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Yağmur Güçlütürk
Yağmur Güçlütürk
Assistant Professor at Radboud University, Donders Institute for Brain, Cognition and Behaviour
Verified email at donders.ru.nl - Homepage
Title
Cited by
Cited by
Year
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
458*2018
Liking versus complexity: decomposing the inverted U-curve
Y Güçlütürk, R Jacobs, R van Lier
Frontiers in Human Neuroscience 10, 112, 2016
1122016
Generative adversarial networks for reconstructing natural images from brain activity
K Seeliger, U Güçlü, L Ambrogioni, Y Güçlütürk, M van Gerven
Neuroimage, 2018
892018
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
732019
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
702016
Modeling, recognizing, and explaining apparent personality from videos
HJ Escalante, H Kaya, AA Salah, S Escalera, Y Güç, U Güçlü, X Baró, ...
IEEE Transactions on Affective Computing, 2020
64*2020
Convolutional sketch inversion
Y Güçlütürk, U Güçlü, R van Lier, M van Gerven
Computer Vision for Art Analysis - European Conference on Computer Vision, 2016
642016
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
56*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
442017
Decomposing complexity preferences for music
Y Güçlütürk, R van Lier
Frontiers in Psychology 10, 674, 2019
382019
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
372011
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
342017
Wasserstein variational inference
L Ambrogioni, U Güçlü, Y Güçlütürk, M Hinne, MA van Gerven, E Maris
Advances in Neural Information Processing Systems 31, 2018
332018
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
242017
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
192017
End-to-end neural system identification with neural information flow
K Seeliger, L Ambrogioni, Y Güçlütürk, LM van den Bulk, U Güçlü, ...
PLOS Computational Biology 17 (2), e1008558, 2021
172021
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
152018
Simulating neuroprosthetic vision for emotion recognition
CJM Bollen, U Güçlü, RJA Van Wezel, MAJ Van Gerven, Y Güçlütürk
2019 8th international conference on affective computing and intelligent …, 2019
72019
Current advances in neural decoding
MAJ van Gerven, K Seeliger, U Güçlü, Y Güclütürk
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 379-394, 2019
52019
Brain2Pix: Fully convolutional naturalistic video reconstruction from brain activity
L Le, L Ambrogioni, K Seeliger, Y Güçlütürk, M van Gerven, U Güçlü
https://doi.org/10.1101/2021.02.02.429430, 2021
42021
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Articles 1–20