2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Cheap and Powerful Tests for Supervised Subspaces: Per-Component Inference for PLS
Paweł Lenartowicz, Hubert Plisiecki
Partial Least Squares (PLS) regression extracts a few outcome-aligned directions in a high-dimensional X and is widely used across applied science, but inference on the resulting f…
cs.CL2026
Supervised Semantic Differential for Cross-Cultural Concept Analysis: A Case Study of Human Affect
Jan Sikora, Paweł Lenartowicz, Hubert Plisiecki
Cross-cultural comparison of psychological meaning requires methods that go beyond word-level translation and examine how semantic dimensions are organized across languages. We int…
cs.CL2024★ 2 cited
High Risk of Political Bias in Black Box Emotion Inference Models
Hubert Plisiecki, Paweł Lenartowicz, Maria Flakus +1
This paper investigates the presence of political bias in emotion inference models used for sentiment analysis (SA) in social science research. Machine learning models often reflec…