Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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. | UNINA-9910746295203321 |
Nguyen Ngoc Thanh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| ||
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 | ||
| ||
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. | UNINA-9910746086503321 |
|
Nguyen Ngoc Thanh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models [[electronic resource] /] / edited by Gülay Canbaloğlu, Jan Treur, Anna Wiewiora
| Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models [[electronic resource] /] / edited by Gülay Canbaloğlu, Jan Treur, Anna Wiewiora |
| Autore | Canbaloğlu Gülay |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (512 pages) |
| Disciplina | 658.3124 |
| Altri autori (Persone) |
TreurJan
WiewioraAnna |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Computational intelligence
Engineering mathematics Computer simulation Computational Intelligence Engineering Mathematics Computer Modelling |
| ISBN | 3-031-28735-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On Computational Analysis and Simulation for Multilevel Organizational Learning -- Multilevel Organisational Learning -- Modeling Dynamics, Adaptivity and Control by Self-Modeling Networks -- Modeling Mental Models: their Use, Adaptation and Control -- From Conceptual to Computational Mechanisms for Multilevel Organisational Learning -- Using Self-Modeling Networks to Model Organisational Learning. |
| Record Nr. | UNINA-9910731462803321 |
|
Canbaloğlu Gülay
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Contemporary Challenges and Solutions in Applied Artificial Intelligence [[electronic resource] /] / edited by Moonis Ali, Tibor Bosse, Koen V. Hindriks, Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur
| Contemporary Challenges and Solutions in Applied Artificial Intelligence [[electronic resource] /] / edited by Moonis Ali, Tibor Bosse, Koen V. Hindriks, Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (X, 226 p. 74 illus.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-00651-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cognitive Modeling -- Distributed Systems and Networks -- Evolutionary Algorithms -- Knowledge Representation and Reasoning -- Machine Learning Applications -- Optimization -- Pattern Recognition -- Problem Solving -- Robotics -- Special Session. |
| Record Nr. | UNINA-9910437897203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Recent Trends in Applied Artificial Intelligence [[electronic resource] ] : 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, Amsterdam, The Netherlands, June 17-21, 2013, Proceedings / / edited by Moonis Ali, Tibor Bosse, Koen V. Hindriks, Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur
| Recent Trends in Applied Artificial Intelligence [[electronic resource] ] : 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, Amsterdam, The Netherlands, June 17-21, 2013, Proceedings / / edited by Moonis Ali, Tibor Bosse, Koen V. Hindriks, Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XX, 697 p. 279 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Algorithms Data mining Optical data processing Computer science Artificial Intelligence Information Systems Applications (incl. Internet) Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Computer Science, general |
| ISBN | 3-642-38577-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Auctions and Negotiation -- Developing Online Double Auction Mechanism for Fishery Markets -- A Mediator-Based Agent Negotiation Protocol for Utilities That Change with Time -- Cognitive Modeling -- Learning Parameters for a Cognitive Model on Situation Awareness -- Fostering Social Interaction of Home-Bound Elderly People: The EasyReach System -- Cooperative Games with Incomplete Information among Secondary Base Stations in Cognitive Radio Networks -- Crowd Behavior Modeling -- Ant Colony Optimisation for Planning Safe Escape Routes -- A Spatio-Temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning -- Predicting Human Behavior in Crowds: Cognitive Modeling versus Neural Networks -- Distributed Systems and Networks -- Analyzing Grid Log Data with Affinity Propagation -- Using Ising Model to Study Distributed Systems Processing Capability -- Evolutionary Algorithms -- Computing the Consensus Permutation in Mallows Distribution by Using Genetic Algorithms -- A Hybrid Genetic Algorithm for the Maximum Satisfiability Problem -- Knowledge Representation and Reasoning -- An Object Representation Model Based on the Mechanism of Visual Perception -- Web Metadata Extraction and Semantic Indexing for Learning Objects Extraction -- Pattern Recognition -- Approximately Recurring Motif Discovery Using Shift Density Estimation -- An Online Anomalous Time Series Detection Algorithm for Univariate Data Streams.-Assisting Web Site Navigation through Web Usage Patterns -- Planning -- GRASPing Examination Board Assignments for University-Entrance Exams -- A Greedy Look-Ahead Heuristic for the Container Relocation Problem -- Integrating Planning and Scheduling in the ISS Fluid Science Laboratory Domain -- Efficient Identification of Energy-Optimal Switching and Operating Sequences for Modular Factory Automation Systems -- Problem Solving -- The Two-Dimensional Vector Packing Problem with Courier Cost Structure -- Penguins Search Optimization Algorithm (PeSOA) -- A Bidirectional Building Approach for the 2D Guillotine Knapsack-Packing Problem -- Increasing the Antibandwidth of Sparse Matrices by a Genetic Algorithm.-A New GA-Based Method for Temporal Constraint Problems -- On Using the Theory of Regular Functions to Prove the Optimality of the Continuous Pursuit Learning Automaton -- Robotics -- Online Exploratory Behavior Acquisition of Mobile Robot Based on Reinforcement Learning -- Improved Sound Source Localization and Front-Back Disambiguation for Humanoid Robots with Two Ears -- Designing and Optimization of Omni-Directional Kick for Bipedal Robots -- Aerial Service Vehicles for Industrial Inspection: Task Decomposition and Plan Execution.-A BSO-Based Algorithm for Multi-robot and Multi-target Search -- Text Mining -- Economic Sentiment: Text-Based Prediction of Stock Price Movements with Machine Learning and WordNet -- Feature Extraction Using Single Variable Classifiers for Binary Text Classification -- An Approach to Automated Learning of Conceptual Graphs from Text -- Semi-supervised Latent Dirichlet Allocation for Multi-label Text Classification -- Special Session on Advances in Recommender Systems -- Recommending Interest Groups to Social Media Users by Incorporating Heterogeneous Resources -- Recent Advances in Recommendation Systems for Software Engineering -- WE-DECIDE: A Decision Support Environment for Groups of Users -- Special Session on Business Process Intelligence Logic-Based Incremental Process Mining in Smart Environments -- Information Mining Processes Based on Intelligent Systems -- Customer Churn Detection System: Identifying Customers Who Wish to Leave a Merchant -- Special Session on Decision Support for Safety related Systems Hazard Identification of the Offshore Three-Phase Separation Process Based on Multilevel Flow Modeling and HAZOP -- Multilevel Flow Modeling Based Decision Support System and Its Task Organization -- Simulation-Based Fault Propagation Analysis – Application on Hydrogen Production Plant -- Automatic Decomposition and Allocation of Safety Integrity Levels Using a Penalty-Based Genetic Algorithm -- HAZOP Analysis System Compliant with Equipment Models Based on SDG -- Special Session on Innovations in Intelligent Computation and Applications -- TAIEX Forecasting Based on Fuzzy Time Series and Technical Indices Analysis of the Stock Market -- Hierarchical Gradient Diffusion Algorithm for Wireless Sensor Networks -- Constructing a Diet Recommendation System Based on Fuzzy Rules and Knapsack Method -- An Intelligent Stock-Selecting System Based on Decision Tree Combining Rough Sets Theory -- Cloud-Based LED Light Management System and Implementation Based-on Wireless Communication -- A Study on Online Game Cheating and the Effective Defense -- Credit Rating Analysis with Support Vector Machines and Artificial Bee Colony Algorithm -- An ACO Algorithm for the 3D Bin Packing Problem in the Steel Industry -- Special Session on Intelligent Image and Signal Processing Controlling Search Using an S Decreasing Constriction Factor for Solving Multi-mode Scheduling Problems -- Extracting Blood Vessel in Sclera-Conjunctiva Image Based on Fuzzy C-means and Modified Cone Responses -- A Spherical Coordinate Based Fragile Watermarking Scheme for 3D Models - Palm Image Recognition Using Image Processing Techniques -- Liver Cell Nucleuses and Vacuoles Segmentation by Using Genetic Algorithms for the Tissue Images -- Mouth Location Based on Face Mask and Projection -- Environmental Background Sounds Classification Based on Properties of Feature Contours -- On the Prediction of Floor Identification Credibility in RSS-Based Positioning Techniques -- A Study of Vessel Origin Detection on Retinal Images -- The Tires Worn Monitoring Prototype System Using Image Clustering Technology -- Quality Assessment Model for Critical Manufacturing Process of Crystal Oscillator -- Local Skew Estimation in Moving Business Cards -- Special Session on Machine Learning Methods -- Applied to Manufacturing Processes and Production Systems Imbalanced Learning Ensembles for Defect Detection in X-Ray Images -- Improvements in Modelling of Complex Manufacturing Processes Using Classification Techniques -- A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks -- Estimating the Maximum Shear Modulus with Neural Networks. |
| Record Nr. | UNISA-996466281803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Recent Trends in Applied Artificial Intelligence [[electronic resource] ] : 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, Amsterdam, The Netherlands, June 17-21, 2013, Proceedings / / edited by Moonis Ali, Tibor Bosse, Koen V. Hindriks, Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur
| Recent Trends in Applied Artificial Intelligence [[electronic resource] ] : 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, Amsterdam, The Netherlands, June 17-21, 2013, Proceedings / / edited by Moonis Ali, Tibor Bosse, Koen V. Hindriks, Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XX, 697 p. 279 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Algorithms Data mining Optical data processing Computer science Artificial Intelligence Information Systems Applications (incl. Internet) Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Computer Science, general |
| ISBN | 3-642-38577-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Auctions and Negotiation -- Developing Online Double Auction Mechanism for Fishery Markets -- A Mediator-Based Agent Negotiation Protocol for Utilities That Change with Time -- Cognitive Modeling -- Learning Parameters for a Cognitive Model on Situation Awareness -- Fostering Social Interaction of Home-Bound Elderly People: The EasyReach System -- Cooperative Games with Incomplete Information among Secondary Base Stations in Cognitive Radio Networks -- Crowd Behavior Modeling -- Ant Colony Optimisation for Planning Safe Escape Routes -- A Spatio-Temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning -- Predicting Human Behavior in Crowds: Cognitive Modeling versus Neural Networks -- Distributed Systems and Networks -- Analyzing Grid Log Data with Affinity Propagation -- Using Ising Model to Study Distributed Systems Processing Capability -- Evolutionary Algorithms -- Computing the Consensus Permutation in Mallows Distribution by Using Genetic Algorithms -- A Hybrid Genetic Algorithm for the Maximum Satisfiability Problem -- Knowledge Representation and Reasoning -- An Object Representation Model Based on the Mechanism of Visual Perception -- Web Metadata Extraction and Semantic Indexing for Learning Objects Extraction -- Pattern Recognition -- Approximately Recurring Motif Discovery Using Shift Density Estimation -- An Online Anomalous Time Series Detection Algorithm for Univariate Data Streams.-Assisting Web Site Navigation through Web Usage Patterns -- Planning -- GRASPing Examination Board Assignments for University-Entrance Exams -- A Greedy Look-Ahead Heuristic for the Container Relocation Problem -- Integrating Planning and Scheduling in the ISS Fluid Science Laboratory Domain -- Efficient Identification of Energy-Optimal Switching and Operating Sequences for Modular Factory Automation Systems -- Problem Solving -- The Two-Dimensional Vector Packing Problem with Courier Cost Structure -- Penguins Search Optimization Algorithm (PeSOA) -- A Bidirectional Building Approach for the 2D Guillotine Knapsack-Packing Problem -- Increasing the Antibandwidth of Sparse Matrices by a Genetic Algorithm.-A New GA-Based Method for Temporal Constraint Problems -- On Using the Theory of Regular Functions to Prove the Optimality of the Continuous Pursuit Learning Automaton -- Robotics -- Online Exploratory Behavior Acquisition of Mobile Robot Based on Reinforcement Learning -- Improved Sound Source Localization and Front-Back Disambiguation for Humanoid Robots with Two Ears -- Designing and Optimization of Omni-Directional Kick for Bipedal Robots -- Aerial Service Vehicles for Industrial Inspection: Task Decomposition and Plan Execution.-A BSO-Based Algorithm for Multi-robot and Multi-target Search -- Text Mining -- Economic Sentiment: Text-Based Prediction of Stock Price Movements with Machine Learning and WordNet -- Feature Extraction Using Single Variable Classifiers for Binary Text Classification -- An Approach to Automated Learning of Conceptual Graphs from Text -- Semi-supervised Latent Dirichlet Allocation for Multi-label Text Classification -- Special Session on Advances in Recommender Systems -- Recommending Interest Groups to Social Media Users by Incorporating Heterogeneous Resources -- Recent Advances in Recommendation Systems for Software Engineering -- WE-DECIDE: A Decision Support Environment for Groups of Users -- Special Session on Business Process Intelligence Logic-Based Incremental Process Mining in Smart Environments -- Information Mining Processes Based on Intelligent Systems -- Customer Churn Detection System: Identifying Customers Who Wish to Leave a Merchant -- Special Session on Decision Support for Safety related Systems Hazard Identification of the Offshore Three-Phase Separation Process Based on Multilevel Flow Modeling and HAZOP -- Multilevel Flow Modeling Based Decision Support System and Its Task Organization -- Simulation-Based Fault Propagation Analysis – Application on Hydrogen Production Plant -- Automatic Decomposition and Allocation of Safety Integrity Levels Using a Penalty-Based Genetic Algorithm -- HAZOP Analysis System Compliant with Equipment Models Based on SDG -- Special Session on Innovations in Intelligent Computation and Applications -- TAIEX Forecasting Based on Fuzzy Time Series and Technical Indices Analysis of the Stock Market -- Hierarchical Gradient Diffusion Algorithm for Wireless Sensor Networks -- Constructing a Diet Recommendation System Based on Fuzzy Rules and Knapsack Method -- An Intelligent Stock-Selecting System Based on Decision Tree Combining Rough Sets Theory -- Cloud-Based LED Light Management System and Implementation Based-on Wireless Communication -- A Study on Online Game Cheating and the Effective Defense -- Credit Rating Analysis with Support Vector Machines and Artificial Bee Colony Algorithm -- An ACO Algorithm for the 3D Bin Packing Problem in the Steel Industry -- Special Session on Intelligent Image and Signal Processing Controlling Search Using an S Decreasing Constriction Factor for Solving Multi-mode Scheduling Problems -- Extracting Blood Vessel in Sclera-Conjunctiva Image Based on Fuzzy C-means and Modified Cone Responses -- A Spherical Coordinate Based Fragile Watermarking Scheme for 3D Models - Palm Image Recognition Using Image Processing Techniques -- Liver Cell Nucleuses and Vacuoles Segmentation by Using Genetic Algorithms for the Tissue Images -- Mouth Location Based on Face Mask and Projection -- Environmental Background Sounds Classification Based on Properties of Feature Contours -- On the Prediction of Floor Identification Credibility in RSS-Based Positioning Techniques -- A Study of Vessel Origin Detection on Retinal Images -- The Tires Worn Monitoring Prototype System Using Image Clustering Technology -- Quality Assessment Model for Critical Manufacturing Process of Crystal Oscillator -- Local Skew Estimation in Moving Business Cards -- Special Session on Machine Learning Methods -- Applied to Manufacturing Processes and Production Systems Imbalanced Learning Ensembles for Defect Detection in X-Ray Images -- Improvements in Modelling of Complex Manufacturing Processes Using Classification Techniques -- A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks -- Estimating the Maximum Shear Modulus with Neural Networks. |
| Record Nr. | UNINA-9910483967903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||