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Machine Learning

Machine learning aims to imitate and even surpass human intelligence on complicated cognitive tasks, such as recognizing objects in a photograph or understanding the spoken language. The most widely used form is the supervised learning where the output labels are given and the task is to learn or model the mapping between the input and output, using the available training data (regression or classification). A trained system can then be used to estimate the label of a new instance

At Sabanci University, researchers in the Computer Engineering and Science and Industrial Engineering programs are working in the different areas of machine learning.

Faculty Members: Berrin Yanıkoğlu, Kemal Kılıç, Sinan Yıldırım.

Funded Projects

  • 2014-2016 TÜBİTAK 1003 Project (No: 103E499): “Content Based Plant Identification”, B. Yanıkoğlu.
  • 2013-2015 TÜBİTAK 1001 Project (No: 103E062): “Developing and Using Handwriting Recognition Technologies for Smart Classrooms”, B. Yanıkoğlu.
Recognizing plants from photos is a hard problem because of large class numbers and similarity between classes. Recognizing plants from photos is a hard problem because of large class numbers and similarity between classes.