Head motion classification with 2D motion estimation. - Inci M. Baytas; Bilge Günsel (SIU, 2014)

Similarity Learning via Adaptive Regression and Its Application to Image Retrieval. - Qi Qian 001; Inci M. Baytas; Rong Jin 001; Anil K. Jain 001; Shenghuo Zhu (CoRR, 2015)

Asynchronous Multi-task Learning. - Inci M. Baytas; Ming Yan; Anil K. Jain 001; Jiayu Zhou (ICDM, 2016)

Multi-Task Feature Interaction Learning. - Kaixiang Lin; Jianpeng Xu; Inci M. Baytas; Shuiwang Ji; Jiayu Zhou (KDD, 2016)

Stochastic convex sparse principal component analysis. - Inci M. Baytas; Kaixiang Lin; Fei Wang 001; Anil K. Jain 001; Jiayu Zhou (EURASIP J. Bioinform. Syst. Biol., 2016)

PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records. - Inci M. Baytas; Kaixiang Lin; Fei Wang 001; Anil K. Jain 001; Jiayu Zhou (IEEE Trans. Multim., 2016)

Patient Subtyping via Time-Aware LSTM Networks. - Inci M. Baytas; Cao Xiao; Xi Zhang; Fei Wang 001; Anil K. Jain 001; Jiayu Zhou (KDD, 2017)

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

Heterogeneous Hyper-Network Embedding. - Inci M. Baytas; Cao Xiao; Fei Wang 001; Anil K. Jain 001; Jiayu Zhou (ICDM, 2018)

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

Adversarial Training with Orthogonal Regularization. - Oguz Kaan Yüksel; Inci Meliha Baytas (SIU, 2020)

Investigating Conversion from Mild Cognitive Impairment to Alzheimer's Disease using Latent Space Manipulation. - Deniz Sezin Ayvaz; Inci M. Baytas (CoRR, 2021)

Image Classification on Accelerated Neural Networks. - Ilkay Sikdokur; Inci M. Baytas; Arda Yurdakul (CoRR, 2022)

Robustness-via-synthesis: Robust training with generative adversarial perturbations. - Inci M. Baytas; Debayan Deb (Neurocomputing, 2023)

Editorial: Pattern recognition for healthcare analytics. - Inci M. Baytas; Yifan Peng 002; Arzucan Özgür (Frontiers Digit. Health, 2023)

Hand Graph Topology Selection for Skeleton-Based Sign Language Recognition. - Ogulcan Özdemir; Inci M. Baytas; Lale Akarun (FG, 2024)

Out-of-Distribution Detection with Prototype Similarity. - Ozan Özgür; Inci M. Baytas (ICKG, 2024)

Channel-Attentive Graph Neural Networks. - Tugrul Hasan Karabulut; Inci M. Baytas (ICDM, 2024)

Adversarial Robustness for Deep Metric Learning. - Ezgi Paket; Inci M. Baytas (ICIP, 2024)

EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence. - Ilkay Sikdokur; Inci M. Baytas; Arda Yurdakul (IEEE Access, 2024)

Signer-independent sign language recognition with feature disentanglement. - Inci Meliha Baytas; Ipek Erdogan (Turkish J. Electr. Eng. Comput. Sci., 2024)

Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks. - Inci M. Baytas (IEEE J. Biomed. Health Informatics, 2024)

Cross Attentive Multi-Cue Fusion for Skeleton-Based Sign Language Recognition. - Ogulcan Özdemir; Inci M. Baytas; Lale Akarun (IEEE Access, 2025)

The 2nd International Workshop on Pattern Recognition in Healthcare Analytics 2023 Preface. - Inci M. Baytas (J. Comput. Biol., 2025)

Conversion-aware forecasting of Alzheimer's disease via featurewise attention. - Elvan Karasu; Inci M. Baytas (Pattern Anal. Appl., 2025)