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Ankush Chakrabarty

Showing results (1-10 of 13) with videos related to

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IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 3, 2017
Highly Accurate and Efficient Data-Driven Methods for Genotype ImputationOlivia Choudhury, Ankush Chakrabarty, Scott J Emrich
Scientific Reports|July 4, 2018
HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative LearningOlivia Choudhury, Ankush Chakrabarty, Scott J Emrich
Wiley Interdisciplinary Reviews. Systems Biology and Medicine|January 8, 2013
Model-based design of experiments for cellular processesAnkush Chakrabarty, Gregery T Buzzard, Ann E Rundell
Ifac-Papersonline|April 12, 2021
Nonlinear Model Predictive Control For Circadian Entrainment Using Small-Molecule PharmaceuticalsJohn H Abel, Ankush Chakrabarty, Francis J Doyle
IEEE Transactions on Bio-Medical Engineering|May 26, 2017
Event-Triggered Model Predictive Control for Embedded Artificial Pancreas SystemsAnkush Chakrabarty, Stamatina Zavitsanou, Francis J Doyle, et al.
Molecular Biology Reports|October 23, 2012
An integrated pathway system modeling of Saccharomyces cerevisiae HOG pathway: a Petri net based approachNamrata Tomar, Olivia Choudhury, Ankush Chakrabarty, et al.
IEEE Transactions on Cybernetics|July 23, 2020
Active Learning for Estimating Reachable Sets for Systems With Unknown DynamicsAnkush Chakrabarty, Claus Danielson, Stefano Di Cairano, et al.
Automatica : the Journal of IFAC, the International Federation of Automatic Control|November 2, 2019
Pharmaceutical-based entrainment of circadian phase via nonlinear model predictive controlJohn H Abel, Ankush Chakrabarty, Elizabeth B Klerman, et al.
IEEE Transactions on Control Systems Technology : a Publication of the IEEE Control Systems Society|March 25, 2021
Embedded Model Predictive Control for a Wearable Artificial PancreasAnkush Chakrabarty, Elizabeth Healey, Dawei Shi, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 24, 2020
Safe Approximate Dynamic Programming via Kernelized Lipschitz EstimationAnkush Chakrabarty, Devesh K Jha, Gregery T Buzzard, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 3, 2017
Highly Accurate and Efficient Data-Driven Methods for Genotype ImputationOlivia Choudhury, Ankush Chakrabarty, Scott J Emrich
Scientific Reports|July 4, 2018
HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative LearningOlivia Choudhury, Ankush Chakrabarty, Scott J Emrich
Wiley Interdisciplinary Reviews. Systems Biology and Medicine|January 8, 2013
Model-based design of experiments for cellular processesAnkush Chakrabarty, Gregery T Buzzard, Ann E Rundell
Ifac-Papersonline|April 12, 2021
Nonlinear Model Predictive Control For Circadian Entrainment Using Small-Molecule PharmaceuticalsJohn H Abel, Ankush Chakrabarty, Francis J Doyle
IEEE Transactions on Bio-Medical Engineering|May 26, 2017
Event-Triggered Model Predictive Control for Embedded Artificial Pancreas SystemsAnkush Chakrabarty, Stamatina Zavitsanou, Francis J Doyle, et al.
Molecular Biology Reports|October 23, 2012
An integrated pathway system modeling of Saccharomyces cerevisiae HOG pathway: a Petri net based approachNamrata Tomar, Olivia Choudhury, Ankush Chakrabarty, et al.
IEEE Transactions on Cybernetics|July 23, 2020
Active Learning for Estimating Reachable Sets for Systems With Unknown DynamicsAnkush Chakrabarty, Claus Danielson, Stefano Di Cairano, et al.
Automatica : the Journal of IFAC, the International Federation of Automatic Control|November 2, 2019
Pharmaceutical-based entrainment of circadian phase via nonlinear model predictive controlJohn H Abel, Ankush Chakrabarty, Elizabeth B Klerman, et al.
IEEE Transactions on Control Systems Technology : a Publication of the IEEE Control Systems Society|March 25, 2021
Embedded Model Predictive Control for a Wearable Artificial PancreasAnkush Chakrabarty, Elizabeth Healey, Dawei Shi, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 24, 2020
Safe Approximate Dynamic Programming via Kernelized Lipschitz EstimationAnkush Chakrabarty, Devesh K Jha, Gregery T Buzzard, et al.
Pageof 2