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Prasanna Balaprakash

Showing results (1-10 of 7) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|September 29, 2023
A Gradient-Aware Search Algorithm for Constrained Markov Decision ProcessesSami Khairy, Prasanna Balaprakash, Lin X Cai
Accident; Analysis and Prevention|August 22, 2022
A data-centric weak supervised learning for highway traffic incident detectionYixuan Sun, Tanwi Mallick, Prasanna Balaprakash, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 5, 2024
Revisiting the problem of learning long-term dependencies in recurrent neural networksLiam Johnston, Vivak Patel, Yumian Cui, et al.
Scientific Reports|December 29, 2019
Phase Segmentation in Atom-Probe Tomography Using Deep Learning-Based Edge DetectionSandeep Madireddy, Ding-Wen Chung, Troy Loeffler, et al.
Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry|October 14, 2025
Toward a Generalizable Prediction Model of Molten Salt Mixture Density with Chemistry-Informed Transfer LearningJulian Barra, Shayan Shahbazi, Anthony Birri, et al.
BMC Bioinformatics|December 23, 2018
CANDLE/Supervisor: a workflow framework for machine learning applied to cancer researchJustin M Wozniak, Rajeev Jain, Prasanna Balaprakash, et al.
Briefings in Bioinformatics|September 15, 2021
A cross-study analysis of drug response prediction in cancer cell linesFangfang Xia, Jonathan Allen, Prasanna Balaprakash, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|September 29, 2023
A Gradient-Aware Search Algorithm for Constrained Markov Decision ProcessesSami Khairy, Prasanna Balaprakash, Lin X Cai
Accident; Analysis and Prevention|August 22, 2022
A data-centric weak supervised learning for highway traffic incident detectionYixuan Sun, Tanwi Mallick, Prasanna Balaprakash, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 5, 2024
Revisiting the problem of learning long-term dependencies in recurrent neural networksLiam Johnston, Vivak Patel, Yumian Cui, et al.
Scientific Reports|December 29, 2019
Phase Segmentation in Atom-Probe Tomography Using Deep Learning-Based Edge DetectionSandeep Madireddy, Ding-Wen Chung, Troy Loeffler, et al.
Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry|October 14, 2025
Toward a Generalizable Prediction Model of Molten Salt Mixture Density with Chemistry-Informed Transfer LearningJulian Barra, Shayan Shahbazi, Anthony Birri, et al.
BMC Bioinformatics|December 23, 2018
CANDLE/Supervisor: a workflow framework for machine learning applied to cancer researchJustin M Wozniak, Rajeev Jain, Prasanna Balaprakash, et al.
Briefings in Bioinformatics|September 15, 2021
A cross-study analysis of drug response prediction in cancer cell linesFangfang Xia, Jonathan Allen, Prasanna Balaprakash, et al.
Pageof 1