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Intelligent Data Engineering and Automated Learning – IDEAL 2024 : 25th International Conference, Valencia, Spain, November 20–22, 2024, Proceedings, Part I / / edited by Vicente Julian, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2024 : 25th International Conference, Valencia, Spain, November 20–22, 2024, Proceedings, Part I / / edited by Vicente Julian, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio Tallón-Ballesteros |
| Autore | Julian Vicente |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (541 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
CamachoDavid
YinHujun AlberolaJuan M NogueiraVitor Beires NovaisPaulo Tallón-BallesterosAntonio |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Software engineering Education - Data processing Computer vision Data Mining and Knowledge Discovery Machine Learning Software Engineering Computers and Education Computer Vision |
| ISBN | 9783031777318 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Quantitative Estimation of Reputation Risk. -- Dissecting Data Practices in Android Apps: A Comparative Study of Data Collection and Sharing Behaviors. -- Model-Based Meta-Reinforcement Learning for Hyperparameter Optimization. -- Towards Sustainable Precision: Machine Learning for Laser Micromachining Optimization. -- Association Rules Mining with Auto-Encoders. -- Using Contrastive Learning to Map Stylistic Similarities in Narrative Writers. -- Automatic classification of signal and noise in functional magnetic resonance imaging scans using convolutional neural networks. -- How Resilient are Language Models to Text Perturbations?. -- Emotional Sequential Influence Modeling on False Information. -- CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability. -- Padel two-dimensional tracking extraction from monocular video recordings. -- Drowsiness Detection Using Vital Sign Sensors and Deep Learning on Smartwatches. -- Benchmarking out of the box Open-Source LLMs for Malware Detection based on API Calls sequences. -- Multimodal Visio-lingual Content Analysis to Detect Fake Content on Reddit. -- MetaLIRS: Meta-learning for Imputation and Regression Selection. -- Pipeline for Semantic Segmentation of Large Railway Point Clouds. -- Preliminary Investigation on Machine Learning and Deep Learning Models for Change of Direction Classification in Running. -- Efficient Radar Scheduling Using Genetic Algorithms and Stochastic Heuristic Initialization. -- Towards a Communication Specification Language for Heterogeneous Service Orchestration based on Process Calculus and Holonic Multi-agent Systems. -- Counterfactual Explanations for Sustainable Tourism Indicators. -- Tracking Healthy Organs in Medical Scans to Improve Cancer Treatment by Using UW-Madison GI Tract Image Segmentation. -- Low consumption models for disease diagnosis in isolated farms. -- Fast and Scalable Recommendation Retrieval Model with Mixed Attention and Knowledge Distillation. -- Federated Learning for Vietnamese SMS Spam Detection using Pre-Trained PhoBERT. -- Deep Learning Inference on Edge: A Preliminary Device Comparison. -- Causal Explanation of Graph Neural Networks. -- The contribution of social sciences driven user studies to the development of human-centered artificial intelligence. -- Towards Reliable Drift Detection and Explanation in Text Data. -- Using Diffusion Models for Data Augmentation on Limited Rodent OCT Datasets. -- Employing Explainable AI techniques for Air Pollution: An ante-hoc and post-hoc approach in dioxide nitrogen forecasting. -- Predicting employee attrition in a multi-company setting. -- A deep-learning approach for the identification of new subtypes of lung cancer . -- Loss Function Role in Processing Sequences with Heavy-Tailed Distributions. -- Cooperative-Competitive Decision-Making in Resource Management: A Reinforcement Learning Perspective. -- Improving Speech Emotion Recognition: Novel Aggregation Strategies for Self-Supervised Features. -- Refining Multiple Instance Learning with Attention Regularization for Whole Slide Image Classification. -- Evaluating performance and trustworthiness of RAG systems for generating administrative text. -- Blueprint of Tomorrow: Contrasting Off-line and On-line Drawing Tasks for Alzheimer's Disease Screening. -- Digital Mental Health Apps: Key Features and User Engagement for Better Wellness. -- Automatic PDF Document Classification with Machine Learning. -- Contributions on Mixtures of Polynomials for Hybrid Bayesian Networks. -- Age-unbiased Facial Emotion Recognition with Regularizing Self-attention Value Vector. -- Assessing the Impact of Temporal Data Aggregation on the Reliability of Predictive Machine Learning Models. -- Topic modeling in Telegram channels during the Russia-Ukraine conflict. -- Structural and Semantic Data Layers in Time Series Analyses. |
| Record Nr. | UNINA-9910983057703321 |
Julian Vicente
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2024 : 25th International Conference, Valencia, Spain, November 20–22, 2024, Proceedings, Part II / / edited by Vicente Julian, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2024 : 25th International Conference, Valencia, Spain, November 20–22, 2024, Proceedings, Part II / / edited by Vicente Julian, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio Tallón-Ballesteros |
| Autore | Julian Vicente |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (580 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
CamachoDavid
YinHujun AlberolaJuan M NogueiraVitor Beires NovaisPaulo Tallón-BallesterosAntonio |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Software engineering Education - Data processing Computer vision Data Mining and Knowledge Discovery Machine Learning Software Engineering Computers and Education Computer Vision |
| ISBN |
9783031777387
3031777387 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- A Divide-and-Conquer Approach for Container License Plate Detection Using Multi-Frame Analysis. -- Smart Sign Language Decoder. -- Hotel’s Price Prediction Based on Country Specific Data. -- New Approach to Support the Breast Cancer Diagnosis Process Using Frequent Pattern Growth and Stacking Based on Machine Learning Techniques. -- An Ontology-Lexicon-Driven Approach for Refining Sentiment Analysis Processes. -- Characterising Class Imbalance in Transportation Mode Detection: An Experimental Study. -- LeakG3PD: a Python generator and simulated Water Distribution System dataset. -- Providing Informative Feedback in a Low-Cost Rehabilitation System using Machine Learning. -- Noise tolerance and robustness ranking in Machine Learning models. -- A supervised clustering approach to detect similar soccer players. -- Three-Part Genetic Algorithm to Optimize the Outbound Train Loading Process Using a Multiple Travelling Salesman Problem Approach. -- Using Data Augmentation For Improving Text Summarization. -- Special Session on Predictive and Prescriptive Models for Smart Cities’ Applications. -- Sustainable demand-responsive transportation: A case study in rural Guimarães. -- CLARA: Semi-Automatic Retraining System. -- A grid-based approach for ambulance dispatch in critical emergencies within static systems. Optimizing vehicle coordination at multi-lane intersections using traffic control algorithms. -- Optimizing Pedestrian Paths to Minimize Exposure to Urban Pollution Through Traffic Data Analysis. -- Optimizing UCO Container Placement in Urb. Envs: A GA Approach. -- Special Session on Computational intelligence on Renewable Energies and Sustainable Automation. -- Data analysis and anomaly detection in a wind farm with k-Nearest Neighbors. -- Development of a Database for Convolutional Neural Networks Simulating CFD Analysis. -- Special Session on Example-based Explainable Artificial Intelligence. Entity Examples for Explainable Query Target Type Identification with LLMs.. Near Hit and Near Miss Example Explanations for Model Revision in Binary Image Classification -- Special Session on Explainability and Fairness in Decision Support. -- Evaluative Customized Naïve Associative Classifier: promoting equity in AI for the selection and promotion of human resources. Clustering of Serious Game Traces using Formal Concept Analysis. LORE4GroupRS: Explaining group recommendations supported by a local rule-based approach. -- Special Session on Federated Learning, Intelligent Fusion and Applications (FLIFA) -- Comparing MAE and RMSE as fitness of Genetic Algorithm for optimizing Echo State Network hyperparameters with different probabilistic distributions. -- Federated Learning with Discriminative Naive Bayes Classifier. -- Advances in Home Care and Real-Time Vital Signs Monitoring. -- Exploring Data Symbion EI deep learning and model sharing modules. -- A New Dataset for Analyzing Battery Failures in Wheelchairs. -- A Methodology for Automated Conversion of Axis-Aligned to Polygonal and Oriented Bounding Box Annotations in Aerial Imagery Object Detection. -- Multi-Layered Asynchronous Consensus-based Federated Learning (MACoL). -- -- Comparative study of Federated Learning algorithms based on SPADE agents. -- Robotic Precision Fitness: Accurate Pose Training for Elderly Rehabilitation. -- Special Session on Quantum Computing for Machine Learning and Optimization (Q4ML-Opt). -- Hybrid Quantum Solvers in Production: how to succeed in the NISQ era?. -- QUBO Optimization of Electrical Grid Topologies. .-Special Session on Anomaly Detection with Machine Learning. -- Indecision-aware Deep Active Anomaly Detection. -- Special Session on Developing AI Curricula for Pre-University Education. -- Educational management as an ensure of high-quality standards, focused on the added value of a public university. -- Identification of Areas for Improvement in Digital Pedagogical Competencies through Information Technologies, Communication, and Artificial Intelligence: An Innovative Approach in Teacher Training. -- What Students Should Learn and Teachers Must Know about Artificial Intelligence. -- Simplification of Image Segmentation and Object Detection Teaching Materials. -- Educational Computer Vision Materials for Classification and Tracking of Objects. -- Starting point in the introduction of AI in VET: Analysis and proposals in Spain. -- Advancing Robotics Education: Integrating Large Language Models for Natural Language -- Programming in VET. -- A Comprehensive Digital Solution for Identifying and Addressing Academic Risk in -- Middle Education. -- Special Session on Data Selection in Machine Learning (6th Edition). -- Data Mining In Credit Card Approval: Feature Importance as a Comparison. -- Special Session on Computational Intelligence for Imbalanced Classification. -- 2D Convolutional Neural Networks for Alzheimer's Disease Classification from Brain MRI. |
| Record Nr. | UNINA-9910983081703321 |
|
Julian Vicente
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2024 : 25th International Conference, Valencia, Spain, November 20–22, 2024, Proceedings, Part I / / edited by Vicente Julian, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2024 : 25th International Conference, Valencia, Spain, November 20–22, 2024, Proceedings, Part I / / edited by Vicente Julian, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio Tallón-Ballesteros |
| Autore | Julian Vicente |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (541 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
CamachoDavid
YinHujun AlberolaJuan M NogueiraVitor Beires NovaisPaulo Tallón-BallesterosAntonio |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Software engineering Education - Data processing Computer vision Data Mining and Knowledge Discovery Machine Learning Software Engineering Computers and Education Computer Vision |
| ISBN | 9783031777318 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Quantitative Estimation of Reputation Risk. -- Dissecting Data Practices in Android Apps: A Comparative Study of Data Collection and Sharing Behaviors. -- Model-Based Meta-Reinforcement Learning for Hyperparameter Optimization. -- Towards Sustainable Precision: Machine Learning for Laser Micromachining Optimization. -- Association Rules Mining with Auto-Encoders. -- Using Contrastive Learning to Map Stylistic Similarities in Narrative Writers. -- Automatic classification of signal and noise in functional magnetic resonance imaging scans using convolutional neural networks. -- How Resilient are Language Models to Text Perturbations?. -- Emotional Sequential Influence Modeling on False Information. -- CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability. -- Padel two-dimensional tracking extraction from monocular video recordings. -- Drowsiness Detection Using Vital Sign Sensors and Deep Learning on Smartwatches. -- Benchmarking out of the box Open-Source LLMs for Malware Detection based on API Calls sequences. -- Multimodal Visio-lingual Content Analysis to Detect Fake Content on Reddit. -- MetaLIRS: Meta-learning for Imputation and Regression Selection. -- Pipeline for Semantic Segmentation of Large Railway Point Clouds. -- Preliminary Investigation on Machine Learning and Deep Learning Models for Change of Direction Classification in Running. -- Efficient Radar Scheduling Using Genetic Algorithms and Stochastic Heuristic Initialization. -- Towards a Communication Specification Language for Heterogeneous Service Orchestration based on Process Calculus and Holonic Multi-agent Systems. -- Counterfactual Explanations for Sustainable Tourism Indicators. -- Tracking Healthy Organs in Medical Scans to Improve Cancer Treatment by Using UW-Madison GI Tract Image Segmentation. -- Low consumption models for disease diagnosis in isolated farms. -- Fast and Scalable Recommendation Retrieval Model with Mixed Attention and Knowledge Distillation. -- Federated Learning for Vietnamese SMS Spam Detection using Pre-Trained PhoBERT. -- Deep Learning Inference on Edge: A Preliminary Device Comparison. -- Causal Explanation of Graph Neural Networks. -- The contribution of social sciences driven user studies to the development of human-centered artificial intelligence. -- Towards Reliable Drift Detection and Explanation in Text Data. -- Using Diffusion Models for Data Augmentation on Limited Rodent OCT Datasets. -- Employing Explainable AI techniques for Air Pollution: An ante-hoc and post-hoc approach in dioxide nitrogen forecasting. -- Predicting employee attrition in a multi-company setting. -- A deep-learning approach for the identification of new subtypes of lung cancer . -- Loss Function Role in Processing Sequences with Heavy-Tailed Distributions. -- Cooperative-Competitive Decision-Making in Resource Management: A Reinforcement Learning Perspective. -- Improving Speech Emotion Recognition: Novel Aggregation Strategies for Self-Supervised Features. -- Refining Multiple Instance Learning with Attention Regularization for Whole Slide Image Classification. -- Evaluating performance and trustworthiness of RAG systems for generating administrative text. -- Blueprint of Tomorrow: Contrasting Off-line and On-line Drawing Tasks for Alzheimer's Disease Screening. -- Digital Mental Health Apps: Key Features and User Engagement for Better Wellness. -- Automatic PDF Document Classification with Machine Learning. -- Contributions on Mixtures of Polynomials for Hybrid Bayesian Networks. -- Age-unbiased Facial Emotion Recognition with Regularizing Self-attention Value Vector. -- Assessing the Impact of Temporal Data Aggregation on the Reliability of Predictive Machine Learning Models. -- Topic modeling in Telegram channels during the Russia-Ukraine conflict. -- Structural and Semantic Data Layers in Time Series Analyses. |
| Record Nr. | UNISA-996630864103316 |
|
Julian Vicente
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2024 : 25th International Conference, Valencia, Spain, November 20–22, 2024, Proceedings, Part II / / edited by Vicente Julian, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2024 : 25th International Conference, Valencia, Spain, November 20–22, 2024, Proceedings, Part II / / edited by Vicente Julian, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio Tallón-Ballesteros |
| Autore | Julian Vicente |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (580 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
CamachoDavid
YinHujun AlberolaJuan M NogueiraVitor Beires NovaisPaulo Tallón-BallesterosAntonio |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Software engineering Education - Data processing Computer vision Data Mining and Knowledge Discovery Machine Learning Software Engineering Computers and Education Computer Vision |
| ISBN |
9783031777387
3031777387 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- A Divide-and-Conquer Approach for Container License Plate Detection Using Multi-Frame Analysis. -- Smart Sign Language Decoder. -- Hotel’s Price Prediction Based on Country Specific Data. -- New Approach to Support the Breast Cancer Diagnosis Process Using Frequent Pattern Growth and Stacking Based on Machine Learning Techniques. -- An Ontology-Lexicon-Driven Approach for Refining Sentiment Analysis Processes. -- Characterising Class Imbalance in Transportation Mode Detection: An Experimental Study. -- LeakG3PD: a Python generator and simulated Water Distribution System dataset. -- Providing Informative Feedback in a Low-Cost Rehabilitation System using Machine Learning. -- Noise tolerance and robustness ranking in Machine Learning models. -- A supervised clustering approach to detect similar soccer players. -- Three-Part Genetic Algorithm to Optimize the Outbound Train Loading Process Using a Multiple Travelling Salesman Problem Approach. -- Using Data Augmentation For Improving Text Summarization. -- Special Session on Predictive and Prescriptive Models for Smart Cities’ Applications. -- Sustainable demand-responsive transportation: A case study in rural Guimarães. -- CLARA: Semi-Automatic Retraining System. -- A grid-based approach for ambulance dispatch in critical emergencies within static systems. Optimizing vehicle coordination at multi-lane intersections using traffic control algorithms. -- Optimizing Pedestrian Paths to Minimize Exposure to Urban Pollution Through Traffic Data Analysis. -- Optimizing UCO Container Placement in Urb. Envs: A GA Approach. -- Special Session on Computational intelligence on Renewable Energies and Sustainable Automation. -- Data analysis and anomaly detection in a wind farm with k-Nearest Neighbors. -- Development of a Database for Convolutional Neural Networks Simulating CFD Analysis. -- Special Session on Example-based Explainable Artificial Intelligence. Entity Examples for Explainable Query Target Type Identification with LLMs.. Near Hit and Near Miss Example Explanations for Model Revision in Binary Image Classification -- Special Session on Explainability and Fairness in Decision Support. -- Evaluative Customized Naïve Associative Classifier: promoting equity in AI for the selection and promotion of human resources. Clustering of Serious Game Traces using Formal Concept Analysis. LORE4GroupRS: Explaining group recommendations supported by a local rule-based approach. -- Special Session on Federated Learning, Intelligent Fusion and Applications (FLIFA) -- Comparing MAE and RMSE as fitness of Genetic Algorithm for optimizing Echo State Network hyperparameters with different probabilistic distributions. -- Federated Learning with Discriminative Naive Bayes Classifier. -- Advances in Home Care and Real-Time Vital Signs Monitoring. -- Exploring Data Symbion EI deep learning and model sharing modules. -- A New Dataset for Analyzing Battery Failures in Wheelchairs. -- A Methodology for Automated Conversion of Axis-Aligned to Polygonal and Oriented Bounding Box Annotations in Aerial Imagery Object Detection. -- Multi-Layered Asynchronous Consensus-based Federated Learning (MACoL). -- -- Comparative study of Federated Learning algorithms based on SPADE agents. -- Robotic Precision Fitness: Accurate Pose Training for Elderly Rehabilitation. -- Special Session on Quantum Computing for Machine Learning and Optimization (Q4ML-Opt). -- Hybrid Quantum Solvers in Production: how to succeed in the NISQ era?. -- QUBO Optimization of Electrical Grid Topologies. .-Special Session on Anomaly Detection with Machine Learning. -- Indecision-aware Deep Active Anomaly Detection. -- Special Session on Developing AI Curricula for Pre-University Education. -- Educational management as an ensure of high-quality standards, focused on the added value of a public university. -- Identification of Areas for Improvement in Digital Pedagogical Competencies through Information Technologies, Communication, and Artificial Intelligence: An Innovative Approach in Teacher Training. -- What Students Should Learn and Teachers Must Know about Artificial Intelligence. -- Simplification of Image Segmentation and Object Detection Teaching Materials. -- Educational Computer Vision Materials for Classification and Tracking of Objects. -- Starting point in the introduction of AI in VET: Analysis and proposals in Spain. -- Advancing Robotics Education: Integrating Large Language Models for Natural Language -- Programming in VET. -- A Comprehensive Digital Solution for Identifying and Addressing Academic Risk in -- Middle Education. -- Special Session on Data Selection in Machine Learning (6th Edition). -- Data Mining In Credit Card Approval: Feature Importance as a Comparison. -- Special Session on Computational Intelligence for Imbalanced Classification. -- 2D Convolutional Neural Networks for Alzheimer's Disease Classification from Brain MRI. |
| Record Nr. | UNISA-996630860503316 |
|
Julian Vicente
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||