Anahita Khojandi
Orcid: 0000-0001-6818-2048
According to our database1,
Anahita Khojandi
authored at least 42 papers
between 2014 and 2024.
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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
ACM Comput. Surv., February, 2024
Dynamic joint sensor selection and maintenance optimization in partially observable deteriorating systems.
Comput. Ind. Eng., January, 2024
Comput. Secur., 2024
2023
Optimizing Patient-Specific Medication Regimen Policies Using Wearable Sensors in Parkinson's Disease.
Manag. Sci., October, 2023
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
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
IEEE Trans. Intell. Transp. Syst., 2022
A Machine Learning-Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction.
INFORMS J. Comput., 2022
Comput. Ind. Eng., 2022
Secure Analytics for Embedded Systems through Machine Learning Applications using TrustZones.
Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022
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
IEEE Trans. Intell. Transp. Syst., 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
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
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
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
Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling.
Frontiers Comput. Neurosci., 2018
2017
Proceedings of the 2017 Winter Simulation Conference, 2017
2014
INFORMS J. Comput., 2014