Who Cited It

Scikit-learn: Machine Learning in Python

2012 · ORBi (University of Liège) · 64,025 citations · 23 from inside this corpus

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron J. Weiss, Vincent Dubourg low, Jake Vanderplas, Alexandre Passos low, David Cournapeau, Matthieu Brucher low, Matthieu Perrot low, Édouard Duchesnay

The source holds an abstract for this work, but its best open-access copy is under other-oa, which does not permit us to republish the text. Read it at the source below.

Scikit-learn: Machine Learning in Python (2012)Scikit-learn: Machine Learnin…Array programming with NumPy (2020)Array programming with NumPy"Why Should I Trust You?" (2016)"Why Should I Trust You?"SciPy 1.0: fundamental algorithms for scientific computing in Python (2019)SciPy 1.0: fundamental algori…Machine Learning: Algorithms, Real-World Applications and Research Directions (2021)Machine Learning: Algorithms,…On hyperparameter optimization of machine learning algorithms: Theory and practice (2020)On hyperparameter optimizatio…A systematic study of the class imbalance problem in convolutional neural networks (2018)A systematic study of the cla…An Introduction to Deep Learning for the Physical Layer (2017)An Introduction to Deep Learn…Classification and mutation prediction from non–small cell lung cancer histopathology ima… (2018)Classification and mutation p…A survey on semi-supervised learning (2019)A survey on semi-supervised l…Automated Hate Speech Detection and the Problem of Offensive Language (2017)Automated Hate Speech Detecti…Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Researc… (2021)Deep Learning: A Comprehensiv…Deep Learning using Rectified Linear Units (ReLU) (2018)Deep Learning using Rectified…Scalable and accurate deep learning with electronic health records (2018)Scalable and accurate deep le…MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmenta… (2019)MultiResUNet : Rethinking the…Maximum Classifier Discrepancy for Unsupervised Domain Adaptation (2018)A Dataset for Breast Cancer Histopathological Image Classification (2015)A Dataset for Breast Cancer H…API design for machine learning software: experiences from the scikit-learn project (2013)API design for machine learni…AutoML: A survey of the state-of-the-art (2020)AutoML: A survey of the state…Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions f… (2013)Making a Science of Model Sea…Orange: data mining toolbox in python (2013)Orange: data mining toolbox i…Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine … (2016)Imbalanced-learn: A Python To…Anomaly Detection with Robust Deep Autoencoders (2017)Anomaly Detection with Robust…Automated Machine Learning (2019)Automated Machine Learning
23 of 23 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What cites it, inside the corpus

PaperYearCited
Array programming with NumPy202018,812
"Why Should I Trust You?"201616,210
SciPy 1.0: fundamental algorithms for scientific computing in Python201911,588
Machine Learning: Algorithms, Real-World Applications and Research Directions20215,368
On hyperparameter optimization of machine learning algorithms: Theory and practice20203,249
A systematic study of the class imbalance problem in convolutional neural networks20183,072
An Introduction to Deep Learning for the Physical Layer20173,005
Classification and mutation prediction from non–small cell lung cancer histopathology ima…20182,987
A survey on semi-supervised learning20192,636
Automated Hate Speech Detection and the Problem of Offensive Language20172,538
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Researc…20212,537
Deep Learning using Rectified Linear Units (ReLU)20182,511
Scalable and accurate deep learning with electronic health records20182,398
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmenta…20192,334
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation20182,280
A Dataset for Breast Cancer Histopathological Image Classification20151,822
API design for machine learning software: experiences from the scikit-learn project20131,804
AutoML: A survey of the state-of-the-art20201,705
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions f…20131,645
Orange: data mining toolbox in python20131,636
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine …20161,561
Anomaly Detection with Robust Deep Autoencoders20171,472
Automated Machine Learning20191,451

Links

DOI · Open access copy · OpenAlex record

Topics

Computational Physics and Python ApplicationsComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports16 author record(s) attached.
  • supports13 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…