This paper presents an experience in designing, implementing, and evaluating a studio-based learning model for CS2. Adapted from architecture and art education, as well as from co...
T. Dean Hendrix, Lakshman Myneni, N. Hari Narayana...
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Taking advantage of the continuously improving, web-based learning systems plays an important role for self-learning, especially in the case of working people. Nevertheless, learn...
Paraskevi K. Tzouveli, Phivos Mylonas, Stefanos D....