Pablo Moscato
researcher
Facts
7 properties
🏷️ Also known as
en Pablo Moscato
🔖 Identifiers · 10
- ISNI
- 0000000358503914
- ORCID iD
- 0000-0003-2570-5966
- VIAF cluster ID
- 209764729
- OpenAlex ID
- A5041229487, A5136558090as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 13/5176
- Google Scholar author ID
- cc3Ym4gAAAAJ
- IdRef ID
- 190840935
- National Library of Israel J9U ID
- 987007369405305171
- Scopus author ID
- 6602098908
- Yale LUX ID
- person/ac097d67-a1d3-4527-97cc-e5e3e23b5ffa
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 17
A comparative analysis of deep neural network architectures for sentence classification using genetic algorithm,
A Memetic Algorithm for Symbolic Regression,
An adaptive memetic algorithm for feature selection using proximity graphs,
Analytic Continued Fractions for Regression: A Memetic Algorithm Approach,
Analytic Continued Fractions for Regression: Results on 352 datasets from the physical sciences,
Anomaly Detection via Mining Numerical Workflow Relations from Logs,
A Novel Clustering Methodology Based on Modularity Optimisation for Detecting Authorship Affinities in Shakespearean Era Plays,
Clustering Consumers Based on Trust, Confidence and Giving Behaviour: Data-Driven Model Building for Charitable Involvement in the Australian Not-For-Profit Sector
+9 more
← Authored by 17
A comparative analysis of deep neural network architectures for sentence classification using genetic algorithm,
A Memetic Algorithm for Symbolic Regression,
An adaptive memetic algorithm for feature selection using proximity graphs,
Analytic Continued Fractions for Regression: A Memetic Algorithm Approach,
Analytic Continued Fractions for Regression: Results on 352 datasets from the physical sciences,
Anomaly Detection via Mining Numerical Workflow Relations from Logs,
A Novel Clustering Methodology Based on Modularity Optimisation for Detecting Authorship Affinities in Shakespearean Era Plays,
Clustering Consumers Based on Trust, Confidence and Giving Behaviour: Data-Driven Model Building for Charitable Involvement in the Australian Not-For-Profit Sector
+9 more
Affiliated with 2
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