structures, octree, optimization, shading, lighting Andrzej Lamecki, Krzysztof Kaczmarski, Joanna Porter-Sobieraj, pages 535–544. -
Encrypting JPEG-compressed images by substituting Huffman code words
217 encryption, cipher, JPEG, image, entropy coding, Huffman, VLC, code, word Marek Parfieniuk, pages 545–549.
12th Workshop on Scalable Computing
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Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing
225 Distributed Stream Processing, Chaos Engineering, Quality of Service, Cloud, Parallel Profiling, QoS Modeling, Runtime Optimization Morgan Geldenhuys, Ben Pfister, Dominik Scheinert, Lauritz Thamsen, Odej Kao, pages 553–561. -
Increasing data availability and fault tolerance for decentralized collaborative data-sharing systems
183 global data access, decentralized systems, data availability, collaborative systems, distributed ledger, data replication Kamil Jarosz, Łukasz Opioła, Łukasz Dutka, Renata G. Słota, Jacek Kitowski, pages 563–566.
Network Systems and Applications
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An Integer Programming Approach Reinforced by a Message-passing Procedure for Detecting Dense Attributed Subgraphs
64 Graph partitioning, Network analysis, Integer programming, Message passing, Local search Arman Ferdowsi, pages 569–576. -
Location Accuracy of a Ground Station based on RSS in the Rice Channel
15 Rice, UAV, Location, Moving Average, Kalman Jarosław Michalak, pages 577–580.
1st Workshop on Complex Networks: Theory and Application
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The effectiveness analysis of selected IT tools for predictions of the COVID-19 pandemic
65 COVID-19, ARIMA model, ETS model, complexity, prediction Paweł Dymora, Mirosław Mazurek, Kamil Łyczko, pages 583–586. -
Denotational Model and Implementation of Scalable Virtual Machine in CPDev
236 intermediate language, denotational semantic model, virtual machine, IEC 61131 standard Jan Sadolewski, Bartosz Trybus, pages 587–591. -
Room mapping system using RFID and mobile robots
248 RFID, Mapping, Mobile robot Mariusz Skoczylas, Łukasz Gotówko, Mateusz Salach, Bartosz Trybus, Marcin Hubacz, Bartosz Pawłowicz, pages 593–597.
6th Workshop on Internet of Things - Enablers, Challenges and Applications
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Wireless Agent-based Distributed Sensor Tuple Spaces using Bluetooth and IP Broadcasting
119 Distributed Data Processing, Tuple Spaces, Sensor Networks, Internet of Things, Multi-agent Systems Stefan Bosse, pages 601–604. -
Resource Partitioning in Phoenix-RTOS for Critical and Noncritical Software for UAV systems
163 Critical Software, Microkernel, DO-178C, RTOS, APEX Hubert Buczyński, Paweł Pisarczyk, Krzysztof Cabaj, pages 605–609. -
Data Exchange Protocol for Cryptographic Key Distribution System Using MQTT Service
260 key distribution system, security in IoT, MQTT secure data exchange, Trusted Platform, Module Janusz Furtak, pages 611–615. -
Formal verification of security properties of the Lightweight Authentication and Key Exchange Protocol for Federated IoT devices
169 Federated IoT, Formal verification, Distributed Ledger, Hyperledger Fabric, Authentication of IoT, Key Exchange Michał Jarosz, Konrad Wrona, Zbigniew Zieliński, pages 617–625. -
Secure Onboarding and Key Management in Federated IoT Environments
173 Secure Onboarding and Key Management, modified Okamoto-Tanaka, Federated IoT, Distributed Ledger Krzysztof Kanciak, Konrad Wrona, Michał Jarosz, pages 627–634. -
Anomaly detection on compressed data in resource-constrained smart water meters
123 Data compression, Anomaly detection, Constrained systems, Edge computing, Privacy preservation Sarah Klein, Anna Hristoskova, Annanda Rath, Renaud Gonce, pages 635–639. -
Self-adaptive Device Management for the IoT Using Constraint Solving
80 Internet of things, Device management, Constraint programming, Autonomic Computing, Privacy, Self-adaptive architecture Ghada Moualla, Sebastien Bolle, Marc Douet, Eric Rutten, pages 641–650.
3rd International Forum on Cyber Security, Privacy and Trust
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Heuristic Risk Treatment for ISO/SAE 21434 Development Projects
136 risk treatment, ISO 21434, Taxonomy, Security Christine Jakobs, Matthias Werner, Karsten Schmidt, Gerhard Hansch, pages 653–662. -
Universal Key to Authentication Authority with Human-Computable OTP Generator
71 authentication, lattice-based cryptography, OTP, secret key Sławomir Matelski, pages 663–671. -
Low-complexity access control scheme for MEC-based services
55 5G mobile networks, access control, Multi-access Edge Computing (MEC), MEC Enabler Mariusz Sepczuk, Zbigniew Kotulski, Wojciech Niewolski, Tomasz Nowak, pages 673–681.
Advances in Information Systems and Technologies
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A Blockchain-Based Self-Sovereign Identity Approach for Inter-Organizational Business Processes
194 Blockchain, BPMN, IOBP, Self-Sovereign Identity Amal Abid, Saoussen Cheikhrouhou, Slim Kallel, Mohamed Jmaiel, pages 685–694. -
Students’ Online Behaviour in the Time of the COVID-19 Pandemic: Insights from Poland and Ukraine
134 Poland, Ukraine, COVID-19 pandemic, students, technical inclusion, gender Dariusz Dymek, Svitlana Didkivska, Mariusz Grabowski, Grażyna Paliwoda-Pękosz, Tetiana Anatoliivna Vakaliuk, pages 695–699. -
A Look at Evolution of Teams, Society, Smart Cities, and Information Systems based on Patterns of Primary, Adaptable, Information, and Creative Society
34 Information System Development, Society Development, Post-Information Society, Creativity Society, Smart Cities Dmitriy Gakh, pages 701–704. -
Identifying Reliable Sources of Information about Companies in Multilingual Wikipedia
259 Wikipedia, information quality, DBpedia, Wikidata, information sources, reliability, reputation Włodzimierz Lewoniewski, Krzysztof Węcel, Witold Abramowicz, pages 705–714. -
Modelling an IT solution to anonymise selected data processed in digital documents
49 anonymisation, digital documents, law firms Barbara Probierz, Tomasz Jach, Jan Kozak, Radosław Pacud, Tomasz Turek, pages 715–719. -
Performance Management of IT Professionals: A Humanistic Model
220 performance management, performance appraisal, IT professional, humanism, model Marcus Vinicius Alencar Terra, Vanessa Tavares de Oliveira Barros, Rodolfo Miranda de Barros, pages 721–729.
4th Workshop on Data Science in Health, Ecology and Commerce
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Encoder-Decoder Neural Network with Attention Mechanism for Types Detection in Linked Data
209 Type prediction, RDF, Linked Data, Deep learning, Attention mechanism Oussama Hamel, Messaouda Fareh, pages 733–739. -
Multi-agent model of trust dissemination based on optimistic and pessimistic fuzzy aggregation norms
182 Trust dissemination, multi-agent model, fuzzy aggregation norms, scientific contribution to science Aleksandra Mrela, Oleksandr Sokolov, Maryla Bieniek-Majka, Veslava Osinksa, Wlodzislaw Duch, pages 741–744. -
Detecting Symptoms of Dementia in Elderly Persons using Features of Pupil Light Reflex
17 Pupil, Pupil Light Reflex, Alzheimer's disease, feature extraction, logistic regression Minoru Nakayama, Wioletta Nowak, Anna Zarowska, pages 745–749. -
Artificial Intelligence in Personalized Healthcare Analysis for Womens’ Menstrual Health Disorders
59 menstrual disorders, menstrual cycles anomaly recognition algorithms, granular computing, fuzzy linguistic summaries, fuzzy sets, ontology, similarity, network of fuzzy comparators Łukasz Sosnowski, Joanna Żuławińska, Soma Dutta, Iwona Szymusik, Aleksandra Zyguła, Elżbieta Bambul-Mazurek, pages 751–760.
17th Conference on Information Systems Management
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Optimization of Processes for Shared Cars
87 Sharing of e-Vehicles, One-way Trips and Relocations, Mixed-Integer Programming Janis Bicevskis, Ivo Odītis, Zane Bicevska, Viesturs Spulis, pages 763–767. -
Towards Temporal Multi-Criteria Assessment of Sustainable RES Exploitation in European Countries
180 Multi-criteria temporal assessment, SPOTIS, SWARA, Sustainability, Renewable energy sources Aleksandra Bączkiewicz, pages 769–772. -
Process-oriented documentation of user requirements for analytical applications - challenges, state of the art and evaluation of a service-based configuration approach
181 analytical service, requirements documentation, operational BI, operational analytics, conceptual modeling, software configuration, conceptual configuration Christian Hrach, Rainer Alt, Stefan Sackmann, pages 773–782. -
A novel iterative approach to determining compromise rankings
255 TOPSIS, VIKOR, SPOTIS, MCDA Bartłomiej Kizielewicz, Andrii Shekhovtsov, Wojciech Sałabun, pages 783–787. -
Towards the identification of MARCOS models based on intuitionistic fuzzy score functions
249 decision making, fuzzy sets, MARCOS, intuitionistic fuzzy sets, score functions Bartłomiej Kizielewicz, Bartosz Paradowski, Jakub Więckowski, Wojciech Sałabun, pages 789–798. -
Towards Sustainable Transport Assessment Considering Alternative Fuels Based on MCDA Methods
144 sustainable Transport, RES, sustainability assessment, MCDA Jarosław Wątróbski, Aleksandra Bączkiewicz, pages 799–808. -
Critical Success Factors for Adopting Electronic Document Management Systems in Government Units
227 government, electronic document management system, critical success factors Ewa Ziemba, Tomasz Papaj, Danuta Descours, pages 809–813.
28th Conference on Knowledge Acquisition and Management
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Case Study of Designing Interface of the AGH Students Information Bulletin Work Support System
190 Business Process Management, BPM, BPMN, process modeling, process models, process knowledge acquisition Natalia Nitarska, Piotr Wiśniewski, Krzysztof Kluza, Mateusz Zaremba, Antoni Ligęza, pages 817–826. -
The impact of the multi-variant remote work model on knowledge management in enterprises. Applied tools.
26 knowledge, knowledge management, hybrid work model, ICT tools Anna Nowacka, Dorota Jelonek, pages 827–835. -
Named Entity Recognition System for the Biomedical Domain
63 Information Extraction, Named Entity Recognition, Biomedical Domain, Deep Neural Networks, Bio-BERT Raghav Sharma, Deependra Singh, Raksha Sharma, pages 837–840. -
Representing and Managing Experiential Knowledge with Decisional DNA and its Drimos® Extension
122 Knowledge management, Knowledge representation, Experiential knowledge, Decisional DNA, Collective experiential knowledge management Edward Szczerbicki, Cesar Sanin, Karina Sterling-Zuluaga, pages 841–844.
Software, System and Service Engineering
Advances in Software, System and Service Engineering
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Extensible Conflict-Free Replicated Datatypes for Real-time Collaborative Software Engineering
99 Collaborative software engineering, CRDT, Consistency management, Strong eventual consistency, Concurrency control Istvan David, Eugene Syriani, Constantin Masson, pages 849–853. -
Sensor Data Protection in Cyber-Physical Systems
12 CPS, robots, software architecture, fault tolerance, resilience, ROS Anton Hristozov, Eric Matson, Eric Dietz, Marcus Rogers, pages 855–859. -
Discovering interactions between applications with log analysis
172 log analysis, reverse engineering, enterprise architecture, knowledge aquisition Łukasz Korzeniowski, Krzysztof Goczyła, pages 861–869.
Joint 42nd IEEE Software Engineering Workshop and 9th International Workshop on Cyber-Physical Systems
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Software Sentiment Analysis using Deep-learning Approach with Word-Embedding Techniques
138 Sentiment Analysis, Software Engineering Tasks, Word Embedding, Feature Selection, Data Imbalance, Deep Learning classifiers Venkata Krishna Chandra Mula, Lov Kumar, Lalita Bhanu Murthy, Aneesh Krishna, pages 873–882. -
Scrum, Kanban or a Mix of Both? A Systematic Literature Review
143 Agile, software development, SLR, agility, project management Necmettin Ozkan, Sevval Bal, Tugba Gurgen Erdogan, Mehmet Şahin Gök, pages 883–893. -
Software Requirements Classification using Deep-learning Approach with Various Hidden Layers
140 Functional Requirements, Non-Functional Requirements, Deep Learning, Data Imbalance Methods, Feature Selection, Classification Techniques, Word Embedding. Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy, Sanjay Misra, pages 895–904.
7th Workshop on Model Driven Approaches in System Development
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Model-Based System Engineering Adoption in the Vehicular Systems Domain
47 Model-Based Systems Engineering, MBSE, Industrial Adoption, Deployment Henrik Gustavsson, Jan Carlson, Eduard Enoiu, pages 907–911. -
An Experimentation Framework for Specification and Verification of Web Services
188 Integrated Model of Distributed Systems, Web services composition, Web services verification, Model-driven development Szymon Katra, Wiktor Daszczuk, Danny Czejdo, pages 913–917. -
Beyond Low-Code Development: Marrying Requirements Models and Knowledge Representations
129 low-code, model-driven web engineering, knowledge representation, ontologies, code generation Kamil Rybiński, Michal Smialek, pages 919–928.
7th Doctoral Symposium on Recent Advances in Information Technology
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Impact of clustering unlabeled data on classification: case study in bipolar disorder
210 fuzzy clustering, bipolar disorder episode prediction, ensemble methods Olga Kamińska, Katarzyna Kaczmarek-Majer, Olgierd Hryniewicz, pages 931–934. -
Parameters Estimation of a Lotka-Volterra Model in an Application for Market Graphics Processing Units
61 Least Squares Method, Lotka-Volterra model, Competition of fimrs in a market Dzhakhongir Normatov, Paolo Mercorelli, pages 935–938. -
Tag and correct: high precision post-editing approach to speech recognition errors correction
168 speech recognition, error correction, post-processing, post-editing, natural language processing Tomasz Ziętkiewicz, pages 939–942.
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