Seuraa
Astrid Zeman
Astrid Zeman
The University of Melbourne
Vahvistettu sähköpostiosoite verkkotunnuksessa unimelb.edu.au
Nimike
Viittaukset
Viittaukset
Vuosi
Orthogonal Representations of Object Shape and Category in Deep Convolutional Neural Networks and Human Visual Cortex
AA Zeman, JB Ritchie, S Bracci, HO de Beeck
Scientific Reports 10 (1), 1-12, 2020
562020
A simulator for self-adaptive energy demand management
Y Guo, R Li, G Poulton, A Zeman
2008 Second IEEE International Conference on Self-Adaptive and Self …, 2008
392008
Clustering distributed energy resources for large-scale demand management
E Ogston, A Zeman, M Prokopenko, G James
First International Conference on Self-Adaptive and Self-Organizing Systems …, 2007
312007
Untangling the animacy organization of occipitotemporal cortex
JB Ritchie, AA Zeman, J Bosmans, S Sun, K Verhaegen, HPO de Beeck
Journal of Neuroscience 41 (33), 7103-7119, 2021
282021
Performance of multi-agent coordination of distributed energy resources
J Li, G Poulton, G James, A Zeman, P Wang, M Chadwick, M Piraveenan
WSEAS Transactions on System and Control 2 (1), 52-58, 2007
252007
A reinforcement learning approach to setting multi-objective goals for energy demand management
Y Guo, A Zeman, R Li
International Journal of Agent Technologies and Systems (IJATS) 1 (2), 55-70, 2009
222009
The Müller-Lyer illusion in a computational model of biological object recognition
A Zeman, O Obst, KR Brooks, AN Rich
Plos One 8 (2), e56126, 2013
202013
Utility simulation tool for automated energy demand side management
Y Guo, A Zeman, R Li
Agent technology for energy systems ATES 6, 8, 2010
182010
Robot Assistants for Perimetry: A Study of Patient Experience and Performance
AM McKendrick, A Zeman, P Liu, D Aktepe, I Aden, D Bhagat, K Do, ...
Translational vision science & technology 8 (3), 59-59, 2019
172019
Adaptive control of distributed energy management: A comparative study
A Zeman, M Prokopenko, Y Guo, R Li
2008 Second IEEE International Conference on Self-Adaptive and Self …, 2008
162008
The representational hierarchy in human and artificial visual systems in the presence of object-scene regularities
S Bracci, J Mraz, A Zeman, G Leys, HO de Beeck
bioRxiv, 2021.08. 13.456197, 2022
12*2022
Training for object recognition with increasing spatial frequency: A comparison of deep learning with human vision
LK Avberšek, A Zeman, HO de Beeck
Journal of Vision 21 (10), 14-14, 2021
122021
An exponential filter model predicts lightness illusions
A Zeman, KR Brooks, S Ghebreab
Frontiers in human neuroscience 9, 368, 2015
92015
Complex cells decrease errors for the Müller-Lyer illusion in a model of the visual ventral stream
A Zeman, O Obst, KR Brooks
Frontiers in computational neuroscience 8, 112, 2014
92014
Decentralized multi-agent clustering in scale-free sensor networks
M Piraveenan, M Prokopenko, P Wang, A Zeman
Computational Intelligence: A Compendium, 485-515, 2008
92008
Homeotaxis: Coordination with persistent time-loops
M Prokopenko, A Zeman, R Li
International Conference on Simulation of Adaptive Behavior, 403-414, 2008
72008
Deep Learning for Human Embryo Classification at the Cleavage Stage (Day 3)
A Zeman, AS Maerten, A Mengels, LF Sharon, C Spiessens, HO Beeck
International Conference on Pattern Recognition, 278-292, 2021
52021
Symbiotic sensor networks in complex underwater terrains: A simulation framework
V Gerasimov, G Healy, M Prokopenko, P Wang, A Zeman
International Conference on Knowledge-Based and Intelligent Information and …, 2006
42006
Robot world cup soccer 2004: The magic of uts unleashed
M Chang, G Dissanayake, D Gurram, F Hadzic, G Healy, A Karol, ...
32004
Mooney Face Image Processing in Deep Convolutional Neural Networks Compared to Humans
A Zeman, T Leers, HO de Beeck
bioRxiv, 2022
22022
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Artikkelit 1–20