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Intelligent Data Engineering and Automated Learning - IDEAL 2006 [[electronic resource] ] : 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings / / edited by Emilio Corchado, Hujun Yin, Vicente Botti, Colin Fyfe
| Intelligent Data Engineering and Automated Learning - IDEAL 2006 [[electronic resource] ] : 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings / / edited by Emilio Corchado, Hujun Yin, Vicente Botti, Colin Fyfe |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (LIV, 1450 p.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data structures (Computer science)
Database management Algorithms Application software Information storage and retrieval Computers and civilization Data Structures and Information Theory Database Management Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Information Storage and Retrieval Computers and Society |
| ISBN | 3-540-45487-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning and Information Processing -- Data Mining, Retrieval and Management -- Bioinformatics and Bio-inspired Models -- Agents and Hybrid Systems -- Financial Engineering -- Special Session on Nature-Inspired Date Technologies. |
| Record Nr. | UNINA-9910484170803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Data Engineering and Automated Learning - IDEAL 2006 [[electronic resource] ] : 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings / / edited by Emilio Corchado, Hujun Yin, Vicente Botti, Colin Fyfe
| Intelligent Data Engineering and Automated Learning - IDEAL 2006 [[electronic resource] ] : 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings / / edited by Emilio Corchado, Hujun Yin, Vicente Botti, Colin Fyfe |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (LIV, 1450 p.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data structures (Computer science)
Database management Algorithms Application software Information storage and retrieval Computers and civilization Data Structures and Information Theory Database Management Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Information Storage and Retrieval Computers and Society |
| ISBN | 3-540-45487-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning and Information Processing -- Data Mining, Retrieval and Management -- Bioinformatics and Bio-inspired Models -- Agents and Hybrid Systems -- Financial Engineering -- Special Session on Nature-Inspired Date Technologies. |
| Record Nr. | UNISA-996466112403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Data Engineering and Automated Learning - IDEAL 2009 [[electronic resource] ] : 10th International Conference, Burgos, Spain, September 23-26, 2009, Proceedings / / edited by Emilio Corchado, Hujun Yin
| Intelligent Data Engineering and Automated Learning - IDEAL 2009 [[electronic resource] ] : 10th International Conference, Burgos, Spain, September 23-26, 2009, Proceedings / / edited by Emilio Corchado, Hujun Yin |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XXIII, 826 p.) |
| Disciplina | 005.7565 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Artificial intelligence Computer simulation Algorithms Bioinformatics Database Management Data Mining and Knowledge Discovery Artificial Intelligence Simulation and Modeling Algorithm Analysis and Problem Complexity Computational Biology/Bioinformatics |
| ISBN | 3-642-04394-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning and Information Processing -- Data Mining and Information Management -- Neuro-Informatics, Bio-Informatics and Bio-Inspired Models -- Agents and Hybrid Systems -- Soft Computing Techniques in Data Mining -- Recent Advances on Swarm-Based Computing -- Intelligent Computational Techniques in Medical Image Processing -- Advances on Ensemble Learning and Information Fusion -- Financial and Business Engineering (Modeling and Applications) -- MIR Day 2009 - Burgos -- Nature Inspired Models for Industrial Applications. |
| Record Nr. | UNISA-996465309903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Data Engineering and Automated Learning - IDEAL 2009 [[electronic resource] ] : 10th International Conference, Burgos, Spain, September 23-26, 2009, Proceedings / / edited by Emilio Corchado, Hujun Yin
| Intelligent Data Engineering and Automated Learning - IDEAL 2009 [[electronic resource] ] : 10th International Conference, Burgos, Spain, September 23-26, 2009, Proceedings / / edited by Emilio Corchado, Hujun Yin |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XXIII, 826 p.) |
| Disciplina | 005.7565 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Artificial intelligence Computer simulation Algorithms Bioinformatics Database Management Data Mining and Knowledge Discovery Artificial Intelligence Simulation and Modeling Algorithm Analysis and Problem Complexity Computational Biology/Bioinformatics |
| ISBN | 3-642-04394-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning and Information Processing -- Data Mining and Information Management -- Neuro-Informatics, Bio-Informatics and Bio-Inspired Models -- Agents and Hybrid Systems -- Soft Computing Techniques in Data Mining -- Recent Advances on Swarm-Based Computing -- Intelligent Computational Techniques in Medical Image Processing -- Advances on Ensemble Learning and Information Fusion -- Financial and Business Engineering (Modeling and Applications) -- MIR Day 2009 - Burgos -- Nature Inspired Models for Industrial Applications. |
| Record Nr. | UNINA-9910484799403321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent data engineering and automated learning - IDEAL 2021 : 22nd international conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, proceedings / / Hujun Yin [and seven others], editors
| Intelligent data engineering and automated learning - IDEAL 2021 : 22nd international conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, proceedings / / Hujun Yin [and seven others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (663 pages) |
| Disciplina | 621.367 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Optical data processing
Data mining |
| ISBN | 3-030-91608-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910510549703321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent data engineering and automated learning - IDEAL 2021 : 22nd international conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, proceedings / / Hujun Yin [and seven others], editors
| Intelligent data engineering and automated learning - IDEAL 2021 : 22nd international conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, proceedings / / Hujun Yin [and seven others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (663 pages) |
| Disciplina | 621.367 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Optical data processing
Data mining |
| ISBN | 3-030-91608-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464383503316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent data engineering and automated learning - IDEAL 2022 : 23rd International Conference, Manchester, UK, November 24-26, 2022, proceedings / / Hujun Yin, David Camacho, Peter Tino, editors
| Intelligent data engineering and automated learning - IDEAL 2022 : 23rd International Conference, Manchester, UK, November 24-26, 2022, proceedings / / Hujun Yin, David Camacho, Peter Tino, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (564 pages) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Database management |
| ISBN | 3-031-21753-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Main Track -- Ensemble Stack Architecture for Lungs Segmentation from X-ray Images -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Experiment -- 4.1 Evaluation Protocols -- 4.2 Dataset -- 4.3 Training Regime -- 4.4 Results -- 5 Comparison with State-of-the-Arts -- 6 Conclusion -- References -- Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Synonym Replacement and Essay Generation -- 3.2 Data Augmentation -- 4 Scoring Models -- 5 Experiment -- 5.1 Data Sets -- 5.2 Essay Pre-processing -- 5.3 Evaluation Methodology -- 6 Results and Discussion -- 6.1 Improving Robustness with Adversarial Data Augmentation and Training -- 7 Conclusions -- References -- Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Description -- 2.2 Unsupervised and Interpretable Methods -- 3 Experimental Results -- 3.1 Characterization of Clusters and CVD Risk Analysis -- 4 Conclusions -- References -- Identification of Sedimentary Strata by Segmentation Neural Networks of Oblique Photogrammetry of UAVs -- 1 Introduction -- 2 Theoretical Foundations and Related Works -- 3 Data and Methods -- 3.1 Segmentation Architecture -- 3.2 Dataset -- 4 Experiment and Discussion -- 4.1 Experiment -- 4.2 Discussion -- 5 Conclusion -- References -- Detection of False Information in Spanish Using Machine Learning Techniques -- 1 Introduction -- 2 Background and Related Work -- 3 Data and Resources -- 4 Methodology -- 4.1 Linguistic Features -- 4.2 The Conceptual Architecture of the Fine-Tuned Model -- 4.3 The Technological Implementation -- 4.4 Evaluation Metrics -- 5 Results -- 6 Conclusions and Future Work -- References.
An Approach to Authenticity Speech Validation Through Facial Recognition and Artificial Intelligence Techniques -- 1 Introduction -- 2 State of Data -- 2.1 Deception Detection Techniques -- 2.2 Face Recognition and Face Features Extraction -- 3 Experiment -- 3.1 Framework -- 3.2 Dataset -- 3.3 Concept Proof -- 3.4 Training Details -- 4 Results and Discussion -- 4.1 Dataset Analysis -- 4.2 RNN Model -- 5 Conclusion -- References -- Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis -- 1 Introduction -- 2 Methodology -- 2.1 Problem Formulation -- 2.2 Federated Model -- 2.3 Self-trained Student Model -- 3 Experiments and Results -- 3.1 Dataset -- 3.2 Implementation Details -- 3.3 Validation of the Framework -- 3.4 Results of the Proposed Framework -- 4 Conclusion -- References -- Automatic Exploration of Domain Knowledge in Healthcare -- 1 Introduction -- 2 Background -- 3 DANKFE - DomAiN Knowledge Based Feature Engineering -- 4 Case Study: Prediction During COVID-19 Pandemic -- 4.1 Experimental Results -- 5 Conclusion -- References -- On Studying the Effect of Data Quality on Classification Performances -- 1 Introduction -- 2 C1: The Perceived Difficulty of Using a Method According to Experts -- 3 How Good Is a Repairing (Study of C2 to C5) -- 3.1 Empirical Setup -- 3.2 C2: Impact of the Degradation of the Data on Repairing Effectiveness -- 3.3 C3: Effectiveness of the Repairing Tools -- 3.4 C4 and C5: Impact of the Type of Error and Impact of the Classification Model -- 4 Discussion -- 4.1 Is It Always Better to Repair Data? -- 4.2 Threats to Validity -- 5 Conclusion -- References -- A Binary Water Flow Optimizer Applied to Feature Selection -- 1 Introduction -- 2 Water Flow Optimizer -- 2.1 Laminar Operator -- 2.2 Turbulent Operator -- 2.3 Algorithm -- 3 Proposal: Binary Water Flow Optimizer (BWFO). 3.1 Binary Laminar Flow Operator -- 3.2 Binary Turbulent Flow -- 3.3 Framework BWFO -- 4 Simulations and Discussions -- 5 Conclusion -- References -- Benchmarking Data Augmentation Techniques for Tabular Data -- 1 Introduction -- 2 State of Art -- 3 Experiments -- 3.1 Data -- 3.2 Assessment Metrics -- 3.3 Experimental Results -- 4 Conclusion -- References -- Deep Learning Based Predictive Analytics for Decentralized Content Caching in Hierarchical Edge Networks -- 1 Introduction -- 2 Literature Review -- 3 Related Works -- 4 Methodology -- 4.1 System Architecture -- 4.2 Dataset Preprocessing -- 4.3 Model Specification -- 5 Implementation -- 5.1 Constructing the Model -- 5.2 Content Caching and Replacing -- 6 Result Analysis -- 7 Conclusion -- References -- Explanations of Performance Differences in Segment Lining for Tunnel Boring Machines -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Performance Classification -- 3.2 Model Evaluation -- 4 Results -- 4.1 Model Performance Comparison -- 4.2 Feature Representation Extraction -- 5 Discussion -- 6 Conclusion -- References -- On Autonomous Drone Navigation Using Deep Learning and an Intelligent Rainbow DQN Agent -- 1 Introduction -- 2 Preliminaries -- 2.1 Value Function -- 2.2 Multilayer Perceptron Neural Networks -- 3 Methodology -- 3.1 Deep Q Networks -- 3.2 Double Deep Q Networks -- 3.3 Learning with Multiple Training Cycles -- 3.4 Rainbow Agent -- 3.5 Problem Formulation -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- An Intelligent Decision Support System for Road Freight Transport -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Problem Formulation -- 3.2 Proposed IDSS -- 3.3 Evaluation Methodology -- 4 Results -- 4.1 Developed IDSS Prototype -- 4.2 Evaluation -- 5 Conclusions -- References. Endowing Intelligent Vehicles with the Ability to Learn User's Habits and Preferences with Machine Learning Methods -- 1 Introduction -- 2 Overview of Applied Techniques -- 2.1 Clustering Approaches for Point of Interest (POI) Extraction -- 2.2 Artificial Neural Networks -- 2.3 Regressions -- 3 Methodology -- 3.1 Predicting the Next Vehicle Trip State -- 3.2 Predicting the Comfort Setting -- 4 Results -- 4.1 Datasets -- 4.2 Next Trip State of a Vehicle -- 4.3 Next Trip's Comfort Setting -- 5 Conclusion -- References -- Duplication Scheduling with Bottom-Up Top-Down Recursive Neural Network -- 1 Introduction -- 2 Preliminaries -- 2.1 Recursive Neural Network -- 2.2 Bottom-Up Top-Down Recursive Neural Network -- 3 Experiments -- 4 Results and Performance Comparison -- 5 Conclusion -- References -- Towards a Low-Cost Companion Robot for Helping Elderly Well-Being -- 1 Introduction -- 2 System Description -- 2.1 Hardware Description -- 2.2 Software Description -- 3 Conclusions and Future Works -- References -- Zero-Shot Knowledge Graph Completion for Recommendation System -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Framework -- 3.2 Problem Formulation -- 3.3 Zero-Shot KGC -- 4 Experiments -- 4.1 Dataset -- 4.2 Data Pre-processing -- 4.3 Experimental Setup -- 4.4 Experiments Result and Comparisons -- 5 Conclusion and Future Work -- References -- The Covid-19 Influence on the Desire to Stay at Home: A Big Data Architecture -- 1 Introduction -- 2 State of the Art -- 3 Materials and Methods -- 3.1 Sources and Data Collection -- 3.2 Storage -- 3.3 ETL Process -- 3.4 Data Visualization -- 4 Results and Discussion -- 4.1 Use Case 1: United States of America -- 4.2 Use Case 2: India -- 4.3 Use Case 3: Brazil -- 5 Conclusions -- References -- Distance-Based Delays in Echo State Networks -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusion. 5 Future Work -- References -- EduBot: A Proof-of-Concept for a High School Motivational Agent -- 1 Introduction -- 2 State of the Art -- 3 Dataset Presentation -- 4 An Active Motivational Digital Assistant -- 4.1 Education Data Mining -- 4.2 Education Intelligence Module -- 4.3 Digital Assistant Motivational Module -- 5 Conclusion -- References -- A Simulation Model for Predicting the Spread of COVID-19 Virus -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusions -- References -- ICU Mortality Prediction Using Long Short-Term Memory Networks -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 3.1 Feature Engineering -- 3.2 Feature Preprocessing -- 4 Methodology -- 4.1 Model Configuration -- 4.2 Model Implementation -- 5 Experimental Results -- 6 Conclusion and Future Works -- References -- Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Search Space -- 3.2 Combining Learning Rate Distributions -- 4 Experimental Approach -- 4.1 Datasets -- 4.2 Types of Data Shift -- 4.3 Baselines and Implementation Details -- 5 Results -- 5.1 Dataset Shift -- 5.2 Distribution Shift -- 6 Conclusion -- References -- How Image Retrieval and Matching Can Improve Object Localisation on Offshore Platforms -- 1 Introduction -- 2 Related Work -- 3 ARRANGE: ImAge RetRieval mAtchiNG ObjEct -- 3.1 Principle -- 3.2 Image Retrieval -- 3.3 Image Matching -- 4 Performance Evaluation -- 4.1 ARRANGE`s Analysis -- 4.2 ARRANGE Vs. State-of.the-art Object Localisation Algorithms -- 5 Conclusion -- References -- Ethereum Investment Based on LSTM and GRU Forecast -- 1 Introduction -- 2 Materials: Data and Pre-processing -- 2.1 Feature Selection -- 3 Methods: Neural Networks Application -- 3.1 Network Architecture and Parametrization -- 3.2 Metrics. 3.3 Training and Testing Data. |
| Record Nr. | UNINA-9910631095403321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent data engineering and automated learning - IDEAL 2022 : 23rd International Conference, Manchester, UK, November 24-26, 2022, proceedings / / Hujun Yin, David Camacho, Peter Tino, editors
| Intelligent data engineering and automated learning - IDEAL 2022 : 23rd International Conference, Manchester, UK, November 24-26, 2022, proceedings / / Hujun Yin, David Camacho, Peter Tino, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (564 pages) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Database management |
| ISBN | 3-031-21753-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Main Track -- Ensemble Stack Architecture for Lungs Segmentation from X-ray Images -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Experiment -- 4.1 Evaluation Protocols -- 4.2 Dataset -- 4.3 Training Regime -- 4.4 Results -- 5 Comparison with State-of-the-Arts -- 6 Conclusion -- References -- Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Synonym Replacement and Essay Generation -- 3.2 Data Augmentation -- 4 Scoring Models -- 5 Experiment -- 5.1 Data Sets -- 5.2 Essay Pre-processing -- 5.3 Evaluation Methodology -- 6 Results and Discussion -- 6.1 Improving Robustness with Adversarial Data Augmentation and Training -- 7 Conclusions -- References -- Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Description -- 2.2 Unsupervised and Interpretable Methods -- 3 Experimental Results -- 3.1 Characterization of Clusters and CVD Risk Analysis -- 4 Conclusions -- References -- Identification of Sedimentary Strata by Segmentation Neural Networks of Oblique Photogrammetry of UAVs -- 1 Introduction -- 2 Theoretical Foundations and Related Works -- 3 Data and Methods -- 3.1 Segmentation Architecture -- 3.2 Dataset -- 4 Experiment and Discussion -- 4.1 Experiment -- 4.2 Discussion -- 5 Conclusion -- References -- Detection of False Information in Spanish Using Machine Learning Techniques -- 1 Introduction -- 2 Background and Related Work -- 3 Data and Resources -- 4 Methodology -- 4.1 Linguistic Features -- 4.2 The Conceptual Architecture of the Fine-Tuned Model -- 4.3 The Technological Implementation -- 4.4 Evaluation Metrics -- 5 Results -- 6 Conclusions and Future Work -- References.
An Approach to Authenticity Speech Validation Through Facial Recognition and Artificial Intelligence Techniques -- 1 Introduction -- 2 State of Data -- 2.1 Deception Detection Techniques -- 2.2 Face Recognition and Face Features Extraction -- 3 Experiment -- 3.1 Framework -- 3.2 Dataset -- 3.3 Concept Proof -- 3.4 Training Details -- 4 Results and Discussion -- 4.1 Dataset Analysis -- 4.2 RNN Model -- 5 Conclusion -- References -- Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis -- 1 Introduction -- 2 Methodology -- 2.1 Problem Formulation -- 2.2 Federated Model -- 2.3 Self-trained Student Model -- 3 Experiments and Results -- 3.1 Dataset -- 3.2 Implementation Details -- 3.3 Validation of the Framework -- 3.4 Results of the Proposed Framework -- 4 Conclusion -- References -- Automatic Exploration of Domain Knowledge in Healthcare -- 1 Introduction -- 2 Background -- 3 DANKFE - DomAiN Knowledge Based Feature Engineering -- 4 Case Study: Prediction During COVID-19 Pandemic -- 4.1 Experimental Results -- 5 Conclusion -- References -- On Studying the Effect of Data Quality on Classification Performances -- 1 Introduction -- 2 C1: The Perceived Difficulty of Using a Method According to Experts -- 3 How Good Is a Repairing (Study of C2 to C5) -- 3.1 Empirical Setup -- 3.2 C2: Impact of the Degradation of the Data on Repairing Effectiveness -- 3.3 C3: Effectiveness of the Repairing Tools -- 3.4 C4 and C5: Impact of the Type of Error and Impact of the Classification Model -- 4 Discussion -- 4.1 Is It Always Better to Repair Data? -- 4.2 Threats to Validity -- 5 Conclusion -- References -- A Binary Water Flow Optimizer Applied to Feature Selection -- 1 Introduction -- 2 Water Flow Optimizer -- 2.1 Laminar Operator -- 2.2 Turbulent Operator -- 2.3 Algorithm -- 3 Proposal: Binary Water Flow Optimizer (BWFO). 3.1 Binary Laminar Flow Operator -- 3.2 Binary Turbulent Flow -- 3.3 Framework BWFO -- 4 Simulations and Discussions -- 5 Conclusion -- References -- Benchmarking Data Augmentation Techniques for Tabular Data -- 1 Introduction -- 2 State of Art -- 3 Experiments -- 3.1 Data -- 3.2 Assessment Metrics -- 3.3 Experimental Results -- 4 Conclusion -- References -- Deep Learning Based Predictive Analytics for Decentralized Content Caching in Hierarchical Edge Networks -- 1 Introduction -- 2 Literature Review -- 3 Related Works -- 4 Methodology -- 4.1 System Architecture -- 4.2 Dataset Preprocessing -- 4.3 Model Specification -- 5 Implementation -- 5.1 Constructing the Model -- 5.2 Content Caching and Replacing -- 6 Result Analysis -- 7 Conclusion -- References -- Explanations of Performance Differences in Segment Lining for Tunnel Boring Machines -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Performance Classification -- 3.2 Model Evaluation -- 4 Results -- 4.1 Model Performance Comparison -- 4.2 Feature Representation Extraction -- 5 Discussion -- 6 Conclusion -- References -- On Autonomous Drone Navigation Using Deep Learning and an Intelligent Rainbow DQN Agent -- 1 Introduction -- 2 Preliminaries -- 2.1 Value Function -- 2.2 Multilayer Perceptron Neural Networks -- 3 Methodology -- 3.1 Deep Q Networks -- 3.2 Double Deep Q Networks -- 3.3 Learning with Multiple Training Cycles -- 3.4 Rainbow Agent -- 3.5 Problem Formulation -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- An Intelligent Decision Support System for Road Freight Transport -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Problem Formulation -- 3.2 Proposed IDSS -- 3.3 Evaluation Methodology -- 4 Results -- 4.1 Developed IDSS Prototype -- 4.2 Evaluation -- 5 Conclusions -- References. Endowing Intelligent Vehicles with the Ability to Learn User's Habits and Preferences with Machine Learning Methods -- 1 Introduction -- 2 Overview of Applied Techniques -- 2.1 Clustering Approaches for Point of Interest (POI) Extraction -- 2.2 Artificial Neural Networks -- 2.3 Regressions -- 3 Methodology -- 3.1 Predicting the Next Vehicle Trip State -- 3.2 Predicting the Comfort Setting -- 4 Results -- 4.1 Datasets -- 4.2 Next Trip State of a Vehicle -- 4.3 Next Trip's Comfort Setting -- 5 Conclusion -- References -- Duplication Scheduling with Bottom-Up Top-Down Recursive Neural Network -- 1 Introduction -- 2 Preliminaries -- 2.1 Recursive Neural Network -- 2.2 Bottom-Up Top-Down Recursive Neural Network -- 3 Experiments -- 4 Results and Performance Comparison -- 5 Conclusion -- References -- Towards a Low-Cost Companion Robot for Helping Elderly Well-Being -- 1 Introduction -- 2 System Description -- 2.1 Hardware Description -- 2.2 Software Description -- 3 Conclusions and Future Works -- References -- Zero-Shot Knowledge Graph Completion for Recommendation System -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Framework -- 3.2 Problem Formulation -- 3.3 Zero-Shot KGC -- 4 Experiments -- 4.1 Dataset -- 4.2 Data Pre-processing -- 4.3 Experimental Setup -- 4.4 Experiments Result and Comparisons -- 5 Conclusion and Future Work -- References -- The Covid-19 Influence on the Desire to Stay at Home: A Big Data Architecture -- 1 Introduction -- 2 State of the Art -- 3 Materials and Methods -- 3.1 Sources and Data Collection -- 3.2 Storage -- 3.3 ETL Process -- 3.4 Data Visualization -- 4 Results and Discussion -- 4.1 Use Case 1: United States of America -- 4.2 Use Case 2: India -- 4.3 Use Case 3: Brazil -- 5 Conclusions -- References -- Distance-Based Delays in Echo State Networks -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusion. 5 Future Work -- References -- EduBot: A Proof-of-Concept for a High School Motivational Agent -- 1 Introduction -- 2 State of the Art -- 3 Dataset Presentation -- 4 An Active Motivational Digital Assistant -- 4.1 Education Data Mining -- 4.2 Education Intelligence Module -- 4.3 Digital Assistant Motivational Module -- 5 Conclusion -- References -- A Simulation Model for Predicting the Spread of COVID-19 Virus -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusions -- References -- ICU Mortality Prediction Using Long Short-Term Memory Networks -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 3.1 Feature Engineering -- 3.2 Feature Preprocessing -- 4 Methodology -- 4.1 Model Configuration -- 4.2 Model Implementation -- 5 Experimental Results -- 6 Conclusion and Future Works -- References -- Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Search Space -- 3.2 Combining Learning Rate Distributions -- 4 Experimental Approach -- 4.1 Datasets -- 4.2 Types of Data Shift -- 4.3 Baselines and Implementation Details -- 5 Results -- 5.1 Dataset Shift -- 5.2 Distribution Shift -- 6 Conclusion -- References -- How Image Retrieval and Matching Can Improve Object Localisation on Offshore Platforms -- 1 Introduction -- 2 Related Work -- 3 ARRANGE: ImAge RetRieval mAtchiNG ObjEct -- 3.1 Principle -- 3.2 Image Retrieval -- 3.3 Image Matching -- 4 Performance Evaluation -- 4.1 ARRANGE`s Analysis -- 4.2 ARRANGE Vs. State-of.the-art Object Localisation Algorithms -- 5 Conclusion -- References -- Ethereum Investment Based on LSTM and GRU Forecast -- 1 Introduction -- 2 Materials: Data and Pre-processing -- 2.1 Feature Selection -- 3 Methods: Neural Networks Application -- 3.1 Network Architecture and Parametrization -- 3.2 Metrics. 3.3 Training and Testing Data. |
| Record Nr. | UNISA-996500062703316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Data Engineering and Automated Learning -- IDEAL 2010 [[electronic resource] ] : 11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings / / edited by Colin Fyfe, Peter Tino, Darryl Charles, Cesar Garcia Osorio, Hujun Yin
| Intelligent Data Engineering and Automated Learning -- IDEAL 2010 [[electronic resource] ] : 11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings / / edited by Colin Fyfe, Peter Tino, Darryl Charles, Cesar Garcia Osorio, Hujun Yin |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XVI, 398 p. 134 illus.) |
| Disciplina | 006.31 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Artificial intelligence
Computer programming Database management Application software Information storage and retrieval Computers Artificial Intelligence Programming Techniques Database Management Information Systems Applications (incl. Internet) Information Storage and Retrieval Computation by Abstract Devices |
| ISBN |
1-280-38854-4
9786613566461 3-642-15381-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Large Scale Instance Selection by Means of a Parallel Algorithm -- Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection -- Generalized Derivative Based Kernelized Learning Vector Quantization -- Cost Optimization of a Localized Irrigation System Using Genetic Algorithms -- Dimension Reduction for Regression with Bottleneck Neural Networks -- Analysing Satellite Image Time Series by Means of Pattern Mining -- Sentences Generation by Frequent Parsing Patterns -- Gallbladder Boundary Segmentation from Ultrasound Images Using Active Contour Model -- On the Power of Topological Kernel in Microarray-Based Detection of Cancer -- An Evolutionary Multi-objective Optimization of Market Structures Using PBIL -- New Application of Graph Mining to Video Analysis -- Classification by Multiple Reducts-kNN with Confidence -- Towards Automatic Classification of Wikipedia Content -- Investigating the Behaviour of Radial Basis Function Networks in Regression and Classification of Geospatial Data -- A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm -- Simplified Self-Adapting Skip Lists -- Multi-Agent Architecture with Support to Quality of Service and Quality of Control -- Robust 1-Norm Soft Margin Smooth Support Vector Machine -- A Generalization of Independence in Naive Bayes Model -- Interval Filter: A Locality-Aware Alternative to Bloom Filters for Hardware Membership Queries by Interval Classification -- Histogram Distance for Similarity Search in Large Time Series Database -- The Penalty Avoiding Rational Policy Making Algorithm in Continuous Action Spaces -- Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains -- The M-OLAP Cube Selection Problem: A Hyper-polymorphic Algorithm Approach -- Privacy Preserving Technique for Euclidean Distance Based Mining Algorithms Using a Wavelet Related Transform -- Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System -- Annotation and Retrieval of Cell Images -- Adaptive Particle Swarm Optimizer for Feature Selection -- A Randomized Sphere Cover Classifier -- Directed Figure Codes with Weak Equality -- Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks -- Relevance of Contextual Information in Compression-Based Text Clustering -- Simple Deterministically Constructed Recurrent Neural Networks -- Non-negative Matrix Factorization Implementation Using Graphic Processing Units -- A Neighborhood-Based Clustering by Means of the Triangle Inequality -- Selection of Structures with Grid Optimization, in Multiagent Data Warehouse -- Approximating the Covariance Matrix of GMMs with Low-Rank Perturbations -- Learning Negotiation Policies Using IB3 and Bayesian Networks -- Trajectory Based Behavior Analysis for User Verification -- Discovering Concept Mappings by Similarity Propagation among Substructures -- Clustering and Visualizing SOM Results -- A Hybrid Evolutionary Algorithm to Quadratic Three-Dimensional Assignment Problem with Local Search for Many-Core Graphics Processors -- Evolution Strategies for Objective Functions with Locally Correlated Variables -- Neural Data Analysis and Reduction Using Improved Framework of Information-Preserving EMD -- Improving the Performance of the Truncated Fourier Series Least Squares (TFSLS)Power System Load Model Using an Artificial Neural Network Paradigm -- An Efficient Approach to Clustering Real-Estate Listings -- Incremental Update of Cyclic Association Rules. |
| Record Nr. | UNISA-996466294103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Data Engineering and Automated Learning -- IDEAL 2010 [[electronic resource] ] : 11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings / / edited by Colin Fyfe, Peter Tino, Darryl Charles, Cesar Garcia Osorio, Hujun Yin
| Intelligent Data Engineering and Automated Learning -- IDEAL 2010 [[electronic resource] ] : 11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings / / edited by Colin Fyfe, Peter Tino, Darryl Charles, Cesar Garcia Osorio, Hujun Yin |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XVI, 398 p. 134 illus.) |
| Disciplina | 006.31 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Artificial intelligence
Computer programming Database management Application software Information storage and retrieval Computers Artificial Intelligence Programming Techniques Database Management Information Systems Applications (incl. Internet) Information Storage and Retrieval Computation by Abstract Devices |
| ISBN |
1-280-38854-4
9786613566461 3-642-15381-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Large Scale Instance Selection by Means of a Parallel Algorithm -- Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection -- Generalized Derivative Based Kernelized Learning Vector Quantization -- Cost Optimization of a Localized Irrigation System Using Genetic Algorithms -- Dimension Reduction for Regression with Bottleneck Neural Networks -- Analysing Satellite Image Time Series by Means of Pattern Mining -- Sentences Generation by Frequent Parsing Patterns -- Gallbladder Boundary Segmentation from Ultrasound Images Using Active Contour Model -- On the Power of Topological Kernel in Microarray-Based Detection of Cancer -- An Evolutionary Multi-objective Optimization of Market Structures Using PBIL -- New Application of Graph Mining to Video Analysis -- Classification by Multiple Reducts-kNN with Confidence -- Towards Automatic Classification of Wikipedia Content -- Investigating the Behaviour of Radial Basis Function Networks in Regression and Classification of Geospatial Data -- A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm -- Simplified Self-Adapting Skip Lists -- Multi-Agent Architecture with Support to Quality of Service and Quality of Control -- Robust 1-Norm Soft Margin Smooth Support Vector Machine -- A Generalization of Independence in Naive Bayes Model -- Interval Filter: A Locality-Aware Alternative to Bloom Filters for Hardware Membership Queries by Interval Classification -- Histogram Distance for Similarity Search in Large Time Series Database -- The Penalty Avoiding Rational Policy Making Algorithm in Continuous Action Spaces -- Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains -- The M-OLAP Cube Selection Problem: A Hyper-polymorphic Algorithm Approach -- Privacy Preserving Technique for Euclidean Distance Based Mining Algorithms Using a Wavelet Related Transform -- Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System -- Annotation and Retrieval of Cell Images -- Adaptive Particle Swarm Optimizer for Feature Selection -- A Randomized Sphere Cover Classifier -- Directed Figure Codes with Weak Equality -- Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks -- Relevance of Contextual Information in Compression-Based Text Clustering -- Simple Deterministically Constructed Recurrent Neural Networks -- Non-negative Matrix Factorization Implementation Using Graphic Processing Units -- A Neighborhood-Based Clustering by Means of the Triangle Inequality -- Selection of Structures with Grid Optimization, in Multiagent Data Warehouse -- Approximating the Covariance Matrix of GMMs with Low-Rank Perturbations -- Learning Negotiation Policies Using IB3 and Bayesian Networks -- Trajectory Based Behavior Analysis for User Verification -- Discovering Concept Mappings by Similarity Propagation among Substructures -- Clustering and Visualizing SOM Results -- A Hybrid Evolutionary Algorithm to Quadratic Three-Dimensional Assignment Problem with Local Search for Many-Core Graphics Processors -- Evolution Strategies for Objective Functions with Locally Correlated Variables -- Neural Data Analysis and Reduction Using Improved Framework of Information-Preserving EMD -- Improving the Performance of the Truncated Fourier Series Least Squares (TFSLS)Power System Load Model Using an Artificial Neural Network Paradigm -- An Efficient Approach to Clustering Real-Estate Listings -- Incremental Update of Cyclic Association Rules. |
| Record Nr. | UNINA-9910484046303321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
