Arash Pakbin

PhD student, Computer Science, Texas A&M

Joined

March 2019

Names

Arash Pakbin (Preferred)

Emails

****@tamu.edu (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

PhD student

Computer Science, Texas A&M (tamu.edu)

2021 – Present

MS student

Computer Science, Texas A&M (tamu.edu)

2017 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Bobak J Mortazavi

2017 – 2025

Expertise

No areas of expertise listed

Publications

Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards
Zhale Nowroozilarki, Arash Pakbin, James Royalty, Donald K. K. Lee, Bobak J. Mortazavi
- 2021 (modified: 20 Sept 2021)
- BHI 2021
- Readers: Everyone
BoXHED 2.0: Scalable boosting of functional data in survival analysis
Arash Pakbin, Xiaochen Wang, Bobak J. Mortazavi, Donald K. K. Lee
- 2021 (modified: 20 Sept 2021)
- CoRR 2021
- Readers: Everyone
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi
- 2020 (modified: 06 Feb 2024)
- CoRR 2020
- Readers: Everyone
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Xiaochen Wang, Arash Pakbin, Bobak Mortazavi, Hongyu Zhao, Donald K. K. Lee
- 2020 (modified: 11 Feb 2025)
- ICML 2020
- Readers: Everyone
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Xiaochen Wang, Arash Pakbin, Bobak J. Mortazavi, Hongyu Zhao, Donald K. K. Lee
- 2020 (modified: 11 Feb 2025)
- CoRR 2020
- Readers: Everyone
A human-centered wearable sensing platform with intelligent automated data annotation capabilities
Roger Solis, Arash Pakbin, Ali Akbari, Bobak J. Mortazavi, Roozbeh Jafari
- 2019 (modified: 06 Feb 2024)
- IoTDI 2019
- Readers: Everyone
Prediction of ICU Readmissions Using Data at Patient Discharge
Arash Pakbin, Parvez Rafi, Nate Hurley, Wade L. Schulz, Harlan M. Krumholz, Bobak Jack Mortazavi
- 2018 (modified: 06 Feb 2024)
- EMBC 2018
- Readers: Everyone

Arash Pakbin

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards

BoXHED 2.0: Scalable boosting of functional data in survival analysis

Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery

BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates

BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates

A human-centered wearable sensing platform with intelligent automated data annotation capabilities

Prediction of ICU Readmissions Using Data at Patient Discharge

Co-Authors