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ORCIDInci M. Baytas
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2020 – today
- 2024
[j7]Ilkay Sikdokur
, Inci M. Baytas, Arda Yurdakul:
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence. IEEE Access 12: 168314-168327 (2024)- [j6]Inci Meliha Baytas, Ipek Erdogan:
Signer-independent sign language recognition with feature disentanglement. Turkish J. Electr. Eng. Comput. Sci. 32(3): 420-435 (2024) - [j5]Inci M. Baytas:
Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks. IEEE J. Biomed. Health Informatics 28(6): 3750-3761 (2024) - [c9]Ogulcan Özdemir, Inci M. Baytas, Lale Akarun:
Hand Graph Topology Selection for Skeleton-Based Sign Language Recognition. FG 2024: 1-5 - 2023
- [j4]Inci M. Baytas, Yifan Peng, Arzucan Özgür:
Editorial: Pattern recognition for healthcare analytics. Frontiers Digit. Health 5 (2023) - [j3]Inci M. Baytas, Debayan Deb:
Robustness-via-synthesis: Robust training with generative adversarial perturbations. Neurocomputing 516: 49-60 (2023) - [i7]Ilkay Sikdokur, Inci M. Baytas, Arda Yurdakul:
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence. CoRR abs/2307.14381 (2023) - 2022
- [i6]Ilkay Sikdokur, Inci M. Baytas, Arda Yurdakul:
Image Classification on Accelerated Neural Networks. CoRR abs/2203.11081 (2022) - 2021
- [i5]Inci M. Baytas, Debayan Deb:
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations. CoRR abs/2108.09713 (2021) - [i4]Deniz Sezin Ayvaz, Inci M. Baytas:
Investigating Conversion from Mild Cognitive Impairment to Alzheimer's Disease using Latent Space Manipulation. CoRR abs/2111.08794 (2021) - 2020
- [c8]Oguz Kaan Yüksel, Inci Meliha Baytas:
Adversarial Training with Orthogonal Regularization. SIU 2020: 1-4
2010 – 2019
- 2018
- [c7]Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou:
Heterogeneous Hyper-Network Embedding. ICDM 2018: 875-880 - [c6]Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou:
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. KDD 2018: 2259-2268 - [i3]Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou:
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. CoRR abs/1802.06516 (2018) - 2017
- [c5]Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou:
Patient Subtyping via Time-Aware LSTM Networks. KDD 2017: 65-74 - [c4]Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou:
Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates. KDD 2017: 1195-1204 - 2016
- [j2]Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou:
Stochastic convex sparse principal component analysis. EURASIP J. Bioinform. Syst. Biol. 2016: 15 (2016) - [j1]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): 2257-2270 (2016) - [c3]Inci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou:
Asynchronous Multi-task Learning. ICDM 2016: 11-20 - [c2]Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou:
Multi-Task Feature Interaction Learning. KDD 2016: 1735-1744 - [i2]Inci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou:
Asynchronous Multi-Task Learning. CoRR abs/1609.09563 (2016) - 2015
- [i1]Qi Qian, Inci M. Baytas, Rong Jin, Anil K. Jain, Shenghuo Zhu:
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval. CoRR abs/1512.01728 (2015) - 2014
- [c1]Inci M. Baytas, Bilge Günsel:
Head motion classification with 2D motion estimation. SIU 2014: 325-328
Coauthor Index
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