A new stereomatching algorithm based on linear features and the fuzzy integral. - André Bigand; Thierry Bouwmans; Jean-Paul Dubus (Pattern Recognit. Lett., 2001)

Extraction of line segments from fuzzy images. - André Bigand; Thierry Bouwmans; Jean-Paul Dubus (Pattern Recognit. Lett., 2001)

Telemedicine and fuzzy logic: application in ophthalmology. - Abdelmalik Taleb-Ahmed; André Bigand (Pattern Recognit. Lett., 2003)

Visual acuity of vision tested by fuzzy logic: An application in ophthalmology as a step towards a telemedicine project. - Abdelmalik Taleb-Ahmed; André Bigand; V. Lethuc; P. M. Allioux (Inf. Fusion, 2004)

A new perceptual organization approach to 3D measuring system based on the fuzzy integral. - André Bigand; Ludovic Evrard; Jean-Paul Dubus (Image Vis. Comput., 2006)

Color Image Segmentation Based on Type-2 Fuzzy Sets and Region Merging. - Samy Tehami; André Bigand; Olivier Colot (ACIVS, 2007)

Fuzzy filter based on interval-valued fuzzy sets for image filtering. - André Bigand; Olivier Colot (Fuzzy Sets Syst., 2010)

Speckle noise reduction using an interval type-2 fuzzy sets filter. - André Bigand; Olivier Colot (IEEE Conf. of Intelligent Systems, 2012)

A no-reference computer-generated images quality metric and its application to denoising. - Samuel Delepoulle; André Bigand; Christophe Renaud (IEEE Conf. of Intelligent Systems, 2012)

Reduced-reference quality assessment of computer-generated images based on RVM. - Joseph Constantin; Samuel Delepoulle; André Bigand; Christophe Renaud (ICCIT, 2013)

Out of samples extensions for SC-LLE, new nonlinear dimensionality reduction algorithm. - Hala Hijazi; Oussama Bazzi; André Bigand (ICCIT, 2013)

Image Noise Detection in Global Illumination Methods Based on Fast Relevance Vector Machine. - Joseph Constantin; André Bigand; Ibtissam Constantin; Denis Hamad (IWANN (2), 2013)

Noise Estimation for Computer-Generated Images Using an Interval Type-2 Fuzzy Sets Filter. - Samuel Delepoulle; André Bigand; Christophe Renaud (IEEE Conf. on Intelligent Systems (2), 2014)

Image noise detection in global illumination methods based on FRVM. - Joseph Constantin; André Bigand; Ibtissam Constantin; Denis Hamad (Neurocomputing, 2015)

Perception of noise in global illumination based on inductive learning. - Joseph Constantin; Ibtissam Constantin; André Bigand; Denis Hamad (IJCNN, 2016)

Membership function construction for interval-valued fuzzy sets with application to Gaussian noise reduction. - André Bigand; Olivier Colot (Fuzzy Sets Syst., 2016)

Pooling Spike Neural Network for Acceleration of Global Illumination Rendering. - Joseph Constantin; André Bigand; Ibtissam Constantin (IWANN (1), 2017)

DTW-Approach for uncorrelated multivariate time series imputation. - Thi-Thu-Hong Phan; Émilie Caillault Poisson; André Bigand; Alain Lefebvre (MLSP, 2017)

Comparative study on supervised learning methods for identifying phytoplankton species. - Thi-Thu-Hong Phan; Émilie Caillault Poisson; André Bigand (CoRR, 2017)

Face Detection in Painting Using Deep Convolutional Neural Networks. - Olfa Mzoughi; André Bigand; Christophe Renaud (ACIVS, 2018)

Comparative Study on Univariate Forecasting Methods for Meteorological Time Series. - Thi-Thu-Hong Phan; Émilie Caillault Poisson; André Bigand (EUSIPCO, 2018)

A New Fuzzy Logic-Based Similarity Measure Applied to Large Gap Imputation for Uncorrelated Multivariate Time Series. - Thi-Thu-Hong Phan; André Bigand; Émilie Caillault Poisson (Appl. Comput. Intell. Soft Comput., 2018)

Background Subtraction Based on a New Fuzzy Mixture of Gaussians for Moving Object Detection. - Ali Darwich; Pierre-Alexandre Hébert; André Bigand; Yasser Mohanna (J. Imaging, 2018)

Image Quality Assessment of Computer-generated Images - Based on Machine Learning and Soft Computing - André Bigand; Julien Dehos; Christophe Renaud; Joseph Constantin (Springer, 2018)

eDTWBI: Effective Imputation Method for Univariate Time Series. - Thi-Thu-Hong Phan; Émilie Poisson Caillault; André Bigand (ICCSAMA, 2019)

On the Use of Deep Active Semi-Supervised Learning for Fast Rendering in Global Illumination. - Ibtissam Constantin; Joseph Constantin; André Bigand (J. Imaging, 2020)

Pooling spike neural network for fast rendering in global illumination. - Joseph Constantin; André Bigand; Ibtissam Constantin (Neural Comput. Appl., 2020)

Dynamic time warping-based imputation for univariate time series data. - Thi-Thu-Hong Phan; Émilie Poisson Caillault; Alain Lefebvre; André Bigand (Pattern Recognit. Lett., 2020)

Symbolic Translation of Time Series using Piecewise N-gram Similarity Voting. - Siegfried Delannoy; Émilie Poisson Caillault; André Bigand; Kevin Rousseeuw (ICPRAM, 2021)

New Challenges of Face Detection in Paintings based on Deep Learning. - Siwar Ben Gamra; Olfa Mzoughi; André Bigand; Ezzeddine Zagrouba (VISIGRAPP (4: VISAPP), 2021)

Stopping Criterion during Rendering of Computer-Generated Images Based on SVD-Entropy. - Jérôme Buisine; André Bigand; Rémi Synave; Samuel Delepoulle; Christophe Renaud (Entropy, 2021)

Explainable AI for Deep Learning Based Potato Leaf Disease Detection. - Siwar Ben Gamra; Ezzeddine Zagrouba; André Bigand (FUZZ, 2023)

Towards Explainability in Using Deep Learning for Face Detection in Paintings. - Siwar Ben Gamra; Olfa Mzoughi; André Bigand; Ezzeddine Zagrouba (ICPRAM, 2023)

An eXplainable Artificial Intelligence Method for Deep Learning-Based Face Detection in Paintings. - Siwar Ben Gamra; Ezzeddine Zagrouba; André Bigand (ISCC, 2023)

A comprehensive survey on object detection in Visual Art: taxonomy and challenge. - Siwar Ben Gamra; Olfa Mzoughi; André Bigand; Ezzeddine Zagrouba (Multim. Tools Appl., 2024)