Yağmur Güçlütürk
Yağmur Güçlütürk
Assistant Professor at Radboud University, Donders Institute for Brain, Cognition and Behaviour
Geverifieerd e-mailadres voor donders.ru.nl - Homepage
Geciteerd door
Geciteerd door
Liking versus complexity: decomposing the inverted U-curve
Y Güçlütürk, R Jacobs, R van Lier
Frontiers in Human Neuroscience 10, 112, 2016
Convolutional sketch inversion
Y Güçlütürk, U Güçlü, R van Lier, M van Gerven
Computer Vision for Art Analysis - European Conference on Computer Vision, 2016
Deep impression: audiovisual deep residual networks for multimodal apparent personality trait recognition
Y Güçlütürk, U Güçlü, M van Gerven, R van Lier
Challenge on Automatic Personality Analysis - European Conference on …, 2016
Reconstructing perceived faces from brain activations with deep adversarial neural decoding
Y Güçlütürk, U Güçlü, K Seeliger, S Bosch, R van Lier, M van Gerven
Neural Information Processing Systems, 2017
Generative adversarial networks for reconstructing natural images from brain activity
K Seeliger, U Güçlü, L Ambrogioni, Y Güçlütürk, M van Gerven
Neuroimage, 2018
Evaluation of fractal dimension estimation methods for feature extraction in motor imagery based brain computer interface
U Güçlü, Y Güçlütürk, C Loo
Procedia Computer Science 3 (Supplement C), 589-594, 2011
Explaining first impressions: Modeling, recognizing, and explaining apparent personality from videos
HJ Escalante, H Kaya, AA Salah, S Escalera, Y Gucluturk, U Guclu, ...
arXiv preprint arXiv:1802.00745, 2018
First impressions: A survey on computer vision-based apparent personality trait analysis
J Junior, C Jacques, Y Güçlütürk, M Pérez, U Güçlü, C Andujar, X Baró, ...
IEEE Transactions on Affective Computing, 2019
Design of an explainable machine learning challenge for video interviews
H Escalante, I Guyon, S Escalera, J Jacques Junior, M Madadi, X Baró, ...
International Joint Conference on Neural Networks, 2017
Multimodal first impression analysis with deep residual networks
Y Güçlütürk, U Güçlü, X Baró, H Escalante, I Guyon, S Escalera, ...
IEEE Transactions on Affective Computing, 2017
End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks
U Güçlü, Y Güçlütürk, M Madadi, S Escalera, X Baró, J González, ...
arXiv preprint arXiv:1703.03305 [cs.CV], 2017
Wasserstein variational inference
L Ambrogioni, U Güçlü, Y Güçlütürk, M Hinne, MAJ van Gerven, E Maris
Advances in Neural Information Processing Systems, 2473-2482, 2018
Explainable and interpretable models in computer vision and machine learning
HJ Escalante, S Escalera, I Guyon, X Baró, Y Güçlütürk, U Güçlü, ...
Springer International Publishing, 2018
Representations of naturalistic stimulus complexity in early and associative visual and auditory cortices
Y Güçlütürk, U Güçlü, M van Gerven, R van Lier
Scientific reports 8 (1), 1-16, 2018
Visualizing apparent personality analysis with deep residual networks
Y Gucluturk, U Guclu, M Perez, H Jair Escalante, X Baro, I Guyon, ...
Proceedings of the IEEE International Conference on Computer Vision …, 2017
Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference
L Ambrogioni, U Guclu, M van Gerven
arXiv preprint arXiv:1811.02827, 2018
Forward amortized inference for likelihood-free variational marginalization
L Ambrogioni, U Güçlü, J Berezutskaya, E Borne, Y Güçlütürk, M Hinne, ...
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
An online single trial analysis of the P300 event related potential for the disabled
Y Güçlütürk, U Güçlü, A Samraj
Convention of Electrical & Electronics Engineers in Israel, 2010
Decomposing complexity preferences for music
Y Güçlütürk, R van Lier
Frontiers in psychology 10, 674, 2019
End-to-end neural system identification with neural information flow
K Seeliger, L Ambrogioni, Y Güçlütürk, U Güçlü, MAJ van Gerven
bioRxiv, 553255, 2019
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