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David Paydarfar
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2020 – today
- 2021
- [j6]Ian Zuzarte
, Dagmar Sternad
Predicting apneic events in preterm infants using cardio-respiratory and movement features. Comput. Methods Programs Biomed. 209: 106321 (2021) - [c14]Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh:
FaiR-N: Fair and Robust Neural Networks for Structured Data. AIES 2021: 946-955 - [i3]Samuel Liu, Christopher H. Bennett, Joseph S. Friedman, Matthew J. Marinella, David Paydarfar, Jean Anne C. Incorvia:
Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation. CoRR abs/2101.03095 (2021) - 2020
- [c13]Ian Zuzarte
Automated movement detection reveals features of maturation in preterm infants. EMBC 2020: 600-603 - [i2]Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh:
FaiR-N: Fair and Robust Neural Networks for Structured Data. CoRR abs/2010.06113 (2020)
2010 – 2019
- 2019
- [j5]Joshua Chang
Optimizing stimulus waveforms for electroceuticals. Biol. Cybern. 113(1-2): 191-199 (2019) - [c12]Laura F. Santoso, Faiz Baqai, Mary Gwozdz, Justina Lange, Matthew G. Rosenberger, James S. Sulzer, David Paydarfar:
Applying Machine Learning Algorithms for Automatic Detection of Swallowing from Sound. EMBC 2019: 2584-2588 - [c11]Alan H. Gee, Diego García-Olano, Joydeep Ghosh, David Paydarfar:
Explaining Deep Classification of Time-Series Data with Learned Prototypes. KDH@IJCAI 2019: 15-22 - [i1]Alan H. Gee, Diego García-Olano, Joydeep Ghosh, David Paydarfar:
Explaining Deep Classification of Time-Series Data with Learned Prototypes. CoRR abs/1904.08935 (2019) - 2018
- [c10]Alan H. Gee, Joshua Chang
Bayesian Online Changepoint Detection Of Physiological Transitions. EMBC 2018: 45-48 - [c9]David Paydarfar:
Optimizing stimulus waveforms for suppressing epileptic activity reveals a counterbalancing mechanism. EMBC 2018: 2226-2229 - 2017
- [j4]Alan H. Gee, Riccardo Barbieri
Predicting Bradycardia in Preterm Infants Using Point Process Analysis of Heart Rate. IEEE Trans. Biomed. Eng. 64(9): 2300-2308 (2017) - [c8]Venkata Naga Sai Apurupa Amperayani, Premananda Indic, Colm P. Travers, Riccardo Barbieri
An Algorithm for Risk Stratification of Preterm Infants. CinC 2017 - 2016
- [c7]Alan H. Gee, Riccardo Barbieri
Improving heart rate estimation in preterm infants with bivariate point process analysis of heart rate and respiration. EMBC 2016: 920-923 - 2015
- [c6]Alan H. Gee, Riccardo Barbieri
Uncovering statistical features of bradycardia severity in premature infants using a point process model. EMBC 2015: 5855-5858 - [c5]Joshua Chang
Optimal stimulus waveforms for eliciting a spike: How close is the spike-triggered average? NER 2015: 414-417 - 2014
- [j3]Joshua Chang
Switching neuronal state: optimal stimuli revealed using a stochastically-seeded gradient algorithm. J. Comput. Neurosci. 37(3): 569-582 (2014) - [c4]Ian Zuzarte
Transforming artifact to signal: A wavelet-based algorithm for quantifying neonatal movement. EMBC 2014: 5466-5469 - 2013
- [j2]Premananda Indic, David Paydarfar, Riccardo Barbieri
Point Process Modeling of Interbreath Interval: A New Approach for the Assessment of Instability of Breathing in Neonates. IEEE Trans. Biomed. Eng. 60(10): 2858-2866 (2013) - [c3]James R. Williamson, Daniel W. Bliss, David W. Browne, Premananda Indic, Elisabeth Bloch-Salisbury
Individualized apnea prediction in preterm infants using cardio-respiratory and movement signals. BSN 2013: 1-6 - 2011
- [j1]Daniel B. Forger
Optimal Stimulus Shapes for Neuronal Excitation. PLoS Comput. Biol. 7(7) (2011) - [c2]James R. Williamson, Daniel W. Bliss, David W. Browne, Premananda Indic, Elisabeth Bloch-Salisbury
Using physiological signals to predict apnea in preterm infants. ACSCC 2011: 1098-1102 - [c1]Premananda Indic, David Paydarfar, Riccardo Barbieri
A point process model of respiratory dynamics in early physiological development. EMBC 2011: 3804-3807
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