Anahita Khojandi

Orcid: 0000-0001-6818-2048

According to our database1, Anahita Khojandi authored at least 42 papers between 2014 and 2024.

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

2024
Differential Responses to Low- and High-Frequency Subthalamic Nucleus Deep Brain Stimulation on Sensor-Measured Components of Bradykinesia in Parkinson's Disease.
Sensors, July, 2024

Bias in Reinforcement Learning: A Review in Healthcare Applications.
ACM Comput. Surv., February, 2024

Dynamic joint sensor selection and maintenance optimization in partially observable deteriorating systems.
Comput. Ind. Eng., January, 2024

RRIoT: Recurrent reinforcement learning for cyber threat detection on IoT devices.
Comput. Secur., 2024

2023
Optimizing Patient-Specific Medication Regimen Policies Using Wearable Sensors in Parkinson's Disease.
Manag. Sci., October, 2023

Optimizing Substance Use Treatment Selection Using Reinforcement Learning.
ACM Trans. Manag. Inf. Syst., June, 2023

Real-time sensor-based prediction of soil moisture in green infrastructure: A case study.
Environ. Model. Softw., April, 2023

Determining the Most Significant Metadata Features to Indicate Defective Software Commits.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

A Deep Learning-Based Approach for Vehicle Motion Prediction in Autonomous Driving.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

Towards Faster Gene Expression Prediction via Dimensionality Reduction and Feature Selection.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Applying Deep Reinforcement Learning for Detection of Internet-of- Things Cyber Attacks.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

2022
A Dynamic Deep Reinforcement Learning-Bayesian Framework for Anomaly Detection.
IEEE Trans. Intell. Transp. Syst., 2022

A Machine Learning-Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction.
INFORMS J. Comput., 2022

Q-learning and traditional methods on solving the pocket Rubik's cube.
Comput. Ind. Eng., 2022

Secure Analytics for Embedded Systems through Machine Learning Applications using TrustZones.
Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Adapting Random Forests to Predict Obesity-Associated Gene Expression.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors.
IEEE Trans. Intell. Transp. Syst., 2021

Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application.
IEEE J. Biomed. Health Informatics, 2021

Improving Medication Regimen Recommendation for Parkinson's Disease Using Sensor Technology.
Sensors, 2021

HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study.
Comput. Biol. Medicine, 2021

Using Verb Fluency, Natural Language Processing, and Machine Learning to Detect Alzheimer's Disease.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Evaluating the Fitness-to-Drive Using Evoked Visual Responses in Alzheimer's Disease.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Predicting Severity in People with Aphasia: A Natural Language Processing and Machine Learning Approach.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Hidden Markov models as recurrent neural networks: An application to Alzheimer's disease.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020
Real-Time Sensor Anomaly Detection and Identification in Automated Vehicles.
IEEE Trans. Intell. Transp. Syst., 2020

On the k-Strong Roman Domination Problem.
Discret. Appl. Math., 2020

Hidden Markov models are recurrent neural networks: A disease progression modeling application.
CoRR, 2020

Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation.
CoRR, 2020

Optimizing Individualized Treatment Planning for Parkinson's Disease Using Deep Reinforcement Learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Predicting Alzheimer's Disease Using Driving Simulator Data.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study.
IEEE J. Biomed. Health Informatics, 2019

Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.
J. Heal. Informatics Res., 2019

A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.
J. Heal. Informatics Res., 2019

A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.
Int. J. Medical Informatics, 2019

Automatic EEG classification: a path to smart and connected sleep interventions.
Ann. Oper. Res., 2019

An Optimization via Agent-based Simulation Framework to Integrate Stochastic Programming with Human Introduced Uncertainty.
Proceedings of the 2019 Winter Simulation Conference, 2019

On the Extension of Schelling's Segregation Model.
Proceedings of the 2019 Winter Simulation Conference, 2019

A Path Towards Understanding Factors Affecting Crash Severity in Autonomous Vehicles Using Current Naturalistic Driving Data.
Proceedings of the Intelligent Systems and Applications, 2019

2018
Dynamic Abandon/Extract Decisions for Failed Cardiac Leads.
Manag. Sci., 2018

Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling.
Frontiers Comput. Neurosci., 2018

2017
An agent based model for joint placement of PV panels and green roofs.
Proceedings of the 2017 Winter Simulation Conference, 2017

2014
Optimal Implantable Cardioverter Defibrillator (ICD) Generator Replacement.
INFORMS J. Comput., 2014


  Loading...