Alex daSilva

Social Psychology · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Social Psychology — 13 citations into it
• Artificial Intelligence — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Alex daSilva trusts overall

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

1. K. Kroenke
2. Jerome H. Friedman
3. Robert Tibshirani
4. R. Spitzer

Papers from Alex daSilva's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. The sensitivity and specificity of the Major Depression Inventory, using the Present State Examination as the index of diagnostic validity. (Journal of Affective Disorders)
3. Greedy function approximation: A gradient boosting machine.
4. The PHQ-8 as a measure of current depression in the general population. (Journal of Affective Disorders)
5. Controlling the false discovery rate: a practical and powerful approach to multiple testing
6. R: A language and environment for statistical computing.
7. Long Short-Term Memory
8. The PHQ-9: A new depression diagnostic and severity measure
9. The Mobile Sensing Platform: An Embedded Activity Recognition System (IEEE pervasive computing)
10. The Smartphone Addiction Scale: Development and Validation of a Short Version for Adolescents (PLoS ONE)

Their papers

• Mental Health and Behavior of College Students During the Early Phases of the COVID-19 Pandemic: Longitudinal Smartphone and Ecological Momentary Assessment Study (2020) — 617 citations
• Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing (2018) — 357 citations