Data Management Technologies and Applications [[electronic resource] ] : 10th International Conference, DATA 2021, Virtual Event, July 6–8, 2021, and 11th International Conference, DATA 2022, Lisbon, Portugal, July 11-13, 2022, Revised Selected Papers / / edited by Alfredo Cuzzocrea, Oleg Gusikhin, Slimane Hammoudi, Christoph Quix |
Autore | Cuzzocrea Alfredo |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (256 pages) |
Disciplina | 005.7 |
Altri autori (Persone) |
GusikhinOleg
HammoudiSlimane QuixChristoph |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Database management
Application software Education—Data processing Social sciences—Data processing Computers, Special purpose Microprogramming Database Management Computer and Information Systems Applications Computers and Education Computer Application in Social and Behavioral Sciences Special Purpose and Application-Based Systems Control Structures and Microprogramming |
ISBN | 3-031-37890-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Papers -- A Survey-based Evaluation of the Data Engineering Maturity in Practice -- Automating Data Quality Monitoring with Reference Data Profiles -- Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews -- SubTempora: A Hybrid Approach for Optimising Subgraph Searching -- Exploring Instagram and Youtube Data to Extract User Insights: The Greek Paradigm -- Automatic Detection of Facial Landmarks for Denture Models -- Combining Image and Text Matching for Product Classification in Retail -- Automatic Sentiment Labelling of Multimodal Data -- From Cracked Accounts to Fake IDs: User Profiling on German Telegram Black Market Channels -- Data Mining and Machine Learning to Predict the Sulphur Content in the Hot Metal of a Coke-Fired Blast Furnace -- Automatic Instructional Feedback, and a Lecture Hub System: A Strategy towards Nurturing the Acquisition of a Structured Engagement Behavior. |
Record Nr. | UNISA-996546838203316 |
Cuzzocrea Alfredo
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Data Management Technologies and Applications : 10th International Conference, DATA 2021, Virtual Event, July 6–8, 2021, and 11th International Conference, DATA 2022, Lisbon, Portugal, July 11-13, 2022, Revised Selected Papers / / edited by Alfredo Cuzzocrea, Oleg Gusikhin, Slimane Hammoudi, Christoph Quix |
Autore | Cuzzocrea Alfredo |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (256 pages) |
Disciplina | 005.7 |
Altri autori (Persone) |
GusikhinOleg
HammoudiSlimane QuixChristoph |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Database management
Application software Education—Data processing Social sciences—Data processing Computers, Special purpose Microprogramming Database Management Computer and Information Systems Applications Computers and Education Computer Application in Social and Behavioral Sciences Special Purpose and Application-Based Systems Control Structures and Microprogramming |
ISBN | 3-031-37890-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Papers -- A Survey-based Evaluation of the Data Engineering Maturity in Practice -- Automating Data Quality Monitoring with Reference Data Profiles -- Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews -- SubTempora: A Hybrid Approach for Optimising Subgraph Searching -- Exploring Instagram and Youtube Data to Extract User Insights: The Greek Paradigm -- Automatic Detection of Facial Landmarks for Denture Models -- Combining Image and Text Matching for Product Classification in Retail -- Automatic Sentiment Labelling of Multimodal Data -- From Cracked Accounts to Fake IDs: User Profiling on German Telegram Black Market Channels -- Data Mining and Machine Learning to Predict the Sulphur Content in the Hot Metal of a Coke-Fired Blast Furnace -- Automatic Instructional Feedback, and a Lecture Hub System: A Strategy towards Nurturing the Acquisition of a Structured Engagement Behavior. |
Record Nr. | UNINA-9910735790403321 |
Cuzzocrea Alfredo
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Deep Learning Theory and Applications [[electronic resource] ] : 4th International Conference, DeLTA 2023, Rome, Italy, July 13–14, 2023, Proceedings / / edited by Donatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone |
Autore | Conte Donatello |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (496 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
FredAna
GusikhinOleg SansoneCarlo |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Machine learning Application software Data mining Computers Natural language processing (Computer science) Artificial Intelligence Machine Learning Computer and Information Systems Applications Data Mining and Knowledge Discovery Computing Milieux Natural Language Processing (NLP) |
ISBN | 3-031-39059-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Pervasive AI: (deep) Learning into the Wild -- Deep Reinforcement Learning to Improve Traditional Supervised Learning Methodologies -- Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost -- Improving Primate Sounds Classification Using Binary Presorting for Deep Learning -- Towards Exploring Adversarial Learning for Anomaly Detection in Complex Driving Scenes -- Dynamic Prediction of Survival Status in Patients Undergoing Cardiac Catheterization Using a Joint Modeling Approach -- A Machine Learning Framework for Shuttlecock Tracking and Player Service Fault Detection -- An Automated Dual-Module Pipeline for Stock Prediction: Integrating N-Perception Period Power Strategy and NLP-Driven -- Sentiment Analysis for Enhanced Forecasting Accuracy and Investor Insight -- Machine Learning Applied to Speech Recordings for Parkinson’s Disease Recognition -- Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-Trained Networks vs. Training from Scratch -- A Study of Neural Collapse for Text Classification -- Research Data Reusability with Content-Based Recommender System -- MSDeepNet: A Novel Multi-Stream Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos -- A Novel Probabilistic Approach for Detecting Concept Drift in Streaming Data -- Explaining Relation Classification Models with Semantic Extents -- Phoneme-Based Multi-Task Assessment of Affective Vocal Bursts -- Using Artificial Intelligence to Reduce the Risk of Transfusion Hemolytic Reactions -- ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP -- Exploring ASR Models in Low-Resource Languages: Use-Case the Macedonian Language -- Facilitating Enterprise Model Classification via Embedding Symbolic Knowledge into Neural Network Models -- Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels -- TaxoSBERT: Unsupervised Taxonomy Expansion Through Expressive Semantic Similarity -- Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application -- An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning -- UMLDesigner: An Automatic UML Diagram Design Tool -- Graph Neural Networks for Circuit Diagram Pattern Generation -- Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets -- A Survey on Reinforcement Learning and Deep Reinforcement Learning for Recommender Systems -- GAN-Powered Model&Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images.-GAN-Based LiDAR Intensity Simulation -- Evaluating Prototypes and Criticisms for Explaining Clustered Contributions in Digital Public Participation Processes -- FRLL-Beautified: A Dataset of Fun Selfie Filters with Facial Attributes -- CSR & Sentiment Analysis: A New Customized Dictionary. |
Record Nr. | UNISA-996547971403316 |
Conte Donatello
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Deep Learning Theory and Applications : 4th International Conference, DeLTA 2023, Rome, Italy, July 13–14, 2023, Proceedings / / edited by Donatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone |
Autore | Conte Donatello |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (496 pages) |
Disciplina |
006.3
006.31 |
Altri autori (Persone) |
FredAna
GusikhinOleg SansoneCarlo |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Machine learning Application software Data mining Computers Natural language processing (Computer science) Artificial Intelligence Machine Learning Computer and Information Systems Applications Data Mining and Knowledge Discovery Computing Milieux Natural Language Processing (NLP) |
ISBN | 3-031-39059-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Pervasive AI: (deep) Learning into the Wild -- Deep Reinforcement Learning to Improve Traditional Supervised Learning Methodologies -- Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost -- Improving Primate Sounds Classification Using Binary Presorting for Deep Learning -- Towards Exploring Adversarial Learning for Anomaly Detection in Complex Driving Scenes -- Dynamic Prediction of Survival Status in Patients Undergoing Cardiac Catheterization Using a Joint Modeling Approach -- A Machine Learning Framework for Shuttlecock Tracking and Player Service Fault Detection -- An Automated Dual-Module Pipeline for Stock Prediction: Integrating N-Perception Period Power Strategy and NLP-Driven -- Sentiment Analysis for Enhanced Forecasting Accuracy and Investor Insight -- Machine Learning Applied to Speech Recordings for Parkinson’s Disease Recognition -- Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-Trained Networks vs. Training from Scratch -- A Study of Neural Collapse for Text Classification -- Research Data Reusability with Content-Based Recommender System -- MSDeepNet: A Novel Multi-Stream Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos -- A Novel Probabilistic Approach for Detecting Concept Drift in Streaming Data -- Explaining Relation Classification Models with Semantic Extents -- Phoneme-Based Multi-Task Assessment of Affective Vocal Bursts -- Using Artificial Intelligence to Reduce the Risk of Transfusion Hemolytic Reactions -- ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP -- Exploring ASR Models in Low-Resource Languages: Use-Case the Macedonian Language -- Facilitating Enterprise Model Classification via Embedding Symbolic Knowledge into Neural Network Models -- Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels -- TaxoSBERT: Unsupervised Taxonomy Expansion Through Expressive Semantic Similarity -- Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application -- An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning -- UMLDesigner: An Automatic UML Diagram Design Tool -- Graph Neural Networks for Circuit Diagram Pattern Generation -- Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets -- A Survey on Reinforcement Learning and Deep Reinforcement Learning for Recommender Systems -- GAN-Powered Model&Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images.-GAN-Based LiDAR Intensity Simulation -- Evaluating Prototypes and Criticisms for Explaining Clustered Contributions in Digital Public Participation Processes -- FRLL-Beautified: A Dataset of Fun Selfie Filters with Facial Attributes -- CSR & Sentiment Analysis: A New Customized Dictionary. |
Record Nr. | UNINA-9910736017403321 |
Conte Donatello
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Deep Learning Theory and Applications [[electronic resource] ] : Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers / / edited by Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani |
Autore | Fred Ana |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (130 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
SansoneCarlo
GusikhinOleg MadaniKurosh |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Computer systems Computer networks Computer science—Mathematics Artificial Intelligence Computer System Implementation Computer Communication Networks Mathematics of Computing |
ISBN | 3-031-37317-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Modified SkipGram Negative Sampling Model for Faster Convergence of Graph Embedding -- Active Collection of Well-being and Health Data in Mobile Devices -- Reliable Classification of Images by Calculating Their Credibility using a Layer-wise Activation Cluster Analysis of CNNs -- Trac Sign Repositories: Bridging the Gap between Real and Synthetic Data -- Convolutional Neural Networks for Structural Damage Localization on Digital Twins -- Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences. |
Record Nr. | UNISA-996546836003316 |
Fred Ana
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Deep Learning Theory and Applications : Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers / / edited by Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani |
Autore | Fred Ana |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (130 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
SansoneCarlo
GusikhinOleg MadaniKurosh |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Computer systems Computer networks Computer science—Mathematics Artificial Intelligence Computer System Implementation Computer Communication Networks Mathematics of Computing |
ISBN | 3-031-37317-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Modified SkipGram Negative Sampling Model for Faster Convergence of Graph Embedding -- Active Collection of Well-being and Health Data in Mobile Devices -- Reliable Classification of Images by Calculating Their Credibility using a Layer-wise Activation Cluster Analysis of CNNs -- Trac Sign Repositories: Bridging the Gap between Real and Synthetic Data -- Convolutional Neural Networks for Structural Damage Localization on Digital Twins -- Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences. |
Record Nr. | UNINA-9910734874903321 |
Fred Ana
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Informatics in control, automation and robotics : 18th International Conference, ICINCO 2021 Lieusaint - Paris, France, July 6-8, 2021, revised selected papers / / Oleg Gusikhin, Kurosh Madani and Henk Nijmeijer, editors |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
Descrizione fisica | 1 online resource (218 pages) |
Disciplina | 629.8 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Automatic control
Robotics Automation |
ISBN | 3-031-26474-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Approximation Methods and Reference Values for Maximum Allowed Collaborative Operating Speeds in Quasi-static and Transient Contact Cases -- Toward Real-time Multi-Objective Optimization for Bus Service KPIs -- A Two-stage Trajectory Prediction Algorithm for Mobile Robots Combining the Bayesian and the DMOC Frameworks -- Adaptive Neural Network based Fractional Order Control of Unmanned Aerial Vehicle -- Design and Development of a Dexterous Teleoperation Setup for Nuclear Waste Remote Manipulation -- Pose Optimization of Task-redundant Robots in Second-order Rest-to-Rest Motion with Cascaded Dynamic Programming and Nullspace Projection -- Output Feedback Reference Tracking and Disturbance Rejection for Constrained Linear Systems using Invariant Sets -- Output-feedback Model Predictive Control using Set of State Estimates -- Prediction of Overdispersed Count Data using Real-time Cluster-based Discretization of Explanatory Variables -- Model-based Optimization of Vaccination Strategies in Different Phases of Pandemic Virus Spread. |
Record Nr. | UNINA-9910674343803321 |
Cham, Switzerland : , : Springer, , [2023] | ||
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Lo trovi qui: Univ. Federico II | ||
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Informatics in Control, Automation and Robotics : 16th International Conference, ICINCO 2019 Prague, Czech Republic, July 29-31, 2019, Revised Selected Papers / / Oleg Gusikhin, Kurosh Madani and Janan Zaytoon (editors) |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (XVI, 193 p. 81 illus., 61 illus. in color.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Computational intelligence
Artificial intelligence Control and Systems Theory |
ISBN | 3-030-63193-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Towards a PGD-based Computational Vademecum for Robot Path Planning -- Optimal Reachability and Grasping for a Soft Manipulator -- On Local Observer Design for LQR Problems with Tracking. |
Record Nr. | UNINA-9910484430403321 |
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Informatics in Control, Automation and Robotics : 14th International Conference, ICINCO 2017 Madrid, Spain, July 26-28, 2017 ; Revised Selected Papers / / editors, Oleg Gusikhin, Kurosh Madani |
Edizione | [1st edition 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XVIII, 812 pages 473 illustrations, 373 illustrations in color.) |
Disciplina | 629.8312 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Automatic control
Robotics Automation Artificial intelligence |
ISBN | 3-030-11292-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Scheduling of an On-demand Fixture Manufacturing Cell for Mass Customization: Optimal Method vs. Heuristic -- Finite-Horizon H8 Control Problem with Singular Control Cost -- Energy-based Functional Modelling for Control Architecture Design: An Application to Energy Management for a Hybrid Electric Vehicle -- Semi-supervised Data Mining Tool Design with Self-Tuning Optimization Techniques -- A Discrete-time PID-like Consensus Control: Application to the Wind Farm Distributed Control Problem -- Parallel Scheduling Subject to Release Dates and Delivery Times under the Non-idling Constraint. |
Record Nr. | UNINA-9910483323003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Informatics in Control, Automation and Robotics : 15th International Conference, ICINCO 2018, Porto, Portugal, July 29-31, 2018, Revised Selected Papers / / edited by Oleg Gusikhin, Kurosh Madani |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (xvii, 570 pages) : illustrations |
Disciplina |
629.8312
629.8 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Control engineering
Robotics Automation Artificial intelligence Control and Systems Theory Robotics and Automation Artificial Intelligence |
ISBN | 3-030-31993-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910484718803321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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