| 2023 | ICPRAM | Towards Explainability in Using Deep Learning for Face Detection in Paintings. | Siwar Ben Gamra, Olfa Mzoughi, Andr Bigand, Ezzeddine Zagrouba |
| 2023 | ISCC | An eXplainable Artificial Intelligence Method for Deep Learning-Based Face Detection in Paintings. | Siwar Ben Gamra, Ezzeddine Zagrouba, Andr Bigand |
| 2021 | ICPRAM | Symbolic Translation of Time Series using Piecewise N-gram Similarity Voting. | Siegfried Delannoy, milie Poisson Caillault, Andr Bigand, Kevin Rousseeuw |
| 2018 | ACIVS | Face Detection in Painting Using Deep Convolutional Neural Networks. | Olfa Mzoughi, Andr Bigand, Christophe Renaud |
| 2017 | IWANN | Pooling Spike Neural Network for Acceleration of Global Illumination Rendering. | Joseph Constantin, Andr Bigand, Ibtissam Constantin |
| 2016 | IJCNN | Perception of noise in global illumination based on inductive learning. | Joseph Constantin, Ibtissam Constantin, Andr Bigand, Denis Hamad |
| 2013 | IWANN | Image Noise Detection in Global Illumination Methods Based on Fast Relevance Vector Machine. | Joseph Constantin, Andr Bigand, Ibtissam Constantin, Denis Hamad |
| 2007 | ACIVS | Color Image Segmentation Based on Type-2 Fuzzy Sets and Region Merging. | Samy Tehami, Andr Bigand, Olivier Colot |