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.
Modelling the full-body motion and predicting the movement of an articulated human by exploiting the underlying graph structure and using graph neural networks.