Elyas Sabeti

According to our database, Elyas Sabeti authored at least 22 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

A Pattern Dictionary Method for Anomaly Detection.

Elyas Sabeti, Sehong Oh, Peter X. K. Song, Alfred O. Hero III

Entropy, 2022

2021

Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome.

Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Elisa Warner, Michael W. Sjoding, Jonathan Gryak, Kayvan Najarian

IEEE J. Biomed. Health Informatics, 2021

Erratum to: Machine learning approaches and databases for prediction of drug-target interaction: a survey paper.

Maryam Bagherian, Elyas Sabeti, Kai Wang, Maureen A. Sartor, Zaneta Nikolovska-Coleska, Kayvan Najarian

Briefings Bioinform., 2021

Machine learning approaches and databases for prediction of drug-target interaction: a survey paper.

Maryam Bagherian, Elyas Sabeti, Kai Wang, Maureen A. Sartor, Zaneta Nikolovska-Coleska, Kayvan Najarian

Briefings Bioinform., 2021

Data Discovery Using Lossless Compression-Based Sparse Representation.

Elyas Sabeti, Peter X. K. Song, Alfred O. Hero III

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network.

Mohsen Hajabdollahi, Reza Esfandiarpoor, Elyas Sabeti, Nader Karimi, S. M. Reza Soroushmehr, Shadrokh Samavi

Biomed. Signal Process. Control., 2020

Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome.

Narathip Reamaroon, Michael W. Sjoding, Harm Derksen, Elyas Sabeti, Jonathan Gryak, Ryan P. Barbaro, Brian D. Athey, Kayvan Najarian

BMC Medical Imaging, 2020

Pattern-Based Analysis of Time Series: Estimation.

Elyas Sabeti, Peter X. K. Song, Alfred O. Hero III

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Data Discovery and Anomaly Detection Using Atypicality: Theory.

Anders Høst-Madsen, Elyas Sabeti, Chad Walton

IEEE Trans. Inf. Theory, 2019

Data Discovery and Anomaly Detection Using Atypicality for Real-Valued Data.

Elyas Sabeti, Anders Høst-Madsen

Entropy, 2019

Learning Using Concave and Convex Kernels: Applications in Predicting Quality of Sleep and Level of Fatigue in Fibromyalgia.

Elyas Sabeti, Jonathan Gryak, Harm Derksen, Craig Biwer, Sardar Ansari, Howard Isenstein, Anna Kratz, Kayvan Najarian

Entropy, 2019

Detection of Acute Respiratory Distress Syndrome by Incorporation of Label Uncertainty and Partially Available Privileged Information.

Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Jonathan Gryak, Michael W. Sjoding, Kayvan Najarian

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network.

Mohsen Hajabdollahi, Reza Esfandiarpoor, Elyas Sabeti, Nader Karimi, Kayvan Najarian, S. M. Reza Soroushmehr, Shadrokh Samavi

CoRR, 2018

2017

Atypicality for Heart Rate Variability Using a Pattern-Tree Weighting Method.

Elyas Sabeti, Anders Høst-Madsen

CoRR, 2017

Data Discovery and Anomaly Detection Using Atypicality: Signal Processing Methods.

Elyas Sabeti, Anders Høst-Madsen

CoRR, 2017

Enhanced MDL with application to atypicality.

Elyas Sabeti, Anders Høst-Madsen

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016

How interesting images are: An atypicality approach for social networks.

Elyas Sabeti, Anders Høst-Madsen

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Universal data discovery using atypicality.

Anders Høst-Madsen, Elyas Sabeti, Chad Walton, Su Jun Lim

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Atypicality for the class of exponential family.

Elyas Sabeti, Anders Høst-Madsen

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Atypical information theory for real-valued data.

Anders Høst-Madsen, Elyas Sabeti

Proceedings of the IEEE International Symposium on Information Theory, 2015

Atypicality for vector Gaussian models.

Elyas Sabeti, Anders Høst-Madsen

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2013

Information theory for atypical sequences.

Anders Høst-Madsen, Elyas Sabeti, Chad Walton

Proceedings of the 2013 IEEE Information Theory Workshop, 2013