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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. | 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 Collective Intelligence : 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022, Proceedings
| Computational Collective Intelligence : 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022, Proceedings |
| Autore | Nguyen Ngoc Thanh (Computer scientist) |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
| Descrizione fisica | 1 online resource (863 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ManolopoulosYannis
ChbeirRichard KozierkiewiczAdrianna TrawińskiBogdan |
| Collana | Lecture Notes in Computer Science |
| Soggetto non controllato | Science |
| ISBN | 3-031-16014-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Collective Intelligence and Collective Decision-Making -- Inferring Event Causality in Films via Common Knowledge Corpora -- 1 Introduction -- 1.1 Background -- 1.2 Research Objectives and Contributions -- 2 Background and Related Work -- 2.1 Event Causality in Films -- 2.2 Computational Methods -- 3 Event Causality Inference System -- 4 Evaluation Experiments -- 5 Discussion -- References -- Cooperation Game on Communication Multigraph with Fuzzy Parameters -- 1 Introduction -- 2 Preliminaries -- 3 Concept of the FUZZY Value of the Sub-additive Cooperative Game on Communication Multigraph with Fuzzy Capacities -- 4 Concept of the FUZZY Value of the Sub-additive Cooperative Game on Communication Multigraph with Fuzzy Capacities and Fuzzy Goal -- 5 Conclusions and Future Works -- References -- Impact of Similarity Measure on the Quality of Communities Detected in Social Network by Hierarchical Clustering -- 1 Introduction -- 2 Organizational Social Networks -- 3 Community Detection Problem -- 4 Hierarchical Clustering Approach to the Community Detection -- 4.1 Hierarchical Clustering -- 4.2 Similarity Measures in Social Networks -- 4.3 Hierarchical Clustering Approach to the Community Detection in Organizational Social Network -- 5 Computational Experiment -- 6 Conclusions -- References -- An Approach to Modeling a Real-Time Updated Environment Based on Messages from Agents -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Environment Model Assumptions -- 3.2 Environment Model -- 4 Case Study: AriaDNA Life System -- 4.1 Space and Dimensions -- 4.2 Entity Types -- 4.3 Messages -- 4.4 Interactions -- 5 Summary -- References -- Updating the Result Ontology Integration at the Concept Level in the Event of the Evolution of Their Components -- 1 Introduction -- 2 Related Works.
3 Basic Notions -- 4 Methods of Updating Integrated Ontologies -- 4.1 Updating Results of Ontology Integration After Concept Removal -- 4.2 Updating Results of Ontology Integration After Adding New Concepts -- 4.3 Updating Results of Ontology Integration After Concepts Modification -- 5 Experimental Evaluation -- 6 Summary -- References -- Integrating Machine Learning into Learner Profiling for Adaptive and Gamified Learning System -- 1 Introduction -- 2 Proposed Method -- 2.1 Functional Architecture -- 3 Experimentation and Results -- 3.1 Used Method -- 3.2 Results -- 4 Conclusion -- References -- Deep Learning Techniques -- A New Deep Learning Fusion Approach for Emotion Recognition Based on Face and Text -- 1 Introduction -- 2 Facial-Textual Emotion Recognition (FTxER) Architecture -- 3 Results and Discussion -- 4 Conclusion and Future Work -- References -- Cycle Route Signs Detection Using Deep Learning -- 1 Introduction -- 2 Problem Definition -- 2.1 Car License Plate Recognition and Reading -- 2.2 Real-time Traffic Sign Detection Using CNN -- 3 Solution -- 3.1 YOLO -- 3.2 OCR -- 4 Implementation -- 4.1 Technologies Used -- 4.2 Data Training -- 4.3 Applications -- 5 Testing of Developed Application -- 6 Conclusion -- References -- Data Augmentation for Morphological Analysis of Histopathological Images Using Deep Learning -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Methods -- 2.3 Morphing Concept -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- An End-to-End Framework for Evaluating Explainable Deep Models: Application to Historical Document Image Segmentation -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 4 Experiments and Results -- 4.1 Experimental Corpus -- 4.2 Implementation Details -- 4.3 Results -- 5 Conclusions and Further Work -- References. Deep Convolutional Neural Network for Arabic Speech Recognition -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Proposed System -- 3.1 Convolutional Neural Network (CNN) -- 3.2 LSTM -- 4 Experimental Results and Discussion -- 4.1 Datasets and Input Features -- 4.2 Results and Discussion -- 5 Conclusion and Future Works -- References -- RingNet: Geometric Deep Representation Learning for 3D Multi-domain Protein Shape Retrieval -- 1 Introduction -- 2 Related Works -- 3 RingNet Neural Network -- 3.1 Descriptors Calculation -- 3.2 RingNet Layer -- 3.3 Fusion Layer -- 4 Experimental Results -- 4.1 Dataset and Metrics -- 4.2 3D Protein Shape Classification -- 4.3 3D Protein Shape Retrieval -- 5 Conclusion -- References -- Patch Selection for Melanoma Classification -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Description and Preprocessing -- 2.2 Entropy -- 2.3 Mean Exhaustive Minimum Distance (MEMD) Criterion -- 2.4 Network Architecture -- 3 Experimental Results -- 4 Conclusion -- References -- Natural Language Processing -- Multi-model Analysis of Language-Agnostic Sentiment Classification on MultiEmo Data -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Pipeline -- 3.2 MultiEmo Dataset -- 3.3 Scenarios -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- Sentiment Analysis of Tunisian Users on Social Networks: Overcoming the Challenge of Multilingual Comments in the Tunisian Dialect -- Abstract -- 1 Introduction -- 2 Specificities of Tunisian Dialect Sentiment Analysis -- 2.1 The Use of Multilingual Vocabulary -- 2.2 The Phenomenon of Linguistic Code-switching -- 3 Background and Related Work -- 3.1 Arabic Dialects Sentiment Analysis -- 3.2 Tunisian Dialect Sentiment Analysis -- 3.3 Discussion -- 4 Proposed Methodology -- 4.1 Data Collection -- 4.2 Data Preprocessing -- 4.3 Model Training. 5 Experiments and Results -- 5.1 Baseline -- 5.2 Dataset -- 5.3 Experimental Results -- 5.4 Discussion -- 6 Conclusion -- Acknowledgment -- References -- Non-Contextual vs Contextual Word Embeddings in Multiword Expressions Detection -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 3.1 Non-Contextual Dataset -- 3.2 Contextual Dataset -- 4 Methods for Multiword Expression Detection -- 5 Experiments -- 6 Results -- 7 Discussion -- 8 Conclusions and Future Work -- References -- Context-free Transformer-based Generative Lemmatiser for Polish -- 1 Introduction -- 2 Related Works -- 2.1 Contextual Lemmatisation -- 2.2 Context-free Lemmatisation -- 2.3 Lemmatisation for the Polish Language -- 3 Problem Description -- 4 Architecture -- 4.1 Transformer-based Lemmatiser -- 5 Experiments -- 6 Conclusions -- References -- French Object Clitics in the Interlanguage: A Linguistic Description and a Formal Analysis in the ACCG Framework -- 1 Introduction -- 2 Interlanguage -- 2.1 The Concept -- 2.2 French Object Clitics in the Interlanguage -- 3 Applicative Combinatory Categorical Grammar -- 4 Object Clitics by Means of ACCG -- 5 Conclusion -- References -- Contradiction Detection Approach Based on Semantic Relations and Evidence of Uncertainty -- 1 Introduction -- 2 Related Work -- 3 Motivation and Proposed Model -- 3.1 Motivation -- 3.2 Description of the Approach -- 4 Semantic Construction of a Sentence -- 4.1 Pretreatment -- 4.2 Concept Extraction -- 4.3 Extraction of Uncertainty Expressions -- 4.4 Calculation of Degree of Uncertainty -- 4.5 Extraction of Binary Relations -- 5 Contradiction Assessment -- 5.1 Detection of Opposing Information -- 5.2 Detection of Contradiction -- 6 Experimental Evaluation -- 6.1 Test Environment -- 6.2 Experiments and Results -- 7 Conclusion -- References -- C-DESERT Score for Arabic Text Summary Evaluation -- Abstract. 1 Introduction -- 2 Related works -- 3 Proposed method -- 3.1 Document Embedding Model -- 3.2 Building the Doc2Vec Model -- 3.3 Features -- 3.4 Combination Scheme -- 4 Experiments -- 4.1 Data Sets -- 4.2 Result -- 5 Conclusion -- References -- Data Mining and Machine Learning -- Proficiency Level Classification of Foreign Language Learners Using Machine Learning Algorithms and Multilingual Models -- 1 Introduction -- 2 Related Works -- 3 Experiments -- 3.1 Datasets -- 3.2 Features -- 3.3 Methods -- 3.4 Tool Implementation -- 3.5 Experiment Scenarios -- 4 Results and Analysis -- 4.1 Experiment One -- 4.2 Experiment Two -- 4.3 Experiment Three -- 5 Conclusions -- References -- Simulation System for Producing Real World Dataset to Predict the Covid-19 Contamination Process⋆ -- 1 Introduction -- 2 Contact Tracing -- 2.1 GPS Accuracy -- 2.2 Bluetooth LE Distance Measurement -- 2.3 WiFi -- 2.4 Zigbee -- 2.5 Comparing Technologies -- 3 Dataset Collection -- 3.1 Simulating Real World Scene -- 4 Processing Data -- 4.1 Graph Modeling -- 4.2 Retrieving Basic Statistics -- 4.3 Graph Data Science Algorithms -- 5 Conclusion -- References -- Design and Compression Study for Convolutional Neural Networks Based on Evolutionary Optimization for Thoracic X-Ray Image Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 CNN Design -- 3.2 CNN Compression -- 4 Experiments -- 4.1 Expirement Configuration and Setup -- 4.2 Results and Discussion -- 5 Conclusion -- References -- TF-MOPNAS: Training-free Multi-objective Pruning-Based Neural Architecture Search -- 1 Introduction -- 2 Background and Related Works -- 2.1 Progressive Search Space Shrinking and Architecture Selection -- 2.2 Training-free Metrics in Pruning-based NAS -- 3 Training-free Multi-objective Pruning-based Neural Architecture Search -- 4 Experiments and Results. 4.1 Results on NAS-Bench-101. |
| Record Nr. | UNINA-9910595027103321 |
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Nguyen Ngoc Thanh (Computer scientist)
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| Cham : , : Springer International Publishing AG, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Collective Intelligence : 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022, Proceedings
| Computational Collective Intelligence : 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022, Proceedings |
| Autore | Nguyen Ngoc Thanh (Computer scientist) |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
| Descrizione fisica | 1 online resource (863 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ManolopoulosYannis
ChbeirRichard KozierkiewiczAdrianna TrawińskiBogdan |
| Collana | Lecture Notes in Computer Science |
| Soggetto non controllato | Science |
| ISBN | 3-031-16014-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Collective Intelligence and Collective Decision-Making -- Inferring Event Causality in Films via Common Knowledge Corpora -- 1 Introduction -- 1.1 Background -- 1.2 Research Objectives and Contributions -- 2 Background and Related Work -- 2.1 Event Causality in Films -- 2.2 Computational Methods -- 3 Event Causality Inference System -- 4 Evaluation Experiments -- 5 Discussion -- References -- Cooperation Game on Communication Multigraph with Fuzzy Parameters -- 1 Introduction -- 2 Preliminaries -- 3 Concept of the FUZZY Value of the Sub-additive Cooperative Game on Communication Multigraph with Fuzzy Capacities -- 4 Concept of the FUZZY Value of the Sub-additive Cooperative Game on Communication Multigraph with Fuzzy Capacities and Fuzzy Goal -- 5 Conclusions and Future Works -- References -- Impact of Similarity Measure on the Quality of Communities Detected in Social Network by Hierarchical Clustering -- 1 Introduction -- 2 Organizational Social Networks -- 3 Community Detection Problem -- 4 Hierarchical Clustering Approach to the Community Detection -- 4.1 Hierarchical Clustering -- 4.2 Similarity Measures in Social Networks -- 4.3 Hierarchical Clustering Approach to the Community Detection in Organizational Social Network -- 5 Computational Experiment -- 6 Conclusions -- References -- An Approach to Modeling a Real-Time Updated Environment Based on Messages from Agents -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Environment Model Assumptions -- 3.2 Environment Model -- 4 Case Study: AriaDNA Life System -- 4.1 Space and Dimensions -- 4.2 Entity Types -- 4.3 Messages -- 4.4 Interactions -- 5 Summary -- References -- Updating the Result Ontology Integration at the Concept Level in the Event of the Evolution of Their Components -- 1 Introduction -- 2 Related Works.
3 Basic Notions -- 4 Methods of Updating Integrated Ontologies -- 4.1 Updating Results of Ontology Integration After Concept Removal -- 4.2 Updating Results of Ontology Integration After Adding New Concepts -- 4.3 Updating Results of Ontology Integration After Concepts Modification -- 5 Experimental Evaluation -- 6 Summary -- References -- Integrating Machine Learning into Learner Profiling for Adaptive and Gamified Learning System -- 1 Introduction -- 2 Proposed Method -- 2.1 Functional Architecture -- 3 Experimentation and Results -- 3.1 Used Method -- 3.2 Results -- 4 Conclusion -- References -- Deep Learning Techniques -- A New Deep Learning Fusion Approach for Emotion Recognition Based on Face and Text -- 1 Introduction -- 2 Facial-Textual Emotion Recognition (FTxER) Architecture -- 3 Results and Discussion -- 4 Conclusion and Future Work -- References -- Cycle Route Signs Detection Using Deep Learning -- 1 Introduction -- 2 Problem Definition -- 2.1 Car License Plate Recognition and Reading -- 2.2 Real-time Traffic Sign Detection Using CNN -- 3 Solution -- 3.1 YOLO -- 3.2 OCR -- 4 Implementation -- 4.1 Technologies Used -- 4.2 Data Training -- 4.3 Applications -- 5 Testing of Developed Application -- 6 Conclusion -- References -- Data Augmentation for Morphological Analysis of Histopathological Images Using Deep Learning -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Methods -- 2.3 Morphing Concept -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- An End-to-End Framework for Evaluating Explainable Deep Models: Application to Historical Document Image Segmentation -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 4 Experiments and Results -- 4.1 Experimental Corpus -- 4.2 Implementation Details -- 4.3 Results -- 5 Conclusions and Further Work -- References. Deep Convolutional Neural Network for Arabic Speech Recognition -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Proposed System -- 3.1 Convolutional Neural Network (CNN) -- 3.2 LSTM -- 4 Experimental Results and Discussion -- 4.1 Datasets and Input Features -- 4.2 Results and Discussion -- 5 Conclusion and Future Works -- References -- RingNet: Geometric Deep Representation Learning for 3D Multi-domain Protein Shape Retrieval -- 1 Introduction -- 2 Related Works -- 3 RingNet Neural Network -- 3.1 Descriptors Calculation -- 3.2 RingNet Layer -- 3.3 Fusion Layer -- 4 Experimental Results -- 4.1 Dataset and Metrics -- 4.2 3D Protein Shape Classification -- 4.3 3D Protein Shape Retrieval -- 5 Conclusion -- References -- Patch Selection for Melanoma Classification -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Description and Preprocessing -- 2.2 Entropy -- 2.3 Mean Exhaustive Minimum Distance (MEMD) Criterion -- 2.4 Network Architecture -- 3 Experimental Results -- 4 Conclusion -- References -- Natural Language Processing -- Multi-model Analysis of Language-Agnostic Sentiment Classification on MultiEmo Data -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Pipeline -- 3.2 MultiEmo Dataset -- 3.3 Scenarios -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- Sentiment Analysis of Tunisian Users on Social Networks: Overcoming the Challenge of Multilingual Comments in the Tunisian Dialect -- Abstract -- 1 Introduction -- 2 Specificities of Tunisian Dialect Sentiment Analysis -- 2.1 The Use of Multilingual Vocabulary -- 2.2 The Phenomenon of Linguistic Code-switching -- 3 Background and Related Work -- 3.1 Arabic Dialects Sentiment Analysis -- 3.2 Tunisian Dialect Sentiment Analysis -- 3.3 Discussion -- 4 Proposed Methodology -- 4.1 Data Collection -- 4.2 Data Preprocessing -- 4.3 Model Training. 5 Experiments and Results -- 5.1 Baseline -- 5.2 Dataset -- 5.3 Experimental Results -- 5.4 Discussion -- 6 Conclusion -- Acknowledgment -- References -- Non-Contextual vs Contextual Word Embeddings in Multiword Expressions Detection -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 3.1 Non-Contextual Dataset -- 3.2 Contextual Dataset -- 4 Methods for Multiword Expression Detection -- 5 Experiments -- 6 Results -- 7 Discussion -- 8 Conclusions and Future Work -- References -- Context-free Transformer-based Generative Lemmatiser for Polish -- 1 Introduction -- 2 Related Works -- 2.1 Contextual Lemmatisation -- 2.2 Context-free Lemmatisation -- 2.3 Lemmatisation for the Polish Language -- 3 Problem Description -- 4 Architecture -- 4.1 Transformer-based Lemmatiser -- 5 Experiments -- 6 Conclusions -- References -- French Object Clitics in the Interlanguage: A Linguistic Description and a Formal Analysis in the ACCG Framework -- 1 Introduction -- 2 Interlanguage -- 2.1 The Concept -- 2.2 French Object Clitics in the Interlanguage -- 3 Applicative Combinatory Categorical Grammar -- 4 Object Clitics by Means of ACCG -- 5 Conclusion -- References -- Contradiction Detection Approach Based on Semantic Relations and Evidence of Uncertainty -- 1 Introduction -- 2 Related Work -- 3 Motivation and Proposed Model -- 3.1 Motivation -- 3.2 Description of the Approach -- 4 Semantic Construction of a Sentence -- 4.1 Pretreatment -- 4.2 Concept Extraction -- 4.3 Extraction of Uncertainty Expressions -- 4.4 Calculation of Degree of Uncertainty -- 4.5 Extraction of Binary Relations -- 5 Contradiction Assessment -- 5.1 Detection of Opposing Information -- 5.2 Detection of Contradiction -- 6 Experimental Evaluation -- 6.1 Test Environment -- 6.2 Experiments and Results -- 7 Conclusion -- References -- C-DESERT Score for Arabic Text Summary Evaluation -- Abstract. 1 Introduction -- 2 Related works -- 3 Proposed method -- 3.1 Document Embedding Model -- 3.2 Building the Doc2Vec Model -- 3.3 Features -- 3.4 Combination Scheme -- 4 Experiments -- 4.1 Data Sets -- 4.2 Result -- 5 Conclusion -- References -- Data Mining and Machine Learning -- Proficiency Level Classification of Foreign Language Learners Using Machine Learning Algorithms and Multilingual Models -- 1 Introduction -- 2 Related Works -- 3 Experiments -- 3.1 Datasets -- 3.2 Features -- 3.3 Methods -- 3.4 Tool Implementation -- 3.5 Experiment Scenarios -- 4 Results and Analysis -- 4.1 Experiment One -- 4.2 Experiment Two -- 4.3 Experiment Three -- 5 Conclusions -- References -- Simulation System for Producing Real World Dataset to Predict the Covid-19 Contamination Process⋆ -- 1 Introduction -- 2 Contact Tracing -- 2.1 GPS Accuracy -- 2.2 Bluetooth LE Distance Measurement -- 2.3 WiFi -- 2.4 Zigbee -- 2.5 Comparing Technologies -- 3 Dataset Collection -- 3.1 Simulating Real World Scene -- 4 Processing Data -- 4.1 Graph Modeling -- 4.2 Retrieving Basic Statistics -- 4.3 Graph Data Science Algorithms -- 5 Conclusion -- References -- Design and Compression Study for Convolutional Neural Networks Based on Evolutionary Optimization for Thoracic X-Ray Image Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 CNN Design -- 3.2 CNN Compression -- 4 Experiments -- 4.1 Expirement Configuration and Setup -- 4.2 Results and Discussion -- 5 Conclusion -- References -- TF-MOPNAS: Training-free Multi-objective Pruning-Based Neural Architecture Search -- 1 Introduction -- 2 Background and Related Works -- 2.1 Progressive Search Space Shrinking and Architecture Selection -- 2.2 Training-free Metrics in Pruning-based NAS -- 3 Training-free Multi-objective Pruning-based Neural Architecture Search -- 4 Experiments and Results. 4.1 Results on NAS-Bench-101. |
| Record Nr. | UNISA-996490360703316 |
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Nguyen Ngoc Thanh (Computer scientist)
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| Cham : , : Springer International Publishing AG, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Modern Approaches for Intelligent Information and Database Systems [[electronic resource] /] / edited by Andrzej Sieminski, Adrianna Kozierkiewicz, Manuel Nunez, Quang Thuy Ha
| Modern Approaches for Intelligent Information and Database Systems [[electronic resource] /] / edited by Andrzej Sieminski, Adrianna Kozierkiewicz, Manuel Nunez, Quang Thuy Ha |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 541 p. 197 illus., 162 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-76081-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Knowledge Engineering and Semantic Web -- A Three-stage Consensus-based Method for Collective Knowledge Determination -- Fuzzy Ontology Modeling by Utilizing Fuzzy Set and Fuzzy Description Logic -- An Approach for Recommending Group Experts on Question and Answering Sites -- A method for uncertainty elicitation of experts using belief function -- Storing Hypergraph-based Data Models in Non-hypergraph Data Storage -- Part II: Natural Language Processing and Text Mining -- A Fuzzy Logic Approach to Predict the Popularity of a Presidential Candidate -- DNA Sequences Representation Derived from Discrete Wavelet Transformation for Text Similarity Recognition -- Tweet integration by finding the shortest paths on a word graph -- Event detection in Twitter: Methodological Evaluation and Structural Analysis of the Bibliometric Data -- Combination of inner approach and context-based approach for extracting feature of medical record data -- A Novel Method to Predict Type for DBpedia Entity -- Context-Based Personalized Predictors of the Length of Written Responses to Open-ended Questions of Elementary School Students -- Part III: Machine Learning and Data Mining -- Robust Scale-Invariant Normalization and Similarity Measurement for Time Series Data. |
| Record Nr. | UNINA-9910299948503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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