Inci M. Baytas

According to our database, Inci M. Baytas authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks.

Inci M. Baytas

IEEE J. Biomed. Health Informatics, June, 2024

Signer-independent sign language recognition with feature disentanglement.

Inci Meliha Baytas, Ipek Erdogan

Turkish J. Electr. Eng. Comput. Sci., 2024

EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence.

Ilkay Sikdokur, Inci M. Baytas, Arda Yurdakul

IEEE Access, 2024

Hand Graph Topology Selection for Skeleton-Based Sign Language Recognition.

Ogulcan Özdemir, Inci M. Baytas, Lale Akarun

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2023

Editorial: Pattern recognition for healthcare analytics.

Inci M. Baytas, Yifan Peng, Arzucan Özgür

Frontiers Digit. Health, March, 2023

Robustness-via-synthesis: Robust training with generative adversarial perturbations.

Inci M. Baytas, Debayan Deb

Neurocomputing, 2023

2022

Image Classification on Accelerated Neural Networks.

Ilkay Sikdokur, Inci M. Baytas, Arda Yurdakul

CoRR, 2022

2021

Investigating Conversion from Mild Cognitive Impairment to Alzheimer's Disease using Latent Space Manipulation.

Deniz Sezin Ayvaz, Inci M. Baytas

CoRR, 2021

2020

Adversarial Training with Orthogonal Regularization.

Oguz Kaan Yüksel, Inci Meliha Baytas

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

2018

Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases.

Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Heterogeneous Hyper-Network Embedding.

Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates.

Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Patient Subtyping via Time-Aware LSTM Networks.

Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records.

Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou

IEEE Trans. Multim., 2016

Stochastic convex sparse principal component analysis.

Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou

EURASIP J. Bioinform. Syst. Biol., 2016

Multi-Task Feature Interaction Learning.

Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Asynchronous Multi-task Learning.

Inci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Similarity Learning via Adaptive Regression and Its Application to Image Retrieval.

Qi Qian, Inci M. Baytas, Rong Jin, Anil K. Jain, Shenghuo Zhu

CoRR, 2015

2014

Head motion classification with 2D motion estimation.

Inci M. Baytas, Bilge Günsel

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014