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Showing results 3 to 22 of 35 < previous   next >
Issue DateTitleAuthor(s)
2019Context-specific disease gene prediction and functional characterizationZhang, Ran
Jul-2020Data from "Signatures of a liquid-liquid transition in an ab initio deep neural network model for water"Gartner, Thomas III; Zhang, Linfeng; Piaggi, Pablo; Car, Roberto; Panagiotopoulos, Athanassios; Debenedetti, Pablo
2020Data-Driven Approaches and Systems to Interrogate Complex DiseaseDannenfelser, Ruth
Oct-2019Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devicesChurchill, R.M; the DIII-D team
2018Deoxyfluorination with Sulfonyl FluoridesNielsen, Matthew K
2018Dimension Reduction for Heterogeneous Populations of OscillatorsBERTALAN, THOMAS
2019Efficient Higher-Order Optimization for Machine LearningBullins, Brian Anderson
2014Estimation of Travel Time Distribution and Travel Time DerivativesWan, Ke
2020Exploring the potential of real-time fMRI to change thought trajectoriesMennen, Anne Caitlin
2012Extracting Information from High-Dimensional Data: Probabilistic Modeling, Inference and EvaluationPolatkan, Gungor
2015Feature Screening for the LassoWang, Yun
2-Mar-2020Fluorescence Reconstruction Microscopy Data: Keratinocyte (10x) Phase to Nuclei (DAPI)LaChance, Julienne; Cohen, Daniel
24-Feb-2020Fluorescence Reconstruction Microscopy Data: MDCK (20x) DIC to Nuclei (DAPI) and E-Cadherin (RFP)LaChance, Julienne; Cohen, Daniel
Apr-2020Fluorescence Reconstruction Microscopy: Complete Testing DatasetLaChance, Julienne; Cohen, Daniel
2016Integrated Asset Allocation Strategies: Application to Institutional InvestorsLin, Changle
Dec-2019Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTXWoods, B. J. Q.; Duarte, V. N.; Fredrickson, E. D.; Gorelenkov, N. N.; Podestà, M.; Vann, R. G. L.
Dec-2019Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTXWoods, B. J. Q.; Duarte, V. N.; Fredrickson, E. D.; Gorelenkov, N. N.; Podestà, M.; Vann, R. G. L.
2020Machine learning for multi-subject fMRI analysisZhang, Hejia
2014Machine Learning on GraphsEis, David Jeremy
2017Mapping Sub-Saharan African Agriculture in High-Resolution Satellite Imagery with Computer Vision & Machine LearningDebats, Stephanie Renee