- Radboud Repository
- →
- Browsing by Author
JavaScript is disabled for your browser. Some features of this site may not work without it.
Browsing by Author "Güçlü, U."
Now showing items 1-35 of 35
-
The Indian chefs process Dallaire, P.; Ambrogioni, L. ; Trottier, L.; Güçlü, U. ; Hinne, M. ; Giguère, P.; Chaib-Draa, B.; Gerven, M.A.J. van ; Laviolette, F.2020, Article / Letter to editor (Proceedings of Machine Learning Research, vol. 124, (2020), pp. 600-608) -
Cortical network responses map onto data-driven features that capture visual semantics of movie fragments Berezutskaya, Y. ; Freudenburg, Z.V. ; Ambrogioni, L. ; Güçlü, U. ; Gerven, M.A.J. van ; Ramsey, N.F.2020, Article / Letter to editor (Scientific Reports, vol. 10, (2020), article 12077) -
Brain-optimized extraction of complex sound features that drive continuous auditory perception Berezutskaya, Y. ; Freudenburg, Z.V. ; Güçlü, U. ; Gerven, M.A.J. van ; Ramsey, N.F.2020, Article / Letter to editor (Plos Computational Biology, vol. 16, iss. 7, (2020), article e1007992)
-
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) -
SpikeCaKe: Semi-analytic nonparametric Bayesian inference for spike-spike neuronal connectivity Ambrogioni, L. ; Ebel, P.W.; Hinne, M. ; Güçlü, U. ; Gerven, M.A.J. van ; Maris, E.G.G.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. 787-795)
-
ChaLearn Looking at People: Inpainting and denoising challenges Escalera, S.; Soler, M.; Ayache, S.; Güçlü, U. ; Wan, J.; Madadi, M.; Baró, X.; Escalante, H.J.; Guyon, I.2019, Article in monograph or in proceedings (Escalera, S.; Ayache, S.; Wan, J. (ed.), Inpainting and denoising challenges: Conference proceedings, pp. 23-44)
-
Inpainting and denoising challenges: Conference proceedings Escalera, S.; Ayache, S.; Wan, J.; Madadi, M.; Güçlü, U. ; Baró, X.2019, Book editorial
-
Segmentation of photovoltaic panels in aerial photography using group equivariant FCNs 2019, Article in monograph or in proceedings (Beuls, K.; Bogaerts, B.; Bontempi, G. (ed.), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), pp. 1-11)
-
Temporal factorization of 3D convolutional kernels 2019, Article in monograph or in proceedings (Beuls, K.; Bogaerts, B.; Bontempi, G. (ed.), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), pp. 1-9)
-
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)
-
Neural information flow: Learning neural information processing systems from brain activity 2019, Article in monograph or in proceedings (2019 Conference on Cognitive Computational Neuroscience, pp. 717-720)
-
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. van2018, Book editorial
-
-
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. van2018, 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 2018, Article / Letter to editor (Scientific Reports, vol. 8, (2018), article 3439)
-
Wasserstein variational inference 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)
-
Convolutional neural network-based encoding and decoding of visual object recognition in space and time Seeliger, K. ; Fritsche, M. ; Güçlü, U. ; Schoenmakers, S. ; Schoffelen, J.M. ; Bosch, S.E. ; Gerven, M.A.J. van2018, Article / Letter to editor (NeuroImage, vol. 180, iss. Part A, (2018), pp. 253-266)
-
Generative adversarial networks for reconstructing natural images from brain activity 2018, Article / Letter to editor (NeuroImage, vol. 181, (2018), pp. 775-785)
-
Increasingly complex representations of natural movies across the dorsal stream are shared between subjects 2017, Article / Letter to editor (NeuroImage, vol. 145, iss. Part B, (2017), pp. 329-336)
-
Probing human brain function with artificial neural networks 2017, Part of book or chapter of book (Moustafa, A.A. (ed.), Computational models of brain and behavior, pp. 413-423)
-
Modeling the dynamics of human brain activity with recurrent neural networks 2017, Article / Letter to editor (Frontiers in Computational Neuroscience, vol. 11, (2017), article 7)
-
Algorithmic composition of polyphonic music with the WaveCRF 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)
-
Modeling brain responses to perceived speech with LSTM networks Berezutskaya, Y. ; Freudenburg, Z.V. ; Ramsey, N.F.; Güçlü, U. ; Gerven, M.A.J. van2017, Article in monograph or in proceedings (Duivesteijn, W.; Pechenizkiy, M.; Fletcher, G.H.L. (ed.), Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning, Technische Universiteit Eindhoven, 9-10 June 2017, pp. 149-153)
-
Neural tuning to low-level features of speech throughout the perisylvian cortex Berezutskaya, Y. ; Freudenburg, Z.V. ; Güçlü, U. ; Gerven, M.A.J. van ; Ramsey, N.F.2017, Article / Letter to editor (The Journal of Neuroscience, vol. 37, iss. 33, (2017), pp. 7906-7920)
-
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.2017, Article in monograph or in proceedings (2017 International Joint Conference on Neural Networks (IJCNN), pp. 3688-3695)
sine al.
-
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 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)
-
Brains on beats Güçlü, U. ; Thielen, J. ; Hanke, M.; Gerven, M.A.J. van2016, Article in monograph or in proceedings (Lee, D.D.; Sugiyama, M.; Luxburg, U.V. (ed.), Advances in Neural Information Processing Systems 29 (NIPS 2016), pp. 1-9)
-
Deep impression: Audiovisual deep residual networks for multimodal apparent personality trait recognition 2016, Article in monograph or in proceedings (Hua, G.; Jégou, H. (ed.), Computer Vision - ECCV 2016 Workshops, Proceedings, pp. 349-358)
-
Convolutional sketch inversion 2016, Article in monograph or in proceedings (Hua, G.; Jégou, H. (ed.), Computer Vision - ECCV 2016 Workshops: Proceedings, Part I, pp. 810-814)
-
Deep neural networks reveal a gradient in the complexity of neural representations across the ventral stream 2015, Article / Letter to editor (The Journal of Neuroscience, vol. 35, iss. 27, (2015), pp. 10005-10014)
-
Gaussian mixture models and semantic gating improve reconstructions from human brain activity 2015, Article / Letter to editor (Frontiers in Computational Neuroscience, vol. 8, (2015), article 173)
-
Unsupervised feature learning improves prediction of human brain activity in response to natural images 2014, Article / Letter to editor (Plos Computational Biology, vol. 10, iss. 8, (2014), article e1003724)
-
Gaussian mixture models improve fMRI-based image reconstruction 2014, Part of book or chapter of book (PRNI 2014: 2014 International Workshop on Pattern Recognition in Neuroimaging, Tübingen, June 4-6 2014 : Proceedings, pp. 1-4)
Now showing items 1-35 of 35
Search Repository
Browse
-
All of Repository
Upload Full Text