Vadillo Nistal, Miguel Angel miguel.vadillo@uam.es

Actividades

Configural Learning in Contextual Cuing of Visual Search

  • Beesley, Tom
  • Vadillo, Miguel A.
  • Pearson, Daniel
  • Shanks, David R.;

JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE (p. 1173-1185) - 1/8/2016

10.1037/xhp0000185 Ver en origen

  • ISSN 00961523

Content and source analysis of popular tweets following a recent case of diphtheria in Spain

  • Porat T, Garaizar P, Ferrero M, Jones H, Ashworth M, Vadillo MA

European Journal Of Public Health (p. 117-122) - 1/2/2019

10.1093/eurpub/cky144

  • ISSN 11011262
  • iMarina

Contingency is used to prepare for outcomes: Implications for a functional analysis of learning

  • Blanco F., Matute H., Vadillo M.

PSYCHONOMIC BULLETIN & REVIEW (p. 117-121) - 1/2/2010

10.3758/pbr.17.1.117 Ver en origen

  • ISSN 10699384

Contrasting cue-density effects in causal and prediction judgments

  • Vadillo M.A., Musca S.C., Blanco F., Matute H.

PSYCHONOMIC BULLETIN & REVIEW (p. 110-115) - 1/2/2011

10.3758/s13423-010-0032-2 Ver en origen

  • ISSN 10699384

Correction: Mental Fatigue Might be Not So Bad for Exercise Performance After All: A Systematic Review and Bias-Sensitive Meta-Analysis

  • Holgado D, Sanabria D, Perales JC, Vadillo MA.

Journal of Cognition - 1/1/2021

10.5334/joc.178 Ver en origen

  • ISSN 25144820

Correlation analysis to investigate unconscious mental processes: A critical appraisal and mini-tutorial

  • Malejka S
  • Vadillo MA
  • Dienes Z
  • Shanks DR

COGNITION - 1/7/2021

10.1016/j.cognition.2021.104667 Ver en origen

  • ISSN 00100277

Debiasing Causal Inferences: Over and Beyond Suboptimal Sampling

  • Rodríguez-Ferreiro J
  • Vadillo MA
  • Barberia I

Teaching Of Psychology - 1/1/2021

10.1177/00986283211048394 Ver en origen

  • ISSN 15328023

Deep Learning With Anaphora Resolution for the Detection of Tweeters With Depression: Algorithm Development and Validation Study

  • Wongkoblap, Akkapon
  • Vadillo, Miguel A.
  • Curcin, Vasa;

JMIR MENTAL HEALTH - 16/8/2021

10.2196/19824 Ver en origen

  • ISSN 23687959

Depressive realism: Wiser or quieter?

  • Blanco F., Matute H., Vadillo M.

Psychological Record (p. 551-562) - 1/1/2009

10.1007/bf03395681 Ver en origen

  • ISSN 00332933

Dissociations among judgments do not reflect cognitive priority: An associative explanation of memory for frequency information in contingency learning

  • Vadillo M., Luque D.

Canadian Journal Of Experimental Psychology-Revue Canadienne De Psychologie Experimentale (p. 60-71) - 1/3/2013

10.1037/a0027617 Ver en origen

  • ISSN 11961961

Este/a investigador/a no tiene libros.

Blocking

  • VADILLO NISTAL, MIGUEL ANGEL
  • Barberia, I.

Encyclopedia of animal cognition and behavior - 1/8/2017

  • iMarina

Contingency

  • VADILLO NISTAL, MIGUEL ANGEL

Encyclopedia of animal cognition and behavior - 1/1/2017

  • iMarina

Modeling depression symptoms from social network data through multiple instance learning

  • Wongkoblap, A., Vadillo, M. A., & Curcin, V

El cementerio El salvador. Imágenes y representaciones de la burguesía rosarina (p. 44-53) - 1/1/2019

  • iMarina

Señalización contextual de la atención visual

  • VADILLO NISTAL, MIGUEL ANGEL

Estudios contemporáneos en cognición comparada (p. 81-108) - 1/1/2017

  • iMarina

Social media big data analysis for mental health research

  • Wongkoblap, A., Vadillo, M. A., y Curcin, V.

Mental Health In A Digital World (p. 109-143) - 1/1/2022

10.1016/b978-0-12-822201-0.00018-6 Ver en origen

The web as a platform for e-research in the social and behavioral sciences

  • Garaizar P., Vadillo M., López-de-Ipiña D., Matute H.

Collaborative and Distributed E-Research: Innovations in Technologies, Strategies and Applications (p. 34-61) - 1/12/2012

10.4018/978-1-4666-0125-3.ch002 Ver en origen

A Bayesian approach to showing unconscious knowledge though regression

  • Dienes, Z., Malejka, S., Vadillo, M., & Shanks, D R

6/6/2019

  • iMarina

A Bayesian perspective on correlation analysis to investigate unconscious mental processes

  • Malejka, S., Vadillo, M. A., Dienes, Z., & Shanks, D. R

15/4/2019

  • iMarina

A multilevel predictive model for detecting social network users with depression

  • Wongkoblap A., Vadillo M., Curcin V.

Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018 (p. 130-135) - 24/7/2018

10.1109/ichi.2018.00022 Ver en origen

A review of the current evidence on the potential benefit of occasional reinforced extinction to prevent relapse

  • Quintero, M. J., López, F. J., Vadillo, Miguel A., y Morís, J.

17/5/2021

  • iMarina

Bias in assessing awareness in research on unconscious mental processes

  • Shanks, D. R., Malejka, S., & Vadillo, M. A

16/9/2019

  • iMarina

Causal illusions persist after extended training

  • Barberia, I., Rodríguez-Ferreiro, J., & Vadillo, M. A

1/7/2018

  • iMarina

Classifying depressed users with multiple instance learning from social network data

  • Wongkoblap A., Vadillo M., Curcin V.

Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018 (p. 436-436) - 24/7/2018

10.1109/ichi.2018.00088 Ver en origen

Contextual cuing of visual search does not guide attention automatically in the presence of top-down goals

  • Luque D
  • Beesley T
  • Molinero S
  • Vadillo MA

Journal Of Experimental Psychology-Human Perception And Performance (p. 1080-1090) - 20/4/2021

10.1037/xhp0000930 Ver en origen

  • ISSN 00961523

Correcting misconceptions in education: It’s harder than you think

  • Vadillo, Miguel A., Ferrero, M., Konstantinidis, E. y Hardwicke, T. E.

6/11/2021

  • iMarina

Detecting and Treating Mental Illness on Social Networks

  • Wongkoblap A., Vadillo M., Curcin V.

Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017 (p. 330-330) - 8/9/2017

10.1109/ichi.2017.24 Ver en origen

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

Captación de talentos 5ª anualidad -

  • VADILLO NISTAL, MIGUEL ANGEL (Investigador principal (IP))

Ejecución: 01-03-2021 - 28-02-2022

Tipo: Regional

Importe financiado: 30000,00 Euros.

  • iMarina

Deconstruyendo la automaticidad

  • Shanks, David R. (Investigador/a)
  • Hernández Gutiérrez, David (Investigador/a)
  • VADILLO NISTAL, MIGUEL ANGEL (Investigador principal (IP))

Ejecución: 01-09-2021 - 31-08-2024

Tipo: Nacional

Importe financiado: 96800,00 Euros.

  • iMarina

La dudosa fiabilidad de la investigación en cognición implícita: problemas y soluciones

  • LUQUE RUIZ, DAVID (Investigador/a)
  • VADILLO NISTAL, MIGUEL ANGEL (Investigador principal (IP))

Ejecución: 01-01-2018 - 31-12-2020

Tipo: Nacional

Importe financiado: 71390,00 Euros.

  • iMarina

Multiple instance learning for detecting depression markers in social media content

  • Curcin, Vasa (Codirector)
  • VADILLO NISTAL, MIGUEL ANGEL (Codirector) Doctorando: Wongkoblap, Akkapon

1/11/2021

  • iMarina

Poniendo a prueba el aprendizaje implícito

  • VADILLO NISTAL, MIGUEL ANGEL (Director)
  • LUQUE RUIZ, DAVID (Director) Doctorando: Tamara Giménez Fernández

25/5/2022

  • iMarina

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 19/03/24 1:01