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Computational Collective Intelligence : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
| Computational Collective Intelligence : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (415 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
FranczykBogdan
LudwigAndré NúñezManuel TreurJan VossenGottfried KozierkiewiczAdrianna |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Data structures (Computer science) Information theory Computer science Artificial Intelligence Computer Engineering and Networks Computer Communication Networks Data Structures and Information Theory Theory of Computation |
| ISBN | 3-031-70819-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Social Networks and Intelligent Systems. -- A deep learning approach to fine-grained political ideology classification on social media texts. -- Enhancing Social Network Trust with Improved EigenTrust Algorithm. -- An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research and Practice. -- Experimental Study on Link Prediction in Unweighted and Weighted Time-Evolving Organizational Social Network. -- Assessing Student Quality of Life: Analysis of Key Influential Factors. -- An Adaptive Network Model for Interpersonal Emotion Regulation in Multimodal Human-Bot Interaction. -- Cybersecurity, Blockchain Technology, and Internet of Things. -- Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning. -- Daily activities forecasting for long-term elderly behavior change detection. -- Detection of Fake Facial Images and Changes in Real Facial Images. -- TabGAN-powered Data Augmentation and Explainable Boosting-based Ensemble Learning for Intrusion Detection in Industrial Control Systems. -- Malware detection among contact tracing apps with deep learning. -- Cooperative Strategies for Decision Making and Optimization. -- Modeling the Functioning of Decision Trees Based on Decision Rule Systems by Greedy Algorithm. -- Delays in computing with parallel metaheuristics on HPC infrastructure. -- Reinforcement Learning-Based Cooperative Traffic Control System. -- Discovering Spatial Prevalent Co-location Patterns by Once Scanning Datasets without Generating Candidates. -- New results for some Tur´an problem instances obtained using the reinforcement learning technique. -- Computational Intelligence for Digital Content Understanding. -- Impact of acquisition parameters on the performance of radiomic systems. -- Feature Explainability and Enhancement for Skin Lesion Image Analysis. -- Toward Intelligent Ethnicity Recognition and Face Anonymization: An IncepX-Ensemble Model Approach. -- Weak Supervised Asphalt Pavement Segmentation. -- New Presence-Dependent Binary Similarity Measures for Pairwise Label Comparisons in Multi-label Classification. -- Synergistic Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures. -- Knowledge Engineering and Application for Industry 4.0. -- High learning hierarchical neural networks. -- A new method of detecting Alzheimer’s disease. -- GCC Aware Glaucoma Detection Using Macula OCT Image Analysis Based on Deep Convolutional Neural Networks. -- Understanding Geometric Relationship Concepts in Few-Shot Learning. -- Applicability criterion of the Non Overlapping Template Matching algorithm from NIST Statistical Test Suite SP800-22 for long aperiodic patterns. -- Enhanced Activity Recognition through Joint utilization of Decimal Descriptors and Temporal Binary Motions. -- Using Multilevel Temporal Factorisation to Analyse Structure and Dynamics for Higher-Order Adaptive and Evolutionary Processes. |
| Record Nr. | UNINA-9910886987303321 |
Nguyen Ngoc Thanh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Collective Intelligence : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
| Computational Collective Intelligence : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (418 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
FranczykBogdan
LudwigAndré NúñezManuel TreurJan VossenGottfried KozierkiewiczAdrianna |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Data structures (Computer science) Information theory Computer science Artificial Intelligence Computer Engineering and Networks Computer Communication Networks Data Structures and Information Theory Theory of Computation |
| ISBN | 3-031-70816-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Collective Intelligence and Collective Decision-Making. -- Collective Computational Intelligence – challenges and opportunities. -- Reward-based Hybrid Genetic Algorithm for Solving the Class Scheduling Problem. -- A Novel Multi-Criteria Approach Supporting Strong Sustainability Assessment. -- Enhancing Focused Ant Colony Optimization for Large-Scale Traveling Salesman Problems through Adaptive Parameter Tuning. -- Parallelized Population-based Multi-heuristic Approach for Solving RCPSP and MRCPSP Instances. -- A Collective Intelligence To Predict Stock Market Indices Applying An Optimized Hybrid Ensemble Learning Model. -- Deep Learning Techniques. -- Melanoma detection using CBR approach within a possibilistic framework. -- GANet - Learning tabular data using global attention. -- COVID-19 Detection based on Deep Features and SVM. -- Hybrid Convolutional Network Fusion: Enhanced Medical Image Classification with Dual-Pathway Learning from Raw and Enhanced Visual Features. -- Interpreting results of VGG-16 for COVID-19 diagnosis on CT images. -- A hybrid approach using 2D CNN and attention-based LSTM for Parkinson’s Disease Detection from video. -- Improved CNN Model Stability and Robustness with Video Frame Segmentation. -- Deep Learning for Cardiac Diseases Classification. -- Natural Language Processing. -- BABot: a Framework for the LLM-based Chatbot Supporting Business Analytics in e-Commerce. -- BioBERT for Multiple knowledge-based question expansion and biomedical extractive question answering. -- AMAMP: A Two-Phase Adaptive Multi-hop Attention Message Passing Mechanism For Logical Reasoning Machine Reading Comprehension. -- Enhancing Low-Resource NER via Knowledge Transfer from LLM. -- Efficient Argument Classification with Compact Language Models and ChatGPT-4 Refinements. -- Refining Natural Language Inferences using Cross-Document Structure Theory. -- Data Mining and Machine Learning. -- Intelligent Handling of Noise in Federated Learning with Co-training for Enhanced Diagnostic Precision. -- Detection and Classification of olive leaves diseases using machine learning algorithms. -- Investigation of Machine Learning and Deep Learning Approaches for Early PM2.5 Forecasting: A Case Study in Vietnam. -- Detection of candidate skills from job offers and comparison with ESCO database. -- Multi-objective and Randomly Distributed Fuzzy Logic-based Unequal Clustering in Heterogeneous Wireless Sensor Networks. -- nMITP-Miner: An efficient method for mining frequent maximal inter-transaction patterns. -- A heterogeneous ensemble of classifiers for sports betting: based on the English Premier League. -- The New K-Means Initialization Method. -- Efficiently discover multi-level maximal high-utility patterns from hierarchical databases. |
| Record Nr. | UNINA-9910886988403321 |
|
Nguyen Ngoc Thanh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
| Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (859 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
BotzheimJános
GulyásLászló NúñezManuel TreurJan VossenGottfried KozierkiewiczAdrianna |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Data structures (Computer science) Information theory Computer science Artificial Intelligence Computer Engineering and Networks Computer Communication Networks Data Structures and Information Theory Theory of Computation |
| ISBN | 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 [[electronic resource] ] : 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part II / / edited by Manuel Núñez, Ngoc Thanh Nguyen, David Camacho, Bogdan Trawiński
| Computational Collective Intelligence [[electronic resource] ] : 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part II / / edited by Manuel Núñez, Ngoc Thanh Nguyen, David Camacho, Bogdan Trawiński |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXII, 661 p. 220 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Application software Information storage and retrieval Algorithms Education—Data processing Artificial Intelligence Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Information Storage and Retrieval Algorithm Analysis and Problem Complexity Computers and Education |
| ISBN | 3-319-24306-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multi-agent systems -- Social networks and NLP -- Sentiment analysis.-Computational intelligence and games -- Ontologies and information extraction.-Formal methods and simulation -- Neural networks, SMT and MIS -- Collective intelligence in Web systems – Web systems analysis -- Computational swarm intelligence -- Cooperative strategies for decision making and optimization.-Advanced networking and security technologies -- IT in biomedicine -- Collective computational intelligence in educational context -- Science intelligence and data analysis -- Computational intelligence in financial markets -- Ensemble learning -- Big data mining and searching. |
| Record Nr. | UNISA-996466319403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Collective Intelligence [[electronic resource] ] : 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part I / / edited by Manuel Núñez, Ngoc Thanh Nguyen, David Camacho, Bogdan Trawiński
| Computational Collective Intelligence [[electronic resource] ] : 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part I / / edited by Manuel Núñez, Ngoc Thanh Nguyen, David Camacho, Bogdan Trawiński |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXVIII, 515 p. 140 illus. in color.) |
| Disciplina | 006.33 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Application software Information storage and retrieval Algorithms Education—Data processing Artificial Intelligence Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Information Storage and Retrieval Algorithm Analysis and Problem Complexity Computers and Education |
| ISBN | 3-319-24069-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multi-agent systems -- Social networks and NLP -- Sentiment analysis -- Computational intelligence and games -- Ontologies and information extraction -- Formal methods and simulation -- Neural networks, SMT and MIS -- Collective intelligence in Web systems – Web systems analysis.-Computational swarm intelligence -- Cooperative strategies for decision making and optimization.-Advanced networking and security technologies -- IT in biomedicine -- Collective computational intelligence in educational context -- Science intelligence and data analysis -- Computational intelligence in financial markets -- Ensemble learning -- Big data mining and searching. |
| Record Nr. | UNISA-996466468603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Collective Intelligence : 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part II / / edited by Manuel Núñez, Ngoc Thanh Nguyen, David Camacho, Bogdan Trawiński
| Computational Collective Intelligence : 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part II / / edited by Manuel Núñez, Ngoc Thanh Nguyen, David Camacho, Bogdan Trawiński |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXII, 661 p. 220 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Application software Information storage and retrieval Algorithms Education—Data processing Artificial Intelligence Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Information Storage and Retrieval Algorithm Analysis and Problem Complexity Computers and Education |
| ISBN | 3-319-24306-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multi-agent systems -- Social networks and NLP -- Sentiment analysis.-Computational intelligence and games -- Ontologies and information extraction.-Formal methods and simulation -- Neural networks, SMT and MIS -- Collective intelligence in Web systems – Web systems analysis -- Computational swarm intelligence -- Cooperative strategies for decision making and optimization.-Advanced networking and security technologies -- IT in biomedicine -- Collective computational intelligence in educational context -- Science intelligence and data analysis -- Computational intelligence in financial markets -- Ensemble learning -- Big data mining and searching. |
| Record Nr. | UNINA-9910483070103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Collective Intelligence : 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part I / / edited by Manuel Núñez, Ngoc Thanh Nguyen, David Camacho, Bogdan Trawiński
| Computational Collective Intelligence : 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part I / / edited by Manuel Núñez, Ngoc Thanh Nguyen, David Camacho, Bogdan Trawiński |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXVIII, 515 p. 140 illus. in color.) |
| Disciplina | 006.33 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Application software Information storage and retrieval Algorithms Education—Data processing Artificial Intelligence Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Information Storage and Retrieval Algorithm Analysis and Problem Complexity Computers and Education |
| ISBN | 3-319-24069-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multi-agent systems -- Social networks and NLP -- Sentiment analysis -- Computational intelligence and games -- Ontologies and information extraction -- Formal methods and simulation -- Neural networks, SMT and MIS -- Collective intelligence in Web systems – Web systems analysis.-Computational swarm intelligence -- Cooperative strategies for decision making and optimization.-Advanced networking and security technologies -- IT in biomedicine -- Collective computational intelligence in educational context -- Science intelligence and data analysis -- Computational intelligence in financial markets -- Ensemble learning -- Big data mining and searching. |
| Record Nr. | UNINA-9910483333203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Formal Methods for Industrial Critical Systems [[electronic resource] ] : 20th International Workshop, FMICS 2015 Oslo, Norway, June 22-23, 2015 Proceedings / / edited by Manuel Núñez, Matthias Güdemann
| Formal Methods for Industrial Critical Systems [[electronic resource] ] : 20th International Workshop, FMICS 2015 Oslo, Norway, June 22-23, 2015 Proceedings / / edited by Manuel Núñez, Matthias Güdemann |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVI, 213 p. 61 illus.) |
| Disciplina | 004.0151 |
| Collana | Programming and Software Engineering |
| Soggetto topico |
Programming languages (Electronic computers)
Computer logic Software engineering Special purpose computers Mathematical logic Programming Languages, Compilers, Interpreters Logics and Meanings of Programs Software Engineering Special Purpose and Application-Based Systems Mathematical Logic and Formal Languages |
| ISBN | 3-319-19458-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications.- Protocols -- Specification and analysis -- Verification. |
| Record Nr. | UNISA-996200020203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Formal Methods for Industrial Critical Systems : 20th International Workshop, FMICS 2015 Oslo, Norway, June 22-23, 2015 Proceedings / / edited by Manuel Núñez, Matthias Güdemann
| Formal Methods for Industrial Critical Systems : 20th International Workshop, FMICS 2015 Oslo, Norway, June 22-23, 2015 Proceedings / / edited by Manuel Núñez, Matthias Güdemann |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVI, 213 p. 61 illus.) |
| Disciplina | 004.0151 |
| Collana | Programming and Software Engineering |
| Soggetto topico |
Programming languages (Electronic computers)
Computer logic Software engineering Special purpose computers Mathematical logic Programming Languages, Compilers, Interpreters Logics and Meanings of Programs Software Engineering Special Purpose and Application-Based Systems Mathematical Logic and Formal Languages |
| ISBN | 3-319-19458-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications.- Protocols -- Specification and analysis -- Verification. |
| Record Nr. | UNINA-9910484901603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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