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Advances in Computational Collective Intelligence [[electronic resource] ] : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Nunez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
Advances in Computational Collective Intelligence [[electronic resource] ] : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Nunez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
Autore Nguyen Ngoc Thanh
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (779 pages)
Disciplina 006.3
Altri autori (Persone) BotzheimJános
GulyásLászló
NunezManuel
TreurJan
VossenGottfried
KozierkiewiczAdrianna
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Social sciences - Data processing
Education - Data processing
Computer vision
Artificial Intelligence
Computer Engineering and Networks
Computer Application in Social and Behavioral Sciences
Computers and Education
Computer Vision
ISBN 3-031-41774-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Collective Intelligence and Collective Decision-Making -- Assessing the Effects of Expanded Input Elicitation and Machine Learning-based Priming for Crowd Stock Prediction -- RaReSi: An Approach Combining Ratings and Reviews to Measure User Similarity in Neighbor-based Recommender Systems -- Personalized Quiz-Based Perfume Recommender System Using Social Data -- LSTM-based QoE Evaluation for Web Microservices’ Reputation Scoring -- Previous Opinions is All You Need - Legal Information Retrieval System -- An Agent-Based Network Model for Interpersonal Emotion Regulation in Human-Bot Interaction -- Deep Learning Techniques -- Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning -- Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Tunisian Dialectical Facebook Content during the Spread of the Coronavirus Pandemic -- Interpretation of immunofluorescence slides by Deep Learning techniques: Anti-nuclear antibodies case study -- An improved approach for Parkinson’s disease classification based on convolutional neural network -- A Convolutional Recurrent Neural Network model for Classification of Parkinson’s Disease from Resting State EEG signals -- Recognition of Alzheimer’s Disease based on Transfer Learning Approach using Brain MRI Images With Regularization -- Detection and analyzing satellite images by using Conventional neural network -- Classifying Chicken-Made Food Images Using Enhanced MobilNetV2 -- Natural Language Processing -- Initial approach to pharmaceutical opinion search in polish language -- WSDTN a novel dataset for Arabic word sense disambiguation -- CNN-BiLSTM model for Arabic Dialect Identification -- Active Learning with AraGPT2 for Arabic Named Entity Recognition -- FreMPhone: A French Mobile Phone Corpus for Aspect-based Sentiment Analysis -- OTSummarizer an Optimal Transport based approach for extractive text summarization -- Towards a hybrid document indexing approach for Arabic documentary retrieval system -- Sh-DistilBERT: new transfer learning model for Arabic Sentiment Analysis and Aspect Category Detection -- Data Minning and Machine learning -- A hybrid method of k-nearest neighbors with decision tree for water quality classification in aquaculture -- Evaluating Web Crawlers with Machine Learning Algorithms for Accurate Location Extraction from Job Offers -- A Design Science Research Approach Towards Knowledge Discovery and Predictive Maintenance of MEMS Inertial Sensors Using Machine Learning -- Efficient Pruning Strategy for Mining High Utility Quantitative Itemsets -- AAPL forecasting using contemporary time series models -- Improving Gossip Learning via Limited Model Merging -- Ensemble Machine Learning-Based Egg Parasitism Identification for Endangered Bird Conservation -- Social Networks and Speek Communication -- A Comparative Analysis of Long Covid in the French Press and Twitter -- Semantic analysis of transit related tweets in London and Prague -- k-shell Without Decomposition -- Difficulties developing a children’s speech recognition system for languages with limited training data -- Kazakh-Uzbek Speech Cascade Machine Translation on Complete Set of Endings -- Cybersecurity and Internet of Things -- Human-related security threats and countermeasures of electronic banking and identity services - Polish case study -- Design and Development of IoT based Medical Cleanroom -- Reliable framework for Digital Forensics in Medical Internet of Things -- Federated Learning - Opportunities and Application Challenges -- Cooperative Strategies for Decision Making and Optimization -- A new Ant population based improvement heuristic for solving large scale TSP -- Comparison of various mutation operators of the bacterial memetic algorithm on the traveling salesman problem -- Comparing Lamarckian and Baldwinian Approaches in Memetic Optimization -- A Fitness Approximation Assisted Hyper-heuristic for the Permutation Flowshop Problem -- Generalized objective function to ensure robust evaluation for evolutionary storage location assignment algorithms -- Bacterial Evolutionary Algorithm based Autoencoder Architecture Search for Anomaly Detection -- Digital Content Understanding and Apllication for Industry 4.0 -- Improved Object Detection by Utilizing the Image Stream -- Combination of DE-GAN With CNN-LSTM for Arabic OCR on Images with Colorful Backgrounds -- A Solution for Building a V-Museum Based on Virtual Reality Application -- Synthetic football sprite animations learned across the pitch -- Solving the Hydrophobic-Polar model with Nested Monte Carlo Search -- Ground Truth Data Generator In Automotive Infrared Sensor Vision Problems Using a Minimum Set of Operations -- Theoretical and empirical testing of the randomness of a quantum random number generator with quantum entanglement -- Computational Intelligence in Medical Applications -- Robust Brain Age Estimation via Regression Models and MRI-derived Features -- Efficient Analysis of Patient Length of Stay in Hospitals Using Classification and Clustering Approaches. Electrocardiogram-based Heart Disease Classification with Machine Learning Techniques -- SS-FL: Self-Supervised Federated Learning for COVID-19 Detection from Chest X-ray Images -- A New Approach For The Diagnosis of Children Personality Disorders Based On Semantic Analysis -- Comparative Analysis of Human Action Recognition Classification for Ambient Assisted Living -- Overview of Time Series Classification based on symbolic discretization for ECG applications -- Res 1D CNN and BiLSTM with Attention Mechanism Integration for Arrhythmia Diagnosis.
Record Nr. UNISA-996550553803316
Nguyen Ngoc Thanh  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Nunez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
Advances in Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Nunez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
Autore Nguyen Ngoc Thanh
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (779 pages)
Disciplina 006.3
Altri autori (Persone) BotzheimJános
GulyásLászló
NunezManuel
TreurJan
VossenGottfried
KozierkiewiczAdrianna
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Social sciences - Data processing
Education - Data processing
Computer vision
Artificial Intelligence
Computer Engineering and Networks
Computer Application in Social and Behavioral Sciences
Computers and Education
Computer Vision
ISBN 9783031417740
3031417747
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Collective Intelligence and Collective Decision-Making -- Assessing the Effects of Expanded Input Elicitation and Machine Learning-based Priming for Crowd Stock Prediction -- RaReSi: An Approach Combining Ratings and Reviews to Measure User Similarity in Neighbor-based Recommender Systems -- Personalized Quiz-Based Perfume Recommender System Using Social Data -- LSTM-based QoE Evaluation for Web Microservices’ Reputation Scoring -- Previous Opinions is All You Need - Legal Information Retrieval System -- An Agent-Based Network Model for Interpersonal Emotion Regulation in Human-Bot Interaction -- Deep Learning Techniques -- Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning -- Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Tunisian Dialectical Facebook Content during the Spread of the Coronavirus Pandemic -- Interpretation of immunofluorescence slides by Deep Learning techniques: Anti-nuclear antibodies case study -- An improved approach for Parkinson’s disease classification based on convolutional neural network -- A Convolutional Recurrent Neural Network model for Classification of Parkinson’s Disease from Resting State EEG signals -- Recognition of Alzheimer’s Disease based on Transfer Learning Approach using Brain MRI Images With Regularization -- Detection and analyzing satellite images by using Conventional neural network -- Classifying Chicken-Made Food Images Using Enhanced MobilNetV2 -- Natural Language Processing -- Initial approach to pharmaceutical opinion search in polish language -- WSDTN a novel dataset for Arabic word sense disambiguation -- CNN-BiLSTM model for Arabic Dialect Identification -- Active Learning with AraGPT2 for Arabic Named Entity Recognition -- FreMPhone: A French Mobile Phone Corpus for Aspect-based Sentiment Analysis -- OTSummarizer an Optimal Transport based approach for extractive text summarization -- Towards a hybrid document indexing approach for Arabic documentary retrieval system -- Sh-DistilBERT: new transfer learning model for Arabic Sentiment Analysis and Aspect Category Detection -- Data Minning and Machine learning -- A hybrid method of k-nearest neighbors with decision tree for water quality classification in aquaculture -- Evaluating Web Crawlers with Machine Learning Algorithms for Accurate Location Extraction from Job Offers -- A Design Science Research Approach Towards Knowledge Discovery and Predictive Maintenance of MEMS Inertial Sensors Using Machine Learning -- Efficient Pruning Strategy for Mining High Utility Quantitative Itemsets -- AAPL forecasting using contemporary time series models -- Improving Gossip Learning via Limited Model Merging -- Ensemble Machine Learning-Based Egg Parasitism Identification for Endangered Bird Conservation -- Social Networks and Speek Communication -- A Comparative Analysis of Long Covid in the French Press and Twitter -- Semantic analysis of transit related tweets in London and Prague -- k-shell Without Decomposition -- Difficulties developing a children’s speech recognition system for languages with limited training data -- Kazakh-Uzbek Speech Cascade Machine Translation on Complete Set of Endings -- Cybersecurity and Internet of Things -- Human-related security threats and countermeasures of electronic banking and identity services - Polish case study -- Design and Development of IoT based Medical Cleanroom -- Reliable framework for Digital Forensics in Medical Internet of Things -- Federated Learning - Opportunities and Application Challenges -- Cooperative Strategies for Decision Making and Optimization -- A new Ant population based improvement heuristic for solving large scale TSP -- Comparison of various mutation operators of the bacterial memetic algorithm on the traveling salesman problem -- Comparing Lamarckian and Baldwinian Approaches in Memetic Optimization -- A Fitness Approximation Assisted Hyper-heuristic for the Permutation Flowshop Problem -- Generalized objective function to ensure robust evaluation for evolutionary storage location assignment algorithms -- Bacterial Evolutionary Algorithm based Autoencoder Architecture Search for Anomaly Detection -- Digital Content Understanding and Apllication for Industry 4.0 -- Improved Object Detection by Utilizing the Image Stream -- Combination of DE-GAN With CNN-LSTM for Arabic OCR on Images with Colorful Backgrounds -- A Solution for Building a V-Museum Based on Virtual Reality Application -- Synthetic football sprite animations learned across the pitch -- Solving the Hydrophobic-Polar model with Nested Monte Carlo Search -- Ground Truth Data Generator In Automotive Infrared Sensor Vision Problems Using a Minimum Set of Operations -- Theoretical and empirical testing of the randomness of a quantum random number generator with quantum entanglement -- Computational Intelligence in Medical Applications -- Robust Brain Age Estimation via Regression Models and MRI-derived Features -- Efficient Analysis of Patient Length of Stay in Hospitals Using Classification and Clustering Approaches. Electrocardiogram-based Heart Disease Classification with Machine Learning Techniques -- SS-FL: Self-Supervised Federated Learning for COVID-19 Detection from Chest X-ray Images -- A New Approach For The Diagnosis of Children Personality Disorders Based On Semantic Analysis -- Comparative Analysis of Human Action Recognition Classification for Ambient Assisted Living -- Overview of Time Series Classification based on symbolic discretization for ECG applications -- Res 1D CNN and BiLSTM with Attention Mechanism Integration for Arrhythmia Diagnosis.
Record Nr. UNINA-9910746295203321
Nguyen Ngoc Thanh  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Databases and Information Systems [[electronic resource] ] : 13th East European Conference, ADBIS 2009, Riga, Latvia, September 7-10, 2009, Proceedings / / edited by Janis Grundspenkis, Tadeusz Morzy, Gottfried Vossen
Advances in Databases and Information Systems [[electronic resource] ] : 13th East European Conference, ADBIS 2009, Riga, Latvia, September 7-10, 2009, Proceedings / / edited by Janis Grundspenkis, Tadeusz Morzy, Gottfried Vossen
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Descrizione fisica 1 online resource (XIII, 379 p.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Data structures (Computer science)
Database management
Data mining
Application software
Information storage and retrieval
Multimedia information systems
Data Structures and Information Theory
Database Management
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
Information Storage and Retrieval
Multimedia Information Systems
Soggetto genere / forma Kongress.
Riga (2009)
ISBN 3-642-03973-1
Classificazione DAT 600f
DAT 650f
SS 4800
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Talk -- Sausalito: An Application Servers for RESTful Services in the Cloud -- Business Processes -- Versions to Address Business Process Flexibility Issue -- A Rule-Based Modeling for the Description of Flexible and Self-healing Business Processes -- Business Process Aware IS Change Management in SMEs -- Design Issues -- Performance Driven Database Design for Scalable Web Applications -- Generic Entity Resolution in Relational Databases -- Tool Support for the Design and Management of Spatial Context Models -- Advanced Query Processing -- Efficient Set Similarity Joins Using Min-prefixes -- Probabilistic Granule-Based Inside and Nearest Neighbor Queries -- Window Update Patterns in Stream Operators -- Query Processing and Optimization -- Systematic Exploration of Efficient Query Plans for Automated Database Restructuring -- Using Structural Joins and Holistic Twig Joins for Native XML Query Optimization -- Approximate Rewriting of Queries Using Views -- Query Languages -- SQL Triggers Reacting on Time Events: An Extension Proposal -- Pushing Predicates into Recursive SQL Common Table Expressions -- On Containment of Conjunctive Queries with Negation -- Indexing and Caching -- Optimizing Maintenance of Constraint-Based Database Caches -- The Onion-Tree: Quick Indexing of Complex Data in the Main Memory -- Data Integration -- Cost-Based Vectorization of Instance-Based Integration Processes -- Empowering Provenance in Data Integration -- Applications -- Detecting Moving Objects in Noisy Radar Data Using a Relational Database -- Study of Dependencies in Executions of E-Contract Activities -- Object Tag Architecture for Innovative Intelligent Transportation Systems -- Portpourri -- Conceptual Universal Database Language: Moving Up the Database Design Levels -- Temporal Data Classification Using Linear Classifiers -- SPAX – PAX with Super-Pages.
Record Nr. UNISA-996465758603316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in databases and information systems : 13th East European conference, ADBIS 2009, Riga, Latvia, September 7-10, 2009 ; proceedings / / Janis Grundspenkis, Tadeusz Morzy, Gottfried Vossen (eds.)
Advances in databases and information systems : 13th East European conference, ADBIS 2009, Riga, Latvia, September 7-10, 2009 ; proceedings / / Janis Grundspenkis, Tadeusz Morzy, Gottfried Vossen (eds.)
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, : Springer, c2009
Descrizione fisica 1 online resource (XIII, 379 p.)
Disciplina 005.74
Altri autori (Persone) GrundspenkisJanis
MorzyTadeusz <1954->
VossenGottfried
Collana Lecture notes in computer science
Soggetto topico Database management
Information technology
ISBN 3-642-03973-1
Classificazione DAT 600f
DAT 650f
SS 4800
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Talk -- Sausalito: An Application Servers for RESTful Services in the Cloud -- Business Processes -- Versions to Address Business Process Flexibility Issue -- A Rule-Based Modeling for the Description of Flexible and Self-healing Business Processes -- Business Process Aware IS Change Management in SMEs -- Design Issues -- Performance Driven Database Design for Scalable Web Applications -- Generic Entity Resolution in Relational Databases -- Tool Support for the Design and Management of Spatial Context Models -- Advanced Query Processing -- Efficient Set Similarity Joins Using Min-prefixes -- Probabilistic Granule-Based Inside and Nearest Neighbor Queries -- Window Update Patterns in Stream Operators -- Query Processing and Optimization -- Systematic Exploration of Efficient Query Plans for Automated Database Restructuring -- Using Structural Joins and Holistic Twig Joins for Native XML Query Optimization -- Approximate Rewriting of Queries Using Views -- Query Languages -- SQL Triggers Reacting on Time Events: An Extension Proposal -- Pushing Predicates into Recursive SQL Common Table Expressions -- On Containment of Conjunctive Queries with Negation -- Indexing and Caching -- Optimizing Maintenance of Constraint-Based Database Caches -- The Onion-Tree: Quick Indexing of Complex Data in the Main Memory -- Data Integration -- Cost-Based Vectorization of Instance-Based Integration Processes -- Empowering Provenance in Data Integration -- Applications -- Detecting Moving Objects in Noisy Radar Data Using a Relational Database -- Study of Dependencies in Executions of E-Contract Activities -- Object Tag Architecture for Innovative Intelligent Transportation Systems -- Portpourri -- Conceptual Universal Database Language: Moving Up the Database Design Levels -- Temporal Data Classification Using Linear Classifiers -- SPAX – PAX with Super-Pages.
Altri titoli varianti ADBIS 2009
Record Nr. UNINA-9910484827903321
Berlin, : Springer, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Databases and Information Systems [[electronic resource] ] : Second East European Symposium, ADBIS '98, Poznan, Poland, September 7-10, 1998, Proceedings / / edited by Witold Litwin, Tadeusz Morzy, Gottfried Vossen
Advances in Databases and Information Systems [[electronic resource] ] : Second East European Symposium, ADBIS '98, Poznan, Poland, September 7-10, 1998, Proceedings / / edited by Witold Litwin, Tadeusz Morzy, Gottfried Vossen
Edizione [1st ed. 1998.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998
Descrizione fisica 1 online resource (XIV, 378 p.)
Disciplina 005.74
Collana Lecture Notes in Computer Science
Soggetto topico Data structures (Computer science)
Computer engineering
Database management
Application software
Information storage and retrieval
Multimedia information systems
Data Structures and Information Theory
Computer Engineering
Database Management
Information Systems Applications (incl. Internet)
Information Storage and Retrieval
Multimedia Information Systems
ISBN 3-540-68309-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Recent progress in data integration — A tutorial -- Managing multimedia information in a database environment — A tutorial -- Association rules... and what’s next? — Towards second generation data mining systems -- Workflow management in the internet age -- Untyped queries, untyped reflective machines and conditional quantifiers -- Containment of conjunctive queries with built-in predicates with variables and constants over any ordered domain -- Using queries with multi-directional functions for numerical database applications -- Multiple range query optimization in spatial databases -- Optimizing command logs by exploiting semantic knowledge -- A distributed algorithm for global query optimization in multidatabase systems -- Transaction management in databases supporting collaborative applications -- Object-oriented design of a flexible workflow management system -- Extending transaction closures by n-ary termination dependencies -- Distributed information systems -- Integrated web — Database applications for electronic business -- Term weighting in query-based document clustering -- Discovery of object-oriented schema and schema conflicts -- On the ordering of rewrite rules -- Towards data and object modelling -- Propagation of structural modifications to an integrated schema -- Integration of schemas containing data versions and time components -- Deriving relationships between integrity constraints for schema comparison -- A database interface integrating a query language for versions -- nP-Tree: Region partitioning and indexing for efficient path planning -- Replication in mirrored disk systems -- Clustering techniques for minimizing object access time -- Designing persistence for real-time distributed object systems -- Partial replication of object-oriented databases -- Optimizing knowledge discovery over the WWW -- Data mining query language for object-oriented database -- Itemset materializing for fast mining of association rules -- Schema derivation for WWW information sources and their integration with databases in Bioinformatics -- Component-based information systems development tool supporting the SYNTHESIS design method -- Translating relational queries to object-oriented queries according to ODMG-93 -- A flexible framework for a correct database design -- Human resources information systems improvement: Involving financial systems and other sources data -- Physical structure design for relational databases -- Modeling of census data in a multidimensional environment.
Record Nr. UNISA-996466127203316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Databases and Information Systems [[electronic resource] ] : Second East European Symposium, ADBIS '98, Poznan, Poland, September 7-10, 1998, Proceedings / / edited by Witold Litwin, Tadeusz Morzy, Gottfried Vossen
Advances in Databases and Information Systems [[electronic resource] ] : Second East European Symposium, ADBIS '98, Poznan, Poland, September 7-10, 1998, Proceedings / / edited by Witold Litwin, Tadeusz Morzy, Gottfried Vossen
Edizione [1st ed. 1998.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998
Descrizione fisica 1 online resource (XIV, 378 p.)
Disciplina 005.74
Collana Lecture Notes in Computer Science
Soggetto topico Data structures (Computer science)
Computer engineering
Database management
Application software
Information storage and retrieval
Multimedia systems
Data Structures and Information Theory
Computer Engineering
Database Management
Information Systems Applications (incl. Internet)
Information Storage and Retrieval
Multimedia Information Systems
ISBN 3-540-68309-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Recent progress in data integration — A tutorial -- Managing multimedia information in a database environment — A tutorial -- Association rules... and what’s next? — Towards second generation data mining systems -- Workflow management in the internet age -- Untyped queries, untyped reflective machines and conditional quantifiers -- Containment of conjunctive queries with built-in predicates with variables and constants over any ordered domain -- Using queries with multi-directional functions for numerical database applications -- Multiple range query optimization in spatial databases -- Optimizing command logs by exploiting semantic knowledge -- A distributed algorithm for global query optimization in multidatabase systems -- Transaction management in databases supporting collaborative applications -- Object-oriented design of a flexible workflow management system -- Extending transaction closures by n-ary termination dependencies -- Distributed information systems -- Integrated web — Database applications for electronic business -- Term weighting in query-based document clustering -- Discovery of object-oriented schema and schema conflicts -- On the ordering of rewrite rules -- Towards data and object modelling -- Propagation of structural modifications to an integrated schema -- Integration of schemas containing data versions and time components -- Deriving relationships between integrity constraints for schema comparison -- A database interface integrating a query language for versions -- nP-Tree: Region partitioning and indexing for efficient path planning -- Replication in mirrored disk systems -- Clustering techniques for minimizing object access time -- Designing persistence for real-time distributed object systems -- Partial replication of object-oriented databases -- Optimizing knowledge discovery over the WWW -- Data mining query language for object-oriented database -- Itemset materializing for fast mining of association rules -- Schema derivation for WWW information sources and their integration with databases in Bioinformatics -- Component-based information systems development tool supporting the SYNTHESIS design method -- Translating relational queries to object-oriented queries according to ODMG-93 -- A flexible framework for a correct database design -- Human resources information systems improvement: Involving financial systems and other sources data -- Physical structure design for relational databases -- Modeling of census data in a multidimensional environment.
Record Nr. UNINA-9910768475203321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Collective Intelligence : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
Computational Collective Intelligence : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
Autore Nguyen Ngoc Thanh
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (415 pages)
Disciplina 006.3
Altri autori (Persone) FranczykBogdan
LudwigAndré
NúñezManuel
TreurJan
VossenGottfried
KozierkiewiczAdrianna
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Data structures (Computer science)
Information theory
Computer science
Artificial Intelligence
Computer Engineering and Networks
Computer Communication Networks
Data Structures and Information Theory
Theory of Computation
ISBN 3-031-70819-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Social Networks and Intelligent Systems. -- A deep learning approach to fine-grained political ideology classification on social media texts. -- Enhancing Social Network Trust with Improved EigenTrust Algorithm. -- An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research and Practice. -- Experimental Study on Link Prediction in Unweighted and Weighted Time-Evolving Organizational Social Network. -- Assessing Student Quality of Life: Analysis of Key Influential Factors. -- An Adaptive Network Model for Interpersonal Emotion Regulation in Multimodal Human-Bot Interaction. -- Cybersecurity, Blockchain Technology, and Internet of Things. -- Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning. -- Daily activities forecasting for long-term elderly behavior change detection. -- Detection of Fake Facial Images and Changes in Real Facial Images. -- TabGAN-powered Data Augmentation and Explainable Boosting-based Ensemble Learning for Intrusion Detection in Industrial Control Systems. -- Malware detection among contact tracing apps with deep learning. -- Cooperative Strategies for Decision Making and Optimization. -- Modeling the Functioning of Decision Trees Based on Decision Rule Systems by Greedy Algorithm. -- Delays in computing with parallel metaheuristics on HPC infrastructure. -- Reinforcement Learning-Based Cooperative Traffic Control System. -- Discovering Spatial Prevalent Co-location Patterns by Once Scanning Datasets without Generating Candidates. -- New results for some Tur´an problem instances obtained using the reinforcement learning technique. -- Computational Intelligence for Digital Content Understanding. -- Impact of acquisition parameters on the performance of radiomic systems. -- Feature Explainability and Enhancement for Skin Lesion Image Analysis. -- Toward Intelligent Ethnicity Recognition and Face Anonymization: An IncepX-Ensemble Model Approach. -- Weak Supervised Asphalt Pavement Segmentation. -- New Presence-Dependent Binary Similarity Measures for Pairwise Label Comparisons in Multi-label Classification. -- Synergistic Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures. -- Knowledge Engineering and Application for Industry 4.0. -- High learning hierarchical neural networks. -- A new method of detecting Alzheimer’s disease. -- GCC Aware Glaucoma Detection Using Macula OCT Image Analysis Based on Deep Convolutional Neural Networks. -- Understanding Geometric Relationship Concepts in Few-Shot Learning. -- Applicability criterion of the Non Overlapping Template Matching algorithm from NIST Statistical Test Suite SP800-22 for long aperiodic patterns. -- Enhanced Activity Recognition through Joint utilization of Decimal Descriptors and Temporal Binary Motions. -- Using Multilevel Temporal Factorisation to Analyse Structure and Dynamics for Higher-Order Adaptive and Evolutionary Processes.
Record Nr. UNINA-9910886987303321
Nguyen Ngoc Thanh  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Collective Intelligence : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
Computational Collective Intelligence : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
Autore Nguyen Ngoc Thanh
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (418 pages)
Disciplina 006.3
Altri autori (Persone) FranczykBogdan
LudwigAndré
NúñezManuel
TreurJan
VossenGottfried
KozierkiewiczAdrianna
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Data structures (Computer science)
Information theory
Computer science
Artificial Intelligence
Computer Engineering and Networks
Computer Communication Networks
Data Structures and Information Theory
Theory of Computation
ISBN 3-031-70816-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Collective Intelligence and Collective Decision-Making. -- Collective Computational Intelligence – challenges and opportunities. -- Reward-based Hybrid Genetic Algorithm for Solving the Class Scheduling Problem. -- A Novel Multi-Criteria Approach Supporting Strong Sustainability Assessment. -- Enhancing Focused Ant Colony Optimization for Large-Scale Traveling Salesman Problems through Adaptive Parameter Tuning. -- Parallelized Population-based Multi-heuristic Approach for Solving RCPSP and MRCPSP Instances. -- A Collective Intelligence To Predict Stock Market Indices Applying An Optimized Hybrid Ensemble Learning Model. -- Deep Learning Techniques. -- Melanoma detection using CBR approach within a possibilistic framework. -- GANet - Learning tabular data using global attention. -- COVID-19 Detection based on Deep Features and SVM. -- Hybrid Convolutional Network Fusion: Enhanced Medical Image Classification with Dual-Pathway Learning from Raw and Enhanced Visual Features. -- Interpreting results of VGG-16 for COVID-19 diagnosis on CT images. -- A hybrid approach using 2D CNN and attention-based LSTM for Parkinson’s Disease Detection from video. -- Improved CNN Model Stability and Robustness with Video Frame Segmentation. -- Deep Learning for Cardiac Diseases Classification. -- Natural Language Processing. -- BABot: a Framework for the LLM-based Chatbot Supporting Business Analytics in e-Commerce. -- BioBERT for Multiple knowledge-based question expansion and biomedical extractive question answering. -- AMAMP: A Two-Phase Adaptive Multi-hop Attention Message Passing Mechanism For Logical Reasoning Machine Reading Comprehension. -- Enhancing Low-Resource NER via Knowledge Transfer from LLM. -- Efficient Argument Classification with Compact Language Models and ChatGPT-4 Refinements. -- Refining Natural Language Inferences using Cross-Document Structure Theory. -- Data Mining and Machine Learning. -- Intelligent Handling of Noise in Federated Learning with Co-training for Enhanced Diagnostic Precision. -- Detection and Classification of olive leaves diseases using machine learning algorithms. -- Investigation of Machine Learning and Deep Learning Approaches for Early PM2.5 Forecasting: A Case Study in Vietnam. -- Detection of candidate skills from job offers and comparison with ESCO database. -- Multi-objective and Randomly Distributed Fuzzy Logic-based Unequal Clustering in Heterogeneous Wireless Sensor Networks. -- nMITP-Miner: An efficient method for mining frequent maximal inter-transaction patterns. -- A heterogeneous ensemble of classifiers for sports betting: based on the English Premier League. -- The New K-Means Initialization Method. -- Efficiently discover multi-level maximal high-utility patterns from hierarchical databases.
Record Nr. UNINA-9910886988403321
Nguyen Ngoc Thanh  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Collective Intelligence [[electronic resource] ] : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
Computational Collective Intelligence [[electronic resource] ] : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
Autore Nguyen Ngoc Thanh
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (859 pages)
Disciplina 006.3
Altri autori (Persone) BotzheimJános
GulyásLászló
NúñezManuel
TreurJan
VossenGottfried
KozierkiewiczAdrianna
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Data structures (Computer science)
Information theory
Computer science
Artificial Intelligence
Computer Engineering and Networks
Computer Communication Networks
Data Structures and Information Theory
Theory of Computation
ISBN 3-031-41456-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Collective Intelligence and Collective Decision-Making -- Hybrid Genetic Algorithms to Determine 2-Optimality Consensus for a Collective of Ordered Partitions -- From Fragmented Data to Collective Intelligence: A Data Fabric Approach for University Knowledge Management -- An Architecture for Enabling Collective Intelligence in IoT Networks -- Self-Organizing Maps for Data Purchase Support in Data Marketplaces -- Agent based model of elementary school group learning – a case study -- Deep Learning Techniques -- Deep Reinforcement Learning for Jointly Resource Allocation and Trajectory Planning in UAV-assisted Networks -- DNGAE: Deep Neighborhood Graph Autoencoder for robust blind hyperspectral unmixing -- Unlocking the Potential of Deep Learning and Filter Gabor for Facial Emotion Recognition -- Graph Convolution Collaborative Filtering with Dense Embeddings -- Automatic Quantization for Convolutional Neural Networks Based on Enhanced Bare-Bones Particle Swarm Optimization for Chest X-ray Image Classification -- A Convolutional Autoencoder Approach for Weakly Supervised Anomaly Video Detection -- Sparsity-invariant Convolution for Forecasting Irregularly Sampled Time Series -- Efficient Sparse Networks from Watts-Strogatz Network Priors -- Natural Language Processing -- Exploring the Role of Monolingual Data in Cross-Attention Pre-Training for Neural Machine Translation -- Development of a dictionary for preschool children with weak speech skills based on the Word2Vec method -- An abstractive automatic summarization approach based on a text comprehension model of cognitive psychology -- Detecting Duplicate Multiple Choice Questions in The Large Question Bank -- A Context-Aware Approach for Improving Dialog Act Detection in a Multilingual Conversational Platform -- Data Minning and Machine learning -- Efficient Association Rules Minimization Using a Double-Stage Quine-McCluskey-Based Approach -- Complexity-Based Code Embeddings -- Differentially Private Copulas, DAG and Hybrid Methods: a Comprehensive Data Utility Study -- Analysing Android Apps Classification and Categories Validation by using Latent Dirichlet Allocation -- Staircase Recognition based on Possibilistic Feature Quality Assessment Method -- Social Networks and Intelligent Systems -- Toward effective link prediction based on local information in organizational social networks -- A new topic modeling method for tweets comparison -- Measuring gender: A machine learning approach to social media demographics and author profiling -- Crisis Detection by Social and Remote Sensing Fusion: A selective Attention Approach -- Educational Videos Recommendation System Based On Topic Modeling -- Cybersecurity, Blockchain Technology and Internet of Things -- A Two-hop Neighborhood Based Berserk Detection Algorithm for Probabilistic Model of Consensus in Distributed Ledger Systems -- Trust Assessment on Data Stream Imputation in IoT Environments -- Optimizing Merkle Tree Structure for Blockchain transactions by a DC Programming approach -- Wearable Tag for Indoor Localization in the context of Ambient Assisted Living -- Hyperledger blockchain-enabled cold chain application for flower logistics -- A Fully Decentralized Privacy-Enabled Federated Learning System -- Cooperative Strategies for Decision Making and Optimization -- Two-dimensional Pheromone in Ant Colony Optimization -- Analysis of different reinsertion strategies in Steady State Genetic Algorithm -- Traffic Optimization by Local Bacterial Memetic Algorithm -- Optimizing Fire Control Monitoring System in Smart Cities -- Computational Intelligence for Digital Content Understanding -- Desertification Detection in Satellite Images using Siamese Variational Autoencoder with Transfer Learning -- Speaker Identification Enhancement Using Emotional Features -- Classification of punches in Olympic boxing using static RGB cameras -- Learning Human Postures using Lab-Depth HOG Descriptors -- SemiMemes: A Semi-supervised Learning Approach for Multimodal Memes Analysis -- Extrinsic Calibration Framework for Camera-Lidar Fusion using Recurrent Residual Network -- GAN-based Data Augmentation and Pseudo-Label Refinement for Unsupervised Domain Adaptation Person Re-Identification -- Intelligent Automated Pancreas Segmentation using U-Net Model Variants -- Knowledge Engineering and Apllication for Industry 4.0 -- Energy and Congestion Awareness Traffic Scheduling in Hybrid Software-Defined Network with Flow Splitting -- "Is Proton good enough?" - a performance comparison between gaming on Windows and Linux -- Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas -- Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas -- Complex layers of ranked prognostic models -- Project Team Members competences configuration: a proactive and reactive approach -- Computational Intelligence in Medical Applications -- Teeth disease recognition based on X-ray images -- Predicting Alzheimer’s Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort -- MEP: A Comprehensive Medicines Extraction System on Prescriptions -- New Approaches to Monitoring Respiratory Activity as Part of an Intelligent Model for Stress Assessment -- An Adaptive Network Model for Anorexia Nervosa: Addressing the Effects of Therapy -- ReVQ-VAE: A Vector Quantization-Variational Autoencoder for COVID-19 chest X-Ray image -- Ensemble Models and Data Fusion -- Credit Risk Scoring Using a Data Fusion Approach -- Goal-oriented Classification of Football Results -- Learning from Imbalanced Data Streams Using Rotation-based Ensemble Classifiers -- DE-Forest – optimized decision tree ensemble -- Mining multiple class imbalanced datasets using a specialized balancing algorithm and the Adaboost technique -- Investigation and prediction of Cognitive Load During Memory and Arithmetic Tasks.
Record Nr. UNISA-996550558803316
Nguyen Ngoc Thanh  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
Autore Nguyen Ngoc Thanh
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (859 pages)
Disciplina 006.3
Altri autori (Persone) BotzheimJános
GulyásLászló
NúñezManuel
TreurJan
VossenGottfried
KozierkiewiczAdrianna
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Data structures (Computer science)
Information theory
Computer science
Artificial Intelligence
Computer Engineering and Networks
Computer Communication Networks
Data Structures and Information Theory
Theory of Computation
ISBN 9783031414565
303141456X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Collective Intelligence and Collective Decision-Making -- Hybrid Genetic Algorithms to Determine 2-Optimality Consensus for a Collective of Ordered Partitions -- From Fragmented Data to Collective Intelligence: A Data Fabric Approach for University Knowledge Management -- An Architecture for Enabling Collective Intelligence in IoT Networks -- Self-Organizing Maps for Data Purchase Support in Data Marketplaces -- Agent based model of elementary school group learning – a case study -- Deep Learning Techniques -- Deep Reinforcement Learning for Jointly Resource Allocation and Trajectory Planning in UAV-assisted Networks -- DNGAE: Deep Neighborhood Graph Autoencoder for robust blind hyperspectral unmixing -- Unlocking the Potential of Deep Learning and Filter Gabor for Facial Emotion Recognition -- Graph Convolution Collaborative Filtering with Dense Embeddings -- Automatic Quantization for Convolutional Neural Networks Based on Enhanced Bare-BonesParticle Swarm Optimization for Chest X-ray Image Classification -- A Convolutional Autoencoder Approach for Weakly Supervised Anomaly Video Detection -- Sparsity-invariant Convolution for Forecasting Irregularly Sampled Time Series -- Efficient Sparse Networks from Watts-Strogatz Network Priors -- Natural Language Processing -- Exploring the Role of Monolingual Data in Cross-Attention Pre-Training for Neural Machine Translation -- Development of a dictionary for preschool children with weak speech skills based on the Word2Vec method -- An abstractive automatic summarization approach based on a text comprehension model of cognitive psychology -- Detecting Duplicate Multiple Choice Questions in The Large Question Bank -- A Context-Aware Approach for Improving Dialog Act Detection in a Multilingual Conversational Platform -- Data Minning and Machine learning -- Efficient Association Rules Minimization Using a Double-Stage Quine-McCluskey-Based Approach -- Complexity-Based Code Embeddings -- Differentially Private Copulas, DAG and Hybrid Methods: a Comprehensive Data Utility Study -- Analysing Android Apps Classification and Categories Validation by using Latent Dirichlet Allocation -- Staircase Recognition based on Possibilistic Feature Quality Assessment Method -- Social Networks and Intelligent Systems -- Toward effective link prediction based on local information in organizational social networks -- A new topic modeling method for tweets comparison -- Measuring gender: A machine learning approach to social media demographics and author profiling -- Crisis Detection by Social and Remote Sensing Fusion: A selective Attention Approach -- Educational Videos Recommendation System Based On Topic Modeling -- Cybersecurity, Blockchain Technology and Internet of Things -- A Two-hop Neighborhood Based Berserk Detection Algorithm for Probabilistic Model of Consensus in Distributed Ledger Systems -- Trust Assessment on Data Stream Imputation in IoT Environments -- Optimizing Merkle Tree Structure for Blockchain transactions by a DC Programming approach -- Wearable Tag for Indoor Localization in the context of Ambient Assisted Living -- Hyperledger blockchain-enabled cold chain application for flower logistics -- A Fully Decentralized Privacy-Enabled Federated Learning System -- Cooperative Strategies for Decision Making and Optimization -- Two-dimensional Pheromone in Ant Colony Optimization -- Analysis of different reinsertion strategies in Steady State Genetic Algorithm -- Traffic Optimization by Local Bacterial Memetic Algorithm -- Optimizing Fire Control Monitoring System in Smart Cities -- Computational Intelligence for Digital Content Understanding -- Desertification Detection in Satellite Images using Siamese Variational Autoencoder with Transfer Learning -- Speaker Identification Enhancement Using Emotional Features -- Classification of punches in Olympic boxing using static RGB cameras -- Learning Human Postures using Lab-Depth HOG Descriptors -- SemiMemes: A Semi-supervised Learning Approach for Multimodal Memes Analysis -- Extrinsic Calibration Framework for Camera-Lidar Fusion using Recurrent Residual Network -- GAN-based Data Augmentation and Pseudo-Label Refinement for Unsupervised Domain Adaptation Person Re-Identification -- Intelligent Automated Pancreas Segmentation using U-Net Model Variants -- Knowledge Engineering and Apllication for Industry 4.0 -- Energy and Congestion Awareness Traffic Scheduling in Hybrid Software-Defined Network with Flow Splitting -- "Is Proton good enough?" - a performance comparison between gaming on Windows and Linux -- Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas -- Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas -- Complex layers of ranked prognostic models -- Project Team Members competences configuration: a proactive and reactive approach -- Computational Intelligence in Medical Applications -- Teeth disease recognition based on X-ray images -- Predicting Alzheimer’s Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort -- MEP: A Comprehensive Medicines Extraction System on Prescriptions -- New Approaches to Monitoring Respiratory Activity as Part of an Intelligent Model for Stress Assessment -- An Adaptive Network Model for Anorexia Nervosa: Addressing the Effects of Therapy -- ReVQ-VAE: A Vector Quantization-Variational Autoencoder for COVID-19 chest X-Ray image -- Ensemble Models and Data Fusion -- Credit Risk Scoring Using a Data Fusion Approach -- Goal-oriented Classification of Football Results -- Learning from Imbalanced Data Streams Using Rotation-based Ensemble Classifiers -- DE-Forest – optimized decision tree ensemble -- Mining multiple class imbalanced datasets using aspecialized balancing algorithm and the Adaboost technique -- Investigation and prediction of Cognitive Load During Memory and Arithmetic Tasks.
Record Nr. UNINA-9910746086503321
Nguyen Ngoc Thanh  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui