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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
4842017
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
482017
Asynchronous multi-task learning
IM Baytas, M Yan, AK Jain, J Zhou
2016 IEEE 16th International Conference on Data Mining (ICDM), 11-20, 2016
442016
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
312016
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
262018
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
212018
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
212016
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
112018
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
62017
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), 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
Adversarial training with orthogonal regularization
OK YŁksel, İM Baytaş
2020 28th Signal Processing and Communications Applications Conference (SIU†…, 2020
22020
Contributions to Machine Learning in Biomedical Informatics
IM Baytas
Michigan State University, 2019
22019
Head motion classification with 2D motion estimation
İM Baytaş, B GŁnsel
2014 22nd Signal Processing and Communications Applications Conference (SIU†…, 2014
12014
Robustness-via-synthesis: Robust training with generative adversarial perturbations
İM Baytaş, D Deb
Neurocomputing 516, 49-60, 2023
2023
Image Classification on Accelerated Neural Networks
I Sikdokur, I Baytas, A Yurdakul
arXiv preprint arXiv:2203.11081, 2022
2022
Investigating Conversion from Mild Cognitive Impairment to Alzheimer's Disease using Latent Space Manipulation
DS Ayvaz, IM Baytas
arXiv preprint arXiv:2111.08794, 2021
2021
Sıft Akışı İle Sayısal Video Sabitleme
İM Baytaş
Fen Bilimleri EnstitŁsŁ, 0
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Articles 1–18