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Scikit-learn: machine learning in Python

15 Pith papers cite this work. Polarity classification is still indexing.

15 Pith papers citing it
abstract

Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing machine learning to non-specialists using a general-purpose high-level language. Emphasis is put on ease of use, performance, documentation, and API consistency. It has minimal dependencies and is distributed under the simplified BSD license, encouraging its use in both academic and commercial settings. Source code, binaries, and documentation can be downloaded from http://scikit-learn.org.

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2026 15

representative citing papers

Is She Even Relevant? When BERT Ignores Explicit Gender Cues

cs.CL · 2026-05-08 · conditional · novelty 7.0

A Dutch BERT model encodes gender linearly by epoch 20 but does not dynamically update its representations when explicit female cues contradict learned stereotypical associations in short sentence templates.

Galactic Amnesia: The Information Washout of the Milky Way Merger History

astro-ph.GA · 2026-05-05 · unverdicted · novelty 6.0

Mutual information analysis of TNG50 simulations shows gravitational potential and total energy retain merger mass and infall time information longest, while radial velocity loses it within ~5 Gyr, with washout depending on radius, merger age, and mass.

The Hubble sequence in JWST CEERS from unbiased galaxy morphologies

astro-ph.GA · 2026-04-09 · conditional · novelty 6.0

A Hubble-like sequence of galaxy morphologies exists by redshift 4, with low-mass galaxies as persistent star-forming disks and massive galaxies following either stable disk or rapid compaction-quenching paths.

4D Vessel Reconstruction for Benchtop Thrombectomy Analysis

eess.IV · 2026-04-08 · conditional · novelty 5.0

A nine-camera multi-view workflow with 4D Gaussian Splatting reconstructs dynamic vessel surfaces in thrombectomy phantoms to enable standardized comparative displacement and stress-proxy tracking.

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Showing 15 of 15 citing papers.