País de los laboratorios · puesto 25 mundial
Investigación en IA: Polonia
Artículos localizados
553
Este mes
0
−100 % frente al mes anterior
Materias tratadas
199
Esta página solo cubre los 553 artículos con al menos un laboratorio atribuido a este país, entre el 28 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: Polonia
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.
Explainable Artificial Intelligence (XAI)
IA
Multimodal Machine Learning Applications
Visión
Generative Adversarial Networks and Image Synthesis
Visión
Large Language Models
IA
Advanced Neural Network Applications
Visión
Misinformation and Its Impacts
Sociology and Political Science
Adversarial Robustness in Machine Learning
IA
Reinforcement Learning in Robotics
IA
20 artículos más recientes
Últimas ingestas
| Artículo | Resumen | Tema | Asunto |
|---|---|---|---|
| UniDot: A Unified Network for Sequence Modeling and Feature Interaction in Large-scale Recommendation 18 de agosto de 2026 | Industrial recommenders rely on two model families that have evolved largely independently: feature-interaction models over multi-field user/item features, and sequential models… | Sist. de info. | Recommender Systems and Techniques |
| Ventor-QTest: Threat-Model-Driven Verification of Vendor-Hosted LLM APIs 18 de agosto de 2026 | As large language models become increasingly widespread, third-party providers that deploy open-weight models have become an important part of the ecosystem. Auditing the quality… | Redes | Software System Performance and Reliability |
| The Trade-off Between Covariate Dependence and Latent Structure in Representation Learning 18 de agosto de 2026 | Disentangled representation learning seeks latent representations whose indicidual dimensions each align with a distinct covariate. Unsupervised approaches typically target latent… | Visión | Generative Adversarial Networks and Image Synthesis |
| Can Neural Networks Learn by Experimenting on Themselves? Self-Interventional Learning from Functional Consequences to Predictive Self-Knowledge 18 de agosto de 2026 | Machine-learning systems usually model external data, while their internal functional organization is analyzed by external observers. This work introduces Self-Interventional… | IA | Explainable Artificial Intelligence (XAI) |
| Can Unsupervised Methods Outperform Supervised Deep Learning When Ground Truth Is Sparse? A Case Study of Bronchovascular Bundle Segmentation in Low-Dose CT 18 de agosto de 2026 | Background Lung cancer remains the deadliest cancer worldwide because it is often diagnosed too late. Effective treatment depends on detection at an early screening stage.… | Pulmonary and Respiratory Medicine | Lung Cancer Diagnosis and Treatment |
| Decomposing Whole Slide Image Report Generation with Graph-Constrained Multiple Instance Learning Workflows 18 de agosto de 2026 | Whole-slide image (WSI) report generation requires recognizing spatially distributed pathological features and organizing them into a coherent diagnostic narrative. Although… | Visión | Multimodal Machine Learning Applications |
| AmalthAI: An Open-Source Computer Vision Platform for Cultural Heritage 14 de agosto de 2026 | Computer vision (CV) and machine learning (ML) offer new tools for cultural heritage (CH) artifact analysis, but the CV/ML pipeline remains largely inaccessible to CH domain… | Visión | Image Processing and 3D Reconstruction |
| Semantic Radiance Fields as Simulators for Spatial Reasoning in Real-World Scenes 14 de agosto de 2026 | Training and evaluating spatial reasoning in embodied agents requires diverse environments that are both geometrically faithful and semantically queryable. Synthetic simulators… | Visión | Multimodal Machine Learning Applications |
| COGENT: Counterfactual Gaussian Explanations for Volumetric Medical Images 13 de agosto de 2026 | Explainability is essential for deploying deep learning models in high-stakes medical applications. Existing explainability methods for volumetric imaging predominantly operate in… | IA | Explainable Artificial Intelligence (XAI) |
| From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning 12 de agosto de 2026 | We present TAR (Traffic Anomaly Reasoning) and TAR-Bench datasets, resources for training and evaluating video-language models beyond anomaly detection. TAR contains 44,040… | IA | Anomaly Detection Techniques and Applications |
| One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training 11 de agosto de 2026 | Whole slide images (WSIs) in digital histopathology are acquired at discrete magnification levels encoding complementary diagnostic information from global tissue architecture to… | IA | AI in cancer detection |
| SurakshaEval: An Indic Safety Benchmark for Multilingual LLMs 11 de agosto de 2026 | Existing safety evaluation datasets for large language models (LLMs) predominantly focus on English and Western contexts, often overlooking the linguistic diversity and culturally… | IA | Adversarial Robustness in Machine Learning |
| Jako Tako or Fluent? Presenting PoVisLE: A Polish Vision-Language Evaluation 11 de agosto de 2026 | Vision-language models (VLMs) have achieved strong performance on tasks such as image captioning, visual question answering, and image-to-text generation. However, they are… | Visión | Multimodal Machine Learning Applications |
| UQ-Loc: Uncertainty-Aware LiDAR Scene Coordinate Regression 7 de agosto de 2026 | LiDAR-based Scene Coordinate Regression (SCR) maps point clouds directly to 3D scene coordinates, enabling precise 6-DoF localisation without explicit map retrieval. However,… | Aerospace Engineering | Robotics and Sensor-Based Localization |
| Accurate Localization of Road Traffic Objects on the Road Plane Using Surveillance Camera Imagery 7 de agosto de 2026 | Accurate vehicle localization from monocular roadside surveillance cameras is important for intelligent transportation systems, traffic monitoring, and traffic conflict analysis.… | Automotive Engineering | Autonomous Vehicle Technology and Safety |
| Reachability in 3-VAS 6 de agosto de 2026 | We settle the exact complexity of the reachability problem in (stateless) vector addition systems (VAS) in fixed low dimension. In dimensions 2-4 it has only been known to be… | Computational Theory and Mathematics | Formal Methods in Verification |
| Disentangling Language Modeling and Boundaries 5 de agosto de 2026 | Byte-level language models are usually argued for on the grounds of robustness, multilingual fairness, and character-level skills. We point to a different, structural advantage:… | IA | Large Language Models |
| Weight-Space Mixture-of-Experts for Implicit Neural Representation Classification 3 de agosto de 2026 | Implicit Neural Representations (INRs) encode signals as the weights of a coordinate-based neural network and have recently been proposed as an alternative domain for downstream… | IA | Explainable Artificial Intelligence (XAI) |
| Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering 31 de julio de 2026 | Recursive self-improvement (RSI) requires AI systems that improve the process of building AI (i.e., AI4AI); machine learning engineering (MLE) offers a concrete, executable… | IA | Machine Learning and Data Classification |
| Shieldstral 29 de julio de 2026 | We introduce Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier that matches or outperforms models nearly 7$\times$ its size on text safety benchmarks and… | IA | Large Language Models |
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.
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