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Author profile at the institutional portal

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

Psicología básica / Universidad Autónoma de Madrid

Publications

Web-based experiment control software for research and teaching on human learning

  • Matute H., Vadillo M., Bárcena R.

Behavior Research Methods (p. 689-693) - 1/8/2007

10.3758/bf03193041 View at source

  • ISSN 1554351X

This researcher has no books.

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 View at source

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 View at source

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 View at source

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 View at source

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 View at source

  • 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 View at source

This researcher has no working papers.

This researcher has no technical reports.

Captación de talentos 5ª anualidad -

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

Period: 01-03-2021 - 28-02-2022

Type of funding: Regional

Amount of funding: 30000,00 Euros.

  • iMarina

Deconstruyendo la automaticidad

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

Period: 01-09-2021 - 31-08-2024

Type of funding: National

Amount of funding: 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))

Period: 01-01-2018 - 31-12-2020

Type of funding: National

Amount of funding: 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

This researcher has no patents or software licenses.

Last data update: 3/19/24 1:01 AM