Intelligent Data Engineering and Automated Learning - IDEAL 2024
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Intelligent Data Engineering and Automated Learning - IDEAL 2024
25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part I
Novais, Paulo; Julian, Vicente; Camacho, David; Nogueira, Vitor Beires; Yin, Hujun; Tallon-Ballesteros, Antonio; Alberola, Juan M.
Springer International Publishing AG
01/2025
505
Mole
9783031777301
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- 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.
.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data analytics;Data mining;Web applications;Information retrieval;Data management systems;Human computer interaction ;Computing methodologies;Artificial intelligence;Machine learning;Deep learning;Neural networks ;Deep neural networks;Neural systems;Neural informatics;Applied computing;Health informatics;Bioinformatics
.- 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.
.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data analytics;Data mining;Web applications;Information retrieval;Data management systems;Human computer interaction ;Computing methodologies;Artificial intelligence;Machine learning;Deep learning;Neural networks ;Deep neural networks;Neural systems;Neural informatics;Applied computing;Health informatics;Bioinformatics
