News

Invited talk on Adaptive Pointwise-Pairwise Learning-to-Rank for Content-based Recommendation and Period-aware Content-based Attention for Time Series Forecasting at University of Glasgow (slides)

Biography

Yagmur Gizem Cinar is a postdoctoral researcher at Laboratoire d’Informatique de Grenoble (Computer Science Lab), Univ. Grenoble Alpes, Grenoble, France. She was a research scientist at Naver Labs Europe, France (2018-2020). She received her PhD on Sequence Prediction with Recurrent Neural Networks in the Context of Time Series and Information Retrieval Search Sessions at Univ. Grenoble Alpes in 2019, and MSc degrees in Artificial Intelligence and Electrical Engineering at KU Leuven in 2015 and 2014, respectively. Her research interests are machine learning, deep sequential learning and multi-modal learning.

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(2020-) Postdoctoral Researcher, Univ. Grenoble Alpes, France
Document Representations and Learning-to-Rank
(2018-2020) Postdoctoral Researcher, Naver Labs Europe, France
Search and Recommendation
(2015-2019) Ph.D. in Computer Science, Univ. Grenoble Alpes, France
Thesis: Sequence Prediction with Recurrent Neural Networks in the Context of Time Series and Information Retrieval Search Sessions
Director: Prof. Eric Gaussier
(2014-2015) M.Sc. in Artificial Intelligence, KU Leuven, Belgium
Thesis: Inferring User Interest on Social Media from Images & Text
Supervisor: Dr. Susana Zoghbi
Director: Prof. Marie-Francine Moens
(2012-2014) M.Sc. in Electrical Engineering with a specialization on Embedded Sytems and Multimedia, KU Leuven, Belgium
Thesis: Object Discovery with Latent Topic Models
Supervisor: Dr. Konstantinos Rematas
Director: Prof. Tinne Tuytelaars
(2007-2012) B.Sc. in Electronics Engineering, Sabanci University, Turkey
Graduation Project: Detection and Classification of Steady-State Visual Evoked Potentials in Brain-Computer Interfaces
Supervisor: Dr. Jaime Fernando Delgado Saa
Director: Prof. Mujdat Cetin