M. U. Sen

Learning word representations for Turkish

Hakan Erdogan, Mehmet Umut Sen, Hakan Erdogan, 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).

Classification of SuDer Turkish News Corpora

Berrin A. Yanikoglu, M. U. Sen, 2018 .

A combined approach to regularized linear combiner learning

Hakan Erdogan, M. U. Sen, 2010, 2010 IEEE 18th Signal Processing and Communications Applications Conference.

Max-margin stacking with group sparse regularization for classifier combination

M. U. Sen, 2011 .

Comparison and ensemble of 2D and 3D approaches for COVID-19 detection in CT images

Mehmet Can Yavuz, Sara Atito Ali Ahmed, F. Gulsen, 2022, Neurocomputing.

COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches pdf

Mehmet Umut Sen, Berrin Yanikoglu, Sara Atito Ali Ahmed, 2021, ArXiv.

Deep neural networks for single channel source separation

Hakan Erdogan, Mehmet Umut Sen, Emad M. Grais, 2013, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving speech recognition with audio-visual tandem classifiers and their fusions

Hakan Erdogan, Mehmet Umut Sen, Ibrahim Saygin Topkaya, 2011, 2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).

Linear classifier combination and selection using group sparse regularization and hinge loss

Hakan Erdogan, Mehmet Umut Sen, Hakan Erdogan, 2013, Pattern Recognit. Lett..

Max-Margin Stacking and Sparse Regularization for Linear Classifier Combination and Selection pdf

Hakan Erdogan, Mehmet Umut Sen, Hakan Erdogan, 2011, ArXiv.

A Unifying Framework for Learning the Linear Combiners for Classifier Ensembles

Hakan Erdogan, Mehmet Umut Sen, Hakan Erdogan, 2010, 2010 20th International Conference on Pattern Recognition.