Automated histologic diagnosis of CNS tumors with machine learning

Automated Computer System Diagnosis by Machine Learning Approaches

Computer systems are growing more and more complex, towards or even beyond the limit that humans can handle. The consequence of the trend is that systems become more fragile, harder to manage, and therefore have lower availability and usability. This paper surveys the systems and their algorithms that can automatically learn the behaviors of those complex systems and diagnose the rootcauses of ...

Automated software vulnerability detection with machine learning

Thousands of security vulnerabilities are discovered in production software each year, either reported publicly to the Common Vulnerabilities and Exposures database or discovered internally in proprietary code. Vulnerabilities often manifest themselves in subtle ways that are not obvious to code reviewers or the developers themselves. With the wealth of open source code available for analysis, ...

Correlation of Hormone Receptor Expression with Histologic Parameters in Benign and Malignant Breast Tumors

Background and Objective: Breast cancer is the commonest cancer of Indian women. Estrogen and Progesterone expression is seen in benign breast lesions and in breast carcinoma associated with good prognostic parameters and it correlates well with response to hormone therapy. Although a lot of studies have been conducted in the past on hormone receptor expression in breast cancer and few have cor...

Machine Learning for Automated Reasoning

Comparative Analysis of Machine Learning Algorithms with Optimization Purposes

The field of optimization and machine learning are increasingly interplayed and optimization in different problems leads to the use of machine learning approaches‎. ‎Machine learning algorithms work in reasonable computational time for specific classes of problems and have important role in extracting knowledge from large amount of data‎. ‎In this paper‎, ‎a methodology has been employed to opt...