7 citations · 7 across the 6 of their papers we have counts for
7 papers
Automatic Classification of Pedagogical Materials against CS Curriculum Guidelines
Erik Saule, Kalpathi Subramanian, Razvan Bunescu
Professional societies often publish curriculum guidelines to help programs align their content to international standards. In Computer Science, the primary standard is published b…
McMining: Automated Discovery of Misconceptions in Student Code
Erfan Al-Hossami, Razvan Bunescu
When learning to code, students often develop misconceptions about various programming language concepts. These can not only lead to bugs or inefficient code, but also slow down th…
A Survey of Affective Recommender Systems: Modeling Attitudes, Emotions, and Moods for Personalization
Tonmoy Hasan, Razvan Bunescu
Affective Recommender Systems are an emerging class of intelligent systems that aim to enhance personalization by aligning recommendations with users' affective states. Reflecting…
Engineering Serendipity through Recommendations of Items with Atypical Aspects
Ramit Aditya, Razvan Bunescu, Smita Nannaware +1
A restaurant dinner or a hotel stay may lead to memorable experiences when guests encounter unexpected aspects that also match their interests. For example, an origami-making stati…
A Text-Based Recommender System that Leverages Explicit Affective State Preferences
Tonmoy Hasan, Razvan Bunescu
The affective attitude of liking a recommended item reflects just one category in a wide spectrum of affective phenomena that also includes emotions such as entranced or intrigued,…
Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults
Youssef A. Ait Alama, Sampada Sakpal, Ke Wang +3
Hardware failures are a growing challenge for machine learning accelerators, many of which are based on systolic arrays. When a permanent hardware failure occurs in a systolic arra…