# Machine Learning — PUBLICMCP Public Library

Highly cited published articles on machine learning, deep learning, and statistical learning theory from OpenAlex.

- Source institution: OpenAlex
- Set id: `openalex-set-machine-learning`
- Items: 193
- Canonical page: https://publicmcp.org/library/machine-learning

## Query via MCP (no API key)

```
search_library(query="machine learning", source="openalex")
# endpoint: https://library.publicmcp.org/mcp — no API key required
```

## Sample items (25 of 193)

- [Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next](https://doi.org/10.1007/s10915-022-01939-z)
- [An open source machine learning framework for efficient and transparent systematic reviews](https://doi.org/10.1038/s42256-020-00287-7)
- [Crop yield prediction using machine learning: A systematic literature review](https://doi.org/10.1016/j.compag.2020.105709)
- [Optimising the value of the critical appraisal skills programme (CASP) tool for quality appraisal in qualitative evidence synthesis](https://doi.org/10.1177/2632084320947559)
- [Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects](https://doi.org/10.1108/bpmj-10-2019-0411)
- [Consensus statement for stability assessment and reporting for perovskite photovoltaics based on ISOS procedures](https://doi.org/10.1038/s41560-019-0529-5)
- [Entrepreneurial ecosystem elements](https://doi.org/10.1007/s11187-019-00270-6)
- [Machine learning algorithm validation with a limited sample size](https://doi.org/10.1371/journal.pone.0224365)
- [Proceedings of the Human Factors and Ergonomics Society 2019 Annual Meeting](https://doi.org/10.1177/1071181319631171)
- [Recent advances and applications of machine learning in solid-state materials science](https://doi.org/10.1038/s41524-019-0221-0)
- [Machine Learning Interpretability: A Survey on Methods and Metrics](https://doi.org/10.3390/electronics8080832)
- [Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network](https://doi.org/10.1145/3292500.3330672)
- [Gradual Internationalization vs Born-Global/International new venture models](https://doi.org/10.1108/imr-10-2018-0280)
- [Model Cards for Model Reporting](https://doi.org/10.1145/3287560.3287596)
- [Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories](https://doi.org/10.1177/2158244019829575)
- [Understanding blockchain technology for future supply chains: a systematic literature review and research agenda](https://doi.org/10.1108/scm-03-2018-0148)
- [Flood Prediction Using Machine Learning Models: Literature Review](https://doi.org/10.3390/w10111536)
- [Flexible Coding of In-depth Interviews: A Twenty-first-century Approach](https://doi.org/10.1177/0049124118799377)
- [The iNaturalist Species Classification and Detection Dataset](https://doi.org/10.1109/cvpr.2018.00914)
- [Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (tsfresh – A Python package)](https://doi.org/10.1016/j.neucom.2018.03.067)
- [What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability](https://doi.org/10.3390/su10010247)
- [Directed qualitative content analysis: the description and elaboration of its underpinning methods and data analysis process](https://doi.org/10.1177/1744987117741667)
- [On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services](https://doi.org/10.1080/07421222.2018.1440766)
- [Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization](https://doi.org/10.1137/16m1082469)
- [LightGBM: A Highly Efficient Gradient Boosting Decision Tree](https://hal.science/hal-03953007)

## About

Part of the PUBLICMCP Public Library — a free, open MCP server exposing 2.7M+ primary sources to AI agents. Every item is attributed and linked to its originating institution. Hub: https://publicmcp.org/library · Index: https://publicmcp.org/library/index.md · Site guide: https://publicmcp.org/llms.txt