VLDB 2026 Research / reviewers in the wild / expert
Andy J. Wills
dblp:61/7228
· DBLP profile ↗
17ranked-venue papers
2as first author
4since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 17 · 2 first-author · 4 since 2021Applied, interdisciplinary, general and emerging computing · 17 · 2 first-author · 4 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Reward Count(s): Negative Recency in Probabilistic Experience-Based Learning
René Schlegelmilch, Andy J. Wills, Bettina von Helversen |
CogSci | 2 |
| 2023 | Errorless irrationality: removing error-driven components from the inverse base-rate effect paradigm
Lenard Dome, Andy J. Wills |
CogSci | 2 |
| 2023 | A Comparison of Human and Machine Performance in Object Recognition Using The ObjectNet Image Set
Gokcek Kul, Andy J. Wills |
CogSci | 2 |
| 2021 | SUSTAIN captures category learning, recognition, and hippocampal activation in a unidimensional vs information-integration task
Lenard Dome, Charlotte Edmunds, Andy J. Wills |
CogSci | 3 |
| 2018 | CALM - A Process Model of Category Generalization, Abstraction and Structuring
René Schlegelmilch, Andy J. Wills, Bettina von Helversen |
CogSci | 2 |
| 2017 | Due process in dual process: A model-recovery analysis of Smith et al. (2014)
Charlotte Edmunds, Andy J. Wills, Fraser Milton |
CogSci | 2 |
| 2016 | Modeling category learning using a dual-system approach: A simulation of Shepard, Hovalnd and Jenkins (1961) by COVIS
Charlotte Edmunds, Andy J. Wills |
CogSci | 2 |
| 2016 | Memory for exemplars in category learning
Charlotte Edmunds, Andy J. Wills, Fraser Milton |
CogSci | 2 |
| 2014 | Machine learning of visual object categorization: an application of the SUSTAIN model
Giovanni Sirio Carmantini, Angelo Cangelosi, Andy J. Wills |
CogSci | 3 |
| 2014 | Does incidental training increase the prevalence of overall similarity classification? A re-examination of kemler Nelson (1984)
Angus Inkster, Fraser Milton, Andy J. Wills |
CogSci | 3 |
| 2014 | The effect of pre-exposure on family resemblance categorization for stimuli of varying levels of perceptual difficulty
Fraser Milton, Edward Copestake, David Satherley, Tobias Stevens, Andy J. Wills |
CogSci | 5 |
| 2013 | Impulsivity and Overall Similarity Classification
Andy J. Wills, Chris Longmore, Fraser Milton |
CogSci | 1 |
| 2013 | Implicit learning: A demonstration and a revision to a novel SRT paradigm
Fayme Yeates, Fergal W. Jones, Andy J. Wills, Mike Aitken, Ian P. L. McLaren |
CogSci | 3 |
| 2012 | Implicit Learning: A Demonstration and a Novel SRT Paradigm
Fayme Yeates, Fergal W. Jones, Andy J. Wills, Mike Aitken, Ian P. L. McLaren |
CogSci | 3 |
| 2012 | State-Trace Analysis of Sequence Learning by Simple Recurrent Networks
Fayme Yeates, Fergal W. Jones, Andy J. Wills, Ian P. L. McLaren |
CogSci | 3 |
| 2011 | The effect of time pressure and the spatial integration of the stimulus dimensions on overall similarity categorization
Fraser Milton, Lotta Viika, Holly Henderson, Andy J. Wills |
CogSci | 4 |
| 2011 | Working Memory Capacity and Generalization in Predictive Learning
Andy J. Wills, Thomas Barrasin, Ian P. L. McLaren |
CogSci | 1 |