| Data Mining: Practical machine learning tools and techniques IH Witten, E Frank, MA Hall, CJ Pal Morgan Kaufmann, 2016 | 41599* | 2016 |
| Brain tumor segmentation with deep neural networks M Havaei, A Davy, D Warde-Farley, A Biard, A Courville, Y Bengio, C Pal, ... Medical image analysis 35, 18-31, 2017 | 1973 | 2017 |
| Describing videos by exploiting temporal structure L Yao, A Torabi, K Cho, N Ballas, C Pal, H Larochelle, A Courville Proceedings of the IEEE international conference on computer vision, 4507-4515, 2015 | 937 | 2015 |
| Learning conditional random fields for stereo D Scharstein, C Pal 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 898 | 2007 |
| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | 854* | 2016 |
| Activity recognition using the velocity histories of tracked keypoints R Messing, C Pal, H Kautz 2009 IEEE 12th international conference on computer vision, 104-111, 2009 | 636 | 2009 |
| The importance of skip connections in biomedical image segmentation M Drozdzal, E Vorontsov, G Chartrand, S Kadoury, C Pal Deep learning and data labeling for medical applications, 179-187, 2016 | 546 | 2016 |
| Delving deeper into convolutional networks for learning video representations N Ballas, L Yao, C Pal, A Courville ICLR 2016, 2015 | 416 | 2015 |
| Deep learning: a primer for radiologists G Chartrand, PM Cheng, E Vorontsov, M Drozdzal, S Turcotte, CJ Pal, ... Radiographics 37 (7), 2113-2131, 2017 | 409 | 2017 |
| Emonets: Multimodal deep learning approaches for emotion recognition in video SE Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, K Konda, ... Journal on Multimodal User Interfaces 10 (2), 99-111, 2016 | 349 | 2016 |
| Deep Complex Networks C Trabelsi, Y Bilaniuk, Olexa, Zhang, D Serdyuk, S Subramanian, ... ICLR, 2018 | 324* | 2018 |
| Real-time preview for panoramic images P Baudisch, C Pal, E Rudolph, D Steedly, R Szeliski, D Tan, ... US Patent 7,424,218, 2008 | 319 | 2008 |
| Combining modality specific deep neural networks for emotion recognition in video SE Kahou, C Pal, X Bouthillier, P Froumenty, Ç Gülçehre, R Memisevic, ... Proceedings of the 15th ACM on International conference on multimodal …, 2013 | 301 | 2013 |
| ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI O Maier, BH Menze, J von der Gablentz, L Häni, MP Heinrich, M Liebrand, ... Medical image analysis 35, 250-269, 2017 | 291 | 2017 |
| A panoramic view of yeast noncoding RNA processing WT Peng, MD Robinson, S Mnaimneh, NJ Krogan, G Cagney, Q Morris, ... Cell 113 (7), 919-933, 2003 | 282 | 2003 |
| Recurrent neural networks for emotion recognition in video S Ebrahimi Kahou, V Michalski, K Konda, R Memisevic, C Pal Proceedings of the 2015 ACM on international conference on multimodal …, 2015 | 265 | 2015 |
| Zoneout: Regularizing rnns by randomly preserving hidden activations D Krueger, T Maharaj, J Kramár, M Pezeshki, N Ballas, NR Ke, A Goyal, ... ICLR 2017, 2016 | 259 | 2016 |
| Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning S Subramanian, A Trischler, Y Bengio, C Pal ICLR 2018, (OpenReview 2017), 2018 | 250 | 2018 |
| Panoramic video textures A Agarwala, KC Zheng, C Pal, M Agrawala, M Cohen, B Curless, ... ACM SIGGRAPH 2005 Papers, 821-827, 2005 | 235 | 2005 |
| The liver tumor segmentation benchmark (lits) P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056, 2019 | 188 | 2019 |
Eibe FrankProfessor, Department of Computer Science, University of WaikatoAdresse e-mail validée de cs.waikato.ac.nz
