İpek Erdoğan, Signer independet sign language recognition

Ezgi Paket, Adversarial robustness via metric learning

Duygu Serbes, Adversarial robustness and generalization

Mustafa Karakulak, Towards more discriminative self-supervised representation learning

Kaan Kara, Predictive modeling for clinical time-series with irregularities

Deniz Sezin Ayvaz, Investigating conversion from mild cognitive impairment to Alzheimer's disease using latent space manipulation

Candaş Ünal, Clustering with deep learning

Yunus Emre Karataş, Adversarial attacks and robustness for sequential data

Ahmet Dadak, Learning to manipulate latent spaces of generative adversarial networks

Deniz Sezin Ayvaz, İnci M. Baytaş, "Investigating Conversion from Mild Cognitive Impairment to Alzheimer's Disease using Latent Space Manipulation", arXiv preprint arXiv:2111.08794, 2021. https://arxiv.org/pdf/2111.08794.pdf

İnci M. Baytaş, Debayan Deb, "Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations", arXiv preprint arXiv:2108.09713, 2021. https://arxiv.org/pdf/2108.09713.pdf

İlkay Sıkdokur, İnci M. Baytaş, Arda Yurdakul, " Image Classification on Accelerated Neural Networks ", 6th Turkish High Performance Computing Conference, BAŞARIM’20, Oct. 8-9, 2020, Ankara, Turkey.

Oğuz K. Yüksel, İnci M. Baytaş, "Robust Training with Orthogonality Regularization", The 28th IEEE Conference on Signal Processing and Communication Applications, pp. 1-4, doi: 10.1109/SIU49456.2020.9302247, 2020.

Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou, "Heterogeneous Hyper-Network Embedding", ICDM, 2018.

Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou, "Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases", KDD, 2018.

Cao Xiao, Ying Li, Inci M. Baytas, Jiayu Zhou, Fei Wang, "An MCEM Framework for Drug Safety Signal Detection and Combination from Heterogeneous Real World Evidence ", Scientific Reports, vol. 8, Nature, 2018.

Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou, "Patient Subtyping via Time-Aware LSTM Networks", KDD, 2017.

Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou, "Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates", KDD, 2017.

Inci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou, "Asynchronous Multi-Task Learning", ICDM, 2016.

Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain and Jiayu Zhou, “PHENOTREE: Interactive Visual Analytics for Hierarchical Phenotyping from Large-Scale Electronic Health Records”, IEEE TMM, 2016.

Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain and Jiayu Zhou, “Stochastic Convex Sparse Principal Component Analysis”, EURASIP Journal on Bioinformatics and Systems Biology, 2016.

Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji and Jiayu Zhou, “Multi-Task Feature Interaction Learning”, KDD, 2016.

Qi Qian, Inci M. Baytas, Rong Jin, Anil K. Jain, Shenghuo Zhu, “Similarity Learning via Adaptive Regression and Its Application to Image Retrieval”, arXiv:1512.01728 [cs.LG], 2015.

Inci M. Baytas and Bilge Gunsel, “Head Motion Classification with 2D Motion Estimation”, IEEE 22nd Signal Processing and Communications Applications Conference (SIU), 2014.