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Hybrid Intelligent Systems : 22nd International Conference on Hybrid Intelligent Systems (HIS 2022), December 13–15, 2022 / / edited by Ajith Abraham, Tzung-Pei Hong, Ketan Kotecha, Kun Ma, Pooja Manghirmalani Mishra, Niketa Gandhi
| Hybrid Intelligent Systems : 22nd International Conference on Hybrid Intelligent Systems (HIS 2022), December 13–15, 2022 / / edited by Ajith Abraham, Tzung-Pei Hong, Ketan Kotecha, Kun Ma, Pooja Manghirmalani Mishra, Niketa Gandhi |
| Autore | Abraham Ajith |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (1380 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
HongTzung-Pei
KotechaKetan MaKun Manghirmalani MishraPooja GandhiNiketa |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| Soggetto non controllato |
Artificial Intelligence
Engineering Computers Technology & Engineering |
| ISBN | 3-031-27409-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910728399503321 |
Abraham Ajith
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Information and Database Systems : 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part I
| Intelligent Information and Database Systems : 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part I |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (342 pages) |
| Altri autori (Persone) |
ChbeirRichard
ManolopoulosYannis FujitaHamido HongTzung-Pei NguyenLe Minh WojtkiewiczKrystian |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 9789819749829 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Advanced Data Analysis Methods -- Continual AE-WGAN for Unsupervised Anomaly Detection in Streaming Data -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Overview -- 3.2 Learning Step 1: Autoencoder Training -- 3.3 Learning Step 2: WGAN-GP Training -- 3.4 Anomaly Score-Based Prediction -- 4 Experimental Results -- 4.1 Experiment Setup -- 4.2 Comparing Methods -- 4.3 Ablation Study -- 5 Conclusion -- References -- Energy Measurement System for Data Lake: An Initial Approach -- 1 Introduction -- 2 Related Work -- 3 Power Measurement Model -- 4 Energy Measuring System for a Data Lake -- 5 Experimental Evaluation -- 5.1 AUDAL Datalake and DLBench+ -- 5.2 System Setup and Experimental Methodology -- 5.3 Energy Measurement Results -- 6 Conclusions and Future Work -- References -- CDER: Collaborative Evidence Retrieval for Document-Level Relation Extraction -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Problem Formulation -- 3.2 Encoder Module -- 3.3 Document-Level Bipartite Graph -- 3.4 Entity Pair-Aware GATs -- 3.5 Evidence Prediction -- 3.6 Training Objective -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Results -- 4.3 Ablation Study -- 5 Conclusion -- References -- Stochastic Approaches for Criteria Weight Identification in Multi-criteria Decision Analysis -- 1 Introduction -- 2 Preliminaries -- 2.1 Particle Swarm Optimization -- 2.2 The Characteristic Objects Method -- 2.3 Stochastic IdenTification of Weights -- 3 Study Case -- 4 Conclusions -- References -- Exploring Data Preparation Modules by Examples -- 1 Introduction -- 2 Background -- 2.1 Data Example Generation -- 2.2 Related Work and Scope of Our Work -- 3 Module Discovery -- 3.1 Feedback-Driven Module Discovery -- 3.2 Incremental Ranking of Candidate Modules -- 4 Evaluation.
4.1 Assessing the Performance Using a Synthetic Dataset -- 4.2 Discovering Real-World Scientific Modules -- 4.3 Efficiency -- 5 Conclusions -- References -- A Novel Approach to the Use of Explainability to Mine Network Intrusion Detection Rules -- 1 Introduction -- 2 Related Work -- 3 Background and Dataset -- 3.1 Explainable Artificial Intelligence -- 3.2 Random Forest Algorithm -- 3.3 Dataset Description -- 4 Proposed Method for SIEM Rules Enhancement -- 4.1 Definition of Static SIEM Rules -- 4.2 Novel Method for SIEM Rules Mining via xAI -- 5 Experiments and Results -- 6 Discussion -- 7 Conclusion -- References -- AI-Driven Cybersecurity and Medical Solutions -- IDRF: An Improved Dynamic Random Forest Approach for Blockchain Time Series Data Classification -- 1 Introduction -- 1.1 Contributions -- 1.2 Paper Organization -- 2 Related Work -- 3 Classification Approaches -- 3.1 Baseline Approach: Random Forest Tree -- 3.2 Dynamic Random Forest (DRF) -- 3.3 Proposed Improved Dynamic Random Forest (IDRF) -- 4 Experimental Results -- 4.1 Dataset Description -- 4.2 Root Main Square Error (RMSE) -- 4.3 Accuracy -- 4.4 Execution Time -- 5 Conclusion -- References -- Oral Diseases Recognition Based on Photographic Images and Dental Decay Diagnosis -- 1 Introduction -- 2 Literature Review -- 3 Data Material and Methodology -- 4 The Results -- 5 Conclusion -- References -- Multifaceted ECG Feature Extraction for AFIB Detection: Using Traditional Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 The Method for Processing of ECG Data to Detect AFIB -- 3.1 Data Preprocessing -- 3.2 Feature Extraction -- 3.3 Training Model -- 3.4 Evaluation -- 4 Experimental Results -- 5 Conclusion and Future Works -- References -- Automation of the Analysis of Medical Interviews to Improve Diagnoses Using NLP for Medicine -- 1 Introduction -- 2 Related Works. 3 Proposed Approach -- 4 Experiments and Results -- 4.1 Dataset -- 4.2 Results of Experiments -- 5 Discussion -- 6 Conclusions -- References -- Application of Generative Models -- FramedTruth: A Frame-Based Model Utilising Large Language Models for Misinformation Detection -- 1 Introduction -- 2 Related Works -- 3 FramedTruth Model -- 4 Experiments and Results -- 4.1 Datasets and Generation -- 4.2 Experiment 1: Performance Comparison -- 4.3 Experiment 2: Ablation Study -- 4.4 Experiment 3: Case Study -- 5 Conclusion and Future Work -- References -- Named Entity Recognition Model for Polish Books -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 NER Definition for Books -- 3.2 PoLitBert -- 4 Experiments and Results -- 4.1 Named Entity Extraction Evaluation -- 4.2 Prediction Time Evaluation -- 5 Conclusion -- References -- Building the ArabNER Corpus for Arabic Named Entity Recognition Using ChatGPT and Bard -- 1 Introduction -- 2 Related Work -- 3 Methodology for Building ArabNER Corpus -- 3.1 Overview -- 3.2 Web Scraping -- 3.3 Data Generation -- 3.4 Pre-processing -- 3.5 Annotation Method -- 4 Evaluation -- 5 Conclusion -- References -- Professionally Diverse: AI-Generated Faces for Targeted Advertising -- 1 Introduction -- 2 Evolution of Generative Adversarial Networks for Image Synthesis -- 3 Data Collection and Preparation -- 4 Experiments with Generating Images -- 5 Conclusions -- References -- Optimizing Neural Topic Modeling Pipelines for Low-Quality Speech Transcriptions -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Embedding Models -- 3.2 Dimensionality Reduction Methods -- 3.3 Clustering Methods -- 3.4 Topic Representation -- 3.5 Data -- 3.6 Evaluation Metrics -- 3.7 Experiment Setup -- 4 Results -- 5 Conclusions -- References -- OrphaGPT: An Adapted Large Language Model for Orphan Diseases Classification. 1 Introduction -- 2 Related Work -- 2.1 Large Language Model for Orphan Diseases -- 2.2 Orphan Disease Identification Using Artificial Intelligence -- 3 Methodology -- 3.1 Data Collection and Preprocessing -- 3.2 Fine-Tuning the Language Model -- 3.3 Hyperparameter Tuning -- 3.4 Deployment and Accessibility -- 4 Performance Analysis -- 4.1 Accuracy -- 4.2 Cohen's Kappa Coefficient -- 4.3 Fine-Tuning Time(s) -- 5 Result and Discussion -- 6 Conclusions and Future Work -- References -- Computational Intelligence -- A Novel Dynamic Programming Method for Non-parametric Data Discretization -- 1 Introduction -- 2 Proposed Approach -- 2.1 Problem Formulation -- 2.2 Partial Correlation over Intervals -- 2.3 Proposed Dynamic Programming Algorithm -- 3 Experimental Settings -- 3.1 Benchmark Datasets -- 3.2 Evaluation Plan -- 4 Results and Discussion -- 4.1 RQ1: How Effective is Our Proposed Approach Compared to State-of-the-Art Baselines on Data Discretization? -- 4.2 RQ2: How Does the Degree of Variability of Continuous Variables Impact the Performance of Our Proposed Approach? -- 5 Conclusion -- References -- Framework to Merge Possibilistic Belief Bases -- 1 Introduction -- 2 Related Works -- 2.1 Bargaining Game with Integrity Constraint -- 2.2 Belief Merging by Social Contraction Function -- 3 Framework for Merging Possibilistic Belief Bases -- 3.1 Axiomatic Model -- 3.2 Constructive Model -- 3.3 Logical Properties -- 4 Conclusions and Discussion -- References -- Game-Theory Based Voting Schemas for Ensemble of Classifiers -- 1 Introduction -- 2 Classification and Ensemble Methods -- 3 Game Theory -- 4 Proposed Approach -- 5 Numerical Experiments -- 6 Conclusions -- References -- RECALL: Towards Generalized Representations in Unsupervised Federated Learning Under Non-IID Conditions -- 1 Introduction -- 2 Related Works -- 2.1 Federated Learning Algorithm. 2.2 Non-IID Solutions -- 3 Non-IID Solution for Unsupervised Federated Learning -- 3.1 Problem Definition -- 3.2 Analysis of Supervised and Unsupervised Learning -- 3.3 Intuition -- 3.4 Method -- 4 Experimental Result -- 4.1 Experimental Setting -- 4.2 Non-IID Issue Under Unsupervised Learning Task -- 4.3 The Effectiveness of Proposed RECALL -- 5 Conclusion -- References -- Predicting Epidemic Outbreak Using Climatic Factors -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Models -- 3.2 Geospatial Analysis Using ArcGIS (Analytic Hierarchy Process Model) -- 3.3 Datasets -- 3.4 Evaluation Metrics -- 4 Results and Analysis -- 5 Conclusion and Future Directions -- References -- A Novel Approach Utilizing Local Criteria Weights for Multi-criteria Evaluation Within the SPOTIS Method -- 1 Introduction -- 2 Preliminaries -- 2.1 Identification of the Local Weights -- 2.2 Stable Preference Ordering Towards Ideal Solution -- 3 Proposed Approach -- 4 Study Case -- 5 Conclusions -- References -- Masked Face-Landmark Prediction with Mask-Coefficient -- 1 Introduction -- 2 Related Work -- 3 Face-Landmark Prediction -- 3.1 Overall Architecture -- 3.2 Image-Augmentation Module -- 3.3 Mask-Coefficient-Calculation Module -- 3.4 Loss Function with M -- 4 Experiment -- 4.1 Experimental Data -- 4.2 Experimental Measures -- 4.3 Experimental Results -- 4.4 Illustrative Resulting Examples -- 5 Conclusion -- References -- Federated Erasable-Itemset Mining with Quasi-Erasable Itemsets -- 1 Introduction -- 2 Review of Related Works -- 2.1 Erasable-Itemsets Mining -- 2.2 Prelarge Itemsets Mining -- 2.3 Federated Learning -- 3 Federated Erasable-Itemset Mining -- 3.1 Problem Analysis -- 3.2 Problem Description -- 3.3 Definitions -- 3.4 Algorithm Framework -- 4 Experimental Results -- 5 Conclusion and Future Work -- References. An Optimization Approach for Finding Diverse Trading Strategy Portfolio Using the Memetic Algorithm. |
| Record Nr. | UNINA-9910874691003321 |
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Nguyen Ngoc Thanh
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| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Information and Database Systems : 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part II
| Intelligent Information and Database Systems : 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part II |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (446 pages) |
| Altri autori (Persone) |
ChbeirRichard
ManolopoulosYannis FujitaHamido HongTzung-Pei NguyenLe Minh WojtkiewiczKrystian |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 9789819749850 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Data Modelling and Smart Information Systems -- A Systematic Review of Medicinal Plant Identification Using Deep Learning -- 1 Introduction -- 2 Review Methodology -- 2.1 Research Questions -- 2.2 Review Protocols -- 3 Reviews -- 3.1 Effectiveness of Crowdsourced Data -- 3.2 Scalability and Model Performance -- 3.3 Impact of Plant State on Accuracy -- 3.4 Utility of Mobile Apps -- 3.5 Organ-Based Classification -- 3.6 Comparative Studies Across Regions -- 4 Conclusion -- References -- KDVGG-Lite: A Distilled Approach for Enhancing the Accuracy of Image Classification -- 1 Introduction -- 2 Literature Review -- 3 Construction of KDVGG-Lite -- 3.1 Base/Teacher Model-VGG16 -- 3.2 Student Model with Pruning -- 3.3 Knowledge Distillation with Cross-Entropy for KDVGG-Lite -- 4 Experiments -- 4.1 System Specification -- 4.2 Data Sets -- 4.3 Evaluation Metrics -- 4.4 Model Training -- 4.5 Results and Discussion -- 4.6 Performance Analysis of KDVGG-Lite -- 5 Conclusion and Future Works -- References -- MVis4LD: Multimodal Visual Interactive System for Lie Detection -- 1 Introduction -- 2 Related Works -- 2.1 NLP for Lie Detection -- 2.2 Lie Detection Using Multimodal Approach -- 2.3 Multimodal Interactive Visualization -- 3 Methodology -- 3.1 Data Collection and Processing -- 3.2 Feature Extraction and Data Splitting -- 3.3 Methods -- 3.4 Result and Evaluation -- 3.5 Interactive Dashboard -- 4 MVis4LD System -- 4.1 User Input -- 4.2 Result Generating -- 5 Experimental Analysis -- 5.1 Experimental Setup -- 5.2 Result Analysis -- 5.3 Evaluation -- 6 Discussion -- 7 Conclusion -- References -- ULTIMATE Project Toolkit for Robotic AI-Based Data Analysis and Visualization -- 1 Introduction and Context -- 2 Overview of Other Relevant Visualization Solutions.
3 Proposed Architecture of the ULTIMATE Visualization Toolkit -- 3.1 Design Rationale -- 3.2 Architecture Overview -- 3.3 Web-Based Interactive Visualisation -- 4 Validation -- 4.1 Dataset Content Inspection -- 4.2 Format Conversion -- 4.3 Data Analytics -- 4.4 Interactive Dashboards -- 4.5 Outcomes from the Data Models Visualisation -- 5 Conclusions -- References -- Adaptive Traffic Management System Based on Real-Time Traffic Conditions -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Proxy -- 3.2 Traffic Observer -- 3.3 Vehicle Tracker -- 3.4 Junction Main Server -- 4 Results and System Logic Details -- 4.1 IPC Module -- 4.2 Vehicle Detection Performance -- 4.3 Proxy, Traffic Observer and Vehicle Tracker -- 4.4 Junction Main Server -- 5 Conclusions and Future Work -- References -- Formalizing Data Metamodel Semantics for Mapping Patterns Specification -- 1 Introduction -- 2 Related Work -- 3 Formal Definition of Metamodel Semantics -- 4 Metamodel Semantics Mapping -- 5 Implementation -- 5.1 Extraction of AOM and ORM Semantics -- 5.2 Building Semantic Particles -- 5.3 Creation of Mapping Patterns -- 6 Conclusions and Summary -- References -- Evolution and Refinement of the Formal Framework for Collective Systems -- 1 Introduction -- 2 Literature Review -- 2.1 Collective Intelligence -- 2.2 Collective Models -- 2.3 DeGroot and Wagner Model -- 2.4 DeGroot and Wagner Model Extensions -- 2.5 Model Cowan et al -- 2.6 Szuba's Model -- 2.7 Summary -- 3 Model -- 3.1 Formal Definition -- 3.2 Collective Member -- 3.3 Relationships Between Members -- 3.4 Object-Oriented Model of Collective -- 4 Collectives' Metrics -- 5 Conclusions -- References -- Multi-criteria Temporal Intelligent Decision Support System for Sustainable Energy Mix Assessment -- 1 Introduction -- 2 Methodology -- 2.1 The DARIA-EDAS Method. 2.2 The Multi-criteria SDG 7 Model -- 3 Results and Discussion -- 4 Conclusions -- References -- Image and Video Processing -- Brain Tumor Segmentation with FPN-Based EfficientNet and XAI -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Data Set -- 3.2 Model Setting -- 3.3 Evaluation Metrics -- 4 Experimental Results -- 5 Conclusion -- References -- V-DETR: Pure Transformer for End-to-End Object Detection -- 1 Introduction -- 2 Related Work -- 3 Pure Transformer-Based Detection Solution -- 3.1 Backbones Based on ViT Architecture -- 3.2 Improved Transformer for Object Detection -- 4 Experimental Results -- 5 Conclusion -- References -- Enhancing Classification of Parasite Microscopy Images Through Image Edge-Accentuating Preprocessing -- 1 Introduction -- 2 Literature Review -- 2.1 Overview of Parasite Species Classification via Microscopic Image Analysis -- 2.2 Overview of Developments in Pixel-Based Image Preprocessing Techniques -- 2.3 Limitations and Motivation -- 3 Proposed Methodology -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Baseline Models -- 4.3 Training Setup -- 4.4 Evaluation Metrics -- 4.5 Experimental Results and Discussions -- 5 Conclusion -- References -- Enhancing Deepfake Detection Through Innovative Data Augmentation Strategies and Frame-Based Deep Learning Architecture -- 1 Introduction -- 2 Related Works -- 3 Method -- 3.1 Face Extraction -- 3.2 Data Augmentation -- 3.3 Feature Extraction and Classification -- 3.4 Training -- 4 Experiments -- 4.1 Dataset -- 4.2 Results -- 5 Conclusions -- References -- Self-supervised Adversarial Masking for 3D Point Cloud Representation Learning -- 1 Introduction -- 2 Related Work -- 3 PointCAM -- 4 Experiments -- 5 Conclusion -- References -- Facial Ethnicity Recognition Based on a New Joint Loss Function -- 1 Introduction -- 2 State-of-the-Art. 2.1 Handcrafted Features Based Method -- 2.2 Deep Features Based Methods -- 2.3 Discussion -- 3 Proposed Method -- 3.1 Feature Embedding Module -- 3.2 Attention Learning Module -- 3.3 Feature Classification Module -- 4 Experimental Study -- 4.1 Datasets Description -- 4.2 Experimental Settings -- 4.3 Experimental Protocol -- 4.4 Experimental Results -- 5 Conclusion -- References -- Decision-Making Approach for Early Plant Stress Detection from Hyperspectral Images -- 1 Introduction -- 2 Related Work -- 2.1 Decision-Making for Smart Agriculture -- 2.2 Hyperspectral Images in Smart Agriculture -- 2.3 Status and Hydric Stress Detection -- 3 Materials and Methods -- 3.1 Centella Asiatica -- 3.2 Experimental Material and Stress Treatments -- 3.3 Proposed Approach -- 4 Experimental Results and Discussions -- 5 Conclusion and Future Work -- References -- Adaptive Scheme of Clustering-Based Unsupervised Learning for Person Re-identification -- 1 Introduction -- 2 Related Works -- 2.1 Clustering-Based Unsupervised Person Re-ID -- 2.2 Cluster Memory Updating Mechanism Required for Contrastive Loss Learning -- 3 Method -- 3.1 Overview -- 3.2 Clustering Radius Regulator -- 3.3 Progressive Proxy Adaptor -- 4 Experiment -- 4.1 Data and Evaluation Metrics -- 4.2 Implementation -- 4.3 Comparison with State-of-the-Art Methods -- 4.4 Ablation Study -- 5 Conclusion -- References -- Machine Learning Algorithms in Theory and Practice -- An Ensemble Classifier Based on kNN with an Interval Threshold Strategy -- 1 Introduction -- 2 Interval Modelling -- 3 Proposed Algorithm -- 4 Experiments -- 5 Results -- 6 Conclusion -- References -- Superior Parallel Big Data Clustering Through Competitive Stochastic Sample Size Optimization in Big-Means -- 1 Introduction -- 2 Problem Statement -- 3 Related Works -- 4 Methodology -- 4.1 Big-Means Algorithm. 4.2 Competitive Sample Size Big-Means Algorithm -- 4.3 Detailed Algorithm Description -- 5 Experiment Setup -- 6 Experimental Results and Discussion -- 6.1 Performance Evaluation -- 7 Conclusion and Future Works -- References -- Invigorative Art -- 1 Introduction -- 2 Literature Review -- 3 Proposal of an Image-Based Evolutionary System -- 3.1 Evaluation Function -- 3.2 Crossover and Mutation Operation -- 4 Selected Measures of the Level of Aesthetics -- 4.1 Benford's Law -- 4.2 Fractal Dimension -- 5 Experimental Results -- 6 Summary -- References -- Exploring the Impact of Object Diversity on Classification Quality in Dispersed Data Environments -- 1 Introduction -- 2 Materials and Methods -- 3 Data Sets and Results -- 4 Conclusions -- References -- Identification of Users in a Gambling Problem with the Use of Machine Learning -- 1 Introduction -- 2 Related Works -- 3 Responsible Gambling Tools -- 4 Model Formulation -- 5 Data Preparation -- 5.1 Feature Mining -- 6 Numerical Experiments -- 6.1 Human Verification -- 7 Conclusions -- References -- Towards Robust Continual Learning: A Multi-Head Approach with Online Prototype Equilibrium and Adaptive Prototypical Feedback -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Feature Representation Optimization -- 3.2 Classification Layer Optimization -- 4 Experiments and Results -- 4.1 Evaluation Metrics -- 4.2 Results -- 5 Conclusion -- References -- On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks -- 1 Introduction -- 1.1 Related Works -- 2 Methods -- 2.1 Experiment Setup -- 2.2 Augmentation Strategies (Artificial Feature Types) -- 2.3 GNN Models Used -- 2.4 Synthetic Network Datasets -- 3 Results -- 4 Conclusions and Future Work -- References -- Prediction and Recommendation Systems. A Clustering-Based Athlete Recommender System Considering the Discrepancy Between Ability and Result. |
| Record Nr. | UNINA-9910874691403321 |
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Nguyen Ngoc Thanh
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| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Information and Database Systems : 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, Part II
| Intelligent Information and Database Systems : 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, Part II |
| Autore | Nguyen Ngoc Thanh |
| Pubbl/distr/stampa | Cham : , : Springer, , 2023 |
| Descrizione fisica | 1 online resource (766 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
TranTien Khoa
TukayevUalsher HongTzung-Pei TrawińskiBogdan SzczerbickiEdward |
| Collana | Lecture Notes in Computer Science |
| Soggetto non controllato |
Information Technology
Computer Graphics Data Mining Artificial Intelligence Computers |
| ISBN | 3-031-21967-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Machine Learning and Data Mining -- Machine Learning or Lexicon Based Sentiment Analysis Techniques on Social Media Posts -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Comparison Between Sentiment Analysis Methods -- 4 Results and Discussion -- 5 Conclusion -- References -- A Comparative Study of Classification and Clustering Methods from Text of Books -- 1 Introduction -- 2 Related Works -- 3 Project Gutenberg -- 4 Natural Language Processing -- 4.1 Word Weighting Measures -- 5 Machine Learning Methods -- 5.1 Algorithms for Classification -- 5.2 Algorithm for Clustering -- 5.3 Measures of the Quality -- 6 Proposed Approach -- 7 Experiments -- 7.1 Experimental Design and Data Set -- 7.2 Results of Experiments -- 8 Conclusions -- References -- A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting -- 1 Introduction -- 2 Related Works -- 2.1 Feature Selection Methods -- 2.2 GA-Based Feature Selection -- 3 GA-Based Model-Agnostic Feature Selection -- 3.1 Problem Formulation -- 3.2 Overview -- 3.3 GA-Based Feature Selector -- 3.4 Training Data Generator -- 4 Performance Evaluation -- 4.1 Evaluation Settings -- 4.2 Impact of GA-Based Feature Selector -- 4.3 Impact of Training Data Generator -- 5 Conclusion -- References -- Machine Learning Approach to Predict Metastasis in Lung Cancer Based on Radiomic Features -- 1 Background -- 2 Materials and Methods -- 2.1 Data -- 2.2 Radiomics Features -- 2.3 Classification Workflow -- 3 Feature Selection Challenges -- 3.1 Multiple ROIs from the Same Patient -- 3.2 Response Variable Type -- 3.3 Small Differences Between Classes -- 4 Results -- 5 Discussion and Future Work -- References -- Covariance Controlled Bayesian Rose Trees -- 1 Introduction -- 2 Algorithm.
2.1 Hierarchical Clustering -- 2.2 Bayesian Rose Trees -- 2.3 Constraining BRT Hierarchies -- 2.4 Parameterisation -- 2.5 Depth Level as a Function of the Likelihood -- 2.6 Hierarchy Outside of Defined Clusters -- 3 Method Comparison -- 4 Conclusions -- References -- Potential of Radiomics Features for Predicting Time to Metastasis in NSCLC -- 1 Background -- 2 Materials and Methods -- 2.1 Data -- 2.2 Radiomics Features -- 2.3 Data Pre-processing and Unsupervised Analysis -- 2.4 Modeling of Metastasis Free Survival -- 3 Results -- 4 Discussion and Future Work -- References -- A Survey of Network Features for Machine Learning Algorithms to Detect Network Attacks -- 1 Introduction -- 2 Background Study -- 3 Literature Survey -- 4 Shortcoming of Existing Literature -- 5 Recommendations -- References -- The Quality of Clustering Data Containing Outliers -- 1 Introduction -- 1.1 The Structure of the Paper -- 2 State of Art -- 3 Clustering Data Containing Outliers -- 3.1 Clustering Algorithms: Hierarchical AHC vs Partitional K-Means -- 3.2 Clustering Quality Indices -- 3.3 Outlier Definition -- 3.4 Outlier Detection Algorithms -- 4 Experiments -- 4.1 Data Description -- 4.2 Methodology -- 4.3 Experimental Environment -- 4.4 Results -- 4.5 Discussion -- 5 Summary -- References -- Aggregated Performance Measures for Multi-class Classification -- 1 Introduction -- 2 Method -- 2.1 Classification of a Single Data Point -- 2.2 Aggregation Over Classes and Thresholds -- 2.3 Normalisation -- 2.4 The Case of Specificity -- 2.5 The Compound Measure of Accuracy -- 3 Discussion -- References -- Prediction of Lung Cancer Survival Based on Multiomic Data -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Used in the Study -- 2.2 Feature Definition and Pre-selection -- 2.3 Variable Importance Study -- 2.4 Classification of Data -- 3 Results. 3.1 Aggregation and Dimensionality Reduction -- 3.2 Predictive Potential of Various -Omics Datasets -- 3.3 Variable Importance Study in a Multiomic Dataset -- 4 Discussion -- References -- Graph Neural Networks-Based Multilabel Classification of Citation Network -- 1 Introduction -- 2 Related Works -- 3 Dataset Description -- 4 Experiments -- 5 Multilabel Classification Approach -- 6 Conclusion and Future Works -- References -- Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases -- 1 Introduction -- 2 Related Work -- 3 The Model of Partial Periodic Pattern -- 4 Proposed Algorithm -- 4.1 3P-ECLAT Algorithm -- 5 Experimental Results -- 5.1 Evaluation of Algorithms by Varying minPS -- 5.2 Evaluation of Algorithms by Varying Per -- 5.3 Scalability Test -- 5.4 A Case Study: Finding Areas Where People Have Been Regularly Exposed to Hazardous Levels of PM2.5 Pollutant -- 6 Conclusions and Future Work -- References -- Avoiding Time Series Prediction Disbelief with Ensemble Classifiers in Multi-class Problem Spaces -- 1 Introduction -- 2 Time Series Analysis Life-Cycle -- 3 Prediction Disbelief in Acceptance Tests of Forecasting Models -- 4 Discussion -- 5 Conclusions -- References -- Speeding Up Recommender Systems Using Association Rules -- 1 Introduction -- 2 Preliminaries -- 2.1 Factorization Machines -- 2.2 Association Rules -- 2.3 Related Works -- 3 FMAR Recommender System -- 3.1 Problem Definition -- 3.2 Factorization Machine Apriori Based Model -- 3.3 Factorization Machine FP-Growth Based Model -- 4 Evaluation for FMAR -- 4.1 Performance Comparison and Analysis -- 5 Conclusions and Future Work -- References -- An Empirical Experiment on Feature Extractions Based for Speech Emotion Recognition -- 1 Introduction -- 2 Literature Review -- 3 Dataset -- 4 Feature Extraction -- 5 Methodology -- 5.1 Input Preparation. 5.2 Classification Models -- 6 Experimental Results -- 7 Conclusion and Discussion -- References -- Parameter Distribution Ensemble Learning for Sudden Concept Drift Detection -- 1 Introduction -- 2 Methods -- 2.1 BO-ERICS Phase -- 2.2 Ensemble Phase -- 3 Experiments and Discussion -- 3.1 Datasets -- 3.2 Evaluation -- 3.3 Results -- 3.4 Discussion -- 4 Conclusions -- References -- MLP-Mixer Approach for Corn Leaf Diseases Classification -- 1 Introduction -- 2 Related Work -- 2.1 Literature Review -- 2.2 MLP-Mixer -- 2.3 Deep Learning -- 3 Methods -- 3.1 Data Requirements, Collection and Preparation -- 3.2 Configure the Hyperparameters -- 3.3 Build a Classification Model -- 3.4 Define an Experiment and Data Augmentation -- 3.5 The MLP-Mixer Model Structure -- 3.6 Build, Train, and Evaluate the MLP-Mixer Model -- 4 Experiment and Result -- 4.1 Image Segmentation -- 4.2 Experiment Results (Train and Evaluate Model) -- 4.3 Discussion -- 5 Conclusion -- References -- A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations -- 1 Introduction -- 2 Related Work -- 3 A Novel Training Method with Semi-Pseudo-Labeling and 3D Augmentations -- 3.1 Semi-Pseudo-Labeling -- 3.2 3D Augmentations -- 3.3 An Example of Training with Semi-Pseudo-Labeling and 3D Augmentations -- 4 Experiments -- 4.1 Argoverse -- 4.2 In-House Highway Dataset -- 5 Conclusion -- References -- Machine Learning Methods for BIM Data -- 1 Introduction -- 2 BIM Data - IFC Files -- 3 Machine Learning Techniques for BIM -- 3.1 Learning Semantic Information - Space Classification -- 3.2 Semantic Enrichment of BIM Models from Point Clouds -- 3.3 Building Condition Diagnosis -- 3.4 BIM Enhancement in the Facility Management Context -- 3.5 Knowledge Extraction from BIM -- 4 Conclusions -- References. Self-Optimizing Neural Network in Classification of Real Valued Experimental Data -- 1 Introduction -- 2 Self Optimizing Neural Network -- 2.1 SONN Formalism -- 2.2 Fundamental Coefficient of Discrimination -- 2.3 Structure of the Network and the Weight Factor -- 2.4 Network Response -- 3 Experiment and Results -- 3.1 Dataset -- 3.2 Data Preparation -- 3.3 Classification -- 4 Conclusion -- References -- Analyzing the Effectiveness of the Gaussian Mixture Model Clustering Algorithm in Software Enhancement Effort Estimation -- 1 Introduction -- 2 Backgrounds -- 2.1 The FPA Overview -- 2.2 The Gaussian Mixture Model Clustering Algorithm -- 2.3 The k-means Clustering Algorithm -- 3 Research Methodology -- 3.1 Dataset Pre-processing -- 3.2 Determine the Number of Clusters -- 3.3 Evaluation Criteria -- 4 Results and Discussions -- 5 Conclusion -- References -- Graph Classification via Graph Structure Learning -- 1 Introduction -- 2 Related Works -- 3 Proposed Method: GC-GSL -- 3.1 Extracting Topological Attribute Vector -- 3.2 Rooted Subgraph Mining -- 3.3 Neural Network Graph Embedding -- 3.4 Computational Complexity -- 4 Experiments -- 4.1 Results -- 4.2 Discussions -- 5 Conclusion -- References -- Relearning Ensemble Selection Based on New Generated Features -- 1 Introduction -- 2 Related Works -- 3 The Proposed Framework -- 3.1 Generation of Diverse Base Classifiers -- 3.2 Relearning Base Classifiers -- 3.3 Feature Generation Based on Learned and Relearned Base Classifiers -- 3.4 Learning Second-Level Base Classifier Based on New Vector of the Features -- 3.5 Selection Base Classifiers Based on Second-Level Classification Result -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 5 Discussion -- 6 Conclusions -- References -- Random Forest in Whitelist-Based ATM Security -- 1 Introduction -- 2 Related Work -- 3 Test Procedure. 4 Data Pre-processing. |
| Record Nr. | UNISA-996503470803316 |
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Nguyen Ngoc Thanh
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| Cham : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Intelligent Information and Database Systems : 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, Part II
| Intelligent Information and Database Systems : 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, Part II |
| Autore | Nguyen Ngoc Thanh (Computer scientist) |
| Pubbl/distr/stampa | Cham : , : Springer, , 2023 |
| Descrizione fisica | 1 online resource (766 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
TranTien Khoa
TukayevUalsher HongTzung-Pei TrawińskiBogdan SzczerbickiEdward |
| Collana | Lecture Notes in Computer Science |
| Soggetto non controllato |
Information Technology
Computer Graphics Data Mining Artificial Intelligence Computers |
| ISBN | 3-031-21967-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Machine Learning and Data Mining -- Machine Learning or Lexicon Based Sentiment Analysis Techniques on Social Media Posts -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Comparison Between Sentiment Analysis Methods -- 4 Results and Discussion -- 5 Conclusion -- References -- A Comparative Study of Classification and Clustering Methods from Text of Books -- 1 Introduction -- 2 Related Works -- 3 Project Gutenberg -- 4 Natural Language Processing -- 4.1 Word Weighting Measures -- 5 Machine Learning Methods -- 5.1 Algorithms for Classification -- 5.2 Algorithm for Clustering -- 5.3 Measures of the Quality -- 6 Proposed Approach -- 7 Experiments -- 7.1 Experimental Design and Data Set -- 7.2 Results of Experiments -- 8 Conclusions -- References -- A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting -- 1 Introduction -- 2 Related Works -- 2.1 Feature Selection Methods -- 2.2 GA-Based Feature Selection -- 3 GA-Based Model-Agnostic Feature Selection -- 3.1 Problem Formulation -- 3.2 Overview -- 3.3 GA-Based Feature Selector -- 3.4 Training Data Generator -- 4 Performance Evaluation -- 4.1 Evaluation Settings -- 4.2 Impact of GA-Based Feature Selector -- 4.3 Impact of Training Data Generator -- 5 Conclusion -- References -- Machine Learning Approach to Predict Metastasis in Lung Cancer Based on Radiomic Features -- 1 Background -- 2 Materials and Methods -- 2.1 Data -- 2.2 Radiomics Features -- 2.3 Classification Workflow -- 3 Feature Selection Challenges -- 3.1 Multiple ROIs from the Same Patient -- 3.2 Response Variable Type -- 3.3 Small Differences Between Classes -- 4 Results -- 5 Discussion and Future Work -- References -- Covariance Controlled Bayesian Rose Trees -- 1 Introduction -- 2 Algorithm.
2.1 Hierarchical Clustering -- 2.2 Bayesian Rose Trees -- 2.3 Constraining BRT Hierarchies -- 2.4 Parameterisation -- 2.5 Depth Level as a Function of the Likelihood -- 2.6 Hierarchy Outside of Defined Clusters -- 3 Method Comparison -- 4 Conclusions -- References -- Potential of Radiomics Features for Predicting Time to Metastasis in NSCLC -- 1 Background -- 2 Materials and Methods -- 2.1 Data -- 2.2 Radiomics Features -- 2.3 Data Pre-processing and Unsupervised Analysis -- 2.4 Modeling of Metastasis Free Survival -- 3 Results -- 4 Discussion and Future Work -- References -- A Survey of Network Features for Machine Learning Algorithms to Detect Network Attacks -- 1 Introduction -- 2 Background Study -- 3 Literature Survey -- 4 Shortcoming of Existing Literature -- 5 Recommendations -- References -- The Quality of Clustering Data Containing Outliers -- 1 Introduction -- 1.1 The Structure of the Paper -- 2 State of Art -- 3 Clustering Data Containing Outliers -- 3.1 Clustering Algorithms: Hierarchical AHC vs Partitional K-Means -- 3.2 Clustering Quality Indices -- 3.3 Outlier Definition -- 3.4 Outlier Detection Algorithms -- 4 Experiments -- 4.1 Data Description -- 4.2 Methodology -- 4.3 Experimental Environment -- 4.4 Results -- 4.5 Discussion -- 5 Summary -- References -- Aggregated Performance Measures for Multi-class Classification -- 1 Introduction -- 2 Method -- 2.1 Classification of a Single Data Point -- 2.2 Aggregation Over Classes and Thresholds -- 2.3 Normalisation -- 2.4 The Case of Specificity -- 2.5 The Compound Measure of Accuracy -- 3 Discussion -- References -- Prediction of Lung Cancer Survival Based on Multiomic Data -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Used in the Study -- 2.2 Feature Definition and Pre-selection -- 2.3 Variable Importance Study -- 2.4 Classification of Data -- 3 Results. 3.1 Aggregation and Dimensionality Reduction -- 3.2 Predictive Potential of Various -Omics Datasets -- 3.3 Variable Importance Study in a Multiomic Dataset -- 4 Discussion -- References -- Graph Neural Networks-Based Multilabel Classification of Citation Network -- 1 Introduction -- 2 Related Works -- 3 Dataset Description -- 4 Experiments -- 5 Multilabel Classification Approach -- 6 Conclusion and Future Works -- References -- Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases -- 1 Introduction -- 2 Related Work -- 3 The Model of Partial Periodic Pattern -- 4 Proposed Algorithm -- 4.1 3P-ECLAT Algorithm -- 5 Experimental Results -- 5.1 Evaluation of Algorithms by Varying minPS -- 5.2 Evaluation of Algorithms by Varying Per -- 5.3 Scalability Test -- 5.4 A Case Study: Finding Areas Where People Have Been Regularly Exposed to Hazardous Levels of PM2.5 Pollutant -- 6 Conclusions and Future Work -- References -- Avoiding Time Series Prediction Disbelief with Ensemble Classifiers in Multi-class Problem Spaces -- 1 Introduction -- 2 Time Series Analysis Life-Cycle -- 3 Prediction Disbelief in Acceptance Tests of Forecasting Models -- 4 Discussion -- 5 Conclusions -- References -- Speeding Up Recommender Systems Using Association Rules -- 1 Introduction -- 2 Preliminaries -- 2.1 Factorization Machines -- 2.2 Association Rules -- 2.3 Related Works -- 3 FMAR Recommender System -- 3.1 Problem Definition -- 3.2 Factorization Machine Apriori Based Model -- 3.3 Factorization Machine FP-Growth Based Model -- 4 Evaluation for FMAR -- 4.1 Performance Comparison and Analysis -- 5 Conclusions and Future Work -- References -- An Empirical Experiment on Feature Extractions Based for Speech Emotion Recognition -- 1 Introduction -- 2 Literature Review -- 3 Dataset -- 4 Feature Extraction -- 5 Methodology -- 5.1 Input Preparation. 5.2 Classification Models -- 6 Experimental Results -- 7 Conclusion and Discussion -- References -- Parameter Distribution Ensemble Learning for Sudden Concept Drift Detection -- 1 Introduction -- 2 Methods -- 2.1 BO-ERICS Phase -- 2.2 Ensemble Phase -- 3 Experiments and Discussion -- 3.1 Datasets -- 3.2 Evaluation -- 3.3 Results -- 3.4 Discussion -- 4 Conclusions -- References -- MLP-Mixer Approach for Corn Leaf Diseases Classification -- 1 Introduction -- 2 Related Work -- 2.1 Literature Review -- 2.2 MLP-Mixer -- 2.3 Deep Learning -- 3 Methods -- 3.1 Data Requirements, Collection and Preparation -- 3.2 Configure the Hyperparameters -- 3.3 Build a Classification Model -- 3.4 Define an Experiment and Data Augmentation -- 3.5 The MLP-Mixer Model Structure -- 3.6 Build, Train, and Evaluate the MLP-Mixer Model -- 4 Experiment and Result -- 4.1 Image Segmentation -- 4.2 Experiment Results (Train and Evaluate Model) -- 4.3 Discussion -- 5 Conclusion -- References -- A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations -- 1 Introduction -- 2 Related Work -- 3 A Novel Training Method with Semi-Pseudo-Labeling and 3D Augmentations -- 3.1 Semi-Pseudo-Labeling -- 3.2 3D Augmentations -- 3.3 An Example of Training with Semi-Pseudo-Labeling and 3D Augmentations -- 4 Experiments -- 4.1 Argoverse -- 4.2 In-House Highway Dataset -- 5 Conclusion -- References -- Machine Learning Methods for BIM Data -- 1 Introduction -- 2 BIM Data - IFC Files -- 3 Machine Learning Techniques for BIM -- 3.1 Learning Semantic Information - Space Classification -- 3.2 Semantic Enrichment of BIM Models from Point Clouds -- 3.3 Building Condition Diagnosis -- 3.4 BIM Enhancement in the Facility Management Context -- 3.5 Knowledge Extraction from BIM -- 4 Conclusions -- References. Self-Optimizing Neural Network in Classification of Real Valued Experimental Data -- 1 Introduction -- 2 Self Optimizing Neural Network -- 2.1 SONN Formalism -- 2.2 Fundamental Coefficient of Discrimination -- 2.3 Structure of the Network and the Weight Factor -- 2.4 Network Response -- 3 Experiment and Results -- 3.1 Dataset -- 3.2 Data Preparation -- 3.3 Classification -- 4 Conclusion -- References -- Analyzing the Effectiveness of the Gaussian Mixture Model Clustering Algorithm in Software Enhancement Effort Estimation -- 1 Introduction -- 2 Backgrounds -- 2.1 The FPA Overview -- 2.2 The Gaussian Mixture Model Clustering Algorithm -- 2.3 The k-means Clustering Algorithm -- 3 Research Methodology -- 3.1 Dataset Pre-processing -- 3.2 Determine the Number of Clusters -- 3.3 Evaluation Criteria -- 4 Results and Discussions -- 5 Conclusion -- References -- Graph Classification via Graph Structure Learning -- 1 Introduction -- 2 Related Works -- 3 Proposed Method: GC-GSL -- 3.1 Extracting Topological Attribute Vector -- 3.2 Rooted Subgraph Mining -- 3.3 Neural Network Graph Embedding -- 3.4 Computational Complexity -- 4 Experiments -- 4.1 Results -- 4.2 Discussions -- 5 Conclusion -- References -- Relearning Ensemble Selection Based on New Generated Features -- 1 Introduction -- 2 Related Works -- 3 The Proposed Framework -- 3.1 Generation of Diverse Base Classifiers -- 3.2 Relearning Base Classifiers -- 3.3 Feature Generation Based on Learned and Relearned Base Classifiers -- 3.4 Learning Second-Level Base Classifier Based on New Vector of the Features -- 3.5 Selection Base Classifiers Based on Second-Level Classification Result -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 5 Discussion -- 6 Conclusions -- References -- Random Forest in Whitelist-Based ATM Security -- 1 Introduction -- 2 Related Work -- 3 Test Procedure. 4 Data Pre-processing. |
| Record Nr. | UNINA-9910634044103321 |
|
Nguyen Ngoc Thanh (Computer scientist)
|
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| Cham : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Information and Database Systems [[electronic resource] ] : 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8–11, 2019, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawiński
| Intelligent Information and Database Systems [[electronic resource] ] : 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8–11, 2019, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawiński |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XL, 722 p. 337 illus., 215 illus. in color.) |
| Disciplina | 006.33 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Application software Computer vision Artificial Intelligence Data Mining and Knowledge Discovery Computer and Information Systems Applications Computer Vision |
| ISBN | 3-030-14802-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Collective Intelligence for Service Innovation, Technology Management, E-learning, and Fuzzy Intelligent Systems -- Increasing the Quality of Multi-step consensus -- An Independence Measure for Scientist Collections Based on Social Media Profiles -- A Pattern Recognition Based FMEA for Safety-Critical SCADA Systems -- Interactive Genetic Algorithm Joining Recommender System -- Maturity Level Evaluation of Information Technology Governance in Payment Gateway Service Company Using COBIT -- Data Structures Modelling for Knowledge Representation -- A Framework for Merging Possibilistic Knowledge Bases -- Conceptual Modeling of Team Development -- Ontological information as part of continuous monitoring software for production fault detection -- Social Media Influence as Enabler of Sustainable Knowledge Management System inside PT.ABC Organization -- Advanced Data Mining Techniques and Applications -- Content-Based Music Classification by Advanced Features and Progressive Learning -- Appliance of Social Network Analysis and Data Visualization Techniques in Analysis of Information Propagation -- A Temporal Approach for Air Quality Forecast -- Quad-Partitioning-based Robotic Arm Guidance based on Image Data Processing with Single Inexpensive Camera for Precisely Picking Bean Defects in Coffee Industry -- On the Analysis of Kelly Criterion and Its Application -- Single Image Super-resolution with Vision Loss Function -- Content-Based Motorcycle Counting for Traffic Management by Image Recognition -- Intelligent Information Systems -- Use of Blockchain in Education: A Systematic Literature Review -- A Comparative Study of Techniques for Avoiding Premature Convergence in Harmony Search Algorithm -- Analysis of different approaches to designing the Parallel Harmony Search algorithm for ATSP -- Differential Evolution in Agent-based Computing -- Verifying Usefulness of Ant Colony Community for Solving Dynamic TSP -- Physical Layer Security cognitive Decode-and-Forward Relay Beamforming Network With Multiple Eavesdroppers -- Co-exploring a Search Space in a Group Recommender System -- Differential Cryptanalysis of Symmetric Block Ciphers Using Memetic Algorithms -- Intelligent Methods and Artificial Intelligence for Biomedical Decision Support Systems -- Modeling of Articular Cartilage with Goal of Early Osteoarthritis Extraction based on Local Fuzzy Thresholding driven by Fuzzy C-Means Clustering -- Modeling and Features Extraction of Heal Bone Fracture Reparation Dynamical Process from X-ray Images based on Time Iteration Segmentation model driven by Gaussian Energy -- A Semi-Supervised Learning Approach for Automatic Segmentation of Retinal Lesions using SURF Blob Detector and Locally Adaptive Binarization -- Autonomous Segmentation and Modeling of Brain Pathological Findings based on Iterative Segmentation from MR Images -- Design and Analysis of LMMSE filter for MR image data -- A nearest neighbour-based analysis to identify patients from continuous glucose monitor data -- PCA Kernel Based Extreme Learning Machine Model for Detection of NS1 from Salivary SERS Spectra -- Improving the Robustness of the Glycemic Variability Percentage Metric to Sensor Dropouts in Continuous Glucose Monitor Data -- GenPress: A Novel Dictionary Based Method to Compress DNA Data of Various Species -- Utilizing Pretrained Deep Learning Models for Auto-mated Pulmonary Tuberculosis Detection using Chest Radiography -- Intelligent and Contextual Systems -- Advanced neural network approach, its explanation with LIME for credit scoring application -- Non-Uniform Initialization of Inputs Groupings in Contextual Neural Networks -- Implementation and Analysis of Contextual Neural Networks in H2O Framework -- Low-level greyscale image descriptors applied for intelligent and contextual approaches -- Intelligent Systems and Algorithms in Information Sciences -- Motion controlling using finite-state automata -- Automatic recognition of Kazakh speech using Deep Neural Networks -- Feedback Shift Registers Evolutionary Design using Reverse Polish Notation -- Intelligent Supply Chains and e-Commerce -- IT value for customer: its influence on satisfaction and loyalty in e-commerce -- Multicriteria Selection of Online Advertising Content for the Effective Habituation Effect Reduction -- Dark Side of Digital Transformation in Tourism -- Increasing User Engagement and Virtual Goods Life Span through Products Diversity and Intensity of Content Updates -- Sensor Networks and Internet of Things -- Analysis of the Error Rate in Electrometers for Smart Grid Metering -- Multi-cell based UWB indoor positioning system -- An Improved Resampling Scheme for Particle Filtering in Inertial Navigation System -- Analysis of Image, Video, Movements and Brain Intelligence in Life Sciences -- Quaternion watershed transform in segmentation of motion capture data -- How Does State Space Definition Influence the Measure of Chaotic Behavior? -- Granular computing (GC) demonstrates interactions between depression and symptoms development in Parkinson's disease patients -- Measurements of antisaccades parameters can improve the prediction of Parkinson's disease progression -- DTI helps to predict Parkinson's patient's symptoms using data mining techniques -- Fractional calculus in human arm modeling -- Computer Vision and Intelligent Systems -- Real-time Multiple Face Tracking with Moving Camera for Support Service Robot -- Modified Stacked Hourglass Networks for Facial Landmarks Detection -- Ensemble of Predictions from Augmented Input as Adversarial Defense for Face Verification System -- Vehicle categorical recognition for traffic monitoring in intelligence transportation systems -- Video-based Vietnamese Sign Language Recognition using Local Descriptors -- Mathematical Variable Detection in PDF Scientific Documents -- Predicting Cardiovascular Risk Level based on Biochemical Risk Factor Indicators using Machine Learning: A Case Study in Indonesia. |
| Record Nr. | UNISA-996466274303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Information and Database Systems [[electronic resource] ] : 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8–11, 2019, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawiński
| Intelligent Information and Database Systems [[electronic resource] ] : 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8–11, 2019, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawiński |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXXIX, 754 p. 355 illus., 183 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Application software Computer vision Artificial Intelligence Data Mining and Knowledge Discovery Computer and Information Systems Applications Computer Vision |
| ISBN | 3-030-14799-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Engineering and Semantic Web -- Algorithms for Merging Probabilistic Knowledge Bases -- A Formal Framework for the Ontology Evolution -- Logical Problem Solving Framework -- Term Rewriting That Preserves Models in KR-Logic -- Towards Knowledge Formalization and Sharing in a Cognitive Vison Platform for Hazard Control (CVP-HC) -- Assessing Individuals Learning's Impairments from a Social Entropic Perspective -- Text Processing and Information Retrieval -- Robust Web Data Extraction based on Unsupervised Visual Validation -- A Character-level Deep Lifelong Learning Model for Named Entity Recognition in Vietnamese Text -- Identification of Conclusive Association Entities by Biomedical Association Mining -- A Data Preprocessing Method to Classify and Summarize Aspect-Based Opinions using Deep Learning -- Word Mover's Distance for Agglomerative Short Text Clustering -- Improving Semantic Relation Extraction System with Compositional Dependency Unit on Enriched Shortest Dependency Path -- An Adversarial Learning and Canonical Correlation Analysis based Cross-Modal Retrieval Model -- Event Prediction Based on Causality Reasoning -- A method for detecting and analyzing the sentiment of tweets containing conditional sentences -- Aggregating Web Search Results -- Cross-Lingual Korean Speech-to-Text Summarization -- On Some Approach to Evaluation in Personalized Document Retrieval Systems -- Machine Learning and Data Mining -- A Class-Cluster k-Nearest Neighbors Method for Temporal In-Trouble Student Identification -- Multidimensional Permutation Entropy for Constrained Motif Discovery -- A LSTM Approach for Sales Forecasting of Goods with Short-term Demands in E-Commerce -- Detection of Rare Elements in Investigation of Medical Problems -- Cardiac murmur effects on automatic segmentation of ECG signals for biometric identification: Preliminary study -- An Approach to Estimation of Residential Housing Type Based on the Analysis of Parked Cars -- Household Electric Load Pattern Consumption Enhanced Simulation by Random Behavior -- Anomaly Detection Procedures in a Real World Dataset by Using Deep-Learning Approaches -- Developing a General Video Game AI Controller Based on an Evolutionary Approach -- Separable data aggregation by layers of binary classifiers -- Adaptation and recovery stages for case-based reasoning systems using Bayesian estimation and Density estimation with Nearest Neighbors -- Feature extraction analysis for emotion recognition from ICEEMD of multimodal physiological signals -- Using Fourier series to improve the prediction accuracy of Nonlinear Grey Bernoulli Model -- Learning Hierarchical Weather Data Representation for Short-term Weather Forecasting using Autoencoder and LSTM -- Logo and Brand Recognition from Imbalanced Dataset using MiniGoogLenet and MiniVGGnet Models -- Decision Support and Control Systems -- Selected problems of controllability of semilinear fractional systems-a Survey -- A data-driven approach to modeling and solving academic teachers' competences configuration problem -- PID Regulatory Control Design for a Double Tank System Based on Time-Scale Separation -- Towards Formal, Graph-based Spatial Data Processing: The Case of Lighting Segments for Pedestrian Crossings -- Multi-Agent Support For Street Lighting Modernization Planning -- An application a two-level determination consensus method in a multi-agent financial decisions support system -- Implementing Smart Virtual Product Development (SVPD) to Support Product Manufacturing -- PID Tuning with Neural Networks -- Repeatable trust game { preliminary experimental results -- Modeling of uncertainty with Petri nets -- A Collaborative Approach Based on DCA and VNS for Solving Mixed Binary Linear Programs -- Adoption of Cloud Business Intelligence in Indonesia's Financial Services Sector -- Stakeholder impact on the success and risk of failure of ICT projects in Poland -- Analysis of the Influence of ICT and Public Recognition on University Credibility -- Quantum Game-Based Recommender Systems for Disruptive Innovations -- Computer Vision Techniques -- Matching Topological Structures for Handwritten Character Recognition -- Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment -- Multi-scale Autoencoders in Autoencoder for Semantic Image Segmentation -- Simultaneous Localization and Segmentation of Fish Objects using Multi-Task CNN and Dense CRF -- Violent Crowd Flow Detection Using Deep Learning -- Drowsiness Detection in Drivers through Real-time Image Processing of the Human Eye -- Software Techniques to Reduce Cybersickness among Users of Immersive Virtual Reality Environments -- Semi-supervised learning with Bidirectional GANs -- Sharp Images Detection for Microscope Pollen Slides Observation -- Databases and Intelligent Information Systems -- Slowly Changing Dimension Handling in Data Warehouses using Temporal Database Features -- Tackling Complex Queries to Relational Databases -- Approximate Outputs of Accelerated Turing Machines Closest to Their Halting Point -- Development of Seawater Temperature Announcement System for Improving Productivity of Fishery Industry -- TB5 tool for tracking personality traits -- Comparative Analysis of Usability of Data Entry Design Patterns for Mobile Applications. |
| Record Nr. | UNISA-996466275303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Information and Database Systems : 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8–11, 2019, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawiński
| Intelligent Information and Database Systems : 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8–11, 2019, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawiński |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXXIX, 754 p. 355 illus., 183 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Application software Computer vision Artificial Intelligence Data Mining and Knowledge Discovery Computer and Information Systems Applications Computer Vision |
| ISBN | 3-030-14799-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Engineering and Semantic Web -- Algorithms for Merging Probabilistic Knowledge Bases -- A Formal Framework for the Ontology Evolution -- Logical Problem Solving Framework -- Term Rewriting That Preserves Models in KR-Logic -- Towards Knowledge Formalization and Sharing in a Cognitive Vison Platform for Hazard Control (CVP-HC) -- Assessing Individuals Learning's Impairments from a Social Entropic Perspective -- Text Processing and Information Retrieval -- Robust Web Data Extraction based on Unsupervised Visual Validation -- A Character-level Deep Lifelong Learning Model for Named Entity Recognition in Vietnamese Text -- Identification of Conclusive Association Entities by Biomedical Association Mining -- A Data Preprocessing Method to Classify and Summarize Aspect-Based Opinions using Deep Learning -- Word Mover's Distance for Agglomerative Short Text Clustering -- Improving Semantic Relation Extraction System with Compositional Dependency Unit on Enriched Shortest Dependency Path -- An Adversarial Learning and Canonical Correlation Analysis based Cross-Modal Retrieval Model -- Event Prediction Based on Causality Reasoning -- A method for detecting and analyzing the sentiment of tweets containing conditional sentences -- Aggregating Web Search Results -- Cross-Lingual Korean Speech-to-Text Summarization -- On Some Approach to Evaluation in Personalized Document Retrieval Systems -- Machine Learning and Data Mining -- A Class-Cluster k-Nearest Neighbors Method for Temporal In-Trouble Student Identification -- Multidimensional Permutation Entropy for Constrained Motif Discovery -- A LSTM Approach for Sales Forecasting of Goods with Short-term Demands in E-Commerce -- Detection of Rare Elements in Investigation of Medical Problems -- Cardiac murmur effects on automatic segmentation of ECG signals for biometric identification: Preliminary study -- An Approach to Estimation of Residential Housing Type Based on the Analysis of Parked Cars -- Household Electric Load Pattern Consumption Enhanced Simulation by Random Behavior -- Anomaly Detection Procedures in a Real World Dataset by Using Deep-Learning Approaches -- Developing a General Video Game AI Controller Based on an Evolutionary Approach -- Separable data aggregation by layers of binary classifiers -- Adaptation and recovery stages for case-based reasoning systems using Bayesian estimation and Density estimation with Nearest Neighbors -- Feature extraction analysis for emotion recognition from ICEEMD of multimodal physiological signals -- Using Fourier series to improve the prediction accuracy of Nonlinear Grey Bernoulli Model -- Learning Hierarchical Weather Data Representation for Short-term Weather Forecasting using Autoencoder and LSTM -- Logo and Brand Recognition from Imbalanced Dataset using MiniGoogLenet and MiniVGGnet Models -- Decision Support and Control Systems -- Selected problems of controllability of semilinear fractional systems-a Survey -- A data-driven approach to modeling and solving academic teachers' competences configuration problem -- PID Regulatory Control Design for a Double Tank System Based on Time-Scale Separation -- Towards Formal, Graph-based Spatial Data Processing: The Case of Lighting Segments for Pedestrian Crossings -- Multi-Agent Support For Street Lighting Modernization Planning -- An application a two-level determination consensus method in a multi-agent financial decisions support system -- Implementing Smart Virtual Product Development (SVPD) to Support Product Manufacturing -- PID Tuning with Neural Networks -- Repeatable trust game { preliminary experimental results -- Modeling of uncertainty with Petri nets -- A Collaborative Approach Based on DCA and VNS for Solving Mixed Binary Linear Programs -- Adoption of Cloud Business Intelligence in Indonesia's Financial Services Sector -- Stakeholder impact on the success and risk of failure of ICT projects in Poland -- Analysis of the Influence of ICT and Public Recognition on University Credibility -- Quantum Game-Based Recommender Systems for Disruptive Innovations -- Computer Vision Techniques -- Matching Topological Structures for Handwritten Character Recognition -- Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment -- Multi-scale Autoencoders in Autoencoder for Semantic Image Segmentation -- Simultaneous Localization and Segmentation of Fish Objects using Multi-Task CNN and Dense CRF -- Violent Crowd Flow Detection Using Deep Learning -- Drowsiness Detection in Drivers through Real-time Image Processing of the Human Eye -- Software Techniques to Reduce Cybersickness among Users of Immersive Virtual Reality Environments -- Semi-supervised learning with Bidirectional GANs -- Sharp Images Detection for Microscope Pollen Slides Observation -- Databases and Intelligent Information Systems -- Slowly Changing Dimension Handling in Data Warehouses using Temporal Database Features -- Tackling Complex Queries to Relational Databases -- Approximate Outputs of Accelerated Turing Machines Closest to Their Halting Point -- Development of Seawater Temperature Announcement System for Improving Productivity of Fishery Industry -- TB5 tool for tracking personality traits -- Comparative Analysis of Usability of Data Entry Design Patterns for Mobile Applications. |
| Record Nr. | UNINA-9910337565003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Information and Database Systems : 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8–11, 2019, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawiński
| Intelligent Information and Database Systems : 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8–11, 2019, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawiński |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XL, 722 p. 337 illus., 215 illus. in color.) |
| Disciplina |
006.33
006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Application software Computer vision Artificial Intelligence Data Mining and Knowledge Discovery Computer and Information Systems Applications Computer Vision |
| ISBN | 3-030-14802-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Collective Intelligence for Service Innovation, Technology Management, E-learning, and Fuzzy Intelligent Systems -- Increasing the Quality of Multi-step consensus -- An Independence Measure for Scientist Collections Based on Social Media Profiles -- A Pattern Recognition Based FMEA for Safety-Critical SCADA Systems -- Interactive Genetic Algorithm Joining Recommender System -- Maturity Level Evaluation of Information Technology Governance in Payment Gateway Service Company Using COBIT -- Data Structures Modelling for Knowledge Representation -- A Framework for Merging Possibilistic Knowledge Bases -- Conceptual Modeling of Team Development -- Ontological information as part of continuous monitoring software for production fault detection -- Social Media Influence as Enabler of Sustainable Knowledge Management System inside PT.ABC Organization -- Advanced Data Mining Techniques and Applications -- Content-Based Music Classification by Advanced Features and Progressive Learning -- Appliance of Social Network Analysis and Data Visualization Techniques in Analysis of Information Propagation -- A Temporal Approach for Air Quality Forecast -- Quad-Partitioning-based Robotic Arm Guidance based on Image Data Processing with Single Inexpensive Camera for Precisely Picking Bean Defects in Coffee Industry -- On the Analysis of Kelly Criterion and Its Application -- Single Image Super-resolution with Vision Loss Function -- Content-Based Motorcycle Counting for Traffic Management by Image Recognition -- Intelligent Information Systems -- Use of Blockchain in Education: A Systematic Literature Review -- A Comparative Study of Techniques for Avoiding Premature Convergence in Harmony Search Algorithm -- Analysis of different approaches to designing the Parallel Harmony Search algorithm for ATSP -- Differential Evolution in Agent-based Computing -- Verifying Usefulness of Ant Colony Community for Solving Dynamic TSP -- Physical Layer Security cognitive Decode-and-Forward Relay Beamforming Network With Multiple Eavesdroppers -- Co-exploring a Search Space in a Group Recommender System -- Differential Cryptanalysis of Symmetric Block Ciphers Using Memetic Algorithms -- Intelligent Methods and Artificial Intelligence for Biomedical Decision Support Systems -- Modeling of Articular Cartilage with Goal of Early Osteoarthritis Extraction based on Local Fuzzy Thresholding driven by Fuzzy C-Means Clustering -- Modeling and Features Extraction of Heal Bone Fracture Reparation Dynamical Process from X-ray Images based on Time Iteration Segmentation model driven by Gaussian Energy -- A Semi-Supervised Learning Approach for Automatic Segmentation of Retinal Lesions using SURF Blob Detector and Locally Adaptive Binarization -- Autonomous Segmentation and Modeling of Brain Pathological Findings based on Iterative Segmentation from MR Images -- Design and Analysis of LMMSE filter for MR image data -- A nearest neighbour-based analysis to identify patients from continuous glucose monitor data -- PCA Kernel Based Extreme Learning Machine Model for Detection of NS1 from Salivary SERS Spectra -- Improving the Robustness of the Glycemic Variability Percentage Metric to Sensor Dropouts in Continuous Glucose Monitor Data -- GenPress: A Novel Dictionary Based Method to Compress DNA Data of Various Species -- Utilizing Pretrained Deep Learning Models for Auto-mated Pulmonary Tuberculosis Detection using Chest Radiography -- Intelligent and Contextual Systems -- Advanced neural network approach, its explanation with LIME for credit scoring application -- Non-Uniform Initialization of Inputs Groupings in Contextual Neural Networks -- Implementation and Analysis of Contextual Neural Networks in H2O Framework -- Low-level greyscale image descriptors applied for intelligent and contextual approaches -- Intelligent Systems and Algorithms in Information Sciences -- Motion controlling using finite-state automata -- Automatic recognition of Kazakh speech using Deep Neural Networks -- Feedback Shift Registers Evolutionary Design using Reverse Polish Notation -- Intelligent Supply Chains and e-Commerce -- IT value for customer: its influence on satisfaction and loyalty in e-commerce -- Multicriteria Selection of Online Advertising Content for the Effective Habituation Effect Reduction -- Dark Side of Digital Transformation in Tourism -- Increasing User Engagement and Virtual Goods Life Span through Products Diversity and Intensity of Content Updates -- Sensor Networks and Internet of Things -- Analysis of the Error Rate in Electrometers for Smart Grid Metering -- Multi-cell based UWB indoor positioning system -- An Improved Resampling Scheme for Particle Filtering in Inertial Navigation System -- Analysis of Image, Video, Movements and Brain Intelligence in Life Sciences -- Quaternion watershed transform in segmentation of motion capture data -- How Does State Space Definition Influence the Measure of Chaotic Behavior? -- Granular computing (GC) demonstrates interactions between depression and symptoms development in Parkinson's disease patients -- Measurements of antisaccades parameters can improve the prediction of Parkinson's disease progression -- DTI helps to predict Parkinson's patient's symptoms using data mining techniques -- Fractional calculus in human arm modeling -- Computer Vision and Intelligent Systems -- Real-time Multiple Face Tracking with Moving Camera for Support Service Robot -- Modified Stacked Hourglass Networks for Facial Landmarks Detection -- Ensemble of Predictions from Augmented Input as Adversarial Defense for Face Verification System -- Vehicle categorical recognition for traffic monitoring in intelligence transportation systems -- Video-based Vietnamese Sign Language Recognition using Local Descriptors -- Mathematical Variable Detection in PDF Scientific Documents -- Predicting Cardiovascular Risk Level based on Biochemical Risk Factor Indicators using Machine Learning: A Case Study in Indonesia. |
| Record Nr. | UNINA-9910337565103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Information and Database Systems [[electronic resource] ] : 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19-21, 2018, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Duong Hung Hoang, Tzung-Pei Hong, Hoang Pham, Bogdan Trawiński
| Intelligent Information and Database Systems [[electronic resource] ] : 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19-21, 2018, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Duong Hung Hoang, Tzung-Pei Hong, Hoang Pham, Bogdan Trawiński |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XLII, 731 p. 304 illus.) |
| Disciplina | 006.33 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Information technology—Management Computer vision Algorithms Artificial Intelligence Data Mining and Knowledge Discovery Computer Application in Administrative Data Processing Computer Vision |
| ISBN | 3-319-75420-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Engineering and Semantic Web -- Social Networks and Recommender Systems -- Text Processing and Information Retrieval -- Machine Learning and Data Mining; Decision Support and Control Systems -- Computer Vision Techniques -- Advanced Data Mining Techniques and Applications -- Multiple Model Approach to Machine Learning -- Sensor Networks and Internet of Things -- Intelligent Information Systems -- Data Structures Modeling for Knowledge Representation -- Modeling, Storing, and Querying of Graph Data -- Data Science and Computational Intelligence -- Design Thinking Based R&D, Development Technique, and Project Based Learning -- Intelligent and Contextual Systems -- Intelligent Systems and Algorithms in Information Sciences -- Intelligent Applications of Internet of Thing and Data Analysis Technologies -- Intelligent Systems and Methods in Biomedicine -- Intelligent Biomarkers of Neurodegenerative Processes in Brain -- Analysis of Image, Video and Motion Data in Life Sciences -- Computational Imaging and Vision -- Computer Vision and Robotics -- Intelligent Computer Vision Systems and Applications -- Intelligent Systems for Optimization of Logistics and Industrial Applications. |
| Record Nr. | UNISA-996465502003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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