Frontiers

Predicting molecular subtype in breast cancer using deep learning on mammography images

1 Department of Breast Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China 2 School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, ...
Scientific Research Publishing

Ballico, E., Catanese, F. and Ciliberto, C. (1992) Trento Examples. In: Ballico, E., Catanese, F. and Ciliberto, C., Eds., Classification of Irregular Varieties, Springer, 134-139.

ABSTRACT: The Hodge conjecture states that the Hodge group of Hodge classes is equal to the algebraic group generated by algebraic subvarieties on a Hodge manifold. To prove the conjecture, we ...
GitHub

sdk-jobs-automl-standalone-jobs-automl-nlp-text-classification-multiclass-task-sentiment-analysis-automl-nlp-multiclass-sentiment-mlflow

Official community-driven Azure Machine Learning examples, tested with GitHub Actions. - ...
Hosted on MSN

Build A Neural Network In Python — Multiclass Classification With Softmax

Hands-on coding of a multiclass neural network from scratch, with softmax and one-hot encoding. #Softmax #MulticlassClassification #PythonAI Trump announces two new national holidays, including one on ...
IEEE

Segmentation Aided Multiclass Classification of Lung Disease in Chest X-ray Images using Graph Neural Networks

Abstract: Deep learning (DL)-based medical image classification has become a pivotal research area in computer vision, significantly enhancing the diagnostic process across the medical field. DL-based ...
IEEE

Multiclass object classification for computer vision using Linear Genetic Programming

Abstract: Multiclass classification problems arise naturally in many tasks in computer vision; typical examples include image segmentation and letter recognition. These are among some of the most ...