F. Boussaïd

发表

Maize Yield Prediction at an Early Developmental Stage Using Multispectral Images and Genotype Data for Preliminary Hybrid Selection

Mohammed Bennamoun, Farid Boussaïd, Philipp E. Bayer, 2021, Remote. Sens..

Quantitative performance evaluation of object detectors in hazy environments

Mohammed Bennamoun, Farid Boussaïd, Cameron Hodges, 2021, Pattern Recognit. Lett..

Growth and evolution of deep neural networks from gene regulatory networks

Mohammed Bennamoun, Farid Boussaïd, Colin Flynn, 2021, GECCO Companion.

Exploiting Layerwise Convexity of Rectifier Networks with Sign Constrained Weights

Mohammed Bennamoun, Farid Boussaïd, Senjian An, 2017, Neural Networks.

On the Compressive Power of Deep Rectifier Networks for High Resolution Representation of Class Boundaries pdf

Mohammed Bennamoun, Farid Boussaïd, Senjian An, 2017, ArXiv.

Sign Constrained Rectifier Networks with Applications to Pattern Decompositions

Mohammed Bennamoun, Farid Boussaïd, Senjian An, 2015, ECML/PKDD.

How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances?

Mohammed Bennamoun, Farid Boussaïd, Senjian An, 2015, ICML.

ResFeats: Residual network based features for underwater image classification

Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, 2020, Image Vis. Comput..

A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation

Mohammed Bennamoun, Hamid Laga, Farid Boussaïd, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A New Representation of Skeleton Sequences for 3D Action Recognition

Mohammed Bennamoun, Farid Boussaïd, Senjian An, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Secondary defect profile related to low energy implanted boron measured up to 3.5 µm depth into Si-substrates

M. Masmoudi, K. Ketata, M. Ketata, 1999 .

Atrous convolutional feature network for weakly supervised semantic segmentation

Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, 2021, Neurocomputing.

Iterative deep learning for image set based face and object recognition

Mohammed Bennamoun, Farid Boussaïd, Syed Afaq Ali Shah, 2016, Neurocomputing.

A Curvelet-based approach for textured 3D face recognition

Mohammed Bennamoun, Amar A. El-Sallam, Farid Boussaïd, 2015, Pattern Recognit..

Coral classification with hybrid feature representations

Robert B. Fisher, Mohammed Bennamoun, Farid Boussaïd, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

SkeletonNet: Mining Deep Part Features for 3-D Action Recognition

Mohammed Bennamoun, Farid Boussaïd, Senjian An, 2017, IEEE Signal Processing Letters.

Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment

Aref Miri Rekavandi, G. Dwivedi, M. Bennamoun, 2023, ArXiv.

Deep Learning for Marine Species Recognition

Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, 2019, Handbook of Deep Learning Applications.

On the use of the matrix pencil method for deep level transient spectroscopy: MP-DLTS

Farid Boussaïd, M. Benzohra, Augustin Martinez, 1998, IEEE Trans. Instrum. Meas..

A novel 3D vorticity based approach for automatic registration of low resolution range images

Mohammed Bennamoun, Farid Boussaïd, Syed Afaq Ali Shah, 2015, Pattern Recognit..

Bio-inspired gas recognition based on the organization of the olfactory pathway

Amine Bermak, Farid Boussaïd, Dominique Martinez, 2012, 2012 IEEE International Symposium on Circuits and Systems.

Hierarchical Classification of Kelps utilizing Deep Residual Features

Robert B. Fisher, Mohammed Bennamoun, Farid Boussaïd, 2019, ArXiv.

Spatial, Structural and Temporal Feature Learning for Human Interaction Prediction pdf

Mohammed Bennamoun, Farid Boussaïd, Senjian An, 2016, ArXiv.

Transistor Sizing Using Particle Swarm Optimisation

R. Lyndon While, Farid Boussaïd, Lyndon White, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

A spatio-temporal RBM-based model for facial expression recognition

Mohammed Bennamoun, Farid Boussaïd, S. Elaiwat, 2016, Pattern Recognit..

An ultra low-power capacitively-coupled chopper instrumentation amplifier for wheatstone-bridge readout circuits

Amine Bermak, Farid Boussaïd, Moaaz Ahmed, 2017, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).

Keypoints-based surface representation for 3D modeling and 3D object recognition

Mohammed Bennamoun, Farid Boussaïd, Syed Afaq Ali Shah, 2017, Pattern Recognit..

A semantic RBM-based model for image set classification

Mohammed Bennamoun, Farid Boussaïd, S. Elaiwat, 2016, Neurocomputing.

Human Interaction Prediction Using Deep Temporal Features

Mohammed Bennamoun, Farid Boussaïd, Senjian An, 2016, ECCV Workshops.

A High-Performance Spectral-Spatial Residual Network for Hyperspectral Image Classification with Small Training Data

Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, 2020, Remote. Sens..

An Improved Approach to Weakly Supervised Semantic Segmentation

Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A CMOS Single-Chip Gas Recognition Circuit for Metal Oxide Gas Sensor Arrays

Amine Bermak, Farid Boussaïd, Kwan Ting Ng, 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.

Contractive Rectifier Networks for Nonlinear Maximum Margin Classification

Mohammed Bennamoun, Farid Boussaïd, Senjian An, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Automatic Hierarchical Classification of Kelps Using Deep Residual Features

Robert B. Fisher, Bennamoun, G. Kendrick, 2019, Sensors.

Coral Classification Using DenseNet and Cross-modality Transfer Learning

Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).