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Intelligent Data Engineering and Automated Learning – IDEAL 2018 [[electronic resource] ] : 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part II / / edited by Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2018 [[electronic resource] ] : 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part II / / edited by Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXVI, 349 p. 96 illus., 62 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Artificial intelligence Natural language processing (Computer science) Application software Computer organization Data Mining and Knowledge Discovery Artificial Intelligence Natural Language Processing (NLP) Computer Applications Computer Systems Organization and Communication Networks |
| ISBN | 3-030-03496-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466315803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2019 [[electronic resource] ] : 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II / / edited by Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger
| Intelligent Data Engineering and Automated Learning – IDEAL 2019 [[electronic resource] ] : 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II / / edited by Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXI, 364 p. 115 illus., 86 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Education—Data processing Computers Application software Computer organization Artificial intelligence Data Mining and Knowledge Discovery Computers and Education Theory of Computation Computer Applications Computer Systems Organization and Communication Networks Artificial Intelligence |
| ISBN | 3-030-33617-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Special Session on Fuzzy Systems and Intelligent Data Analysis -- Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences -- Unsupervised Initialization of Archetypal Analysis and Proportional Membership Fuzzy Clustering -- Special Session on Machine Learning towards Smarter Multimodal Systems -- Multimodal Web Based Video Annotator with Real-Time Human Pose Estimation -- New Interfaces for Classifying Performance Gestures in Music -- Special Session on Data Selection in Machine Learning -- Classifying Ransomware Using Machine Learning Algorithms -- Artificial Neural Networks in Mathematical Mini-Games for Automatic Students Learning Styles Identification: A First Approach -- The Use of Unified Activity Records to Predict Requests Made by Applications for External Services -- Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders -- Multitemporal Aerial Image Registration Using Semantic Features -- Special Session on Machine Learning in Healthcare -- Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine -- Modelling survival by machine learning methods in liver transplantation: application to the UNOS dataset -- Design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images -- Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis -- A Clustering-Based Patient Grouper for Burn Care -- A comparative assessment of Feed-Forward and Convolutional Neural Networks for the classification of prostate lesions -- Special Session on Machine Learning in Automatic Control -- A Method based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI -- Safe Deep Neural Network-driven Autonomous Vehicles Using Software Safety Cages -- Wave and viscous resistance estimation by NN -- Neural controller of UAVs with inertia variations -- Special Session on Finance and Data Mining -- A Metric Framework for quantifying Data Concentration -- Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators -- Special Session on Knowledge Discovery from Data -- Exploiting Online Newspaper Articles Metadata for Profiling City Areas -- Modelling the Social Interactions in Ant Colony Optimization -- An Innovative Deep-Learning Algorithm for Supporting the Approximate Classication of Workloads in Big Data Environments -- Control-flow Business Process Summarization via Activity Contraction -- Classifying Flies Based on Reconstructed Audio Signals -- Studying the Evolution of the ‘Circular Economy’ Concept using Topic Modelling -- Mining Frequent Distributions in Time Series -- Time Series Display for Knowledge Discovery on Selective Laser Melting Machines -- Special Session on Machine Learning Algorithms for Hard Problems -- Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy -- SMOTE Algorithm Variations in Balancing Data Streams -- Multi-Class Text Complexity Evaluation via Deep Neural Networks -- Imbalance reduction techniques applied to ECG classification problem -- Machine Learning Methods for Fake News Classification -- A genetic-based ensemble learning applied to imbalanced data classification -- The feasibility of deep learning use for adversarial model extraction in the cybersecurity domain. |
| Record Nr. | UNINA-9910357852703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2019 [[electronic resource] ] : 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I / / edited by Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger
| Intelligent Data Engineering and Automated Learning – IDEAL 2019 [[electronic resource] ] : 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I / / edited by Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXII, 554 p. 213 illus., 141 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Education—Data processing Computers Application software Computer organization Artificial intelligence Data Mining and Knowledge Discovery Computers and Education Theory of Computation Computer Applications Computer Systems Organization and Communication Networks Artificial Intelligence |
| ISBN | 3-030-33607-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Orchids Classification Using Spatial Transformer Network with Adaptive Scaling -- Scalable Dictionary Classifiers for Time Series Classification -- Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm -- Meaningful Data Sampling for a Faithful Local Explanation Method -- Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor -- Adaptive Orthogonal Characteristics of Bio-inspired Neural Networks -- Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion -- Modeling Data Driven Interactions on Property Graph -- Adaptive Dimensionality Adjustment for Online "Principal Component Analysis" -- Relevance Metric for Counterfactuals Selection in Decision Trees -- Weighted Nearest Centroid Neighbourhood -- The Prevalence of Errors in Machine Learning Experiments -- A Hybrid Model for Fraud Detection on Purchase Orders -- Users Intention based on Twitter Features using Text Analytics -- Mixing hetero- and homogeneous models in weighted ensembles -- A Hybrid Approach to Time Series Classification with Shapelets -- An Ensemble Algorithm Based on Deep Learning for Tuberculosis Classification -- A Data-driven Approach to Automatic Extraction of Professional Figure Profiles from Résumés -- Retrieving and Processing Information from Clinical Algorithm via Formal Concept Analysis -- Comparative Analysis of Approaches to Building Medical Dialog Systems in Russian -- Tracking Position and Status of Electric Control Switches Based on YOLO Detector -- A Self-Generating Prototype method based on Information Entropy used for Condensing Data in Classification Tasks -- Transfer Knowledge between Sub-regions for Traffic Prediction using Deep Learning Method -- Global Q-Learning Approach for Power Allocation in Femtocell Networks -- Deep learning and Sensor Fusion Methods for Studying Gait Changes under Cognitive Load in Males and Females -- Towards a robotic personal trainer for the elderly -- Image Quality Constrained GAN for Super-Resolution -- Use Case Prediction using Product Reviews Text Classification -- Convolutional Neural Network for Core Sections Identification in Scientific Research Publications -- Knowledge Inference Through Analysis of Human Activities -- Representation Learning of Knowledge Graphs with Multi-scale Capsule Network -- CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning -- A Multimodal Approach to Image Sentiment Analysis -- Joining Items Clustering and Users Clustering for Evidential Collaborative Filtering -- Conditioned Generative Model via Latent Semantic Controlling for Learning Deep Representation of Data -- Toward A Framework for Seasonal Time Series Forecasting Using Clustering -- An Evidential Imprecise Answer Aggregation Approach based on Worker Clustering -- Combining Machine Learning and Classical Optimization Techniques in Vehicle to Vehicle Communication Network -- Adversarial Edit Attacks for Tree Data -- Non-stationary Noise Cancellation Using Deep Autoencoder based on Adversarial Learning -- A Deep Learning-based Surface Defect Inspection System for Smartphone Glass -- Superlinear Speedup of Parallel Population-based Metaheuristics: A Microservices and Container Virtualization Approach -- Active Dataset Generation for Meta-Learning System Quality Improvement -- Do You Really Follow Them? Automatic Detection of Credulous Twitter Users -- User Localization Based on Call Detail Record -- Automatic Ground Truth Dataset Creation for Fake News Detection in Social Media -- Artificial Flora Optimization Algorithm for Task Scheduling in Cloud Computing Environment -- A Significantly Faster Elastic-Ensemble for Time-Series Classification -- ALIME: Autoencoder Based Approach for Local Interpretability -- Detection of Abnormal Load Consumption in the Power Grid Using Clustering and Statistical Analysis -- Deep Convolutional Neural Networks Based on Image Data Augmentation for Visual Object Recognition -- An Efficient Scheme for Prototyping kNN in the Context of Real-Time Human Activity Recognition -- A Novel Recommendation System for Next Feature in Software -- Meta-learning Based Evolutionary Clustering Algorithm -- Fast tree-based classification via homogeneous clustering -- Ordinal equivalence classes for parallel coordinates -- New Internal Clustering Evaluation Index Based on Line Segments -- Threat Identification in Humanitarian Demining using Machine Learning and Spectroscopic Metal Detection. |
| Record Nr. | UNINA-9910357852803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2019 [[electronic resource] ] : 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II / / edited by Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger
| Intelligent Data Engineering and Automated Learning – IDEAL 2019 [[electronic resource] ] : 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II / / edited by Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXI, 364 p. 115 illus., 86 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Education—Data processing Computers Application software Computer organization Artificial intelligence Data Mining and Knowledge Discovery Computers and Education Theory of Computation Computer Applications Computer Systems Organization and Communication Networks Artificial Intelligence |
| ISBN | 3-030-33617-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Special Session on Fuzzy Systems and Intelligent Data Analysis -- Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences -- Unsupervised Initialization of Archetypal Analysis and Proportional Membership Fuzzy Clustering -- Special Session on Machine Learning towards Smarter Multimodal Systems -- Multimodal Web Based Video Annotator with Real-Time Human Pose Estimation -- New Interfaces for Classifying Performance Gestures in Music -- Special Session on Data Selection in Machine Learning -- Classifying Ransomware Using Machine Learning Algorithms -- Artificial Neural Networks in Mathematical Mini-Games for Automatic Students Learning Styles Identification: A First Approach -- The Use of Unified Activity Records to Predict Requests Made by Applications for External Services -- Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders -- Multitemporal Aerial Image Registration Using Semantic Features -- Special Session on Machine Learning in Healthcare -- Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine -- Modelling survival by machine learning methods in liver transplantation: application to the UNOS dataset -- Design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images -- Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis -- A Clustering-Based Patient Grouper for Burn Care -- A comparative assessment of Feed-Forward and Convolutional Neural Networks for the classification of prostate lesions -- Special Session on Machine Learning in Automatic Control -- A Method based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI -- Safe Deep Neural Network-driven Autonomous Vehicles Using Software Safety Cages -- Wave and viscous resistance estimation by NN -- Neural controller of UAVs with inertia variations -- Special Session on Finance and Data Mining -- A Metric Framework for quantifying Data Concentration -- Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators -- Special Session on Knowledge Discovery from Data -- Exploiting Online Newspaper Articles Metadata for Profiling City Areas -- Modelling the Social Interactions in Ant Colony Optimization -- An Innovative Deep-Learning Algorithm for Supporting the Approximate Classication of Workloads in Big Data Environments -- Control-flow Business Process Summarization via Activity Contraction -- Classifying Flies Based on Reconstructed Audio Signals -- Studying the Evolution of the ‘Circular Economy’ Concept using Topic Modelling -- Mining Frequent Distributions in Time Series -- Time Series Display for Knowledge Discovery on Selective Laser Melting Machines -- Special Session on Machine Learning Algorithms for Hard Problems -- Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy -- SMOTE Algorithm Variations in Balancing Data Streams -- Multi-Class Text Complexity Evaluation via Deep Neural Networks -- Imbalance reduction techniques applied to ECG classification problem -- Machine Learning Methods for Fake News Classification -- A genetic-based ensemble learning applied to imbalanced data classification -- The feasibility of deep learning use for adversarial model extraction in the cybersecurity domain. |
| Record Nr. | UNISA-996466305303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2019 [[electronic resource] ] : 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I / / edited by Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger
| Intelligent Data Engineering and Automated Learning – IDEAL 2019 [[electronic resource] ] : 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I / / edited by Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXII, 554 p. 213 illus., 141 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Education—Data processing Computers Application software Computer organization Artificial intelligence Data Mining and Knowledge Discovery Computers and Education Theory of Computation Computer Applications Computer Systems Organization and Communication Networks Artificial Intelligence |
| ISBN | 3-030-33607-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Orchids Classification Using Spatial Transformer Network with Adaptive Scaling -- Scalable Dictionary Classifiers for Time Series Classification -- Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm -- Meaningful Data Sampling for a Faithful Local Explanation Method -- Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor -- Adaptive Orthogonal Characteristics of Bio-inspired Neural Networks -- Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion -- Modeling Data Driven Interactions on Property Graph -- Adaptive Dimensionality Adjustment for Online "Principal Component Analysis" -- Relevance Metric for Counterfactuals Selection in Decision Trees -- Weighted Nearest Centroid Neighbourhood -- The Prevalence of Errors in Machine Learning Experiments -- A Hybrid Model for Fraud Detection on Purchase Orders -- Users Intention based on Twitter Features using Text Analytics -- Mixing hetero- and homogeneous models in weighted ensembles -- A Hybrid Approach to Time Series Classification with Shapelets -- An Ensemble Algorithm Based on Deep Learning for Tuberculosis Classification -- A Data-driven Approach to Automatic Extraction of Professional Figure Profiles from Résumés -- Retrieving and Processing Information from Clinical Algorithm via Formal Concept Analysis -- Comparative Analysis of Approaches to Building Medical Dialog Systems in Russian -- Tracking Position and Status of Electric Control Switches Based on YOLO Detector -- A Self-Generating Prototype method based on Information Entropy used for Condensing Data in Classification Tasks -- Transfer Knowledge between Sub-regions for Traffic Prediction using Deep Learning Method -- Global Q-Learning Approach for Power Allocation in Femtocell Networks -- Deep learning and Sensor Fusion Methods for Studying Gait Changes under Cognitive Load in Males and Females -- Towards a robotic personal trainer for the elderly -- Image Quality Constrained GAN for Super-Resolution -- Use Case Prediction using Product Reviews Text Classification -- Convolutional Neural Network for Core Sections Identification in Scientific Research Publications -- Knowledge Inference Through Analysis of Human Activities -- Representation Learning of Knowledge Graphs with Multi-scale Capsule Network -- CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning -- A Multimodal Approach to Image Sentiment Analysis -- Joining Items Clustering and Users Clustering for Evidential Collaborative Filtering -- Conditioned Generative Model via Latent Semantic Controlling for Learning Deep Representation of Data -- Toward A Framework for Seasonal Time Series Forecasting Using Clustering -- An Evidential Imprecise Answer Aggregation Approach based on Worker Clustering -- Combining Machine Learning and Classical Optimization Techniques in Vehicle to Vehicle Communication Network -- Adversarial Edit Attacks for Tree Data -- Non-stationary Noise Cancellation Using Deep Autoencoder based on Adversarial Learning -- A Deep Learning-based Surface Defect Inspection System for Smartphone Glass -- Superlinear Speedup of Parallel Population-based Metaheuristics: A Microservices and Container Virtualization Approach -- Active Dataset Generation for Meta-Learning System Quality Improvement -- Do You Really Follow Them? Automatic Detection of Credulous Twitter Users -- User Localization Based on Call Detail Record -- Automatic Ground Truth Dataset Creation for Fake News Detection in Social Media -- Artificial Flora Optimization Algorithm for Task Scheduling in Cloud Computing Environment -- A Significantly Faster Elastic-Ensemble for Time-Series Classification -- ALIME: Autoencoder Based Approach for Local Interpretability -- Detection of Abnormal Load Consumption in the Power Grid Using Clustering and Statistical Analysis -- Deep Convolutional Neural Networks Based on Image Data Augmentation for Visual Object Recognition -- An Efficient Scheme for Prototyping kNN in the Context of Real-Time Human Activity Recognition -- A Novel Recommendation System for Next Feature in Software -- Meta-learning Based Evolutionary Clustering Algorithm -- Fast tree-based classification via homogeneous clustering -- Ordinal equivalence classes for parallel coordinates -- New Internal Clustering Evaluation Index Based on Line Segments -- Threat Identification in Humanitarian Demining using Machine Learning and Spectroscopic Metal Detection. |
| Record Nr. | UNISA-996466304103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2023 [[electronic resource] ] : 24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings / / edited by Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julian, Antonio J. Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2023 [[electronic resource] ] : 24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings / / edited by Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julian, Antonio J. Tallón-Ballesteros |
| Autore | Quaresma Paulo |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (561 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
CamachoDavid
YinHujun GonçalvesTeresa JulianVicente Tallón-BallesterosAntonio J |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Software engineering Education - Data processing Computer vision Data Mining and Knowledge Discovery Machine Learning Software Engineering Computers and Education Computer Vision |
| ISBN | 3-031-48232-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Main Track: Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing -- Complexity-driven sampling for Bagging -- A pseudo-label guided hybrid approach for unsupervised domain adaptation⋆ -- Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification -- Plant Disease Detection and Classification using a Deep learning-based framework -- Evaluating Text Classification in the Legal Domain Using BERT Embeddings -- Rapid and Low-Cost Evaluation of Multi-Fidelity Scheduling Algorithms for Hyperparameter Optimization -- The Applicability of Federated Learning to Official Statistics -- Generating Wildfire Heat Maps with Twitter and BERT -- An urban simulator integrated with a genetic algorithm for efficient traffic light coordination -- GPU-Based Acceleration of the Rao Optimization Algorithms: Application to the Solution of Large Systems of Nonlinear Equations -- Direct determination of Operational Value-at-Risk using Descriptive Statistics -- Using Deep Learning models to Predict the Electrical Conductivity of the influent in a Wastewater Treatment Plant. -Unsupervised Defect Detection for Infrastructure Inspection -- Generating Adversarial Examples using LAD -- Emotion extraction from Likert-Scale questionnaires – an additional dimension to Psychology Instruments -- Recent applications of pre-aggregation functions -- A Probabilistic Approach: Querying Web Resources In The Presence Of Uncertainty -- Domain Adaptation in Transformer models: Question Answering of Dutch Government Policies -- Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery -- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks -- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks -- Language Models for Automatic Distribution of Review Notes in Movie Production -- Extracting Knowledge from Incompletely Known Models -- Threshold-based Classification to Enhance Confidence in Open Set of Legal Texts -- Comparing ranking learning algorithms for information retrieval systems -- Analyzing the influence of market event correction for forecasting stock prices using Recurrent Neural Networks -- Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist community⋆ -- Uniform Design of Experiments for Equality Constraints -- Globular Cluster Detection in M33 Using Multiple Views Representation Learning -- Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model -- Unsupervised Online Event Ranking for IT Operations⋆ -- A Subgraph Embedded GIN with Attention for Graph Classification -- A Machine Learning Approach to Predict Cyclists’ Functional Threshold Power -- Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification -- MODELING THE INK TUNING PROCESS USING MACHINE LEARNING -- Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts* -- FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification -- Enhanced SVM-SMOTE with Cluster Consistency for Imbalanced Data Classification -- Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data. -- Efficient Model For Probabilistic Web resources under uncertainty -- Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning -- Machine Learning for Time Series Forecasting Using State Space Models -- Causal graph discovery for explainable insights on marine biotoxin shellfish contamination -- Special Session on Federated Learning and (pre) Aggregation in Machine Learning: Adaptative fuzzy measure for edge detection -- Special Session on Intelligent Techniques for Real-world Applications of Renewable Energy and Green Transport: Prediction and Uncertainty Estimation in Power Curves of Wind Turbines Using ε-SVR -- Glide Ratio Optimization for Wind Turbine Airfoils based on Genetic Algorithms -- Special Session on Data Selection in Machine Learning: Detecting Image Forgery Using Support Vector Machine and Texture Features -- Instance selection techniques for large volumes of data. |
| Record Nr. | UNISA-996565868903316 |
Quaresma Paulo
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2023 [[electronic resource] ] : 24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings / / edited by Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julian, Antonio J. Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2023 [[electronic resource] ] : 24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings / / edited by Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julian, Antonio J. Tallón-Ballesteros |
| Autore | Quaresma Paulo |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (561 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
CamachoDavid
YinHujun GonçalvesTeresa JulianVicente Tallón-BallesterosAntonio J |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Software engineering Education - Data processing Computer vision Data Mining and Knowledge Discovery Machine Learning Software Engineering Computers and Education Computer Vision |
| ISBN | 3-031-48232-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Main Track: Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing -- Complexity-driven sampling for Bagging -- A pseudo-label guided hybrid approach for unsupervised domain adaptation⋆ -- Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification -- Plant Disease Detection and Classification using a Deep learning-based framework -- Evaluating Text Classification in the Legal Domain Using BERT Embeddings -- Rapid and Low-Cost Evaluation of Multi-Fidelity Scheduling Algorithms for Hyperparameter Optimization -- The Applicability of Federated Learning to Official Statistics -- Generating Wildfire Heat Maps with Twitter and BERT -- An urban simulator integrated with a genetic algorithm for efficient traffic light coordination -- GPU-Based Acceleration of the Rao Optimization Algorithms: Application to the Solution of Large Systems of Nonlinear Equations -- Direct determination of Operational Value-at-Risk using Descriptive Statistics -- Using Deep Learning models to Predict the Electrical Conductivity of the influent in a Wastewater Treatment Plant. -Unsupervised Defect Detection for Infrastructure Inspection -- Generating Adversarial Examples using LAD -- Emotion extraction from Likert-Scale questionnaires – an additional dimension to Psychology Instruments -- Recent applications of pre-aggregation functions -- A Probabilistic Approach: Querying Web Resources In The Presence Of Uncertainty -- Domain Adaptation in Transformer models: Question Answering of Dutch Government Policies -- Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery -- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks -- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks -- Language Models for Automatic Distribution of Review Notes in Movie Production -- Extracting Knowledge from Incompletely Known Models -- Threshold-based Classification to Enhance Confidence in Open Set of Legal Texts -- Comparing ranking learning algorithms for information retrieval systems -- Analyzing the influence of market event correction for forecasting stock prices using Recurrent Neural Networks -- Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist community⋆ -- Uniform Design of Experiments for Equality Constraints -- Globular Cluster Detection in M33 Using Multiple Views Representation Learning -- Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model -- Unsupervised Online Event Ranking for IT Operations⋆ -- A Subgraph Embedded GIN with Attention for Graph Classification -- A Machine Learning Approach to Predict Cyclists’ Functional Threshold Power -- Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification -- MODELING THE INK TUNING PROCESS USING MACHINE LEARNING -- Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts* -- FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification -- Enhanced SVM-SMOTE with Cluster Consistency for Imbalanced Data Classification -- Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data. -- Efficient Model For Probabilistic Web resources under uncertainty -- Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning -- Machine Learning for Time Series Forecasting Using State Space Models -- Causal graph discovery for explainable insights on marine biotoxin shellfish contamination -- Special Session on Federated Learning and (pre) Aggregation in Machine Learning: Adaptative fuzzy measure for edge detection -- Special Session on Intelligent Techniques for Real-world Applications of Renewable Energy and Green Transport: Prediction and Uncertainty Estimation in Power Curves of Wind Turbines Using ε-SVR -- Glide Ratio Optimization for Wind Turbine Airfoils based on Genetic Algorithms -- Special Session on Data Selection in Machine Learning: Detecting Image Forgery Using Support Vector Machine and Texture Features -- Instance selection techniques for large volumes of data. |
| Record Nr. | UNINA-9910765481303321 |
|
Quaresma Paulo
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Distributed Computing IX [[electronic resource] ] : Proceedings of the 9th International Symposium on Intelligent Distributed Computing – IDC'2015, Guimarães, Portugal, October 2015 / / edited by Paulo Novais, David Camacho, Cesar Analide, Amal El Fallah Seghrouchni, Costin Badica
| Intelligent Distributed Computing IX [[electronic resource] ] : Proceedings of the 9th International Symposium on Intelligent Distributed Computing – IDC'2015, Guimarães, Portugal, October 2015 / / edited by Paulo Novais, David Camacho, Cesar Analide, Amal El Fallah Seghrouchni, Costin Badica |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVIII, 521 p. 171 illus., 57 illus. in color.) |
| Disciplina | 004.36 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Application software Computational Intelligence Artificial Intelligence Information Systems Applications (incl. Internet) |
| ISBN | 3-319-25017-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910254185703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Distributed Computing VIII [[electronic resource] /] / edited by David Camacho, Lars Braubach, Salvatore Venticinque, Costin Badica
| Intelligent Distributed Computing VIII [[electronic resource] /] / edited by David Camacho, Lars Braubach, Salvatore Venticinque, Costin Badica |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVIII, 476 p. 130 illus., 4 illus. in color.) |
| Disciplina | 004.36 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Application software Computational Intelligence Artificial Intelligence Information Systems Applications (incl. Internet) |
| ISBN | 3-319-10422-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Affective Computing -- Agents -- Bio-Inspired Computing -- Cloud and Grid Computing -- Clustering and Classification -- Linked, Open and Big Data -- Machine Learning -- P2P, Self-Organized and Ubiquitous Systems -- Parallel Computing -- Social Computing -- MASTS’2014 Papers -- WSRL’2014 Papers. |
| Record Nr. | UNINA-9910299663603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Distributed Computing X [[electronic resource] ] : Proceedings of the 10th International Symposium on Intelligent Distributed Computing – IDC 2016, Paris, France, October 10-12 2016 / / edited by Costin Badica, Amal El Fallah Seghrouchni, Aurélie Beynier, David Camacho, Cédric Herpson, Koen Hindriks, Paulo Novais
| Intelligent Distributed Computing X [[electronic resource] ] : Proceedings of the 10th International Symposium on Intelligent Distributed Computing – IDC 2016, Paris, France, October 10-12 2016 / / edited by Costin Badica, Amal El Fallah Seghrouchni, Aurélie Beynier, David Camacho, Cédric Herpson, Koen Hindriks, Paulo Novais |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIII, 248 p. 68 illus.) |
| Disciplina | 004.36 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Data mining Computational Intelligence Artificial Intelligence Data Mining and Knowledge Discovery |
| ISBN | 3-319-48829-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Adaptive Scaling Up/Down for Elastic Clouds.-A Dynamic Model to enhance the Distributed Discovery of SWs in P2P Overlay Networks -- Simulation of Dynamic Systems Using BDI Agents: Initial Steps.-A Multi-Agent Middleware for the Deployment of Distributed Applications in Smart Environments -- A Guidance of Ambient Agents Adapted to Opportunistic Situations Extended Context Patterns – A Visual Language for Context-Aware Applications.-MDE4IoT: Supporting the Internet of Things with Model-Driven Engineering.-Detection of traffic anomalies in multi-service networks based on a fuzzy logical inference.-Reconfiguration of RBAC schemes by genetic algorithms.-String-based Malware Detection for Android Environments -- Optimal Configuration Model of a Fleet of Unmanned Vehicles for Interoperable Missions .-Spatial Tuples: Augmenting Physical Reality with Tuple Spaces -- Exploring unknown environments with multi-modal locomotion swarm -- Group Trust: Finding Trust-based Group Structures in Social Communities -- Non-intrusive Monitoring of Attentional Behavior in Teams -- A Speculative Computation Approach for Conflict Styles Assessment with Incomplete Information -- Forming Classes in an e-Learning Social Network Scenario.-Scheduling Optimization in Grid with VO Stakeholders’ Preferences -- On the Application of Bio-inspired Heuristics for Network Routing with Multiple QoS Constraints.-Dealing with the Best Attachment Problem via Heuristics.-Towards Collaborative Sensing using Dynamic Intelligent Virtual Sensors .-Intelligent Data Metrics for Urban Driving with Data Fusion and Distributed Machine Learning.-A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept.-Author Index. . |
| Record Nr. | UNINA-9910254357303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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