Pays des laboratoires · rang 25 mondial
Recherche en IA : Pologne
Articles situés
553
Ce mois-ci
0
−100 % vs mois précédent
Sujets touchés
199
Cette page ne montre que les 553 articles dont au moins un laboratoire a pu être rattaché à ce pays, entre le 28 octobre 2025 et le 18 août 2026. Ce n'est pas toute la production du pays.
Il s'agit du pays du laboratoire, jamais de la nationalité des personnes. Un article co-signé depuis plusieurs pays compte dans chacun d'eux. La couverture est partielle et le manque n'est pas aléatoire : un chercheur dont l'institution est inconnue publie en général peu, ce qui sur-représente les laboratoires établis.
Volumes par domaine
Sur quoi travaille ce pays : Pologne
Les thèmes et sujets ne sont pas inventés ici : chaque papier est rattaché à la classification d'OpenAlex, le catalogue ouvert qui indexe la recherche scientifique mondiale (hiérarchie domaine › champ › thème › sujet). Cliquer sur un thème le découpe en ses principaux sujets.
Expressions en hausse - 30 derniers jours
Signaux émergents
Les expressions qui reviennent nettement plus souvent qu'à l'habitude dans les articles de ce pays. Le corpus national étant bien plus petit que le corpus mondial, le seuil de sélection est proportionnel à son volume : les pourcentages sont plus nerveux, et un terme peut monter sur quelques articles seulement.
Aucun signal calculé - le workflow de détection des bursts n'a pas encore tourné.
Sujets les plus actifs - 12 mois
Trajectoires
Sujets issus de la classification scientifique OpenAlex.
Explainable Artificial Intelligence (XAI)
IA
Multimodal Machine Learning Applications
Vision
Generative Adversarial Networks and Image Synthesis
Vision
Large Language Models
IA
Advanced Neural Network Applications
Vision
Misinformation and Its Impacts
Sociology and Political Science
Adversarial Robustness in Machine Learning
IA
Reinforcement Learning in Robotics
IA
20 articles les plus récents
Dernières ingestions
| Article | Résumé | Thème | Sujet |
|---|---|---|---|
| UniDot: A Unified Network for Sequence Modeling and Feature Interaction in Large-scale Recommendation 18 août 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… | Systèmes d'info | Recommender Systems and Techniques |
| Ventor-QTest: Threat-Model-Driven Verification of Vendor-Hosted LLM APIs 18 août 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… | Réseaux | Software System Performance and Reliability |
| The Trade-off Between Covariate Dependence and Latent Structure in Representation Learning 18 août 2026 | Disentangled representation learning seeks latent representations whose indicidual dimensions each align with a distinct covariate. Unsupervised approaches typically target latent… | Vision | 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 août 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 août 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 août 2026 | Whole-slide image (WSI) report generation requires recognizing spatially distributed pathological features and organizing them into a coherent diagnostic narrative. Although… | Vision | Multimodal Machine Learning Applications |
| AmalthAI: An Open-Source Computer Vision Platform for Cultural Heritage 14 août 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… | Vision | Image Processing and 3D Reconstruction |
| Semantic Radiance Fields as Simulators for Spatial Reasoning in Real-World Scenes 14 août 2026 | Training and evaluating spatial reasoning in embodied agents requires diverse environments that are both geometrically faithful and semantically queryable. Synthetic simulators… | Vision | Multimodal Machine Learning Applications |
| COGENT: Counterfactual Gaussian Explanations for Volumetric Medical Images 13 août 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 août 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 août 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 août 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 août 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… | Vision | Multimodal Machine Learning Applications |
| UQ-Loc: Uncertainty-Aware LiDAR Scene Coordinate Regression 7 août 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 août 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 août 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 août 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 août 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 juillet 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 juillet 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 |
Pays des laboratoires - 90 derniers jours
Autres pays
Le classement mondial, tel qu'il apparaît sur le dashboard. Cliquer un autre pays ouvre sa page.
- États-Unis38 % · 26 375 articles
- Chine33 % · 22 828 articles
- Royaume-Uni7,5 % · 5 251 articles
- Allemagne7,2 % · 4 984 articles
- Inde4,6 % · 3 181 articles
- Canada4,5 % · 3 159 articles
- France4,1 % · 2 865 articles
- Corée du Sud4,1 % · 2 859 articles
- R.A.S. chinoise de Hong Kong3,2 % · 2 247 articles
- Japon3,2 % · 2 234 articles
- Australie3,1 % · 2 160 articles
- Italie2,9 % · 1 987 articles
- Singapour2,8 % · 1 952 articles
- Suisse2,3 % · 1 611 articles
Cliquer un pays pour n'y voir que sa recherche
Sur 69 649 articles dont au moins un laboratoire est situé, soit 76 % des 91 354 articles entièrement traités entre 27 octobre 2025 et 21 août 2026. 167 pays représentés.
Il s'agit du pays du laboratoire, jamais de la nationalité des personnes. Un article signé depuis plusieurs pays compte pour chacun d'eux, les parts dépassent donc 100 % au total. La couverture est partielle et le manque n'est pas aléatoire : un chercheur dont l'institution est inconnue publie en général peu, ce qui sur-représente les laboratoires établis.
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