Astrid Zeman
Cited by
Cited by
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
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
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
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
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
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
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
Utility simulation tool for automated energy demand side management
Y Guo, A Zeman, R Li
Agent technology for energy systems ATES 6, 8, 2010
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
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
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
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
An exponential filter model predicts lightness illusions
A Zeman, KR Brooks, S Ghebreab
Frontiers in human neuroscience 9, 368, 2015
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
Decentralized multi-agent clustering in scale-free sensor networks
M Piraveenan, M Prokopenko, P Wang, A Zeman
Computational Intelligence: A Compendium, 485-515, 2008
Homeotaxis: Coordination with persistent time-loops
M Prokopenko, A Zeman, R Li
International Conference on Simulation of Adaptive Behavior, 403-414, 2008
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
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
Robot world cup soccer 2004: The magic of uts unleashed
M Chang, G Dissanayake, D Gurram, F Hadzic, G Healy, A Karol, ...
Mooney Face Image Processing in Deep Convolutional Neural Networks Compared to Humans
A Zeman, T Leers, HO de Beeck
bioRxiv, 2022
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