Smartphone-Based Videonystagmography Using Artificial Intelligence

Prediction Based Diagnosis Using Artificial Intelligence Methods

Artificial Intelligence for Artificial Artificial Intelligence

Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...

Teaching Artificial Intelligence Using Lego

We present 12-years teaching experience on Artificial Intelligence using Lego RCX, NXT, and EV3 Robotics platforms for both undergraduate and graduate classes at Western Washington University. We present the curriculum design, methods used, and outcomes of this kind of teaching. We discuss the advantages and disadvantages of using Lego. We suggest using a systematic method to raise the quality ...

Text Classification using Artificial Intelligence

Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined categories. Text classification is the primary requirement of text retrieval systems, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as produc...

Artificial Intelligence Based Malware Analysis

Artificial intelligence methods have often been applied to perform specific functions or tasks in the cyber– defense realm. However, as adversary methods become more complex and difficult to divine, piecemeal efforts to understand cyber–attacks, and malware–based attacks in particular, are not providing sufficient means for malware analysts to understand the past, present and future characteris...