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Distributed Computing and Artificial Intelligence, 20th International Conference / / edited by Sascha Ossowski, Pawel Sitek, Cesar Analide, Goreti Marreiros, Pablo Chamoso, Sara Rodríguez
| Distributed Computing and Artificial Intelligence, 20th International Conference / / edited by Sascha Ossowski, Pawel Sitek, Cesar Analide, Goreti Marreiros, Pablo Chamoso, Sara Rodríguez |
| Autore | Ossowski Sascha |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (387 pages) |
| Disciplina | 004.36 |
| Altri autori (Persone) |
SitekPawel
AnalideCesar MarreirosGoreti ChamosoPablo RodríguezSara |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-031-38333-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Time-Series Modeling for Intrusion Detection Systems -- Estimation of occlusion region using image completion by network model consisting of Transformer and U-Net -- Operation of a Genetic Algorithm Using an Adjustment Function -- CUBA: An Evolutionary Consortium Oriented Distributed Ledger Byzantine Consensus Algorithm -- From Data to Action: Exploring AI and IoT-driven Solutions for Smarter Cities -- Adaptive Learning from Peers for Distributed Actor-Critic Algorithms -- Detection of infostealer variants through graph neural networks. |
| Record Nr. | UNINA-9910735783303321 |
Ossowski Sascha
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent data engineering and automated learning - IDEAL 2020 . Part 2. : 21th international conference, Guimaraes, Portugal, November 4-6, 2020, proceedings / / Cesar Analide [and three others] (editors)
| Intelligent data engineering and automated learning - IDEAL 2020 . Part 2. : 21th international conference, Guimaraes, Portugal, November 4-6, 2020, proceedings / / Cesar Analide [and three others] (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XXV, 624 p. 193 illus., 161 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture notes in computer science |
| Soggetto topico | Data mining |
| ISBN | 3-030-62365-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Special Session on Data Generation and Data Pre-processing in Machine Learning -- A Preprocessing Approach for Class-imbalanced Data using SMOTE and Belief Function Theory -- Multi-Agent Based Manifold Denoising -- A Novel Evaluation Metric for Synthetic Data Generation -- Data Pre-processing and Data Generation in the Student Flow Case Study -- Enhanced Credit Prediction using Artificial Data -- Data Generation Using Gene Expression Generator -- Stabilisation of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection -- Special Session on Optimization and Machine Learning for Industry 4.0 -- Distributed Coordination of Heterogeneous Robotic Swarms using Stochastic Diffusion Search -- An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments -- Unified Performance Measure for Binary Classification Problems -- Data Augmentation for Industrial Prognosis using Generative Adversarial Networks -- A Comparison of Evolutionary Multi-Objective Optimization Algorithms Applied to Antenna Design -- Special Session on Practical Applications of Deep Learning -- Cloud Type Identification Using Data Fusion and Ensemble Learning -- Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports -- Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images -- Video Semantics Quality Assessment using Deep Learning -- A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines -- Predicting Recurring Telecommunications Customer Support Problems using Deep Learning -- Pre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: A Case Study -- On Analysing Similarity Knowledge Transfer by Ensembles -- Special Session on New trends and challenges on Social Networks Analysis -- Social Network Recommender System, a Neural Network Approach -- Exploring Multi-objective Cellular Genetic Algorithms in Community Detection Problems -- Special Session on Machine Learning in Automatic Control -- Under-Actuation Modelling in Robotic Hands via Neural Networks for Sign Language Representation with End-User Validation -- Exploratory Data Analysis of Wind and Waves for Floating Wind Turbines in Santa María, California -- Wind Turbine Pitch Control First Approach based on Reinforcement Learning -- Intelligent Fuzzy Optimized Control for Energy Extraction in Large Wind Turbines -- Special Session on Emerging Trends in Machine Learning -- Autoencoder Latent Space Influence on IoT MQTT Attack Classification -- A Recommendation System of Nutrition and Physical Activity for Patients with Type 2 Diabetes Mellitus -- A Comparative Analysis between Crisp and Fuzzy Data Clustering Approaches for Traditional and Bioinspired Algorithms -- Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-like Ethics -- Anticipating Maintenance in Telecom Installation Processes -- Meta-Hyperband: Hyperparameter Optimization with Meta-Learning and Coarse-to-Fine -- Stateful Optimization in Federated Learning of Neural Networks -- Talking in Italian about AI with a Chatbot: a Prototype of a Question-Answering Agent -- Review of Trends in Automatic Human Activity Recognition in Vehicle based in Synthetic Data -- Special Session on Machine Learning, Law and Legal Industry -- Intellectual Properties of Artificial Creativity: Dismantling Originality in European’s Legal Framework -- Network Analysis for Fraud Detection in Portuguese Public Procurement -- Biased Language Detection in Court Decisions -- Special Session on Machine Learning Algorithms for Hard Problems -- A One-by-One Method for Community Detection in Attributed Networks -- A Hybrid Approach to the Analysis of a Collection of Research Papers -- Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images -- Special Session on Automated learning for industrial applications -- Time Series Clustering for Knowledge Discovery on Metal Additive Manufacturing -- Quaternion Neural Networks: State-of-the-art and Research Challenges -- A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes -- A Fault Detection System for Power Cells During Capacity Confirmation Test Through a Global One-Class Classifier -- A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects -- Improving Performance of Recommendation System Architecture -- Automated Learning of In-vehicle Noise Representation with Triplet-loss Embedded Convolutional Beamforming Network -- Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces -- Deep Learning Based Algorithms for Welding Edge Points Detection -- Detecting Performance Anomalies in the Multi-Component Software a Collaborative Robot -- Prediction of Small-Wind Turbine Performance from Time Series Modelling using Intelligent Techniques -- Review of Trends in Automatic Human Activity Recognition using Synthetic Audio-Visual Data -- Atmospheric Tomography using Convolutional Neural Networks -- Workshop on Machine Learning in Smart Mobility -- Driver Monitoring System Based on CNN Models: An Approach for Attention Level Detection -- Road Patterns Identification and Risk Analysis based on Machine Learning framework: Powered Two-Wheelers Case -- Towards Predicting Pedestrian Paths: Identifying Surroundings from Monocular Video -- A Semi-automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem -- Using Deep Learning to Construct a Real-Time Road Safety Model; Modelling the Personal Attributes for Cyclist. |
| Record Nr. | UNINA-9910427677203321 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent data engineering and automated learning - IDEAL 2020 . Part 2. : 21th international conference, Guimaraes, Portugal, November 4-6, 2020, proceedings / / Cesar Analide [and three others] (editors)
| Intelligent data engineering and automated learning - IDEAL 2020 . Part 2. : 21th international conference, Guimaraes, Portugal, November 4-6, 2020, proceedings / / Cesar Analide [and three others] (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XXV, 624 p. 193 illus., 161 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture notes in computer science |
| Soggetto topico | Data mining |
| ISBN | 3-030-62365-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Special Session on Data Generation and Data Pre-processing in Machine Learning -- A Preprocessing Approach for Class-imbalanced Data using SMOTE and Belief Function Theory -- Multi-Agent Based Manifold Denoising -- A Novel Evaluation Metric for Synthetic Data Generation -- Data Pre-processing and Data Generation in the Student Flow Case Study -- Enhanced Credit Prediction using Artificial Data -- Data Generation Using Gene Expression Generator -- Stabilisation of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection -- Special Session on Optimization and Machine Learning for Industry 4.0 -- Distributed Coordination of Heterogeneous Robotic Swarms using Stochastic Diffusion Search -- An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments -- Unified Performance Measure for Binary Classification Problems -- Data Augmentation for Industrial Prognosis using Generative Adversarial Networks -- A Comparison of Evolutionary Multi-Objective Optimization Algorithms Applied to Antenna Design -- Special Session on Practical Applications of Deep Learning -- Cloud Type Identification Using Data Fusion and Ensemble Learning -- Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports -- Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images -- Video Semantics Quality Assessment using Deep Learning -- A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines -- Predicting Recurring Telecommunications Customer Support Problems using Deep Learning -- Pre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: A Case Study -- On Analysing Similarity Knowledge Transfer by Ensembles -- Special Session on New trends and challenges on Social Networks Analysis -- Social Network Recommender System, a Neural Network Approach -- Exploring Multi-objective Cellular Genetic Algorithms in Community Detection Problems -- Special Session on Machine Learning in Automatic Control -- Under-Actuation Modelling in Robotic Hands via Neural Networks for Sign Language Representation with End-User Validation -- Exploratory Data Analysis of Wind and Waves for Floating Wind Turbines in Santa María, California -- Wind Turbine Pitch Control First Approach based on Reinforcement Learning -- Intelligent Fuzzy Optimized Control for Energy Extraction in Large Wind Turbines -- Special Session on Emerging Trends in Machine Learning -- Autoencoder Latent Space Influence on IoT MQTT Attack Classification -- A Recommendation System of Nutrition and Physical Activity for Patients with Type 2 Diabetes Mellitus -- A Comparative Analysis between Crisp and Fuzzy Data Clustering Approaches for Traditional and Bioinspired Algorithms -- Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-like Ethics -- Anticipating Maintenance in Telecom Installation Processes -- Meta-Hyperband: Hyperparameter Optimization with Meta-Learning and Coarse-to-Fine -- Stateful Optimization in Federated Learning of Neural Networks -- Talking in Italian about AI with a Chatbot: a Prototype of a Question-Answering Agent -- Review of Trends in Automatic Human Activity Recognition in Vehicle based in Synthetic Data -- Special Session on Machine Learning, Law and Legal Industry -- Intellectual Properties of Artificial Creativity: Dismantling Originality in European’s Legal Framework -- Network Analysis for Fraud Detection in Portuguese Public Procurement -- Biased Language Detection in Court Decisions -- Special Session on Machine Learning Algorithms for Hard Problems -- A One-by-One Method for Community Detection in Attributed Networks -- A Hybrid Approach to the Analysis of a Collection of Research Papers -- Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images -- Special Session on Automated learning for industrial applications -- Time Series Clustering for Knowledge Discovery on Metal Additive Manufacturing -- Quaternion Neural Networks: State-of-the-art and Research Challenges -- A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes -- A Fault Detection System for Power Cells During Capacity Confirmation Test Through a Global One-Class Classifier -- A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects -- Improving Performance of Recommendation System Architecture -- Automated Learning of In-vehicle Noise Representation with Triplet-loss Embedded Convolutional Beamforming Network -- Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces -- Deep Learning Based Algorithms for Welding Edge Points Detection -- Detecting Performance Anomalies in the Multi-Component Software a Collaborative Robot -- Prediction of Small-Wind Turbine Performance from Time Series Modelling using Intelligent Techniques -- Review of Trends in Automatic Human Activity Recognition using Synthetic Audio-Visual Data -- Atmospheric Tomography using Convolutional Neural Networks -- Workshop on Machine Learning in Smart Mobility -- Driver Monitoring System Based on CNN Models: An Approach for Attention Level Detection -- Road Patterns Identification and Risk Analysis based on Machine Learning framework: Powered Two-Wheelers Case -- Towards Predicting Pedestrian Paths: Identifying Surroundings from Monocular Video -- A Semi-automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem -- Using Deep Learning to Construct a Real-Time Road Safety Model; Modelling the Personal Attributes for Cyclist. |
| Record Nr. | UNISA-996418216503316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent data engineering and automated learning-IDEAL 2020 : 21th international conference, Guimaraes, Portugal, November 4-6, 2020 : proceedings Part 1 / / Cesar Analide [and three others] (editors)
| Intelligent data engineering and automated learning-IDEAL 2020 : 21th international conference, Guimaraes, Portugal, November 4-6, 2020 : proceedings Part 1 / / Cesar Analide [and three others] (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XXV, 400 p. 133 illus., 92 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Artificial intelligence |
| ISBN | 3-030-62362-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Prostate Gland Segmentation in Histology Images via Residual and Multi-Resolution U-Net -- Evaluation of Machine Learning Algorithms for Automated Management of Wireless Links -- Imputation of Missing Boarding Stop Information in Smart Card Data with Machine Learning Methods -- HEAT: Hyperbolic Embedding of Attributed Networks -- Least Squares Approach for Multivariate Split Selection in Regression Trees -- A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes -- A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks -- Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification -- LSI Based Mechanism for Educational Videos Retrieval by Transcripts Processing -- Visualization of Numerical Association Rules by Hill Slopes -- Adaptation and Anxiety Assessment in Undergraduate Nursing Students -- Text Similarity between Concepts Extracted from Source Code and Documentation -- Using Kullback-Leibler Divergence to Identify Prominent Sensor Data for Fault Diagnosis -- An Analysis of Protein Patterns Present in the Saliva of Diabetic Patients using Pairwise Relationship and Hierarchical Clustering -- Improving Adversarial Learning with Image Quality Measures for Image Deblurring -- On Random-Forest-Based Prediction Intervals.-A Machine Learning Approach to Forecast the Safest Period for Outdoor Sports.-One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition -- Integrating a Data Mining Engine into Recommender Systems -- Free-Floating Carsharing in SimFleet -- Fatigue Detection in Strength Exercises for Older People -- Trading Cryptocurrency with Deep Deterministic Policy Gradients -- TMSA: Participatory Sensing Based on Mobile Phones in Urban Spaces -- A Slimmer and Deeper Approach to Network Structures for Image Denoising and Dehazing -- PC-OPT: A SfM Point Cloud Denoising Algorithm -- GELAB and Hybrid Optimization Using Grammatical Evolution -- Distribution-wise Symbolic Aggregate approXimation (dwSAX) -- Intelligent Call Routing for Telecommunications Call-Centers.-Entropy Based Grey Wolf Optimizer -- Mapping a Clinical Case Description to an Argumentation Framework: a Preliminary Assessment -- Learning User Comfort and Well-being through Smart Devices -- A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants -- Automatic Multispectral Image Classification of Plant Virus from Leaf Samples -- Towards the Modeling of the Hot Rolling Industrial Process. Preliminary Results. |
| Record Nr. | UNINA-9910427677303321 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent data engineering and automated learning-IDEAL 2020 : 21th international conference, Guimaraes, Portugal, November 4-6, 2020 : proceedings Part 1 / / Cesar Analide [and three others] (editors)
| Intelligent data engineering and automated learning-IDEAL 2020 : 21th international conference, Guimaraes, Portugal, November 4-6, 2020 : proceedings Part 1 / / Cesar Analide [and three others] (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XXV, 400 p. 133 illus., 92 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Artificial intelligence |
| ISBN | 3-030-62362-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Prostate Gland Segmentation in Histology Images via Residual and Multi-Resolution U-Net -- Evaluation of Machine Learning Algorithms for Automated Management of Wireless Links -- Imputation of Missing Boarding Stop Information in Smart Card Data with Machine Learning Methods -- HEAT: Hyperbolic Embedding of Attributed Networks -- Least Squares Approach for Multivariate Split Selection in Regression Trees -- A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes -- A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks -- Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification -- LSI Based Mechanism for Educational Videos Retrieval by Transcripts Processing -- Visualization of Numerical Association Rules by Hill Slopes -- Adaptation and Anxiety Assessment in Undergraduate Nursing Students -- Text Similarity between Concepts Extracted from Source Code and Documentation -- Using Kullback-Leibler Divergence to Identify Prominent Sensor Data for Fault Diagnosis -- An Analysis of Protein Patterns Present in the Saliva of Diabetic Patients using Pairwise Relationship and Hierarchical Clustering -- Improving Adversarial Learning with Image Quality Measures for Image Deblurring -- On Random-Forest-Based Prediction Intervals.-A Machine Learning Approach to Forecast the Safest Period for Outdoor Sports.-One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition -- Integrating a Data Mining Engine into Recommender Systems -- Free-Floating Carsharing in SimFleet -- Fatigue Detection in Strength Exercises for Older People -- Trading Cryptocurrency with Deep Deterministic Policy Gradients -- TMSA: Participatory Sensing Based on Mobile Phones in Urban Spaces -- A Slimmer and Deeper Approach to Network Structures for Image Denoising and Dehazing -- PC-OPT: A SfM Point Cloud Denoising Algorithm -- GELAB and Hybrid Optimization Using Grammatical Evolution -- Distribution-wise Symbolic Aggregate approXimation (dwSAX) -- Intelligent Call Routing for Telecommunications Call-Centers.-Entropy Based Grey Wolf Optimizer -- Mapping a Clinical Case Description to an Argumentation Framework: a Preliminary Assessment -- Learning User Comfort and Well-being through Smart Devices -- A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants -- Automatic Multispectral Image Classification of Plant Virus from Leaf Samples -- Towards the Modeling of the Hot Rolling Industrial Process. Preliminary Results. |
| Record Nr. | UNISA-996418217003316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Distributed Computing IX : 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 : 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 | ||
| ||