| 2019 | IJCNN | Bidirectional Associative Memory for Multimodal Fusion : a Depression Evaluation Case Study. | Stphane Cholet, Hlne Paugam-Moisy, Sbastien Rgis |
| 2012 | ESANN | From neuronal cost-based metrics towards sparse coded signals classification. | Anthony Mouraud, Quentin Barthlemy, Aurlien Mayoue, Cdric Gouy-Pailler, Anthony Larue, Hlne Paugam-Moisy |
| 2011 | ESANN | An Introduction to Deep Learning. | Ludovic Arnold, Sbastien Rebecchi, Sylvain Chevallier, Hlne Paugam-Moisy |
| 2010 | ECAI | Unsupervised Layer-Wise Model Selection in Deep Neural Networks. | Ludovic Arnold, Hlne Paugam-Moisy, Michle Sebag |
| 2010 | ICANN | The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements. | Anthony Mouraud, Alain Guillaume, Hlne Paugam-Moisy |
| 2009 | ICANN | Algorithms for Structural and Dynamical Polychronous Groups Detection. | Rgis Martinez, Hlne Paugam-Moisy |
| 2008 | ESANN | Neural networks for computational neuroscience. | David Meunier, Hlne Paugam-Moisy |
| 2007 | ESANN | A supervised learning approach based on STDP and polychronization in spiking neuron networks. | Hlne Paugam-Moisy, Rgis Martinez, Samy Bengio |
| 2006 | ESANN | Saliency extraction with a distributed spiking neural network. | Sylvain Chevallier, Philippe Tarroux, Hlne Paugam-Moisy |
| 2006 | ESANN | Cluster detection algorithm in neural networks. | David Meunier, Hlne Paugam-Moisy |
| 2006 | ESANN | Learning and discrimination through STDP in a top-down modulated associative memory. | Anthony Mouraud, Hlne Paugam-Moisy |
| 2005 | IJCNN | Evolutionary supervision of a dynamical neural network allows learning with on-going weights. | David Meunier, Hlne Paugam-Moisy |
| 2005 | IJCNN | A multiple BAM for hetero-association and multisensory integration modelling. | Emanuelle Reynaud, Hlne Paugam-Moisy |
| 2002 | ESANN | Neural networks for modelling memory : case studies. | Hlne Paugam-Moisy, Didier Puzenat, Emanuelle Reynaud, Jean-Philippe Magu |
| 2001 | ICANN | Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms. | Olivier Teytaud, Hlne Paugam-Moisy |
| 2000 | IJCNN | A New Multi-Class SVM Based on a Uniform Convergence Result. | Yann Guermeur, Andr Elisseeff, Hlne Paugam-Moisy |
| 2000 | IJCNN | Generalization Performance of Multiclass Discriminant Models. | Hlne Paugam-Moisy, Andr Elisseeff, Yann Guermeur |
| 1999 | IWANN | Priming an Artificial Associative Memory. | Cdric Bertolini, Hlne Paugam-Moisy, Didier Puzenat |
| 1996 | EuroPar | Parallel Implementation of RBF Neural Networks. | V. Demian, Frederic Desprez, Hlne Paugam-Moisy, Makan Pourzandi |
| 1992 | IPMU | Learning Methods for Odor Recognition Modeling. | S. Amghar, Hlne Paugam-Moisy, J. P. Royet |
| 1992 | LATIN | Complexity Issues in Neural Network Computations. | Michel Cosnard, Pascal Koiran, Hlne Paugam-Moisy |