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Lawrence Holder

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

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Sensors (Basel, Switzerland)|June 6, 2018
Sensor Network Configuration Learning for Maximizing Application PerformanceJoel Helkey, Lawrence Holder
Sensors (Basel, Switzerland)|July 27, 2019
Improving IoT Predictions through the Identification of Graphical FeaturesSyeda Akter, Lawrence Holder
Environmental Epigenetics|December 22, 2023
Identifying unique exposure-specific transgenerational differentially DNA methylated region epimutations in the genome using hybrid deep learning prediction modelsPegah Mavaie, Lawrence Holder, Michael Skinner
BMC Bioinformatics|November 7, 2023
Hybrid deep learning approach to improve classification of low-volume high-dimensional dataPegah Mavaie, Lawrence Holder, Michael K Skinner
BMC Bioinformatics|December 1, 2021
Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approachPegah Mavaie, Lawrence Holder, Daniel Beck, et al.
Scientific Reports|November 5, 2024
Scalable deep learning artificial intelligence histopathology slide analysis and validationColin Greeley, Lawrence Holder, Eric E Nilsson, et al.
Journal of Alzheimer'S Disease : JAD|November 15, 2021
Partnering a Compensatory Application with Activity-Aware Prompting to Improve Use in Individuals with Amnestic Mild Cognitive Impairment: A Randomized Controlled Pilot Clinical TrialMaureen Schmitter-Edgecombe, Katelyn Brown, Catherine Luna, et al.
Pageof 1

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

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|June 6, 2018
Sensor Network Configuration Learning for Maximizing Application PerformanceJoel Helkey, Lawrence Holder
Sensors (Basel, Switzerland)|July 27, 2019
Improving IoT Predictions through the Identification of Graphical FeaturesSyeda Akter, Lawrence Holder
Environmental Epigenetics|December 22, 2023
Identifying unique exposure-specific transgenerational differentially DNA methylated region epimutations in the genome using hybrid deep learning prediction modelsPegah Mavaie, Lawrence Holder, Michael Skinner
BMC Bioinformatics|November 7, 2023
Hybrid deep learning approach to improve classification of low-volume high-dimensional dataPegah Mavaie, Lawrence Holder, Michael K Skinner
BMC Bioinformatics|December 1, 2021
Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approachPegah Mavaie, Lawrence Holder, Daniel Beck, et al.
Scientific Reports|November 5, 2024
Scalable deep learning artificial intelligence histopathology slide analysis and validationColin Greeley, Lawrence Holder, Eric E Nilsson, et al.
Journal of Alzheimer'S Disease : JAD|November 15, 2021
Partnering a Compensatory Application with Activity-Aware Prompting to Improve Use in Individuals with Amnestic Mild Cognitive Impairment: A Randomized Controlled Pilot Clinical TrialMaureen Schmitter-Edgecombe, Katelyn Brown, Catherine Luna, et al.
Pageof 1