Country of the labs · world rank 24
AI research: Brazil
Located papers
564
This month
0
−100% vs previous month
Subjects covered
215
This page only covers the 564 papers with at least one laboratory traced to this country, between 27 October 2025 and 18 August 2026. It is not the entire output of the country.
This is the country of the laboratory, never the nationality of individuals. A paper co-signed from several countries counts in each of them. Coverage is partial and the gap is not random: a researcher whose institution is unknown usually publishes little, which over-represents established labs.
Volumes by domain
What this country works on: Brazil
Themes and topics are not invented here: every paper is mapped onto the OpenAlex classification, the open catalogue that indexes the world's scientific research (domain › field › theme › topic hierarchy). Click a theme to break it down into its main topics.
Rising phrases - last 30 days
Emerging signals
Phrases appearing markedly more often than usual in this country's papers. Because a national corpus is far smaller than the global one, the selection threshold is proportional to its volume: percentages are jumpier, and a term can rise on a handful of papers.
No signal computed yet - the burst detection workflow has not run.
Most active subjects - 12 months
Trajectories
Topics taken from the OpenAlex scientific classification.
Large Language Models
AI
Explainable Artificial Intelligence (XAI)
AI
Multimodal Machine Learning Applications
Vision
Generative Adversarial Networks and Image Synthesis
Vision
Privacy-Preserving Technologies in Data
AI
Domain Adaptation and Few-Shot Learning
AI
Reinforcement Learning in Robotics
AI
Adversarial Robustness in Machine Learning
AI
20 most recent papers
Latest ingests
| Paper | Abstract | Theme | Topic |
|---|---|---|---|
| Hoeffding adaptive splitting trees for data stream classification with concept drift and ensemble learning 18 August 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… | AI | Data Stream Mining Techniques |
| Shape Operator PCA: Curvature-Aware Projections for Geometric Machine Learning 18 August 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 August 2026 | Hypercomplex numbers extend the concept of complex numbers by introducing additional imaginary components. Besides increasing dimensionality, operations on the imaginary parts… | AI | Neural Networks and Reservoir Computing |
| WiFuse: An Attention Mechanism for Human Activity Recognition using Fused CSI Amplitude and Delay-Doppler Channel Features 4 August 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… | Electronics | Indoor and Outdoor Localization Technologies |
| Three-Photon Bayesian Imaging of Ortho-Positronium 31 July 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 July 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… | Vision | Human Pose and Action Recognition |
| Investigating the Visual Cues of CNNs for Vascular Segmentation: A Case Study in Microscopy and Fundus Imaging 28 July 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 July 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 July 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 July 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 July 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… | Vision | Generative Adversarial Networks and Image Synthesis |
| Prompt as a Data Type: In-Database LLM Prompt Management and Rewriting 27 July 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 July 2026 | Despite recent advances, self-supervised learning (SSL) models and Joint-Embedding Predictive Architectures (JEPAs) remain susceptible to learning spurious biases in the dataset.… | AI | Domain Adaptation and Few-Shot Learning |
| RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention 27 July 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… | AI | Large Language Models |
| Multilevel Graph Wavelet Compressed Sensing with Scale-Aware Neural Recovery 24 July 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 July 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… | Networks | IoT and Edge/Fog Computing |
| Multi-stage Dynamic Selection for Cross-Project Defect Prediction 23 July 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,… | Info systems | Software Engineering Research |
| Machine-learned syndrome post-selection for reliable quantum error correction 23 July 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… | AI | Quantum Computing Algorithms and Architecture |
| Instance Hardness-Based Relevance for Imbalanced Regression 23 July 2026 | Imbalanced regression problems arise when the target variable has an asymmetric distribution, resulting in underrepresented value ranges in the dataset. Traditional approaches for… | AI | Imbalanced Data Classification Techniques |
| The C-index illusion: discrimination without calibration in published survival models 23 July 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 |
Lab countries - last 90 days
Other countries
The world ranking as it appears on the dashboard. Click another country to open its page.
- United States38% · 26,375 papers
- China33% · 22,828 papers
- United Kingdom7.5% · 5,251 papers
- Germany7.2% · 4,984 papers
- India4.6% · 3,181 papers
- Canada4.5% · 3,159 papers
- France4.1% · 2,865 papers
- South Korea4.1% · 2,859 papers
- Hong Kong SAR China3.2% · 2,247 papers
- Japan3.2% · 2,234 papers
- Australia3.1% · 2,160 papers
- Italy2.9% · 1,987 papers
- Singapore2.8% · 1,952 papers
- Switzerland2.3% · 1,611 papers
Click a country to see only its research
Across 69,649 papers with at least one lab located, i.e. 76% of the 91,354 papers fully processed between 27 October 2025 and 21 August 2026. 167 countries represented.
This is the country of the laboratory, never the nationality of individuals. A paper signed from several countries counts for each of them, so the shares add up to more than 100%. Coverage is partial and the gap is not random: a researcher whose institution is unknown usually publishes little, which over-represents established labs.
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