Inci M. Baytas

According to our database1, Inci M. Baytas authored at least 16 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Editorial: Pattern recognition for healthcare analytics.
Frontiers Digit. Health, March, 2023

Robustness-via-synthesis: Robust training with generative adversarial perturbations.
Neurocomputing, 2023

EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence.
CoRR, 2023

2022
Image Classification on Accelerated Neural Networks.
CoRR, 2022

2021
Investigating Conversion from Mild Cognitive Impairment to Alzheimer's Disease using Latent Space Manipulation.
CoRR, 2021

2020
Adversarial Training with Orthogonal Regularization.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

2018
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Heterogeneous Hyper-Network Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Patient Subtyping via Time-Aware LSTM Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records.
IEEE Trans. Multim., 2016

Stochastic convex sparse principal component analysis.
EURASIP J. Bioinform. Syst. Biol., 2016

Multi-Task Feature Interaction Learning.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Asynchronous Multi-task Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval.
CoRR, 2015

2014
Head motion classification with 2D motion estimation.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014


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