Source: ISSN: 2399-3642 ; Communications Biology ; https://hal.science/hal-04851795 ; Communications Biology, 2026, 9 (1), pp.385. ⟨10.1038/s42003-026-09760-2⟩.

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Forecast collapse of transformer-based models under squared loss in financial time series

Authors : Andreoletti, Pierre;

Subjects: time-series forecasting; trajectory prediction; empirical risk minimization

Source: https://hal.science/hal-05573700 ; 2026.

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Conference

Comparison Between CNN and GNN Pipelines for Analysing the Brain in Development

Authors : Bourlier, Antoine; Chaillou, Elodie; Ramel, Jean-Yves ...

Subjects: Segmentation; MRI; Machine LearningPorto; PortugalPorto, Portugal

Source: Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2025) ; 20th International Joint Conference on Computer

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Academic Journal

Discernibility in explanations: Designing more acceptable and meaningful machine learning models for medicine

Authors : Wang, Haomiao; Aligon, Julien; May, Julien ...

Subjects: Feature selection; Acceptability of artificial intelligence; Explainable machine learning

Source: ISSN: 2001-0370 ; Computational and Structural Biotechnology Journal ; https://hal.science/hal-05268685 ; Computational and Structural Biotechnology Journal, 2025, 27, pp.1800-1808.

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Identification and validation of robust hospital-acquired pneumonia subphenotypes associated with all-cause mortality: a multi-cohort derivation and validation

Authors : Martin, Florian Pierre; Poulain, Cécile; Mulier, Jelle Haitsma ...

Subjects: Antimicrobial therapy; Hospital-acquired pneumonia; Lung microbiome

Source: ISSN: 0342-4642.

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Conference

Which Uncertainty Quantification Method in Deep Learning Models for Knee Osteoarthritis Diagnosis?

Authors : Fall, Mame Diarra; Faye, Elhadji C.;

Subjects: X-ray; Osteoarthritis; Medical imagingEdinburgh; United Kingdom

Source: 2025 IEEE Statistical Signal Processing Workshophttps://hal.science/hal-055598112025 IEEE Statistical Signal Processing Workshop, IEEE, Jun 2025, Edinburgh, United Kingdom.

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Learning a measure for the stratification of patients with amyotrophic lateral sclerosis ; Apprentissage d’une mesure pour la stratification de patients atteints de la sclérose latérale amyotrophique

Authors : Tejedor, Guillaume; Peralta, Veronika; Labroche, Nicolas ...

Subjects: [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; [INFO]Computer Science [cs]Toulouse; France

Source: Masses de Données, Informations et Connaissances en Sciences (MaDICS) 2025 ; https://hal.science/hal-05342193 ; Masses de Données, Informations et Connaissances en Sciences (MaDICS) 2025, May 2025,

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Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis

Authors : Tejedor, Guillaume; Peralta, Veronika; Labroche, Nicolas ...

Subjects: Weak-supervision; Clustering; Amyotrophic Lateral SclerosisTampere; Finland

Source: Advances in Databases and Information Systems (ABDIS) 2025 ; https://hal.science/hal-05342188 ; Advances in Databases and Information Systems (ABDIS) 2025, Jan 2025, Tampere, Finland

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فلترة النتائج

From non-specific biomarker to targeted action: transdiagnostic and sex-specific drivers of high-CRP status in severe mental illness across the FondaMental Advanced Centers of Expertise (FACE) cohorts

R Libraries for Scientometrics on Artificial Intelligence in Agricultural Monitoring ; R Biblioteke za Scientometriju o Vještačkoj Inteligenciji u Poljoprivrednom Monitoringu

Growth rate-driven modelling suggests that phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma

Forecast collapse of transformer-based models under squared loss in financial time series

Comparison Between CNN and GNN Pipelines for Analysing the Brain in Development

Discernibility in explanations: Designing more acceptable and meaningful machine learning models for medicine

Identification and validation of robust hospital-acquired pneumonia subphenotypes associated with all-cause mortality: a multi-cohort derivation and validation

Which Uncertainty Quantification Method in Deep Learning Models for Knee Osteoarthritis Diagnosis?

Learning a measure for the stratification of patients with amyotrophic lateral sclerosis ; Apprentissage d’une mesure pour la stratification de patients atteints de la sclérose latérale amyotrophique

Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis

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