Bobak Mortazavi

According to our database1, Bobak Mortazavi authored at least 55 papers between 2011 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Temporal relationship of computed and structured diagnoses in electronic health record data.
BMC Medical Informatics Decis. Mak., 2021

A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders.
ACM Trans. Comput. Heal., 2021

BoXHED 2.0: Scalable boosting of functional data in survival analysis.
CoRR, 2021

Personalized Meal Classification Using Continuous Glucose Monitors.
Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

Self-Damaging Contrastive Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Towards The Development of Subject-Independent Inverse Metabolic Models.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Sparse Coding Approach to Automatic Diet Monitoring with Continuous Glucose Monitors.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Using Intelligent Personal Annotations to Improve Human Activity Recognition for Movements in Natural Environments.
IEEE J. Biomed. Health Informatics, 2020

Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks.
Proceedings of the Machine Learning for Healthcare Conference, 2020

Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention.
Proceedings of the Machine Learning for Healthcare Conference, 2020

GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Generate Clinically Coherent Chest X-Ray Reports.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020

Reinforcement Learning using EEG signals for Therapeutic Use of Music in Emotion Management.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Explainable Prediction of Adverse Outcomes Using Clinical Notes.
CoRR, 2019

A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders.
CoRR, 2019

Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping.
CoRR, 2019

A human-centered wearable sensing platform with intelligent automated data annotation capabilities.
Proceedings of the International Conference on Internet of Things Design and Implementation, 2019

Tagging wearable accelerometers in camera frames through information translation between vision sensors and accelerometers.
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019

Sparse Embedding for Interpretable Hospital Admission Prediction.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Predicting the meal macronutrient composition from continuous glucose monitors.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
A Survey on Smart Homes for Aging in Place: Toward Solutions to the Specific Needs of the Elderly.
IEEE Signal Process. Mag., 2018

Prediction of ICU Readmissions Using Data at Patient Discharge.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures.
IEEE J. Biomed. Health Informatics, 2017

Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems.
IEEE Trans. Biomed. Eng., 2017

2016
A Prediction Model for Functional Outcomes in Spinal Cord Disorder Patients Using Gaussian Process Regression.
IEEE J. Biomed. Health Informatics, 2016

Improving biomedical signal search results in big data case-based reasoning environments.
Pervasive Mob. Comput., 2016

User-optimized activity recognition for exergaming.
Pervasive Mob. Comput., 2016

Probabilistic segmentation of time-series audio signals using Support Vector Machines.
Microprocess. Microsystems, 2016

2015
Can Smartwatches Replace Smartphones for Posture Tracking?
Sensors, 2015

Context-Aware Data Processing to Enhance Quality of Measurements in Wireless Health Systems: An Application to MET Calculation of Exergaming Actions.
IEEE Internet Things J., 2015

Multiple model recognition for near-realistic exergaming.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communications, 2015

Impact of sensor misplacement on estimating metabolic equivalent of task with wearables.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015

2014
Realistic-Motion Activity Recognition.
PhD thesis, 2014

Near-Realistic Mobile Exergames With Wireless Wearable Sensors.
IEEE J. Biomed. Health Informatics, 2014

Designing a Robust Activity Recognition Framework for Health and Exergaming Using Wearable Sensors.
IEEE J. Biomed. Health Informatics, 2014

User-centric exergaming with fine-grain activity recognition: a dynamic optimization approach.
Proceedings of the 2014 ACM Conference on Ubiquitous Computing, 2014

Determining the Single Best Axis for Exercise Repetition Recognition and Counting on SmartWatches.
Proceedings of the 2014 11th International Conference on Wearable and Implantable Body Sensor Networks, 2014

Anti-Cheating: Detecting Self-Inflicted and Impersonator Cheaters for Remote Health Monitoring Systems with Wearable Sensors.
Proceedings of the 2014 11th International Conference on Wearable and Implantable Body Sensor Networks, 2014

2013
A Pervasive Assessment of Motor Function: A Lightweight Grip Strength Tracking System.
IEEE J. Biomed. Health Informatics, 2013

Remote patient monitoring: what impact can data analytics have on cost?
Proceedings of the Wireless Health 2013, 2013

MET calculations from on-body accelerometers for exergaming movements.
Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013

Multi-dimensional signal search with applications in remote medical monitoring.
Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013

Objective assessment of overexcited hand movements using a lightweight sensory device.
Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013

Robust human intensity-varying activity recognition using Stochastic Approximation in wearable sensors.
Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013

2012
Aggregated Indexing of Biomedical Time Series Data.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Dynamic Task Optimization in Remote Diabetes Monitoring Systems.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

High performance biomedical time series indexes using salient segmentation.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Near-Realistic Motion Video Games with Enforced Activity.
Proceedings of the 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks, 2012

A Monte Carlo approach to biomedicai time series search.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
A Wireless Body-wearable Sensor System for Designing Physically Interactive Video Games.
Proceedings of the BIODEVICES 2011, 2011


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