Intelligent Systems
portes grátis
Intelligent Systems
34th Brazilian Conference, BRACIS 2024, Belem do Para, Brazil, November 17-21, 2024, Proceedings, Part IV
Verri, Filipe A. N.; Paes, Aline
Springer International Publishing AG
02/2025
266
Mole
9783031790379
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- Best Papers.
.- A Topology-inspired approach to AGM Belief Change.
.- A Transformer-based Tabular Approach to Detect Toxic Comments.
.- Automatic Text Simplification for the Legal Domain in Brazilian Portuguese.
.- Developing Resource-Efficient Clinical LLMs for Brazilian Portuguese.
.- One-Class Learning for Data Stream through Graph Neural Networks.
.- Semi-Periodic Activation for Time Series Classification.
.- AI Applications for Social Good.
.- Automated and Intelligent Vocational Guidance System for Classifying Specialties Based on POSCOMP Microdata.
.- Classifying potentially non-compliant Portuguese language sentences concerning privacy policies.
.- Diversity in Data for Speech Processing in Brazilian Portuguese.
.- Elevating Healthcare AI: Achieving Efficiency and Accuracy in Medical Applications with Surrogate-Based Multiobjective Compression of ResNet50 CNNs.
.- Explainability of Machine Learning Models with XGBoost and SHAP values in the Context of Coping with Disasters.
.- Exploring Climatic Shifts in Brazilian Climates: Insights from ARMAX and Decision Trees and and Artificial Neural Networks.
.- Gender-Neutral English to Portuguese Machine Translator: Promoting Inclusive Language.
.- Hybrid Artificial Intelligence Model for Detecting Signs of Delayed Child Development.
.- Low birth weight in Brazil vulnerable groups: an analysis based on data mining and big data.
.- Modeling EEG data into graphs for the Prognostic of Patients in Coma using Graph Neural Networks.
.- Tackling Low-Resource ECG Classification with Self-Supervised Learning.
.- Tuning Hypothesis Creation: Combining Discrete and Continuous Spaces for Zero-Shot Hate Speech Detection.
.- A Topology-inspired approach to AGM Belief Change.
.- A Transformer-based Tabular Approach to Detect Toxic Comments.
.- Automatic Text Simplification for the Legal Domain in Brazilian Portuguese.
.- Developing Resource-Efficient Clinical LLMs for Brazilian Portuguese.
.- One-Class Learning for Data Stream through Graph Neural Networks.
.- Semi-Periodic Activation for Time Series Classification.
.- AI Applications for Social Good.
.- Automated and Intelligent Vocational Guidance System for Classifying Specialties Based on POSCOMP Microdata.
.- Classifying potentially non-compliant Portuguese language sentences concerning privacy policies.
.- Diversity in Data for Speech Processing in Brazilian Portuguese.
.- Elevating Healthcare AI: Achieving Efficiency and Accuracy in Medical Applications with Surrogate-Based Multiobjective Compression of ResNet50 CNNs.
.- Explainability of Machine Learning Models with XGBoost and SHAP values in the Context of Coping with Disasters.
.- Exploring Climatic Shifts in Brazilian Climates: Insights from ARMAX and Decision Trees and and Artificial Neural Networks.
.- Gender-Neutral English to Portuguese Machine Translator: Promoting Inclusive Language.
.- Hybrid Artificial Intelligence Model for Detecting Signs of Delayed Child Development.
.- Low birth weight in Brazil vulnerable groups: an analysis based on data mining and big data.
.- Modeling EEG data into graphs for the Prognostic of Patients in Coma using Graph Neural Networks.
.- Tackling Low-Resource ECG Classification with Self-Supervised Learning.
.- Tuning Hypothesis Creation: Combining Discrete and Continuous Spaces for Zero-Shot Hate Speech Detection.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial Intelligence;Natural Language Processing;Information Extraction;Machine Learning;Data Mining;Deep Learning;Fair AI;Evolutionary Algorithms;Metaheuristics;Time Series Forecasting;Reinforcement Learning;Federated Learning;Logics and Semantics;AI for Social Good;AI for Education;Speech Recognition;AutoML;Smart Cities;Explainable AI;Human Activity Recognition
.- Best Papers.
.- A Topology-inspired approach to AGM Belief Change.
.- A Transformer-based Tabular Approach to Detect Toxic Comments.
.- Automatic Text Simplification for the Legal Domain in Brazilian Portuguese.
.- Developing Resource-Efficient Clinical LLMs for Brazilian Portuguese.
.- One-Class Learning for Data Stream through Graph Neural Networks.
.- Semi-Periodic Activation for Time Series Classification.
.- AI Applications for Social Good.
.- Automated and Intelligent Vocational Guidance System for Classifying Specialties Based on POSCOMP Microdata.
.- Classifying potentially non-compliant Portuguese language sentences concerning privacy policies.
.- Diversity in Data for Speech Processing in Brazilian Portuguese.
.- Elevating Healthcare AI: Achieving Efficiency and Accuracy in Medical Applications with Surrogate-Based Multiobjective Compression of ResNet50 CNNs.
.- Explainability of Machine Learning Models with XGBoost and SHAP values in the Context of Coping with Disasters.
.- Exploring Climatic Shifts in Brazilian Climates: Insights from ARMAX and Decision Trees and and Artificial Neural Networks.
.- Gender-Neutral English to Portuguese Machine Translator: Promoting Inclusive Language.
.- Hybrid Artificial Intelligence Model for Detecting Signs of Delayed Child Development.
.- Low birth weight in Brazil vulnerable groups: an analysis based on data mining and big data.
.- Modeling EEG data into graphs for the Prognostic of Patients in Coma using Graph Neural Networks.
.- Tackling Low-Resource ECG Classification with Self-Supervised Learning.
.- Tuning Hypothesis Creation: Combining Discrete and Continuous Spaces for Zero-Shot Hate Speech Detection.
.- A Topology-inspired approach to AGM Belief Change.
.- A Transformer-based Tabular Approach to Detect Toxic Comments.
.- Automatic Text Simplification for the Legal Domain in Brazilian Portuguese.
.- Developing Resource-Efficient Clinical LLMs for Brazilian Portuguese.
.- One-Class Learning for Data Stream through Graph Neural Networks.
.- Semi-Periodic Activation for Time Series Classification.
.- AI Applications for Social Good.
.- Automated and Intelligent Vocational Guidance System for Classifying Specialties Based on POSCOMP Microdata.
.- Classifying potentially non-compliant Portuguese language sentences concerning privacy policies.
.- Diversity in Data for Speech Processing in Brazilian Portuguese.
.- Elevating Healthcare AI: Achieving Efficiency and Accuracy in Medical Applications with Surrogate-Based Multiobjective Compression of ResNet50 CNNs.
.- Explainability of Machine Learning Models with XGBoost and SHAP values in the Context of Coping with Disasters.
.- Exploring Climatic Shifts in Brazilian Climates: Insights from ARMAX and Decision Trees and and Artificial Neural Networks.
.- Gender-Neutral English to Portuguese Machine Translator: Promoting Inclusive Language.
.- Hybrid Artificial Intelligence Model for Detecting Signs of Delayed Child Development.
.- Low birth weight in Brazil vulnerable groups: an analysis based on data mining and big data.
.- Modeling EEG data into graphs for the Prognostic of Patients in Coma using Graph Neural Networks.
.- Tackling Low-Resource ECG Classification with Self-Supervised Learning.
.- Tuning Hypothesis Creation: Combining Discrete and Continuous Spaces for Zero-Shot Hate Speech Detection.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial Intelligence;Natural Language Processing;Information Extraction;Machine Learning;Data Mining;Deep Learning;Fair AI;Evolutionary Algorithms;Metaheuristics;Time Series Forecasting;Reinforcement Learning;Federated Learning;Logics and Semantics;AI for Social Good;AI for Education;Speech Recognition;AutoML;Smart Cities;Explainable AI;Human Activity Recognition
