no code implementations • 31 Jan 2020 • Caroline Potts, Ethem F. Can, Aysu Ezen-Can, Xiangqian Hu
We present a new and challenging object detection dataset, ParkingSticker, which mimics the type of data available in industry problems more closely than popular existing datasets like PASCAL VOC.
no code implementations • 8 Jan 2020 • Ethem F. Can, Aysu Ezen-Can
We hypothesize that the data ordering affects how well a model performs.
no code implementations • SEMEVAL 2019 • Aysu Ezen-Can, Ethem F. Can
Social media has an increasing amount of information that both customers and companies can benefit from.
no code implementations • 8 Jun 2018 • Ethem F. Can, Aysu Ezen-Can, Fazli Can
Our goal is to build a single model in the language with the largest dataset available for the task, and reuse it for languages that have limited resources.
no code implementations • SEMEVAL 2018 • Aysu Ezen-Can, Ethem F. Can
In this paper, we present an approach that utilizes multiple binary classifiers that represent different affective categories to model Twitter posts (e. g., tweets).