Yla R. Tausczik
Social Psychology · 2010–2019
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 84 researchers here, as inferred from the citation graph.
Subfields
- Social Psychology — 17 citations into it; #514 of 15,694 by trust here, #1,623 by citations
- Artificial Intelligence — 13 citations into it; #3,025 of 35,345 by trust here, #5,924 by citations
- Clinical Psychology — 10 citations into it
Whom Yla R. Tausczik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthias R. Mehl
- James W. Pennebaker
- A. Graesser
- Samuel D. Gosling
- Danielle S. McNamara
- Max M. Louwerse
Who trusts Yla R. Tausczik overall
- Maarten Sap
- Weiwei Jiang
- Kai Hong
- Laura K. Nelson
- Jeffrey T. Hancock
- Hannah Rashkin
- Catalina L. Toma
- Tanushree Mitra
- Yang Bao
- Alessandro Vinciarelli
Papers from Yla R. Tausczik's perspective
Ordered by how strongly the researchers Yla R. Tausczik trusts endorse each paper. Same corpus, a different order for every researcher.
- Personality in its natural habitat: manifestations and implicit folk theories of personality in daily life. (Journal of Personality and Social Psychology)
- Coh-Metrix: Analysis of text on cohesion and language (Behavoir research methods, instruments & computers)
- Efficient and Robust Automated Machine Learning
- Scikit-learn: Machine Learning in Python
- Voyagers and voyeurs: supporting asynchronous collaborative information visualization (International Conference on Human Factors in Computing Systems)
- Power to the People: The Role of Humans in Interactive Machine Learning (The AI Magazine)
- Greedy function approximation: A gradient boosting machine.
- Wrangler: interactive visual specification of data transformation scripts
- Interactive dynamics for visual analysis (Communications of the ACM)
- Investigating statistical machine learning as a tool for software development
Their papers
- The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2010) — 5,387 citations
- Human-AI Collaboration in Data Science (2019) — 338 citations