David Paydarfar

According to our database, David Paydarfar authored at least 21 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation.

Samuel Liu, Christopher H. Bennett, Joseph S. Friedman, Matthew J. Marinella, David Paydarfar, Jean Anne C. Incorvia

CoRR, 2021

Predicting apneic events in preterm infants using cardio-respiratory and movement features.

Ian Zuzarte, Dagmar Sternad, David Paydarfar

Comput. Methods Programs Biomed., 2021

FaiR-N: Fair and Robust Neural Networks for Structured Data.

Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Automated movement detection reveals features of maturation in preterm infants.

Ian Zuzarte, Alan H. Gee, Dagmar Sternad, David Paydarfar

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Optimizing stimulus waveforms for electroceuticals.

Joshua Chang, David Paydarfar

Biol. Cybern., 2019

Explaining Deep Classification of Time-Series Data with Learned Prototypes.

Alan H. Gee, Diego García-Olano, Joydeep Ghosh, David Paydarfar

Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Applying Machine Learning Algorithms for Automatic Detection of Swallowing from Sound.

Laura F. Santoso, Faiz Baqai, Mary Gwozdz, Justina Lange, Matthew G. Rosenberger, James S. Sulzer, David Paydarfar

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Optimizing stimulus waveforms for suppressing epileptic activity reveals a counterbalancing mechanism.

David Paydarfar

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Bayesian Online Changepoint Detection Of Physiological Transitions.

Alan H. Gee, Joshua Chang, Joydeep Ghosh, David Paydarfar

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Predicting Bradycardia in Preterm Infants Using Point Process Analysis of Heart Rate.

Alan H. Gee, Riccardo Barbieri, David Paydarfar, Premananda Indic

IEEE Trans. Biomed. Eng., 2017

An Algorithm for Risk Stratification of Preterm Infants.

Venkata Naga Sai Apurupa Amperayani, Premananda Indic, Colm P. Travers, Riccardo Barbieri, David Paydarfar, Namasivayam Ambalavanan

Proceedings of the Computing in Cardiology, 2017

2016

Improving heart rate estimation in preterm infants with bivariate point process analysis of heart rate and respiration.

Alan H. Gee, Riccardo Barbieri, David Paydarfar, Premananda Indic

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Optimal stimulus waveforms for eliciting a spike: How close is the spike-triggered average?

Joshua Chang, David Paydarfar

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Uncovering statistical features of bradycardia severity in premature infants using a point process model.

Alan H. Gee, Riccardo Barbieri, David Paydarfar, Premananda Indic

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Switching neuronal state: optimal stimuli revealed using a stochastically-seeded gradient algorithm.

Joshua Chang, David Paydarfar

J. Comput. Neurosci., 2014

Transforming artifact to signal: A wavelet-based algorithm for quantifying neonatal movement.

Ian Zuzarte, Courtney Temple, Premananda Indic, David Paydarfar

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Point Process Modeling of Interbreath Interval: A New Approach for the Assessment of Instability of Breathing in Neonates.

Premananda Indic, David Paydarfar, Riccardo Barbieri

IEEE Trans. Biomed. Eng., 2013

Individualized apnea prediction in preterm infants using cardio-respiratory and movement signals.

James R. Williamson, Daniel W. Bliss, David W. Browne, Premananda Indic, Elisabeth Bloch-Salisbury, David Paydarfar

Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013

2011

Optimal Stimulus Shapes for Neuronal Excitation.

Daniel B. Forger, David Paydarfar, John R. Clay

PLoS Comput. Biol., 2011

A point process model of respiratory dynamics in early physiological development.

Premananda Indic, David Paydarfar, Riccardo Barbieri

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Using physiological signals to predict apnea in preterm infants.

James R. Williamson, Daniel W. Bliss, David W. Browne, Premananda Indic, Elisabeth Bloch-Salisbury, David Paydarfar

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011