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ORCIDICCCI 2024: Leipzig, Germany - CCIS Volume 1
- Ngoc-Thanh Nguyen
, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz:
Advances in Computational Collective Intelligence - 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024, Proceedings, Part I. Communications in Computer and Information Science 2165, Springer 2024, ISBN 978-3-031-70247-1
Collective Intelligence and Collective Decision-Making
- Barbara Wedrychowicz, Marcin Maleszka:
Formalization of Agent-Based Model of Group Learning. 3-15 - Daniel Kostrzewa, Piotr Berezka, Robert Brzeski:
Music Genre Classification Using Hybrid Committees and Voting Mechanisms. 16-28 - Marcin Maleszka:
Towards Practical Large Scale Traffic Model of Electric Transportation. 29-43 - Iris Mezieres, Abir Gorrab, Rébecca Deneckère, Nourhène Ben Rabah, Bénédicte Le Grand:
A Systematic Literature Review on Affective Computing Techniques for Workplace Stress Detection - Challenges, Future Directions, from Data Collection to Stress Detection. 44-56 - Malgorzata Przybyla-Kasperek, Piotr Sulikowski:
Rough Set Decision Rules for Usage-Based Churn Modeling in Mobile Telecommunications. 57-70
Deep Learning Techniques
- Pere Lloret, Pau Cano, Eva Musulen, Debora Gil:
CNN Classifier for Helicobacter Pylori Detection in Immunohistochemically Stained Gastric WSI. 73-82 - Sorin Valcan, Mihail Gaianu:
Complete Convolutional Neural Networks Environment for Computer Vision Problems With Nvidia Drive AGX Xavier. 83-93 - Dávid Nevezi-Strango, Daniel Grosu, Sorin Valcan:
The Development of an Application-Specific Instruction Set Processor Specialized on a Convolutional Neural Network Trained on MNIST. 94-105 - Ahmed Balaazi, Najeh Nafti, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Detection and Localization of Covid-19 on Chest Radiographs by Deep Learning Algorithms. 106-118 - Omar Haddad, Mohamed Nazih Omri:
Big Textual Data Analytics Using Transformer-Based Deep Learning for Decision Making. 119-131 - Minyar Sassi Hidri:
Multistep Time Series Forecasting of Energy Consumption Based on Stacked Deep LSTM Network Architecture. 132-143 - Jihene Tmamna, Rahma Fourati, Hela Ltifi:
On the Effect of Quantization on Deep Neural Networks Performance. 144-156
Natural Language Processing
- Michal Olek, Maciej Piasecki:
Three-Stage Extraction of Spatial Relationships Using Markers. 159-172 - Amani Mechergui, Wahiba Ben Abdessalem Karaa, Sami Zghal:
A Quadruplication Multilingual and Multilevel Topic Seeding Approach Towards a Bottom-Up Graph Generation and Enhancement. 173-192 - Szymon Olewniczak, Michal Maciszka, Kamil Paluszewski, Grzegorz Pozorski, Wojciech Rosenthal, Lukasz Zaleski:
Question Answering System to Answer Questions About Technical Documentation. 193-205 - Olzhas Kozbagarov, Rustam Mussabayev, Alexander Krassovitskiy, Nursultan Kuldeyev:
Interpretable Dense Embedding for Large-Scale Textual Data via Fast Fuzzy Clustering. 206-218 - Kushan Hewapathirana, Nisansa de Silva, C. D. Athuraliya:
M2DS: Multilingual Dataset for Multi-document Summarisation. 219-231 - Lan T. K. Nguyen, Long D. Pham, Hoa N. Nguyen:
uMentor: LLM-Powered Chatbot for Harnessing Technology Books in Digital Library. 232-244 - Margit Antal, Krisztián Búza, Szilárd Nemes:
Advancements in Text Subjectivity Analysis: From Simple Approaches to BERT-Based Models and Generalization Assessments. 245-255 - Diana Rakhimova, Esref Adali, Aidana Karibayeva:
Hybrid Approach Text Generation for Low-Resource Language. 256-268
Data Mining and Machine Learning
- Krisztián Búza, Margit Antal:
ROCKET with Dynamic Convolution for Time Series Classification. 271-282 - Alicja Piaskowska, Marcin Hernes, Ewa Walaszczyk, Agata Kozina, Kateryna Czerniachowska:
Prediction of the Delay Time of Public Transportation Using Machine Learning. 283-294 - Lam Duc Vu Nguyen, Sinh Van Nguyen, Son Thanh Le, Minh Khai Tran, Marcin Maleszka:
Processing the 3D Heritage Data Samples Based on Combination of GNN and GAN. 295-307 - Manuel Méndez, Miguel Benito-Parejo, Mercedes G. Merayo:
Testing the Robustness of Machine Learning Models Through Mutations. 308-320 - Agnieszka Duraj, Daniel Duczyminski:
Outlier Detection in Human Activity Recognition Systems. 321-333 - Marta Kuchciak, Macin Sieradzki, Wojciech Cebula, Katarzyna Bialas, Michal Kedziora:
Using Brain-Computer Interface and Artificial Intelligence Algorithms for Language Learning. 334-343
Social Networks and Intelligent Systems
- Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
From Detection Through Display to Understanding: Bridging AI and UI in Disinformation and Fake News Analysis. 347-357 - Márk Domonkos, Zhang Huanpeng, Natabara Máté Gyöngyössy, János Botzheim:
Social Attraction Mutation: A Novel Method for Mutation Based on Attraction. 358-370 - Jing-Doo Wang, Yi-Chun Wang:
Extracting Common DNA Segments from the Complete Genomes of 7538 Viruses and Five Selected Mammals. 371-383 - Krzysztof Cabaj, Marcin Kowalczyk, Marcin Gregorczyk, Michal Choras, Rafal Kozik, Wojciech Mazurczyk:
Strategies to Use Harvesters in Trustworthy Fake News Detection Systems. 384-394 - Bernadetta Maleszka:
Time Series Analysis of Sentiment Polarity Trends: A Case Study. 395-406
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