GUC is a software traceability tool that is initialized when project is created and can be updated during its development where users are able to see the relations be
This study offers a new approach to whole body human motion prediction problem using a state-of-the-art robot learning from demonstration framework,the Conditional Neural Move
Twitter Sentiment Analysis for Boğaziçi University using advanced text mining techniques (Naive Bayes, Word2Vec and BERT) to analyze the sentiment of the text in
Applying deep reinforcement learning methods for tasks whose rewards are specified by a linear temporal logic formula; for the purpose of automatic test case generation
We investigated the persuasive effects of emotions on a social robot through an online HRI experiment that is a web based survey on COVID-19 awareness conducted by a Nao robot.
We study transfer learning, which aims to adapt previously gained knowledge to small scale problems. Transfer from very deep architectures may cause overfitting.