Lan Umek

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Information Systems — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Lan Umek trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Steven Bird
2. Nees Jan van Eck
3. Jesse Davis

Papers from Lan Umek's perspective

Ordered by how strongly the researchers Lan Umek trusts endorse each paper. Same corpus, a different order for every researcher.

1. LIBLINEAR: A Library for Large Linear Classification
2. The quickhull algorithm for convex hulls
3. Scikit-learn: Machine Learning in Python
4. LIBSVM: A library for support vector machines
5. NLTK: The Natural Language Toolkit
6. PyBrain
7. SciPy: Open Source Scientific Tools for Python
8. An Updated Set of Basic Linear Algebra Subprograms Blas
9. Software survey: VOSviewer, a computer program for bibliometric mapping (Scientometrics)
10. The psychological impact of quarantine and how to reduce it: rapid review of the evidence (The Lancet)

Their papers

• Impacts of the COVID-19 Pandemic on Life of Higher Education Students: A Global Perspective (2020) — 1,597 citations
• A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape (2020) — 152 citations
• Orange: data mining toolbox in python (2013) — 2,143 citations