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We present work-in-progress reflecting on the initial year of a distinctive summer Research Experiences for Undergraduates (REU) program. Our REU model combines fundamental research in computational sensing with a scholarly context that connects computer science with computational liberal arts. Students are intellectually stimulated to make sense of people's behaviors and cognitive processes with...
Individuals have distinctive ways of speaking and writing, and there exists a long history of linguistic and stylistic investigation into authorship attribution. Most authorship identification approaches are exclusively based on lexical measures such as vocabulary richness and lexico-syntactic features, or substantially generate relevant features for different machine learning approaches. These techniques...
The ability of auditory attention can be described as filtering distinct sounds to identify relevant information in environments where multiple sound sources are active simultaneously. There are some techniques to detect and training this ability, but usually their use can be subjective and exhaustive to the patient. This paper presents the development and evaluation of the Whisperluck game, a serious...
We take an unorthodox approach to image spam detection, by applying existing software and decades-old technology: ASCII art. Our technique is straightforward and gets good levels of detection over a corpus with 1159 ham and 1492 spam images, with a tolerable amount of misclassifications. Furthermore, we only look at the images themselves, meaning that this method can be trivially enhanced by combining...
Rapid prototyping allows for evaluation of design product in a short period of time. Designers or CEOs may perceive the size and appearance of the product by touching the automatically constructed physical objects produced through rapid prototyping. However, it is usually impossible to change its color, texture, and user interface. In this paper, we introduce 'Augmented Reality based Re-formable Mock-up',...
Electroencephalography (EEG) is widely used in clinical settings to investigate neurophysiology. Since EEG signals contain a wealth of information about brain functions, there are many approaches in analyzing EEG signals with spectral techniques. We have used short time Fourier transform (STFT) at 19 channels of EEG for 10 Autism disorders (6-11 years old) and 7 age matched control subjects. The values...
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