Computational Collective Intelligence : 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022, Proceedings |
Autore | Nguyen Ngoc Thanh (Computer scientist) |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
Descrizione fisica | 1 online resource (863 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
ManolopoulosYannis
ChbeirRichard KozierkiewiczAdrianna TrawińskiBogdan |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Intel·ligència col·lectiva
Intel·ligència computacional |
Soggetto genere / forma |
Congressos
Llibres electrònics |
Soggetto non controllato | Science |
ISBN |
9783031160141
3031160142 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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 -- 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 -- 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 -- 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 -- 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 -- 2.2 Real-time Traffic Sign Detection Using CNN -- 3 Solution -- 3.1 YOLO -- 3.2 OCR -- 4 Implementation -- 4.1 Technologies Used -- 4.2 Data Training -- 4.3 Applications -- 5 Testing of Developed Application -- 6 Conclusion -- References -- Data Augmentation for Morphological Analysis of Histopathological Images Using Deep Learning -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Methods -- 2.3 Morphing Concept -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- An End-to-End Framework for Evaluating Explainable Deep Models: Application to Historical Document Image Segmentation -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 4 Experiments and Results -- 4.1 Experimental Corpus -- 4.2 Implementation Details -- 4.3 Results -- 5 Conclusions and Further Work -- References. Deep Convolutional Neural Network for Arabic Speech Recognition -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Proposed System -- 3.1 Convolutional Neural Network (CNN) -- 3.2 LSTM -- 4 Experimental Results and Discussion -- 4.1 Datasets and Input Features -- 4.2 Results and Discussion -- 5 Conclusion and Future Works -- References -- RingNet: Geometric Deep Representation Learning for 3D Multi-domain Protein Shape Retrieval -- 1 Introduction -- 2 Related Works -- 3 RingNet Neural Network -- 3.1 Descriptors Calculation -- 3.2 RingNet Layer -- 3.3 Fusion Layer -- 4 Experimental Results -- 4.1 Dataset and Metrics -- 4.2 3D Protein Shape Classification -- 4.3 3D Protein Shape Retrieval -- 5 Conclusion -- References -- Patch Selection for Melanoma Classification -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Description and Preprocessing -- 2.2 Entropy -- 2.3 Mean Exhaustive Minimum Distance (MEMD) Criterion -- 2.4 Network Architecture -- 3 Experimental Results -- 4 Conclusion -- References -- Natural Language Processing -- Multi-model Analysis of Language-Agnostic Sentiment Classification on MultiEmo Data -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Pipeline -- 3.2 MultiEmo Dataset -- 3.3 Scenarios -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- Sentiment Analysis of Tunisian Users on Social Networks: Overcoming the Challenge of Multilingual Comments in the Tunisian Dialect -- Abstract -- 1 Introduction -- 2 Specificities of Tunisian Dialect Sentiment Analysis -- 2.1 The Use of Multilingual Vocabulary -- 2.2 The Phenomenon of Linguistic Code-switching -- 3 Background and Related Work -- 3.1 Arabic Dialects Sentiment Analysis -- 3.2 Tunisian Dialect Sentiment Analysis -- 3.3 Discussion -- 4 Proposed Methodology -- 4.1 Data Collection -- 4.2 Data Preprocessing -- 4.3 Model Training. 5 Experiments and Results -- 5.1 Baseline -- 5.2 Dataset -- 5.3 Experimental Results -- 5.4 Discussion -- 6 Conclusion -- Acknowledgment -- References -- Non-Contextual vs Contextual Word Embeddings in Multiword Expressions Detection -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 3.1 Non-Contextual Dataset -- 3.2 Contextual Dataset -- 4 Methods for Multiword Expression Detection -- 5 Experiments -- 6 Results -- 7 Discussion -- 8 Conclusions and Future Work -- References -- Context-free Transformer-based Generative Lemmatiser for Polish -- 1 Introduction -- 2 Related Works -- 2.1 Contextual Lemmatisation -- 2.2 Context-free Lemmatisation -- 2.3 Lemmatisation for the Polish Language -- 3 Problem Description -- 4 Architecture -- 4.1 Transformer-based Lemmatiser -- 5 Experiments -- 6 Conclusions -- References -- French Object Clitics in the Interlanguage: A Linguistic Description and a Formal Analysis in the ACCG Framework -- 1 Introduction -- 2 Interlanguage -- 2.1 The Concept -- 2.2 French Object Clitics in the Interlanguage -- 3 Applicative Combinatory Categorical Grammar -- 4 Object Clitics by Means of ACCG -- 5 Conclusion -- References -- Contradiction Detection Approach Based on Semantic Relations and Evidence of Uncertainty -- 1 Introduction -- 2 Related Work -- 3 Motivation and Proposed Model -- 3.1 Motivation -- 3.2 Description of the Approach -- 4 Semantic Construction of a Sentence -- 4.1 Pretreatment -- 4.2 Concept Extraction -- 4.3 Extraction of Uncertainty Expressions -- 4.4 Calculation of Degree of Uncertainty -- 4.5 Extraction of Binary Relations -- 5 Contradiction Assessment -- 5.1 Detection of Opposing Information -- 5.2 Detection of Contradiction -- 6 Experimental Evaluation -- 6.1 Test Environment -- 6.2 Experiments and Results -- 7 Conclusion -- References -- C-DESERT Score for Arabic Text Summary Evaluation -- Abstract. 1 Introduction -- 2 Related works -- 3 Proposed method -- 3.1 Document Embedding Model -- 3.2 Building the Doc2Vec Model -- 3.3 Features -- 3.4 Combination Scheme -- 4 Experiments -- 4.1 Data Sets -- 4.2 Result -- 5 Conclusion -- References -- Data Mining and Machine Learning -- Proficiency Level Classification of Foreign Language Learners Using Machine Learning Algorithms and Multilingual Models -- 1 Introduction -- 2 Related Works -- 3 Experiments -- 3.1 Datasets -- 3.2 Features -- 3.3 Methods -- 3.4 Tool Implementation -- 3.5 Experiment Scenarios -- 4 Results and Analysis -- 4.1 Experiment One -- 4.2 Experiment Two -- 4.3 Experiment Three -- 5 Conclusions -- References -- Simulation System for Producing Real World Dataset to Predict the Covid-19 Contamination Process⋆ -- 1 Introduction -- 2 Contact Tracing -- 2.1 GPS Accuracy -- 2.2 Bluetooth LE Distance Measurement -- 2.3 WiFi -- 2.4 Zigbee -- 2.5 Comparing Technologies -- 3 Dataset Collection -- 3.1 Simulating Real World Scene -- 4 Processing Data -- 4.1 Graph Modeling -- 4.2 Retrieving Basic Statistics -- 4.3 Graph Data Science Algorithms -- 5 Conclusion -- References -- Design and Compression Study for Convolutional Neural Networks Based on Evolutionary Optimization for Thoracic X-Ray Image Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 CNN Design -- 3.2 CNN Compression -- 4 Experiments -- 4.1 Expirement Configuration and Setup -- 4.2 Results and Discussion -- 5 Conclusion -- References -- TF-MOPNAS: Training-free Multi-objective Pruning-Based Neural Architecture Search -- 1 Introduction -- 2 Background and Related Works -- 2.1 Progressive Search Space Shrinking and Architecture Selection -- 2.2 Training-free Metrics in Pruning-based NAS -- 3 Training-free Multi-objective Pruning-based Neural Architecture Search -- 4 Experiments and Results. 4.1 Results on NAS-Bench-101. |
Record Nr. | UNINA-9910595027103321 |
Nguyen Ngoc Thanh (Computer scientist) | ||
Cham : , : Springer International Publishing AG, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Swarm intelligence |
Pubbl/distr/stampa | Seacaucus, N.J., : Springer Science + Business Media Inc., 2007- |
Descrizione fisica | 1 online resource |
Disciplina | 006.3 |
Soggetto topico |
Swarm intelligence
Intel·ligència col·lectiva |
Soggetto genere / forma |
Periodicals.
Revistes electròniques |
ISSN | 1935-3820 |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910146461603321 |
Seacaucus, N.J., : Springer Science + Business Media Inc., 2007- | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|