Lidia Contreras-Ochando
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
Whom Lidia Contreras-Ochando trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Lidia Contreras-Ochando's perspective
Ordered by how strongly the researchers Lidia Contreras-Ochando trusts endorse each paper. Same corpus, a different order for every researcher.
- A Linear Non-Gaussian Acyclic Model for Causal Discovery
- The Book of Why: The New Science of Cause and Effect
- The end of theory: The data deluge makes the scientific method obsolete
- Advances in Knowledge Discovery and Data Mining
- Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms
- Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
- CRISP-DM 1.0: Step-by-step data mining guide
- Data science and prediction (CACM)
- Big Data, new epistemologies and paradigm shifts
- The seven tools of causal inference, with reflections on machine learning
Their papers
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) — 2,561 citations
- CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories (2021) — 337 citations