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