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AL: autogenerating supervised learning programs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/csla.1996.0011openalex-snapshot
A maximum entropy approach to adaptive statistical language modelling
inferredcites →https://doi.org/10.1007/978-3-030-05318-5_4openalex-snapshot
Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA
inferredcites →https://doi.org/10.1007/978-3-319-58347-1_10openalex-snapshot
Domain-Adversarial Training of Neural Networks
inferredcites →https://doi.org/10.1007/978-3-642-25566-3_40openalex-snapshot
Sequential Model-Based Optimization for General Algorithm Configuration
inferredcites →https://doi.org/10.1007/s10044-012-0280-zopenalex-snapshot
Automatic classifier selection for non-experts
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1016/j.neucom.2006.03.004openalex-snapshot
A meta-learning approach to automatic kernel selection for support vector machines
inferredcites →https://doi.org/10.1023/b:mach.0000015878.60765.42openalex-snapshot
Introduction to the Special Issue on Meta-Learning
inferredcites →https://doi.org/10.1073/pnas.1207156109openalex-snapshot
Gender, social norms, and survival in maritime disasters
inferredcites →https://doi.org/10.1109/icde.2017.109openalex-snapshot
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics
inferredcites →https://doi.org/10.1145/2594291.2594321openalex-snapshot
Code completion with statistical language models
inferredcites →https://doi.org/10.1145/2666356.2594321openalex-snapshot
Code completion with statistical language models
inferredcites →https://doi.org/10.1145/2786805.2786849openalex-snapshot
Suggesting accurate method and class names
inferredcites →https://doi.org/10.1145/2908812.2908918openalex-snapshot
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
inferredcites →https://doi.org/10.1145/2970276.2970326openalex-snapshot
Deep learning code fragments for code clone detection
inferredcites →https://doi.org/10.1145/3009837.3009851openalex-snapshot
Component-based synthesis for complex APIs
inferredcites →https://doi.org/10.1145/3062341.3062351openalex-snapshot
Component-based synthesis of table consolidation and transformation tasks from examples
inferredcites →https://doi.org/10.1145/3093333.3009851openalex-snapshot
Component-based synthesis for complex APIs
inferredcites →https://doi.org/10.1186/s13040-017-0154-4openalex-snapshot
PMLB: a large benchmark suite for machine learning evaluation and comparison
inferredcites →https://doi.org/10.1609/aaai.v31i1.10734openalex-snapshot
Neural Programming by Example
inferredcites →https://doi.org/10.1613/jair.1336openalex-snapshot
Can We Learn to Beat the Best Stock
inferredcites →https://doi.org/10.25080/majora-92bf1922-00aopenalex-snapshot
Data Structures for Statistical Computing in Python
inferredcites →https://doi.org/10.25080/majora-92bf1922-011openalex-snapshot
Statsmodels: Econometric and Statistical Modeling with Python
inferredcites →https://doi.org/10.25080/pfvc8793openalex-snapshot
Proceedings of the 7th Python in Science Conference
inferredcites →https://doi.org/10.48550/arxiv.1309.0238openalex-snapshot
API design for machine learning software: experiences from the scikit-learn project
inferredcites →https://doi.org/10.48550/arxiv.1703.05698openalex-snapshot
Neural Sketch Learning for Conditional Program Generation
inferredcites →https://doi.org/10.5555/1953048.2021078openalex-snapshot
MULAN: A Java Library for Multi-Label Learning
inferredcites →https://doi.org/10.5555/2337223.2337322openalex-snapshot
On the naturalness of software
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00778-024-00835-2openalex-snapshot
Assisted design of data science pipelines
inferred← citeshttps://doi.org/10.1016/j.jss.2023.111934openalex-snapshot
A survey on machine learning techniques applied to source code
inferred← citeshttps://doi.org/10.1021/acs.analchem.6c01315openalex-snapshot
Artificial Intelligence-Enhanced Lateral Flow Assays: Applications, Advantages, and Future Perspective
inferred← citeshttps://doi.org/10.1145/3368089.3409700openalex-snapshot
AMS: generating AutoML search spaces from weak specifications
inferred← citeshttps://doi.org/10.1145/3449205openalex-snapshot
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team
inferred← citeshttps://doi.org/10.1145/3516431.3516435openalex-snapshot
Federated Data Science to Break Down Silos [Vision]
inferred← citeshttps://doi.org/10.1145/3517034openalex-snapshot
TF-Coder: Program Synthesis for Tensor Manipulations
inferred← citeshttps://doi.org/10.14778/3551793.3551804openalex-snapshot
A scalable AutoML approach based on graph neural networks
inferred← citeshttps://doi.org/10.15381/rpcs.v6i2.28857openalex-snapshot
Inteligencia Artificial y sus subcampos de estudio: una revisión histórica
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