about
P1343
Efficient and Robust Automated Machine LearningGrowing Wikipedia Across Languages via RecommendationAPI design for machine learning software: experiences from the scikit-learn projectThe role of gender in social network organization.A simple but tough-to-beat baseline for the Fake News Challenge stance detection taskProvenance information in a collaborative knowledge graph: an evaluation of Wikidata external referencesClassifier Ensembles That Push the State-of-the-Art in Sentiment Analysis of Spanish TweetsAssessing Levels of Attention Using Low Cost Eye TrackingOpen semantic analysis: The case of word level semantics in DanishCorrelations between human mobility and social interaction reveal general activity patterns.Text comparison using word vector representations and dimensionality reductionAutomatic Detection of Cyberbullying in Social Media TextStance Detection in Tweets Using a Majority Vote ClassifierInferring visual semantic similarity with deep learning and Wikidata: Introducing imagesim-353Detecting Biased Statements in WikipediaTowards a principled approach to sense clustering – a case study of wordnet and dictionary senses in DanishFinding Prerequisite Relations Using the Wikipedia ClickstreamOffensive Language and Hate Speech Detection for DanishPolitical Stance in DanishAutomated Assessment of Language Proficiency on German DataDealing with word ambiguity in NLP. Building appropriate sense representations for Danish sense tagging by combining word embeddings with wordnet sensesEnriching BERT with Knowledge Graph Embeddings for Document ClassificationBuilding Sense Representations in Danish by Combining Word Embeddings with Lexical ResourcesWikidata based Location Entity LinkingSoftware for Creating and Analyzing Semantic Representations
P2860
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P2860
description
2011 nî lūn-bûn
@nan
2011 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Scikit-learn: Machine Learning in Python
@ast
Scikit-learn: Machine Learning in Python
@da
Scikit-learn: Machine Learning in Python
@en
type
label
Scikit-learn: Machine Learning in Python
@ast
Scikit-learn: Machine Learning in Python
@da
Scikit-learn: Machine Learning in Python
@en
prefLabel
Scikit-learn: Machine Learning in Python
@ast
Scikit-learn: Machine Learning in Python
@da
Scikit-learn: Machine Learning in Python
@en
P2093
P50
P1476
Scikit-learn: Machine Learning in Python
@en
P2093
Alexandre Passos
Fabian Pedregosa
Jake Vanderplas
Mathieu Blondel
Matthieu Brucher
Matthieu Perrot
Olivier Grisel
Peter Prettenhofer
Vincent Dubourg
P304
P407
P577
2011-10-01T00:00:00Z