Expertise of annotators has a major role in crowdsourcing based opinion aggregation models. In such frameworks, accuracy and biasness of annotators are occasionally taken as important features and based on them priority of the annotators are assigned. But instead of relying on a single feature, multiple features can be considered and separate rankings can be produced to judge the annotators pro...

Collecting human judgments for music similarity evaluation has always been a difficult and time consuming task. This paper explores the viability of Amazon Mechanical Turk (MTurk) for collecting human judgments for audio music similarity evaluation tasks. We compared the similarity judgments collected from Evalutron6000 (E6K) and MTurk using the Music Information Retrieval Evaluation eXchange 2...

Computerized generation of humor is a notoriously difficult AI problem. We develop an algorithm called Libitum that helps humans generate humor in a Mad Lib R ©, which is a popular fill-in-the-blank game. The algorithm is based on a machine learned classifier that determines whether a potential fill-in word is funny in the context of the Mad Lib story. We use Amazon Mechanical Turk to create gr...

e15011 Background: Solid tumors are notorious for their ability to form lethal metastases, sometimes several decades following initial cancer diagnosis. Development of distant metastases is a result the primary tumor shedding cells that travel via lymphatics and blood sites where they can metastases. Platelets known specifically enhance cells’ survival in bloodstream by as yet poorly understood...