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ORCID18th SciPy 2019, Austin, Texas
- Chris Calloway
, David Lippa, Dillon Niederhut, David Shupe:
Proceedings of the 18th Python in Science Conference 2019 (SciPy 2019), Austin, Texas, July 8 - July 14, 2019. scipy.org 2019 - Eric Van Dusen, Anthony Suen, Alan Liang, Amal Bhatnagar:
Accelerating the Advancement of Data Science Education. 1-4 - Hongsup Shin:
Case study: Real-world machine learning application for hardware failure detection. 5-12 - Kyle Logue, Esteban L. Vallés, Andres Vila, Alex Utter, Darren Semmen, Eugene Grayver, Sebastian Olsen, Donna Branchevsky:
Expert RF Feature Extraction to Win the Army RCO AI Signal Classification Challenge. 13-20 - Andres Vila, Donna Branchevsky, Kyle Logue, Sebastian Olsen, Esteban Valles, Darren Semmen, Alex Utter, Eugene Grayver:
Deep and Ensemble Learning to Win the Army RCO AI Signal Classification Challenge. 21-26 - Bradley D. Dice, Vyas Ramasubramani, Eric S. Harper, Matthew P. Spellings, Joshua A. Anderson, Sharon C. Glotzer:
Analyzing Particle Systems for Machine Learning and Data Visualization with freud. 27-33 - Chiranth Siddappa, Mark A. Wickert:
CAF Implementation on FPGA Using Python Tools. 34-41 - Christian McDaniel, Shannon Quinn:
Developing a Graph Convolution-Based Analysis Pipeline for Multi-Modal Neuroimage Data: An Application to Parkinson's Disease. 42-49 - Eric J. Ma, Zachary Barry, Sam Zuckerman, Zachary Sailer:
pyjanitor: A Cleaner API for Cleaning Data. 50-53 - Geoffrey M. Poore:
Codebraid: Live Code in Pandoc Markdown. 54-61 - Jasmine Otto, Angus G. Forbes, Jan Verschelde:
Solving Polynomial Systems with phcpy. 62-68 - Laurie Stephey, Rollin C. Thomas, Stephen J. Bailey:
Optimizing Python-Based Spectroscopic Data Processing on NERSC Supercomputers. 69-76 - Mark A. Wickert:
A Real-Time 3D Audio Simulator for Cognitive Hearing Science. 77-84 - Nadia Tahiri, Bogdan Mazoure, Vladimir Makarenkov:
An intelligent shopping list based on the application of partitioning and machine learning algorithms. 85-92 - Paul R. Miles, Ralph C. Smith:
Parameter Estimation Using the Python Package pymcmcstat. 93-100 - Edward Raff, Joe Aurelio, Charles Nicholas:
PyLZJD: An Easy to Use Tool for Machine Learning. 101-106 - Rajeswari Sivakumar, Shannon Quinn:
Parkinson's Classification and Feature Extraction from Diffusion Tensor Images. 107-110 - Robert Jackson, Scott M. Collis, Timothy Lang, Corey K. Potvin, Todd S. Munson:
PyDDA: A new Pythonic Wind Retrieval Package. 111-117 - Scott Sievert, Tom Augspurger, Matthew Rocklin:
Better and faster hyperparameter optimization with Dask. 118-125 - Shammamah Hossain:
Visualization of Bioinformatics Data with Dash Bio. 126-133 - Shujie Fan, Max Linke, Ioannis Paraskevakos, Richard J. Gowers, Michael Gecht, Oliver Beckstein:
PMDA - Parallel Molecular Dynamics Analysis. 134-
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