Wirtinger Calculus Based Gradient Descent and Levenberg-Marquardt Learning Algorithms in Complex-Valued Neural Networks, Neural Information Processing, pp.550-559, 2011. ,

Complex-Valued Neural Networks (CVNN), 2019. ,

Graphical methods for data analysis, 2018. ,

Complex-Valued Neural Networks in Keras with Tensorflow, 2019. ,

The Fundamental Theorem of Algebra, 1997. ,

Understanding the difficulty of training deep feedforward neural networks, Proceedings of the thirteenth international conference on artificial intelligence and statistics, pp.249-256, 2010. ,

Classification of polarimetric SAR data by complex valued neural networks, Proc. ISPRS Hannover Workshop, High-Resolution Earth Imag. Geospatial Inf, vol.37, 2009. ,

Introduction to neural networks with Java, 2008. ,

Complex-valued neural networks: The merits and their origins, pp.1237-1244, 2009. ,

Complex-valued neural networks, vol.400, 2012. ,

Complex-valued neural networks: Advances and applications, vol.18, 2013. ,

Learning Algorithms in Complex-Valued Neural Networks using Wirtinger Calculus, Complex-Valued Neural Networks: Advances and Applications, pp.75-102, 2013. ,

Generalization characteristics of complex-valued feedforward neural networks in relation to signal coherence, IEEE Transactions on Neural Networks and learning systems, vol.23, issue.4, pp.541-551, 2012. ,

A hitchhiker's guide to automatic differentiation, Numerical Algorithms, vol.72, issue.3, pp.775-811, 2016. ,

Multilayer Feedforward Networks Are Universal Approximators, Neural Networks, vol.2, issue.5, pp.359-366, 1989. ,

The complex gradient operator and the CR-calculus, 2009. ,

Imagenet classification with deep convolutional neural networks, Advances in neural information processing systems, pp.1097-1105, 2012. ,

Artificial intelligence: building intelligent systems, PHI Learning Pvt. Ltd, 2015. ,

On activation functions for complex-valued neural networks: existence of energy functions, Artificial Neural Networks and Neural Information Processing, pp.985-992, 2003. ,

Variations of box plots, The American Statistician, vol.32, issue.1, pp.12-16, 1978. ,

, Evaluation of Complex-Valued Neural Networks on Real-Valued Classification Tasks, 2018.

On the circularity of a complex random variable, IEEE Signal Processing Letters, vol.15, pp.841-844, 2008. ,

Second-order complex random vectors and Normal distributions, IEEE Transactions on Signal Processing, vol.44, issue.10, pp.2637-2640, 1996. ,

URL : https://hal.archives-ouvertes.fr/hal-01736682

Statistical Signal Processing of Complex-Valued Data, 2010. ,

Dropout: A Simple Way to Prevent Neural Networks from Overfitting, The journal of machine learning research, vol.15, pp.1929-1958, 2014. ,

Universal approximation using feedforward networks with non-sigmoid hidden layer activation functions, IJCNN International Joint Conference on Neural Networks, 1989. ,

Two Hidden Layers Are Usually Better than One, Engineering Applications of Neural Networks, pp.279-290, 2017. ,

, Deep complex networks, 2017.

Zur formalen Theorie der Funktionen von mehr komplexen Veränderlichen, Mathematische Annalen, vol.97, issue.1, pp.357-375, 1927. ,

Contrastive-Regulated CNN in the Complex Domain: A Method to Learn Physical Scattering Signatures From Flexible PolSAR Images, IEEE Transactions on Geoscience and Remote Sensing, vol.57, issue.12, pp.10116-10135, 2019. ,