• HANDY: A benchmark dataset for context-awareness via wrist-worn motion sensors 

      Acici, Koray; Asuroglu, Tunc; Ogul, Hasan; Erdas, Cagatay Berke (Peer reviewed; Journal article, 2018-06-24)
      Being aware of a personal context is a promising task for various applications, such as biometry, human-computer interactions, telemonitoring, remote care, mobile marketing and security. The task can be formally defined ...
    • Objective Pain Assessment Using Vital Signs 

      Erdogan, Burak; Ogul, Hasan (Peer reviewed; Journal article, 2020)
      Pain is considered as an emotional experience and unrestful feeling associated with tissue damage. The feeling of pain occurs when the interpretation starts in brain; as a signal is sent through nerve fiber to the brain. ...
    • Predicting infections using computational intelligence – A systematic review 

      Baldominos, Alejandro; Puello, Adrián; Ogul, Hasan; Aşuroğlu, Tunç; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2020)
      Infections encompass a set of medical conditions of very diverse kinds that can pose a significant risk to health, and even death. As with many other diseases, early diagnosis can help to provide patients with proper care ...
    • T4SS Effector Protein Prediction with Deep Learning 

      Acici, Koray; Asuroglu, Tunc; Erdas, Cagatay Berke; Ogul, Hasan (Journal article; Peer reviewed, 2019-03-25)
      Extensive research has been carried out on bacterial secretion systems, as they can pass effector proteins directly into the cytoplasm of host cells. The correct prediction of type IV protein effectors secreted by T4SS is ...