Inci M. Baytas

30 papers A* 7B 2Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Channel-Attentive Graph Neural Networks.
CoRR
Tugrul Hasan Karabulut, Inci M. Baytas
2025 J jnl
Conversion-aware forecasting of Alzheimer's disease via featurewise attention.
Pattern Anal. Appl.
Elvan Karasu, Inci M. Baytas
2025 J jnl
Cross Attentive Multi-Cue Fusion for Skeleton-Based Sign Language Recognition.
IEEE Access
Ogulcan Özdemir, Inci M. Baytas, Lale Akarun
2025 J jnl
Local Virtual Nodes for Alleviating Over-Squashing in Graph Neural Networks.
CoRR
Tugrul Hasan Karabulut, Inci M. Baytas
2025 J jnl
STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings.
CoRR
Mehmet Efe Akça, Gökçe Uludogan, Arzucan Özgür, Inci M. Baytas
2025 J jnl
The 2nd International Workshop on Pattern Recognition in Healthcare Analytics 2023 Preface.
J. Comput. Biol.
Inci M. Baytas
2024 B conf
Adversarial Robustness for Deep Metric Learning.
ICIP
Ezgi Paket, Inci M. Baytas
2024 A* conf
Channel-Attentive Graph Neural Networks.
ICDM
Tugrul Hasan Karabulut, Inci M. Baytas
2024 J jnl
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence.
IEEE Access
Ilkay Sikdokur, Inci M. Baytas, Arda Yurdakul
2024 B conf
Hand Graph Topology Selection for Skeleton-Based Sign Language Recognition.
FG
Ogulcan Özdemir, Inci M. Baytas, Lale Akarun
2024 — conf
Out-of-Distribution Detection with Prototype Similarity.
ICKG
Ozan Özgür, Inci M. Baytas
2024 J jnl
Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks.
IEEE J. Biomed. Health Informatics
Inci M. Baytas
2023 J jnl
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence.
CoRR
Ilkay Sikdokur, Inci M. Baytas, Arda Yurdakul
2023 J jnl
Editorial: Pattern recognition for healthcare analytics.
Frontiers Digit. Health
Inci M. Baytas, Yifan Peng, Arzucan Özgür
2023 J jnl
Robustness-via-synthesis: Robust training with generative adversarial perturbations.
Neurocomputing
Inci M. Baytas, Debayan Deb
2022 J jnl
Image Classification on Accelerated Neural Networks.
CoRR
Ilkay Sikdokur, Inci M. Baytas, Arda Yurdakul
2021 J jnl
Investigating Conversion from Mild Cognitive Impairment to Alzheimer's Disease using Latent Space Manipulation.
CoRR
Deniz Sezin Ayvaz, Inci M. Baytas
2021 J jnl
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations.
CoRR
Inci M. Baytas, Debayan Deb
2018 A* conf
Heterogeneous Hyper-Network Embedding.
ICDM
Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou
2018 A* conf
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases.
KDD
Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou
2018 J jnl
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases.
CoRR
Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou
2017 A* conf
Patient Subtyping via Time-Aware LSTM Networks.
KDD
Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou
2017 A* conf
Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates.
KDD
Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou
2016 J jnl
Asynchronous Multi-Task Learning.
CoRR
Inci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou
2016 A* conf
Asynchronous Multi-task Learning.
ICDM
Inci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou
2016 A* conf
Multi-Task Feature Interaction Learning.
KDD
Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou
2016 J jnl
PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records.
IEEE Trans. Multim.
Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou
2016 J jnl
Stochastic convex sparse principal component analysis.
EURASIP J. Bioinform. Syst. Biol.
Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou
2015 J jnl
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval.
CoRR
Qi Qian, Inci M. Baytas, Rong Jin, Anil K. Jain, Shenghuo Zhu
2014 — conf
Head motion classification with 2D motion estimation.
SIU
Inci M. Baytas, Bilge Günsel