When trained on a per-subject basis those differences indeed translate to systematic differences in the resulting model structure. We feel that the goal of ...

HUMANS DIFFER: SO SHOULD MODELS. Systematic Differences Call for Per-subject Modeling. Wolfgang Heidl, Stefan Thumfart and Christian Eitzinger ; Abstract: While ...

We present a machine learning approach to distinguish texts translated to Chinese (by humans) from texts originally written in Chinese, with a focus on a wide ...

Nov 22, 2023 · We examine the differences between LM representations and the human brain's responses to language, specifically by examining a dataset of ...

Dec 6, 2023 · Models allow us to study a system that is analogous to the one we're really interested in, and then by virtue of the analogy draw inferences ...

Jun 12, 2024 · In this Analysis, we conducted a systematic review to critically examine how human influence is incorporated into models of species ...

We will first review the purpose of animal models, and will then introduce and explain the concepts reliability, replicability, different forms of validity, and ...

Aug 15, 2019 · “Selection” of models has two meanings: the term can refer to the human choice of species to use as models, or to the evolutionary reshaping of ...

Feb 1, 2021 · We present the first systematic comparison of human and animal pathway activity for three specific model organisms (mouse, rat and pig), and aim ...

Nov 10, 2016 · In a model assuming no systematic individual differences, all subjects would share the same psychological space (im, jm), with the same ...