Publications 2019

Année 2019:
Revues
 
  1. Hafemann, L.G., Oliveira L.S. and Sabourin, R., Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification, IEEE Transactions on Information Forensics & Security, 2019. 

     
  2. Cao, H., Bernard, S., Sabourin, R. and Heutte, L, Random Forest Dissimilarity Based Multi-View Learning for Radiomics Application, Pattern Recognition, Vol. 88, April 2019, pp 185-197. 

     
  3. Souza, M., Cavalcanti, G.D.C., Cruz, M.O.R. and Sabourin, R., Online Local Pool Generation for Dynamic Classifier Selection, Pattern Recognition, Vol. 85, January 2019, pp 132-148. 

     
  4. Cruz, M.O.R., Oliveira, D., Cavalcanti, G.D.C. and Sabourin, R., FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection, Pattern Recognition, Vol. 85, January 2019, pp 149-160. 

     
  5. H Kervadec, J Dolz, M Tang, E Granger, Y Boykov, IB Ayed, Constrained-CNN losses for weakly supervised segmentation, Medical Image Analysis 54, 88-99, 2019. 

     
  6. MA Carbonneau, E Granger, G Gagnon, Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems, IEEE Transactions on Neural Networks and Learning Systems 30 (5), 1441-1451, 2019. 

     
  7. F Mokhayeri, E Granger, GA Bilodeaun, Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person, IEEE Transactions on Information Forensics & Security 14 (3), 757-772, 2019. 

     
 


Conférences

  1. Souza, M.A., Cavalcanti, G.D.C., Cruz, R.M.O. and Sabourin, R., On Evaluating the Online Local Pool Generation Method for Imbalance Learning, 2019 International Joint Conference on Neural Networks (IJCNN-2019), Budapest, Hungary, July 14-19, 2019. 

     
  2. Souza, V.L.F., Oliveira, A.L.I., Cruz, R.M.O. and Sabourin, R., On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification, 2019 International Joint Conference on Neural Networks (IJCNN-2019), Budapest, Hungary, July 14-19, 2019. 

     
  3. Souza, V.L.F., Oliveira, A.L.I., Cruz, R.M.O. and Sabourin, R., Characterization of Handwritten Signature Images in Dissimilarity Representation Space, International Conference on Computational Science (ICCS-2019), Faro, Algarve, Portugal, June 12-14, 2019. 

     
  4. Rony, J., Hafemann, L.G., Oliveira, L.S., Ben Ayed, I., Sabourin, R. and Granger, E., Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses, Conference on Computer Vision and Pattern Recognition (CVPR-2019), Long-Beach, CA, USA, June 15-21, 2019. 

     
  5. WC Melo, E Granger, A Hadid, Depression Detection based on Deep Distribution Learning, ICIP 2019: IEEE Int'l Conf. on Image Processing, Taipei, Taiwan, 2019. 

     
  6. X. Wu, T. H. Kinnunen, E. Granger, X. Feng, A. Hadid, Audio-Visual Kinship Verification in the Wild, ICB 2019: IAPR International Conference on Biometrics, Crete, Greece, 2019. 

     
  7. F. Mokhayeri, E. Granger, Robust Video Face Recognition From a Single Still Using a Synthetic Plus Variational Model, FG 2019: IEEE Int'l Conf. on Automatic Face and Gesture Recognition, Lille, France, 2019. 

     
  8. W. C. Melo, E. Granger, A. Hadid, Combining Global and Local Convolutional 3D Networks for Detecting Depression from Facial Expressions, FG 2019: IEEE Int'l Conf. on Automatic Face and Gesture Recognition, Lille, France, 2019. 

     
  9. H Kervadec, J Bouchtiba, C Desrosiers, E Granger, J Dolz, I Ben Ayed, Boundary loss for highly unbalanced segmentation, MIDL 2019: Int'l Conf. on Medical Imaging with Deep Learning, London, UK, 2019.