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on1345582596 |
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220925s2022 sz a o 101 0 eng d |
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|a 1345590118
|a 1374607830
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|a 9783031160141
|q (electronic bk.)
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|a 3031160142
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|z 9783031160134
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|q (1)
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|a 8303116010
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|a 10.1007/978-3-031-16014-1
|2 doi
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|a (OCoLC)1345582596
|z (OCoLC)1345590118
|z (OCoLC)1374607830
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|a HCDD
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|a ICCCI (Conference)
|n (14th :
|d 2022 :
|c Ḥammāmāt, Tunisia ; Online)
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1 |
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|a Computational collective intelligence :
|b 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022, proceedings /
|c Ngoc Thanh Nguyen, Yannis Manolopoulos, Richard Chbeir, Adrianna Kozierkiewicz, Bogdan Trawinski (eds.).
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3 |
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|a ICCCI 2022
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264 |
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|a Cham :
|b Springer,
|c [2022]
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|c ©2022
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300 |
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|a 1 online resource (xxvii, 853 pages) :
|b illustrations (some color).
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|2 rdaft
|0 http://rdaregistry.info/termList/fileType/1002
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1 |
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|a Lecture notes in computer science. Lecture notes in artificial intelligence ;
|v 13501
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490 |
1 |
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|a LNCS sublibrary: SL7 - Artificial intelligence
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|a International conference proceedings.
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|a Conference held in hybrid format.
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|a Includes author index.
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|a This book constitutes the refereed proceedings of the 14th International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 56 full papers and 10 short papers were carefully reviewed and selected from 420 submissions. The papers are grouped in topical sections on collective intelligence and collective decision-making; deep learning techniques; natural language processing; data minning and machine learning; knowledge engineering and semantic web; computer vision techniques; social networks and intelligent systems; cybersecurity and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; applications for industry 4.0.
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|a Online resource; title from PDF title page (SpringerLink, viewed October 4, 2022).
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|a Intro -- Preface -- Organization -- Contents -- Collective Intelligence and Collective Decision-Making -- Inferring Event Causality in Films via Common Knowledge Corpora -- 1 Introduction -- 1.1 Background -- 1.2 Research Objectives and Contributions -- 2 Background and Related Work -- 2.1 Event Causality in Films -- 2.2 Computational Methods -- 3 Event Causality Inference System -- 4 Evaluation Experiments -- 5 Discussion -- References -- Cooperation Game on Communication Multigraph with Fuzzy Parameters -- 1 Introduction -- 2 Preliminaries
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505 |
8 |
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|a 3 Concept of the FUZZY Value of the Sub-additive Cooperative Game on Communication Multigraph with Fuzzy Capacities -- 4 Concept of the FUZZY Value of the Sub-additive Cooperative Game on Communication Multigraph with Fuzzy Capacities and Fuzzy Goal -- 5 Conclusions and Future Works -- References -- Impact of Similarity Measure on the Quality of Communities Detected in Social Network by Hierarchical Clustering -- 1 Introduction -- 2 Organizational Social Networks -- 3 Community Detection Problem -- 4 Hierarchical Clustering Approach to the Community Detection -- 4.1 Hierarchical Clustering
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505 |
8 |
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|a 4.2 Similarity Measures in Social Networks -- 4.3 Hierarchical Clustering Approach to the Community Detection in Organizational Social Network -- 5 Computational Experiment -- 6 Conclusions -- References -- An Approach to Modeling a Real-Time Updated Environment Based on Messages from Agents -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Environment Model Assumptions -- 3.2 Environment Model -- 4 Case Study: AriaDNA Life System -- 4.1 Space and Dimensions -- 4.2 Entity Types -- 4.3 Messages -- 4.4 Interactions -- 5 Summary -- References
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505 |
8 |
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|a Updating the Result Ontology Integration at the Concept Level in the Event of the Evolution of Their Components -- 1 Introduction -- 2 Related Works -- 3 Basic Notions -- 4 Methods of Updating Integrated Ontologies -- 4.1 Updating Results of Ontology Integration After Concept Removal -- 4.2 Updating Results of Ontology Integration After Adding New Concepts -- 4.3 Updating Results of Ontology Integration After Concepts Modification -- 5 Experimental Evaluation -- 6 Summary -- References -- Integrating Machine Learning into Learner Profiling for Adaptive and Gamified Learning System
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505 |
8 |
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|a 1 Introduction -- 2 Proposed Method -- 2.1 Functional Architecture -- 3 Experimentation and Results -- 3.1 Used Method -- 3.2 Results -- 4 Conclusion -- References -- Deep Learning Techniques -- A New Deep Learning Fusion Approach for Emotion Recognition Based on Face and Text -- 1 Introduction -- 2 Facial-Textual Emotion Recognition (FTxER) Architecture -- 3 Results and Discussion -- 4 Conclusion and Future Work -- References -- Cycle Route Signs Detection Using Deep Learning -- 1 Introduction -- 2 Problem Definition -- 2.1 Car License Plate Recognition and Reading
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650 |
|
0 |
|a Swarm intelligence
|v Congresses.
|
650 |
|
0 |
|a Computational intelligence
|v Congresses.
|
650 |
|
7 |
|a Computational intelligence
|2 fast
|
650 |
|
7 |
|a Swarm intelligence
|2 fast
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655 |
|
7 |
|a proceedings (reports)
|2 aat
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655 |
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7 |
|a Conference papers and proceedings
|2 fast
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|
7 |
|a Conference papers and proceedings.
|2 lcgft
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655 |
|
7 |
|a Actes de congrès.
|2 rvmgf
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700 |
1 |
|
|a Nguyen, Ngoc Thanh
|c (Computer scientist),
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PBJyrXJQyVj9XYCk9Q4X68C
|1 https://isni.org/isni/0000000043641888
|
700 |
1 |
|
|a Manolopoulos, Yannis,
|d 1957-
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjwktH3cgyMqR96RkqmqkP
|1 https://isni.org/isni/0000000114504574
|
700 |
1 |
|
|a Chbeir, Richard,
|e editor.
|1 https://isni.org/isni/0000000083376951
|
700 |
1 |
|
|a Kozierkiewicz, Adrianna,
|e editor.
|
700 |
1 |
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|a Trawiński, Bogdan,
|e editor.
|1 https://isni.org/isni/0000000112639184
|
776 |
0 |
8 |
|i Print version:
|a ICCCI (Conference) (14th : 2022 : Ḥammāmāt, Tunisia), creator.
|t Computational collective intelligence.
|d Cham : Springer, 2022
|z 9783031160134
|w (OCoLC)1346317841
|
830 |
|
0 |
|a Lecture notes in computer science ;
|v 13501.
|
830 |
|
0 |
|a Lecture notes in computer science.
|p Lecture notes in artificial intelligence.
|
830 |
|
0 |
|a LNCS sublibrary.
|n SL 7,
|p Artificial intelligence.
|
856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-16014-1
|y Click for online access
|
903 |
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|a SPRING-COMP2022
|
994 |
|
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|a 92
|b HCD
|