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Orange: data mining toolbox in Python
J Demšar, T Curk, A Erjavec, Č Gorup… - the Journal of machine …, 2013 - dl.acm.org
Orange is a machine learning and data mining suite for data analysis through Python
scripting and visual programming. Here we report on the scripting part, which features …
scripting and visual programming. Here we report on the scripting part, which features …
Real-time selective sequencing using nanopore technology
M Loose, S Malla, M Stout - Nature methods, 2016 - nature.com
Abstract The Oxford Nanopore Technologies MinION sequencer enables the selection of
specific DNA molecules for sequencing by reversing the driving voltage across individual …
specific DNA molecules for sequencing by reversing the driving voltage across individual …
[LLIBRE][B] Image analysis, classification and change detection in remote sensing: with algorithms for Python
MJ Canty - 2019 - taylorfrancis.com
Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms
for Python, Fourth Edition, is focused on the development and implementation of statistically …
for Python, Fourth Edition, is focused on the development and implementation of statistically …
Learning scheme to predict atomic forces and accelerate materials simulations
V Botu, R Ramprasad - Physical Review B, 2015 - APS
The behavior of an atom in a molecule, liquid, or solid is governed by the force it
experiences. If the dependence of this vectorial force on the atomic chemical environment …
experiences. If the dependence of this vectorial force on the atomic chemical environment …
A comparative assessment of ensemble-based machine learning and maximum likelihood methods for map** seagrass using sentinel-2 imagery in Tauranga …
Seagrass has been acknowledged as a productive blue carbon ecosystem that is in
significant decline across much of the world. A first step toward conservation is the map** …
significant decline across much of the world. A first step toward conservation is the map** …
Various frameworks and libraries of machine learning and deep learning: a survey
Z Wang, K Liu, J Li, Y Zhu, Y Zhang - Archives of computational methods in …, 2019 - Springer
With the rapid development of deep learning in various fields, the big companies and
research teams have developed independent and unique tools. This paper collects 18 …
research teams have developed independent and unique tools. This paper collects 18 …
Machine learning and deep learning based time series prediction and forecasting of ten nations' COVID-19 pandemic
In the paper, the authors investigated and predicted the future environmental circumstances
of a COVID-19 to minimize its effects using artificial intelligence techniques. The …
of a COVID-19 to minimize its effects using artificial intelligence techniques. The …
Efficient real-time selective genome sequencing on resource-constrained devices
Background Third-generation nanopore sequencers offer selective sequencing or “Read
Until” that allows genomic reads to be analyzed in real time and abandoned halfway if not …
Until” that allows genomic reads to be analyzed in real time and abandoned halfway if not …
Evolopy-fs: An open-source nature-inspired optimization framework in python for feature selection
Feature selection is a necessary critical stage in data mining process. There is always an
arm race to build frameworks and libraries that ease and automate this process. In this …
arm race to build frameworks and libraries that ease and automate this process. In this …
Materials knowledge systems in python—a data science framework for accelerated development of hierarchical materials
There is a critical need for customized analytics that take into account the stochastic nature
of the internal structure of materials at multiple length scales in order to extract relevant and …
of the internal structure of materials at multiple length scales in order to extract relevant and …