Information theory for atypical sequences. - Anders Høst-Madsen; Elyas Sabeti; Chad Walton (ITW, 2013)

Atypicality for vector Gaussian models. - Elyas Sabeti; Anders Høst-Madsen (GlobalSIP, 2015)

Atypical information theory for real-valued data. - Anders Høst-Madsen; Elyas Sabeti (ISIT, 2015)

Atypicality for the class of exponential family. - Elyas Sabeti; Anders Høst-Madsen (Allerton, 2016)

Universal data discovery using atypicality. - Anders Høst-Madsen; Elyas Sabeti; Chad Walton; Su Jun Lim (IEEE BigData, 2016)

How interesting images are: An atypicality approach for social networks. - Elyas Sabeti; Anders Høst-Madsen (IEEE BigData, 2016)

Enhanced MDL with application to atypicality. - Elyas Sabeti; Anders Høst-Madsen (ISIT, 2017)

Data Discovery and Anomaly Detection Using Atypicality: Signal Processing Methods. - Elyas Sabeti; Anders Høst-Madsen (CoRR, 2017)

Atypicality for Heart Rate Variability Using a Pattern-Tree Weighting Method. - Elyas Sabeti; Anders Høst-Madsen (CoRR, 2017)

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)

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 (EMBC, 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)

Data Discovery and Anomaly Detection Using Atypicality for Real-Valued Data. - Elyas Sabeti; Anders Høst-Madsen (Entropy, 2019)

Data Discovery and Anomaly Detection Using Atypicality: Theory. - Anders Høst-Madsen; Elyas Sabeti; Chad Walton (IEEE Trans. Inf. Theory, 2019)

Pattern-Based Analysis of Time Series: Estimation. - Elyas Sabeti; Peter X. K. Song; Alfred O. Hero III (ISIT, 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)

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)

Data Discovery Using Lossless Compression-Based Sparse Representation. - Elyas Sabeti; Peter X. K. Song; Alfred O. Hero III (ICASSP, 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)

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)

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)

A Pattern Dictionary Method for Anomaly Detection. - Elyas Sabeti; Sehong Oh 002; Peter X. K. Song; Alfred O. Hero III (Entropy, 2022)