Research

I work on applied machine learning problems, in particular in the intersection of computer vision and machine learning: handwriting recognition (online, offline; English, Turkish), biometric verification (signature, fingerprint), biometric privacy and image understanding (face, plant…), attribute-based classifiers and NLP applications (sentiment analysis, information summarization).

Some of our recent work is listed below:

Current Projects


Image Understanding/Deep Learning:


   Face Expression/Attributes Understanding:

  • Relative Attribute Classification with Deep-RankSVM
    Sara Atito Ali Ahmed, B. Yanikoglu, 2020
    ICPR International Workshops and Challenges 12662 (Lecture Notes in Computer …
  • Within-Network Ensemble for Face Attributes Classification, Sara Atito Ali, B Yanikoglu, ICIAP (1) 2019: 466-476 pdf
    • We explore how to reap benefits of ensembles within a single deep network, by adding extra output layers from several earlier layers of one deep network.
  • Multi-Label Networks for FaceAttributes ClassificationSara Atito Ali, B Yanikoglu, 2018
    IEEEInternational Conference on Multimedia & Expo Workshops (ICMEW), 1-6(2018) pdf

    • We explore indicating the location of a face attribute to the network. It increases training speed significantly and slightly improves accuracy.

Handwriting Recognition:


Signature Verification


Biometric Privacy/Template Protection


Machine Learning


Sentiment Analysis

 

 

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