Advances in Computational Collective Intelligence 13th International Conference, ICCCI 2021, Kallithea, Rhodes, Greece, September 29 - October 1, 2021, Proceedings
This book constitutes refereed proceedings of the 13th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2021, held in Kallithea, Rhodes, Greece, in October - November 2021. Due to the the COVID-19 pandemic the conference was held online. The 44 fu...
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| Main Authors | , , , |
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| Format | eBook Conference Proceeding |
| Language | English |
| Published |
Cham
Springer Nature
2021
Springer International Publishing AG Springer International Publishing Springer |
| Edition | 1 |
| Series | Communications in Computer and Information Science |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9783030881139 303088113X 3030881121 9783030881122 |
| ISSN | 1865-0929 1865-0937 |
| DOI | 10.1007/978-3-030-88113-9 |
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| Abstract | This book constitutes refereed proceedings of the 13th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2021, held in Kallithea, Rhodes, Greece, in October - November 2021. Due to the the COVID-19 pandemic the conference was held online. The 44 full papers and 14 short papers were thoroughly reviewed and selected from 231 submissions. The papers are organized according to the following topical sections: ??social networks and recommender systems; collective decision-making; computer vision techniques; innovations in intelligent systems; cybersecurity intelligent methods; data mining and machine learning; machine learning in real-world data; Internet of Things and computational technologies for collective intelligence; smart industry and management systems; low resource languages processing; computational intelligence for multimedia understanding. |
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| AbstractList | This book constitutes refereed proceedings of the 13th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2021, held in Kallithea, Rhodes, Greece, in October - November 2021. Due to the the COVID-19 pandemic the conference was held online. The 44 full papers and 14 short papers were thoroughly reviewed and selected from 231 submissions. The papers are organized according to the following topical sections: ??social networks and recommender systems; collective decision-making; computer vision techniques; innovations in intelligent systems; cybersecurity intelligent methods; data mining and machine learning; machine learning in real-world data; Internet of Things and computational technologies for collective intelligence; smart industry and management systems; low resource languages processing; computational intelligence for multimedia understanding. |
| Author | Treur, Jan Maleszka, Marcin Pimenidis, Elias Wojtkiewicz, Krystian |
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| DOI | 10.1007/978-3-030-88113-9 |
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| Editor | Treur, Jan Maleszka, Marcin Pimenidis, Elias Wojtkiewicz, Krystian |
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| RelatedPersons | Zhou, Lizhu Filipe, Joaquim Ghosh, Ashish Prates, Raquel Oliveira |
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| SubjectTerms | Artificial Intelligence Computer Applications Computer Imaging, Vision, Pattern Recognition and Graphics Computer Science Computer Systems Organization and Communication Networks Expert systems (Computer science)-Congresses Information Systems and Communication Service Intelligent agents (Computer software)-Congresses Software Engineering/Programming and Operating Systems Special computer methods |
| Subtitle | 13th International Conference, ICCCI 2021, Kallithea, Rhodes, Greece, September 29 - October 1, 2021, Proceedings |
| TableOfContents | Security and Scalability in Private Permissionless Blockchain: Problems and Solutions Leading to Creating Consent-as-a-Service (CaaS) Deployment 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Overview -- 3.2 Game Framework -- 3.3 Agent Architecture -- 3.4 Coordination and Information Exchange -- 4 Experiments and Results -- 4.1 Overview -- 4.2 Effect of Memory -- 4.3 Effect of the Dialogue Structure -- 5 Discussion -- References -- Towards Smart Customer Knowledge Management Systems -- 1 Introduction -- 2 Smart Customer Knowledge Management Systems -- 3 Conceptual Framework for Smart Customer Knowledge Management Systems -- 3.1 Constructs of the SCKMS Framework -- 3.2 Model of the SCKMS Framework -- 3.3 Method of the SCKMS Framework -- 4 Illustrative Example -- 5 Conclusion -- References -- Cybersecurity Intelligent Methods -- The Proposition of Balanced and Explainable Surrogate Method for Network Intrusion Detection in Streamed Real Difficult Data -- 1 Introduction, Context and Rationale -- 1.1 The Impact of Data Imbalance -- 1.2 XAI -- 2 Methodology -- 2.1 Data -- 2.2 Research Process -- 2.3 Technology -- 3 Results -- 3.1 Model Performance Comparison -- 3.2 LIME Explanations Comparison -- 3.3 Oracle-Explainer Explanations Comparison -- 3.4 Conclusion and Discussion -- 4 Summary -- References -- Behavioral Anomaly Model for Detecting Compromised Accounts on a Social Network -- 1 Introduction -- 2 The Social Network -- 2.1 History -- 2.2 Threats -- 2.3 Local Community -- 2.4 The COMB Attacks -- 3 The Anomaly Detection -- 3.1 Input Data Used for Model -- 3.2 Training and Evaluation of the Models -- 3.3 Testing the Final Anomaly Score Thresholds -- 4 Conclusions -- References -- Adversarial Attacks on Face Detection Algorithms Using Anti-facial Recognition T-Shirts -- 1 Introduction -- 2 Object Detection and Face Detection -- 2.1 Object Detection Algorithms -- 2.2 Face Detection Algorithms -- 3 Related Works -- 4 Methedology -- 5 Experiments -- 6 Conclusion and Future Work -- References 4.2 Datasets -- 4.3 Experiments on Individual Components of the Face -- 4.4 Experiments on Full Face -- 5 Conclusion -- References -- Hybrid Vision Transformer for Domain Adaptable Person Re-identification -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Supervised Pre-training -- 3.2 Unsupervised Adaptation -- 3.3 Re-ranking -- 4 Experiment Results -- 4.1 Datasets -- 4.2 Evaluation Metrics -- 4.3 Compared Methods -- 4.4 Results and Discussion -- 5 Conclusion -- References -- Recognition of Changes in the Psychoemotional State of a Person by the Video Image of the Pupils -- 1 Introduction -- 2 Related Work -- 2.1 Behavior Recognition -- 2.2 Emotion/stress Assessment Methods -- 3 Experimental Method and Technique -- 3.1 Experimental Setup -- 3.2 Analysis of Video Files -- 4 Experiment Results -- 5 Discussion -- 6 Main Results and Conclusions -- References -- Morphological Analysis of Histopathological Images Using Deep Learning -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Methods -- 3 Experiments -- 4 Results -- 5 Discussion -- 6 Conclusions -- References -- Developing a Three Dimensional Registration Method for Optical Coherence Tomography Data -- 1 Introduction -- 2 Related Work -- 3 Experiment -- 3.1 Image Slicing -- 3.2 Image Registration -- 3.3 Image Differentiation -- 3.4 Image Similarity -- 4 Experimental Analysis -- 4.1 Image Registration -- 4.2 Image Analysis for Micro Lens OCT Data -- 4.3 Image Analysis for Scotch Tape OCT Data -- 5 Experimental Summary -- 6 Conclusion and Future Work -- References -- Which Gameplay Aspects Impact the Immersion in Virtual Reality Games? -- 1 Introduction -- 2 Related Works -- 2.1 Gameplay Aspects that Impact Immersion and VR Sickness -- 3 The Experiment -- 3.1 The Environment Implementation - a VR and a Non-VR Game -- 3.2 Experiment Procedure -- 3.3 Research Group 4 Experimental Results -- 4.1 Benchmark Problems Experiment -- 4.2 Parameter Setup -- 4.3 Performance Assessment and Comparison -- 5 Conclusions -- References -- Valentino Braitenberg's Table: Downhill Innovation of Vehicles via Darwinian Evolution -- 1 Introduction -- 2 Overview -- 2.1 Darwinian Evolution -- 2.2 Braitenberg Vehicles -- 3 Research Questions -- 3.1 Vehicle Assignments -- 4 Simulation Environment Implementation -- 5 Method -- 5.1 Evaluation Method -- 5.2 Variability -- 5.3 Dependent Variables -- 5.4 Procedures and Measures -- 6 Results -- 6.1 Quantitative Study -- 6.2 Qualitative Study: Granular Findings -- 7 Critical Analysis -- 8 Conclusion and Future Work -- References -- Testing for Data Quality Assessment: A Case Study from the Industry 4.0 Perspective -- 1 Introduction -- 2 Quality of Industrial Data: Unit of Analysis -- 3 The Conundrum of the Results -- 4 Discussion -- 4.1 Validity and Reliability -- 4.2 Industrial Quality Characteristics -- 5 Concluding Remarks -- References -- Hybrid Biogeography-Based Optimization Algorithm for Job Shop Scheduling Problem with Time Lags and Single Transport Robot -- 1 Introduction -- 2 Related Works -- 3 Problem Formulation -- 4 Disjunctive Graph Model -- 5 Biogeography-Based Optimization -- 6 Hybrid BBO Algorithm for JSTL-STR Problem -- 6.1 Representing Habitat -- 6.2 Initialisation of Population -- 6.3 Selection Strategies -- 6.4 Migration Operator -- 6.5 Mutation Operator -- 7 Experimental Results -- 8 Conclusion -- References -- Computer Vision Techniques -- Deep Component Based Age Invariant Face Recognition in an Unconstrained Environment -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 HOG-LBP Based Feature Extraction -- 3.2 Proposed Deep Component Based Age-Invariant Face Recognition Using ResNet-50 -- 4 Experiments and Results -- 4.1 Evaluation Criteria 3.4 The Questionnaire -- 4 Results -- 4.1 Difficulty of the Game -- 4.2 Sensations Regarding Movement Activities -- 4.3 Sensations Regarding Interaction Activities -- 4.4 Intuitive Game Controls -- 4.5 Feeling of Freedom in Game World -- 4.6 Physical Involvement -- 4.7 Physical Discomfort -- 4.8 Intuitive User Interface -- 4.9 Sounds -- 4.10 Graphics Effects -- 4.11 Emotional Experiences -- 4.12 Technical Problems -- 5 Conclusions -- References -- Innovations in Intelligent Systems -- Is Wikipedia Easy to Understand?: A Study Beyond Conventional Readability Metrics -- 1 Introduction -- 2 Related Work -- 2.1 Importance of Reading Wikipedia -- 2.2 Limitations of Standard Readability Metrics -- 2.3 New Readability Metrics -- 3 Data Set -- 4 Comprehension Pointers -- 5 Impact of Comprehension Pointers -- 6 Discussion -- 7 Limitations -- 8 Conclusion and Future Work -- References -- Compatibility Checking of Business Rules Expressed in Natural Language Against Domain Specification -- 1 Introduction -- 2 Related Works -- 3 Motivating Example -- 4 Compatibility Checking Method -- 4.1 Class Diagram - Assumptions -- 4.2 Business Rules - Assumptions -- 4.3 Method -- 5 Method Verification -- 6 Summary -- References -- Agent-Based Modeling and Simulation of Citizens Sheltering During a Tsunami: Application to Da Nang City in Vietnam -- 1 Introduction -- 2 Background on Agent-Based Modeling and Simulation -- 3 State of the Art -- 4 Modeling and Simulating Tsunami Evacuation in Da Nang City -- 4.1 Hypothetical Situation -- 4.2 Conceptual Representation of the Agents and the Environment -- 4.3 Concept Implementation -- 4.4 Model Interface -- 4.5 Comparing Tourists Moving Strategies -- 4.6 Influence of Awareness on Tsunami Impact -- 5 Discussion and Conclusion -- References -- Effect of Dialogue Structure and Memory on Language Emergence in a Multi-task Game Intro -- Preface -- Organization -- Contents -- Social Networks and Recommender Systems -- Identifying Key Actors in Organizational Social Network Based on E-Mail Communication -- 1 Introduction -- 2 Identifying Key Actors in a Social Network -- 2.1 Key Actors -- 2.2 Centrality Measures in a Social Network -- 3 Organizational Social Networks Based on Email Communication -- 4 Study on Organizational Social Network Based on Email Communication in Public Organization -- 5 Conclusions -- References -- Social Recommendation for Social Networks Using Deep Learning Approach: A Systematic Review -- 1 Introduction -- 2 Review Methodology -- 2.1 Research Questions -- 2.2 Search Procedure -- 2.3 Paper Selection -- 2.4 Threats to Validity -- 2.5 Data Extraction and Data Synthesis -- 3 Results and Discussion -- 3.1 Social RSs using Deep Learning -- 3.2 Social Networks Dataset -- 3.3 Application Domains -- 3.4 Evaluation Metrics -- 4 Recommendations and Future Research Directions -- 5 Conclusion -- References -- Session Based Recommendations Using Char-Level Recurrent Neural Networks -- 1 Introduction -- 2 Methods of Content Recommendation -- 2.1 Autoencoders -- 3 Evaluation of Recommendation Systems -- 3.1 Mean Absolute Error -- 3.2 Mean Squared Error -- 3.3 Precision -- 3.4 Recall -- 4 Using the LSTM as a Recommender System -- 4.1 Recurrent Neural Networks -- 4.2 Long Short-Term Memory -- 4.3 Data Preparation -- 4.4 Dataset Transformations -- 4.5 Model Definition -- 5 Results and Discussions -- 5.1 Experiment -- 5.2 Recall and Precision Results -- 6 Conclusions and Future Work -- References -- Collective Decision-Making -- Hybridization of Metaheuristic and Population-Based Algorithms with Neural Network Learning for Function Approximation -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 The Detailed Description of the Proposed HAG Algorithm |
| Title | Advances in Computational Collective Intelligence |
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