Follow
İnci M. Baytaş
İnci M. Baytaş
Assistant Professor at Bogazici University
Verified email at boun.edu.tr - Homepage
Title
Cited by
Cited by
Year
Patient subtyping via time-aware LSTM networks
IM Baytas, C Xiao, X Zhang, F Wang, AK Jain, J Zhou
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
6722017
Privacy-preserving distributed multi-task learning with asynchronous updates
L Xie, IM Baytas, K Lin, J Zhou
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
552017
Asynchronous multi-task learning
IM Baytas, M Yan, AK Jain, J Zhou
2016 IEEE 16th International Conference on Data Mining (ICDM), 11-20, 2016
492016
Multi-task feature interaction learning
K Lin, J Xu, IM Baytas, S Ji, J Zhou
Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge …, 2016
372016
Heterogeneous hyper-network embedding
IM Baytas, C Xiao, F Wang, AK Jain, J Zhou
2018 IEEE International Conference on Data Mining (ICDM), 875-880, 2018
342018
An MCEM Framework for Drug Safety Signal Detection and Combination from Heterogeneous Real World Evidence
C Xiao, Y Li, I Baytas, J Zhou, F Wang
Scientific Reports 8, 2018
252018
PhenoTree: interactive visual analytics for hierarchical phenotyping from large-scale electronic health records
IM Baytas, K Lin, F Wang, AK Jain, J Zhou
IEEE Transactions on Multimedia 18 (11), 2257-2270, 2016
232016
Subspace network: Deep multi-task censored regression for modeling neurodegenerative diseases
M Sun, IM Baytas, L Zhan, Z Wang, J Zhou
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
152018
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
IM Baytas, C Xiao, X Zhang, F Wang, AK Jain, J Zhou
92017
Robustness-via-synthesis: Robust training with generative adversarial perturbations
İM Baytaş, D Deb
Neurocomputing 516, 49-60, 2023
72023
Investigating conversion from mild cognitive impairment to alzheimer’s disease using latent space manipulation
DS Ayvaz, İM Baytaş
The International Symposium on Health Informatics and Bioinformatics, https …, 2022
62022
Stochastic convex sparse principal component analysis
IM Baytas, K Lin, F Wang, AK Jain, J Zhou
EURASIP Journal on Bioinformatics and Systems Biology 2016, 1-11, 2016
62016
Similarity learning via adaptive regression and its application to image retrieval
Q Qian, IM Baytas, R Jin, A Jain, S Zhu
arXiv preprint arXiv:1512.01728, 2015
32015
Contributions to Machine Learning in Biomedical Informatics
IM Baytas
Michigan State University, 2019
22019
Multi-cue temporal modeling for skeleton-based sign language recognition
Ö Oğulcan, IM Baytaş, L Akarun
Frontiers in Neuroscience 17, 2023
12023
Image Classification on Accelerated Neural Networks
I Sikdokur, I Baytas, A Yurdakul
arXiv preprint arXiv:2203.11081, 2022
12022
Adversarial training with orthogonal regularization
OK Yüksel, İM Baytaş
2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020
12020
Head motion classification with 2D motion estimation
İM Baytaş, B Günsel
2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014
12014
Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks
İM Baytaş
IEEE Journal of Biomedical and Health Informatics, 2024
2024
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence
I Sikdokur, İM Baytaş, A Yurdakul
arXiv preprint arXiv:2307.14381, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–20