Inci M. Baytas

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 19

Top Topics

Mild Cognitive Impairment

Sparse Principal Component Analysis

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Ogulcan Özdemir, Inci M. Baytas, Lale Akarun
Hand Graph Topology Selection for Skeleton-Based Sign Language Recognition. FG (2024)
Inci M. Baytas
Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks. IEEE J. Biomed. Health Informatics 28 (6) (2024)
Ilkay Sikdokur, Inci M. Baytas, Arda Yurdakul
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence. CoRR (2023)
Inci M. Baytas, Debayan Deb
Robustness-via-synthesis: Robust training with generative adversarial perturbations. Neurocomputing 516 (2023)
Inci M. Baytas, Yifan Peng, Arzucan Özgür
Editorial: Pattern recognition for healthcare analytics. Frontiers Digit. Health 5 (2023)
Ilkay Sikdokur, Inci M. Baytas, Arda Yurdakul
Image Classification on Accelerated Neural Networks. CoRR (2022)
Inci M. Baytas, Debayan Deb
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations. CoRR (2021)
Deniz Sezin Ayvaz, Inci M. Baytas
Investigating Conversion from Mild Cognitive Impairment to Alzheimer's Disease using Latent Space Manipulation. CoRR (2021)
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)
Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. CoRR (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)
Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou
Multi-Task Feature Interaction Learning. KDD (2016)
Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou
Stochastic convex sparse principal component analysis. EURASIP J. Bioinform. Syst. Biol. 2016 (2016)
Inci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou
Asynchronous Multi-Task Learning. CoRR (2016)
Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou
PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records. IEEE Trans. Multim. 18 (11) (2016)
Qi Qian, Inci M. Baytas, Rong Jin, Anil K. Jain, Shenghuo Zhu
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval. CoRR (2015)
Inci M. Baytas, Bilge Günsel
Head motion classification with 2D motion estimation. SIU (2014)