Elemental analysis for human identification assisted by machine learning techniques

Machine Learning Techniques for Face Analysis

In recent years there has been a growing interest in improving all aspects of the interaction between humans and computers with the clear goal of achieving a natural interaction, similar to the way human–human interaction takes place. The most expressive way humans display emotions is through facial expressions. Humans detect and interpret faces and facial expressions in a scene with little or ...

Paraphrase Identification using Machine Learning Techniques

Paraphrases are different ways of expressing the same content. Two sentences are said to be paraphrases if they are semantically equivalent. Identification of paraphrases has numerous applications such as Information Extraction, Question Answering, etc. The traditional systems use threshold values to decide whether two sentences are paraphrases. This threshold determination process is independe...

Machine Learning-Assisted Binary Code Analysis

Binary code analysis is a foundational technique in the areas of computer security, performance modeling, and program instrumentation. In computer security, such analysis can provide the basis for detecting, understanding and controlling malicious code. Any analysis of malicious program requires as a first step precisely locating the Function Entry Points (FEPs, the starting byte of each functi...

Analytical Techniques for Elemental Analysis of Minerals

Financial Sentiment Analysis Using Machine Learning Techniques

The rise of web content has presented a great opportunity to extract indicators of investor moods directly from news and social media. Gauging this sentiment or general prevailing attitude of investors may simplify the analysis of large, unstructured textual datasets and help anticipate price developments in the market. There are several challenges in developing a scalable and effective framewo...