Andreas Christmann

New Brain Lesions After Carotid Stenting Versus Carotid Endarterectomy

Frequentist uncertainty estimates for deep learning.

Carotid artery stenting compared with endarterectomy in patients with symptomatic carotid stenosis (International Carotid Stenting Study): an interim analysis of a randomised controlled trial

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Initial experience with cerebral protection devices to prevent embolization during carotid artery stenting

A randomized trial of carotid artery stenting with and without cerebral protection

Effective Doses in Radiology and Diagnostic Nuclear Medicine: A Catalog

Fibromuscular Dysplasia

Does digital imaging decrease patient dose? A pilot study and review of the literature

Antithrombotic Therapy for Venous Thromboembolic Disease

Filter-Protected versus Unprotected Carotid Artery Stenting: A Randomised Trial

Antithrombotic Therapy for Venous Thromboembolic Disease

Indications, management, and complications of temporary inferior vena cava filters

Convexity, Classification, and Risk Bounds

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Robust Coefficients Alpha and Omega and Confidence Intervals With Outlying Observations and Missing Data

Gaussian Processes for Machine Learning

Early Outcome of Carotid Angioplasty and Stenting With and Without Cerebral Protection Devices

A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification

Support vector machines under adversarial label contamination

Improvement of Support Vector Machine Algorithm in Big Data Background

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Learning from class-imbalanced data: Review of methods and applications

Un viaje alrededor de alfa y omega para estimar la fiabilidad de consistencia interna

Robustness and Outlier Detection in Chemometrics

Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography

Support vector machines based on convex risk functions and general norms

The Politics of Foreign Direct Investment into Developing Countries: Increasing FDI through International Trade Agreements?

The Constraining Power of International Treaties: Theory and Methods

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

Principal component analysis

How SVMs can estimate quantiles and the median

Digital chest radiography with a large-area flat-panel silicon X-ray detector: clinical comparison with conventional radiography

A Physiologic In Vitro Model of the Inferior Vena Cava with a Computer-Controlled Flow System for Testing of Inferior Vena Cava Filters

Measuring overlap in binary regression

Estimating conditional quantiles with the help of the pinball loss

Cerebral ischemia detected with diffusion-weighted MR imaging after stent implantation in the carotid artery.

Consistency and robustness of kernel based regression

Robust estimation of Cronbach's alpha

Robust learning from bites for data mining

Digital Radiography Versus Conventional Radiography in Chest Imaging

On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition