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Richard Veale
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2020 – today
- 2021
- [c9]Richard Veale, Takahiko Kawashima, Tomohisa Okada, Jun Miyata:
Why We Should Report Colorimetric Data In Every Paper. CogSci 2021 - [c8]Richard Veale, Chih-Yang Chen, Tadashi Isa:
Marmoset Monkeys Model Human Infant Gaze? ICDL 2021: 1-8
2010 – 2019
- 2017
- [c7]Bradley Oosterveld, Richard Veale, Matthias Scheutz:
A parallelized dynamic programming approach to zero resource spoken term discovery. ICASSP 2017: 5800-5804 - 2015
- [c6]Richard Veale, Tadashi Isa, Masatoshi Yoshida:
Applying differential evolution MCMC to parameterize large-scale spiking neural simulations. CEC 2015: 1620-1627 - [c5]Richard Veale, Tadashi Isa, Masatoshi Yoshida:
Technical Implementation of a Visual Attention Neuro-Prosthesis. SMC 2015: 1403-1408 - 2013
- [c4]Richard Veale, Gordon Briggs, Matthias Scheutz:
Linking Cognitive Tokens to Biological Signals: Dialogue Context Improves Neural Speech Recognizer Performance. CogSci 2013 - 2012
- [c3]Richard Veale, Matthias Scheutz:
Neural Circuits for Any-Time Phrase Recognition with Applications in Cognitive Models and Human-Robot Interaction. CogSci 2012 - [c2]Richard Veale, Matthias Scheutz:
Auditory habituation via spike-timing dependent plasticity in recurrent neural circuits. ICDL-EPIROB 2012: 1-6 - 2011
- [j1]Richard Veale, Paul W. Schermerhorn, Matthias Scheutz:
Temporal, Environmental, and Social Constraints of Word-Referent Learning in Young Infants: A Neurorobotic Model of Multimodal Habituation. IEEE Trans. Auton. Ment. Dev. 3(2): 129-145 (2011) - 2010
- [c1]Richard Veale, Matthias Scheutz:
Who Needs Time? Implicit Time Is Sufficient for Some HRI Tasks. AAAI Spring Symposium: It's All in the Timing 2010
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