País de los laboratorios · puesto 24 mundial
Investigación en IA: Brasil
Artículos localizados
564
Este mes
0
−100 % frente al mes anterior
Materias tratadas
215
Esta página solo cubre los 564 artículos con al menos un laboratorio atribuido a este país, entre el 27 de octubre de 2025 y el 18 de agosto de 2026. No es toda la producción del país.
Se trata del país del laboratorio, nunca de la nacionalidad de las personas. Un artículo cofirmado desde varios países cuenta en cada uno de ellos. La cobertura es parcial y el vacío no es aleatorio: un investigador cuya institución se desconoce suele publicar poco, lo que sobrerrepresenta a los laboratorios consolidados.
Volúmenes por dominio
En qué trabaja este país: Brasil
Los temas y asuntos no se inventan aquí: cada artículo se vincula a la clasificación de OpenAlex, el catálogo abierto que indexa la investigación científica mundial (jerarquía dominio › campo › tema › asunto). Haz clic en un tema para desglosarlo en sus principales asuntos.
Expresiones al alza - últimos 30 días
Señales emergentes
Las expresiones que aparecen mucho más a menudo de lo habitual en los artículos de este país. Como el corpus nacional es mucho más pequeño que el mundial, el umbral de selección es proporcional a su volumen: los porcentajes son más nerviosos y un término puede subir con unos pocos artículos.
Ninguna señal calculada - el flujo de detección de picos aún no se ha ejecutado.
Materias más activas - 12 meses
Trayectorias
Asuntos procedentes de la clasificación científica de OpenAlex.
Large Language Models
IA
Explainable Artificial Intelligence (XAI)
IA
Multimodal Machine Learning Applications
Visión
Generative Adversarial Networks and Image Synthesis
Visión
Privacy-Preserving Technologies in Data
IA
Domain Adaptation and Few-Shot Learning
IA
Reinforcement Learning in Robotics
IA
Adversarial Robustness in Machine Learning
IA
20 artículos más recientes
Últimas ingestas
| Artículo | Resumen | Tema | Asunto |
|---|---|---|---|
| Hoeffding adaptive splitting trees for data stream classification with concept drift and ensemble learning 18 de agosto de 2026 | Ensembles of decision trees are well-established methods for data stream classification. In ensemble learning, Hoeffding Trees are widely adopted as base learners, performing… | IA | Data Stream Mining Techniques |
| Shape Operator PCA: Curvature-Aware Projections for Geometric Machine Learning 18 de agosto de 2026 | In this paper, we propose SHOPCA (Shape Operator-based Principal Component Analysis), a novel method for unsupervised metric learning and dimensionality reduction that… | Geometry and Topology | Morphological variations and asymmetry |
| Ghost Features and Spooky Transfer Learning for Hypercomplex-Valued Neural Networks 11 de agosto de 2026 | Hypercomplex numbers extend the concept of complex numbers by introducing additional imaginary components. Besides increasing dimensionality, operations on the imaginary parts… | IA | Neural Networks and Reservoir Computing |
| WiFuse: An Attention Mechanism for Human Activity Recognition using Fused CSI Amplitude and Delay-Doppler Channel Features 4 de agosto de 2026 | Recently, Wi-Fi sensing has played a significant role in Human Activity Recognition (HAR), as it enables the detection of various activities using only Wi-Fi signals, ensuring… | Electrónica | Indoor and Outdoor Localization Technologies |
| Three-Photon Bayesian Imaging of Ortho-Positronium 31 de julio de 2026 | PET provides functional images relying on two-photon coincidences from positron-electron annihilation. In human tissue, about 40\% of annihilations are preceded by Ps formation,… | Radiology, Nuclear Medicine and Imaging | Medical Imaging Techniques and Applications |
| Test-Time Adaptation via Dual Distillation for Videos Under Severe Distribution Shifts 28 de julio de 2026 | Deep learning models have achieved state-of-the-art performance in several computer vision tasks. However, they experience severe performance degradation when applied to… | Visión | Human Pose and Action Recognition |
| Investigating the Visual Cues of CNNs for Vascular Segmentation: A Case Study in Microscopy and Fundus Imaging 28 de julio de 2026 | Vascular segmentation is a standard procedure for clinical diagnosis, yet the specific visual features determining model decisions remain poorly understood. This paper… | Radiology, Nuclear Medicine and Imaging | Retinal Imaging and Analysis |
| Queryable Self-Organizing Maps: A Database Abstraction for Topology-Driven Data Exploration 28 de julio de 2026 | Self-Organizing Maps (SOMs) have long been used as exploratory tools for high-dimensional data: they organize objects into a two-dimensional topology that reveals clusters,… | Computational Theory and Mathematics | Topological and Geometric Data Analysis |
| A Sustainable Remote Access Architecture for Digital Inclusion through the Reuse of Discredited TV-BOX Devices 28 de julio de 2026 | Digital inclusion and the volume of electronic waste (e-waste) are major challenges for society, with direct impacts on the educational context. Educational institutions,… | Hardware and Architecture | Cloud Computing and Remote Desktop Technologies |
| How to Catch a GPU: A Taxonomy of Verification and Enforcement Mechanisms for International AI Agreements 28 de julio de 2026 | Several international agreements have been proposed to regulate frontier AI development in response to catastrophic risks. However, there is no structured way to evaluate whether… | Safety Research | Ethics and Social Impacts of AI |
| Diffusion Models in Medical Image Inpainting: Challenges, Solution Taxonomy, and Future Directions 27 de julio de 2026 | Image inpainting aims to reconstruct missing or corrupted regions of an image while preserving as much as possible, visual and semantic consistency. In medical imaging, this task… | Visión | Generative Adversarial Networks and Image Synthesis |
| Prompt as a Data Type: In-Database LLM Prompt Management and Rewriting 27 de julio de 2026 | Large Language Models (LLMs) are increasingly used in database-backed applications to classify tuples, filter records using semantic predicates, extract structured attributes, and… | Information Systems and Management | Scientific Computing and Data Management |
| Unbiased Open World Regularization for Fair Self-Supervised Learning 27 de julio de 2026 | Despite recent advances, self-supervised learning (SSL) models and Joint-Embedding Predictive Architectures (JEPAs) remain susceptible to learning spurious biases in the dataset.… | IA | Domain Adaptation and Few-Shot Learning |
| RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention 27 de julio de 2026 | Full self-attention in large language models scales as O(N^2), which limits long-context document analysis to 65,536 tokens and requires costly GPU clusters. The Reduced… | IA | Large Language Models |
| Multilevel Graph Wavelet Compressed Sensing with Scale-Aware Neural Recovery 24 de julio de 2026 | Scientific machine learning methods such as neural operators and physics-informed neural networks have advanced engineering applications and inverse problems, but their training… | Computational Mechanics | Sparse and Compressive Sensing Techniques |
| CRAWO: Custom Resources for Adaptive Workload Orchestration 24 de julio de 2026 | Edge Intelligence has emerged as a key paradigm for enabling real-time applications in smart cities by shifting computation from centralized cloud data centers to the network… | Redes | IoT and Edge/Fog Computing |
| Multi-stage Dynamic Selection for Cross-Project Defect Prediction 23 de julio de 2026 | Cross-Project Defect Prediction (CPDP) involves building models using data from external projects, called training projects, to predict modules from the target project. However,… | Sist. de info. | Software Engineering Research |
| Machine-learned syndrome post-selection for reliable quantum error correction 23 de julio de 2026 | Quantum error correction can be enhanced by post-selecting out runs that are likely to produce a logical failure, but the most accurate measures for that require costly… | IA | Quantum Computing Algorithms and Architecture |
| Instance Hardness-Based Relevance for Imbalanced Regression 23 de julio de 2026 | Imbalanced regression problems arise when the target variable has an asymmetric distribution, resulting in underrepresented value ranges in the dataset. Traditional approaches for… | IA | Imbalanced Data Classification Techniques |
| The C-index illusion: discrimination without calibration in published survival models 23 de julio de 2026 | "Stop Chasing the C-index when Evaluating Survival Analysis Models" (ICML 2026, Spotlight) argued normatively, on synthetic data, that evaluating survival models by discrimination… | Accounting | Financial Distress and Bankruptcy Prediction |
Países de los laboratorios - últimos 90 días
Otros países
La clasificación mundial tal como aparece en el dashboard. Haz clic en otro país para abrir su página.
- Estados Unidos38 % · 26.375 artículos
- China33 % · 22.828 artículos
- Reino Unido7,5 % · 5251 artículos
- Alemania7,2 % · 4984 artículos
- India4,6 % · 3181 artículos
- Canadá4,5 % · 3159 artículos
- Francia4,1 % · 2865 artículos
- Corea del Sur4,1 % · 2859 artículos
- RAE de Hong Kong (China)3,2 % · 2247 artículos
- Japón3,2 % · 2234 artículos
- Australia3,1 % · 2160 artículos
- Italia2,9 % · 1987 artículos
- Singapur2,8 % · 1952 artículos
- Suiza2,3 % · 1611 artículos
Haz clic en un país para ver solo su investigación
Sobre 69.649 artículos con al menos un laboratorio localizado, es decir 76 % de los 91.354 artículos completamente procesados entre 27 de octubre de 2025 y 21 de agosto de 2026. 167 países representados.
Se trata del país del laboratorio, nunca de la nacionalidad de las personas. Un artículo firmado desde varios países cuenta para cada uno de ellos, por lo que las partes suman más del 100 %. La cobertura es parcial y el vacío no es aleatorio: un investigador cuya institución se desconoce suele publicar poco, lo que sobrerrepresenta a los laboratorios consolidados.
El resumen por email
Recibe el resumen
Un email el lunes por la mañana: lo que se movió en la investigación en IA la semana pasada. Sin spam, baja en un clic.