Documents publiés en "2016"

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Ballas, N., Yao, L., Pal, C. J., & Courville, A. (juin 2016). Delving Deeper into Convolution Networks for Learning Video Representation [Communication écrite]. 10th IEEE Computer Society Workshop on Perceptual Organization in Computer Vision: The Role of Feedback in Recognition and Motion Perception (CVPR 2016), Las Vegas, Nevada (2 pages). Lien externe

Ballas, N., Yao, L., Pal, C. J., & Courville, A. (mai 2016). Delving deeper into convolutional networks for learning video representations [Communication écrite]. 4th International Conference on Learning Representations (ICLR 2016), San Juan, Puerto Rico (11 pages). Lien externe

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Drozdzal, M., Vorontsov, E., Chartrand, G., Kadoury, S., & Pal, C. J. (octobre 2016). The Importance of Skip Connections in Biomedical Image Segmentation [Communication écrite]. 2nd International Workshop on Deep Learning in Medical Image Analysis (DLMIA 2016), held in conjunction with MICCAI 2016, Athens, Greece. Lien externe

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Harvey, F. G., & Pal, C. J. (juin 2016). Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with Motion Capture Sequences [Communication écrite]. 33rd International Conference on Machine Learning, New York, NY. Publié dans JMLR Workshop and Conference Proceedings, 48. Non disponible

Honari, S., Yosinski, J., Vincent, P., & Pal, C. J. (juin 2016). Recombinator networks: Learning coarse-to-fine feature aggregation [Communication écrite]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, United states. Lien externe

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Kahou, S. E., Bouthillier, X., Lamblin, P., Gulcehre, C., Michalski, V., Konda, K., Jean, S., Froumenty, P., Dauphin, Y., Boulanger-Lewandowski, N., Ferrari, R. C., Mirza, M., Warde-Farley, D., Courville, A., Vincent, P., Memisevic, R., Pal, C. J., & Bengio, Y. (2016). EmoNets: Multimodal deep learning approaches for emotion recognition in video. Journal on Multimodal User Interfaces, 10(2), 99-111. Lien externe

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Maier, O., Menze, B. H., der Gablentz, J. , Häni, L., Heinrich, M. P., Liebrand, M., Winzeck, S., Basit, A., Bentley, P., Chen, L., Christiaens, D., Dutil, F., Egger, K., Feng, C., Glocker, B., Götz, M., Haeck, T., Halme, H.-L., Havaei, M., ... Reyes, M. (octobre 2015). ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI [Communication écrite]. Ischemic Stroke Lesion Segmentation (ISLES) challenge organized in conjunction with the MICCAI 2015 conference, Munich, Germany. Publié dans Medical Image Analysis, 35. Lien externe

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Vorontsov, E., Tang, A., Roy, D., Pal, C. J., & Kadoury, S. (2016). Metastatic liver tumour segmentation with a neural network-guided 3D deformable model. Medical & Biological Engineering & Computing, 55(1), 127-139. Lien externe

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Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2016). Data Mining: Practical Machine Learning Tools and Techniques. (4e éd.). Lien externe

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Yao, L., Torabi, A., Cho, K., Ballas, N., Pal, C. J., Larochelle, H., & Courville, A. (décembre 2015). Describing videos by exploiting temporal structure [Communication écrite]. 15th IEEE International Conference on Computer Vision (ICCV 2015), Santiago, Chile. Lien externe