Olmos R - Search Results

1

Emotional Valence Precedes Semantic Maturation of Words: A Longitudinal Computational Study of Early Verbal Emotional Anchoring.

Martínez-Huertas JÁ, Jorge-Botana G, Olmos R. Martínez-Huertas JÁ, et al. Among authors: olmos r. Cogn Sci. 2021 Jul;45(7):e13026. doi: 10.1111/cogs.13026. Cogn Sci. 2021. PMID: 34288038 Free article.

2

New algorithms assessing short summaries in expository texts using latent semantic analysis.

Olmos R, León JA, Jorge-Botana G, Escudero I. Olmos R, et al. Behav Res Methods. 2009 Aug;41(3):944-50. doi: 10.3758/BRM.41.3.944. Behav Res Methods. 2009. PMID: 19587211

3

Using latent semantic analysis and the predication algorithm to improve extraction of meanings from a diagnostic corpus.

Jorge-Botana G, Olmos R, León JA. Jorge-Botana G, et al. Among authors: olmos r. Span J Psychol. 2009 Nov;12(2):424-40. doi: 10.1017/s1138741600001815. Span J Psychol. 2009. PMID: 19899645

4

Word maturity indices with latent semantic analysis: why, when, and where is Procrustes rotation applied?

Jorge-Botana G, Olmos R, Luzón JM. Jorge-Botana G, et al. Among authors: olmos r. Wiley Interdiscip Rev Cogn Sci. 2018 Jan;9(1). doi: 10.1002/wcs.1457. Epub 2017 Oct 11. Wiley Interdiscip Rev Cogn Sci. 2018. PMID: 29024568 Review.

5

Metacomprehension skills depend on the type of text: An analysis from Differential Item Functioning.

León JA, Martínez-Huertas JA, Olmos R, Moreno JD, Escudero I. León JA, et al. Among authors: olmos r. Psicothema. 2019 Feb;31(1):66-72. doi: 10.7334/psicothema2018.163. Psicothema. 2019. PMID: 30664413

6

Bridging the theoretical gap between semantic representation models without the pressure of a ranking: some lessons learnt from LSA.

Jorge-Botana G, Olmos R, Luzón JM. Jorge-Botana G, et al. Among authors: olmos r. Cogn Process. 2020 Feb;21(1):1-21. doi: 10.1007/s10339-019-00934-x. Epub 2019 Sep 25. Cogn Process. 2020. PMID: 31555943 Review.

7

Redundancy, isomorphism, and propagative mechanisms between emotional and amodal representations of words: A computational study.

Martínez-Huertas JÁ, Jorge-Botana G, Luzón JM, Olmos R. Martínez-Huertas JÁ, et al. Among authors: olmos r. Mem Cognit. 2021 Feb;49(2):219-234. doi: 10.3758/s13421-020-01086-6. Mem Cognit. 2021. PMID: 32820469

8

Model Selection and Model Averaging for Mixed-Effects Models with Crossed Random Effects for Subjects and Items.

Martínez-Huertas JÁ, Olmos R, Ferrer E. Martínez-Huertas JÁ, et al. Among authors: olmos r. Multivariate Behav Res. 2022 Jul-Aug;57(4):603-619. doi: 10.1080/00273171.2021.1889946. Epub 2021 Feb 26. Multivariate Behav Res. 2022. PMID: 33635157

9

Distilling vector space model scores for the assessment of constructed responses with bifactor Inbuilt Rubric method and latent variables.

Martínez-Huertas JÁ, Olmos R, Jorge-Botana G, León JA. Martínez-Huertas JÁ, et al. Among authors: olmos r. Behav Res Methods. 2022 Oct;54(5):2579-2601. doi: 10.3758/s13428-021-01764-6. Epub 2022 Jan 11. Behav Res Methods. 2022. PMID: 35018609 Free PMC article.

10

Are valence and arousal related to the development of amodal representations of words? A computational study.

Martínez-Huertas JÁ, Jorge-Botana G, Martínez-Mingo A, Iglesias D, Olmos R. Martínez-Huertas JÁ, et al. Among authors: olmos r. Cogn Emot. 2023 Nov 21:1-9. doi: 10.1080/02699931.2023.2283882. Online ahead of print. Cogn Emot. 2023. PMID: 37987756

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