Browsing by Author "Güçlütürk, Y."

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End-to-end neural system identification with neural information flow
Seeliger, K. ; Ambrogioni, L. ; Güçlütürk, Y. ; Güçlü, U. ; Gerven, M.A.J. van
2021, Article / Letter to editor (Plos Computational Biology, vol. 17, iss. 2, (2021), article e1008558)
Modeling, recognizing, and explaining apparent personality from videos
Escalante, H.J.; Kaya, H.; Salah, A.A.; Escalera, S.; Güçlütürk, Y. ; Güçlü, U. ; Baró, X.; Guyon, I.; Jacques Junior, J.C.S.; Madadi, M.; Ayache, S.; Viegas, E.; Gurpinar, F.; Sukma Wicaksana, A.; Liem, C.C.S.; Gerven, M.A.J. van ; Lier, R.J. van et al. sine al.
2020, Article / Letter to editor (IEEE Transactions on Affective Computing, (2020))
Guest editorial: Image and video inpainting and denoising
Escalera, S.; Escalante, H.J.; Baró, X.; Guyon, I.; Madadi, M.; Wan, J.; Ayache, S.; Güçlütürk, Y. ; Güçlü, U.
2020, Article / Letter to editor (IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, iss. 5, (2020), pp. 1021-1024)
Decomposing complexity preferences for music
Güçlütürk, Y. ; Lier, R.J. van
2019, Article / Letter to editor (Frontiers in Psychology, vol. 10, (2019), article 674)
First impressions: A survey on computer vision-based apparent personality trait analysis
Jacques Junior, J.C.S.; Güçlütürk, Y. ; Pérez, M.; Güçlü, U. ; Andujar, C.; Baró, X.; Escalante, H.J.; Guyon, I.; Gerven, M.A.J. van ; Lier, R.J. van ; Escalera, S. et al. sine al.
2019, Article / Letter to editor (IEEE Transactions on Affective Computing, (2019))
Simulating neuroprosthetic vision for emotion recognition
Bollen, C.J.M.; Güçlü, U. ; Wezel, R.J.A. van ; Gerven, M.A.J. van ; Güçlütürk, Y.
2019, Article in monograph or in proceedings (2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), pp. 85-87)
Forward amortized inference for likelihood-free variational marginalization
Ambrogioni, L. ; Güçlü, U. ; Berezutskaya, Y. ; Borne, E.W.P. van den; Güçlütürk, Y. ; Hinne, M. ; Maris, E.G.G. ; Gerven, M.A.J. van
2019, Article in monograph or in proceedings (Chaudhuri, K.; Sugiyama, M. (ed.), Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, pp. 777-786)
Emotion recognition with simulated phosphene vision
Bollen, C.J.M.; Wezel, R.J.A. van ; Gerven, M.A.J. van ; Güçlütürk, Y.
2019, Article in monograph or in proceedings (Liu, X.; Min, R.; McDaniel, T. (ed.), MAHCI '19: Proceedings of the 2nd Workshop on Multimedia for Accessible Human Computer Interfaces, pp. 1-8)
Current advances in neural decoding
Gerven, M.A.J. van ; Seeliger, K. ; Güçlü, U. ; Güçlütürk, Y.
2019, Part of book or chapter of book (Samek, W.; Montavon, G.; Vedaldi, A. (ed.), Explainable AI: Interpreting, explaining and visualizing deep learning, pp. 379-394)
Explainable and interpretable models in computer vision and machine learning
Escalante, H.J.; Escalera, S.; Guyon, I.; Baró, X.; Güçlütürk, Y. ; Güçlü, U. ; Gerven, M.A.J. van
2018, Book editorial
Effects of complexity in perception: From construction to reconstruction
Güçlütürk, Y.
2018, Dissertation
Multimodal first impression analysis with deep residual networks
Güçlütürk, Y. ; Güçlü, U. ; Baró, X.; Escalante, H.J.; Guyon, I.; Escalera, S.; Gerven, M.A.J. van ; Lier, R.J. van
2018, Article / Letter to editor (IEEE Transactions on Affective Computing, vol. 9, iss. 3, (2018), pp. 316-329)
Representations of naturalistic stimulus complexity in early and associative visual and auditory cortices
Güçlütürk, Y. ; Güçlü, U. ; Gerven, M.A.J. van ; Lier, R.J. van
2018, Article / Letter to editor (Scientific Reports, vol. 8, (2018), article 3439)
Wasserstein variational inference
Ambrogioni, L. ; Güçlü, U. ; Güçlütürk, Y. ; Hinne, M. ; Gerven, M.A.J. van ; Maris, E.G.G.
2018, Article in monograph or in proceedings (Bengio, S.; Wallach, H.M.; Larochelle, H. (ed.), Proceedings of the 32nd International Conference on Neural Information Processing Systems, pp. 2478-2487)
Generative adversarial networks for reconstructing natural images from brain activity
Seeliger, K. ; Güçlü, U. ; Ambrogioni, L. ; Güçlütürk, Y. ; Gerven, M.A.J. van
2018, Article / Letter to editor (NeuroImage, vol. 181, (2018), pp. 775-785)
Algorithmic composition of polyphonic music with the WaveCRF
Güçlü, U. ; Güçlütürk, Y. ; Ambrogioni, L. ; Maris, E.G.G. ; Lier, R.J. van ; Gerven, M.A.J. van
2017, Article in monograph or in proceedings (2017 Neural Information Processing Systems (NIPS): Machine Learning for Creativity and Design Workshop (December 8, 2017), pp. 1-3)
Design of an explainable machine learning challenge for video interviews
Escalante, H.J.; Guyon, I.; Escalera, S.; Jacques, J.; Madadi, M.; Baró, X.; Ayache, S.; Viegas, E.; Güçlütürk, Y. ; Güçlü, U. ; Gerven, M.A.J. van ; Lier, R.J. van et al. sine al.
2017, Article in monograph or in proceedings (2017 International Joint Conference on Neural Networks (IJCNN), pp. 3688-3695)
Visualizing apparent personality analysis with deep residual networks
Güçlütürk, Y. ; Güçlü, U. ; Pérez, M.; Escalante, H.J.; Baró, X.; Guyon, I.; Andujar, C.; Jacques, J.; Madadi, M.; Escalera, S.; Gerven, M.A.J. van ; Lier, R.J. van et al. sine al.
2017, Article in monograph or in proceedings (2017 IEEE International Conference on Computer Vision (ICCV), pp. 3101-3109)
Bayesian model ensembling using meta-trained recurrent neural networks
Ambrogioni, L. ; Berezutskaya, Y. ; Güçlü, U. ; Borne, E.W.P. van den; Güçlütürk, Y. ; Gerven, M.A.J. van ; Maris, E.G.G.
2017, Article in monograph or in proceedings (Workshop on Meta-Learning (MetaLearn 2017) - Neural Information Processing Systems (NIPS 2017), pp. 1-5)
Reconstructing perceived faces from brain activations with deep adversarial neural decoding
Güçlütürk, Y. ; Güçlü, U. ; Seeliger, K. ; Bosch, S.E. ; Lier, R.J. van ; Gerven, M.A.J. van
2017, Article in monograph or in proceedings (Guyon, I.; Luxburg, U.V.; Bengio, S. (ed.), Advances in Neural Information Processing Systems 30 (NIPS 2017) Pre-Proceedings, pp. 4249-4260)
Deep impression: Audiovisual deep residual networks for multimodal apparent personality trait recognition
Güçlütürk, Y. ; Güçlü, U. ; Gerven, M.A.J. van ; Lier, R.J. van
2016, Article in monograph or in proceedings (Hua, G.; Jégou, H. (ed.), Computer Vision - ECCV 2016 Workshops, Proceedings, pp. 349-358)
Liking versus complexity: Decomposing the inverted U-curve
Güçlütürk, Y. ; Jacobs, R.H.A.H. ; Lier, R.J. van
2016, Article / Letter to editor (Frontiers in Human Neuroscience, vol. 10, (2016), article 112)
Convolutional sketch inversion
Güçlütürk, Y. ; Güçlü, U. ; Lier, R.J. van ; Gerven, M.A.J. van
2016, Article in monograph or in proceedings (Hua, G.; Jégou, H. (ed.), Computer Vision - ECCV 2016 Workshops: Proceedings, Part I, pp. 810-814)
What you need is what you like: Knowing target and distractor categories is sufficient for distractor devaluation
Jacobs, R.H.A.H. ; Güçlütürk, Y. ; Lier, R.J. van
2015, Article / Letter to editor (Perception, vol. 44, iss. Suppl., (2015), pp. 63-64)

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