Intelligent Systems
Springer International Publishing (Verlag)
978-3-031-79037-9 (ISBN)
- Noch nicht erschienen - erscheint am 19.03.2025
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The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Belém do Pará, Brazil, during November 17-21, 2024.
The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
.- 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.
| Erscheint lt. Verlag | 19.3.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XVI, 269 p. 68 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | AI for Education • AI for Social Good • Artificial Intelligence • AutoML • Data Mining • Deep learning • evolutionary algorithms • Explainable AI • Fair AI • federated learning • Human Activity Recognition • information extraction • Logics and Semantics • machine learning • Metaheuristics • Natural Language Processing • Reinforcement Learning • smart cities • Speech Recognition • Time Series Forecasting |
| ISBN-10 | 3-031-79037-5 / 3031790375 |
| ISBN-13 | 978-3-031-79037-9 / 9783031790379 |
| Zustand | Neuware |
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