Low-rank and sparse representation based learning for cancer survivability prediction

Inverse projection group sparse representation for tumor classification: A low rank variation dictionary approach

(2020) Xiaohui Yang et al.   KNOWLEDGE-BASED SYSTEMS

A case-based ensemble learning system for explainable breast cancer recurrence prediction

(2020) Dongxiao Gu et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

An integrated inverse space sparse representation framework for tumor classification

(2019) Xiaohui Yang et al.   PATTERN RECOGNITION

Skin cancer diagnosis based on optimized convolutional neural network

(2019) Ni Zhang et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Breast cancer data analysis for survivability studies and prediction

(2018) Nagesh Shukla et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

High dimensional data classification and feature selection using support vector machines

(2018) Bissan Ghaddar et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Multiview Subspace Clustering via Tensorial t-Product Representation

(2018) Ming Yin et al.   IEEE Transactions on Neural Networks and Learning Systems

Feed-forward neural network training using sparse representation

(2018) Jie Yang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fast Low-Rank Shared Dictionary Learning for Image Classification

(2017) Tiep Huu Vu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

The Surveillance, Epidemiology, and End Results (SEER) Program and Pathology

(2016) Máire A. Duggan et al.   AMERICAN JOURNAL OF SURGICAL PATHOLOGY

LRSR: Low-Rank-Sparse representation for subspace clustering

(2016) Jun Wang et al.   NEUROCOMPUTING

Model Comparison for Breast Cancer Prognosis Based on Clinical Data

(2016) Sabri Boughorbel et al.   PLoS One

Relative mortality rates from incident chronic diseases among breast cancer survivors – A 14year follow-up of five-year survivors diagnosed in Denmark between 1994 and 2007

(2015) Anne Gulbech Ording et al.   EUROPEAN JOURNAL OF CANCER

Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning

(2014) Zhouchen Lin et al.   MACHINE LEARNING

Robust predictive model for evaluating breast cancer survivability

(2013) Kanghee Park et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition

(2013) Zhuolin Jiang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Feature selection and multi-kernel learning for sparse representation on a manifold

(2013) Jim Jing-Yan Wang et al.   NEURAL NETWORKS

Inductive Robust Principal Component Analysis

(2012) Bing-Kun Bao et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Robust principal component analysis?

(2011) Emmanuel J. Candès et al.   JOURNAL OF THE ACM

Robust Face Recognition via Sparse Representation

(2009) J. Wright et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Sparse Reconstruction by Separable Approximation

(2009) S.J. Wright et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING