Françoise Fogelman-Soulié

发表

Multi-Modular Neural Network Architectures: Applications in Optical Character and Human Face Recognition

Françoise Fogelman-Soulié, Emmanuel Viennet, Bertrand Lamy, 1993, Int. J. Pattern Recognit. Artif. Intell..

A holistic cross-layer optimization approach for mitigating stragglers in in-memory data processing

Yiming Li, Laiping Zhao, Keqiu Li, 2020, J. Syst. Archit..

Automatic Feature Engineering by Deep Reinforcement Learning

Jianye Hao, Françoise Fogelman-Soulié, Zan Wang, 2019, AAMAS.

Practical Problems using Neural Networks

Françoise Fogelman-Soulié, 1992, Int. J. Neural Syst..

Experiments with time delay networks and dynamic time warping for speaker independent isolated digits recognition

Françoise Fogelman-Soulié, Léon Bottou, Jean-Sylvain Liénard, 1989, EUROSPEECH.

Applications of neural networks

Françoise Fogelman-Soulié, F. Fogelman-Soulié, 1998 .

Emergence of classification procedures in automata networks as a model for functional self-organization

Françoise Fogelman-Soulié, Henri Atlan, Didier Pellegrin, 1986 .

Industrial Mining of Massive Data Sets

Erik Marcadé, Françoise Fogelman-Soulié, F. Fogelman-Soulié, 2007, NATO ASI Mining Massive Data Sets for Security.

Towards Knowledge Structuring of Sensor Data Based on FCA and Ontology

Wenhuan Lu, Zhaopeng Meng, Peng Wang, 2013, FCA4AI@IJCAI.

Towards Automatic Complex Feature Engineering

Françoise Fogelman-Soulié, Christine Largeron, Jianyu Zhang, 2018, WISE.

Identification of Generalized Communities with Semantics in Networks with Content

Xiaobao Wang, Di Jin, Jianwu Dang, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

Variable selection with neural networks

Patrick Gallinari, Sarunas Raudys, Françoise Fogelman-Soulié, 1996, Neurocomputing.

Speaker-independent isolated digit recognition: Multilayer perceptrons vs. Dynamic time warping

Françoise Fogelman-Soulié, Léon Bottou, Jean-Sylvain Liénard, 1990, Neural Networks.

Comparing neural networks and data analysis

Sylvie Thiria, Patrick Gallinari, Françoise Fogelman-Soulié, 1988, Neural Networks.

Le Traitement des Refusés dans le Risque Crédit

Emmanuel Viennet, Françoise Fogelman-Soulié, 2005, DMAS.

A Social Formalism and Survey for Recommender Systems

Mamadou Diaby, Françoise Fogelman-Soulié, Emmanuel Viennet, 2015, SKDD.

Industrialiser le data Mining : enjeux et perspectives

Françoise Fogelman-Soulié, 2008, EGC.

Utilisation des réseaux sociaux dans la lutte contre la fraude à la carte bancaire sur Internet

Françoise Fogelman-Soulié, Amine Mekki, Savaneary Sean, 2012, AAFD.

Incorporating knowledge in multi-layer networks: the example of protein secondary structure prediction

Françoise Fogelman-Soulié, C. Mejía, F. Fogelman-Soulié, 1989, NATO Neurocomputing.

Comparing RBF and Fuzzy Inference Systems on theoretical and practical basis

Hugues Bersini, Patrick Gallinari, Gianluca Bontempi, 1995 .

A Network Embedding-Enhanced Approach for Generalized Community Detection

Dongxiao He, Shizhan Chen, Zhiyong Feng, 2018, KSEM.

Neural networks and computing

Françoise Fogelman-Soulié, F. Fogelman-Soulié, 1991, Future generations computer systems.

Parallel and Sequential Computation on Boolean Networks

Françoise Fogelman-Soulié, F. Fogelman-Soulié, 1985, Theor. Comput. Sci..

A Novel Generative Topic Embedding Model by Introducing Network Communities

Di Jin, Dongxiao He, Pengfei Jiao, 2019, WWW.

Decreasing energy functions as a tool for studying threshold networks

Eric Goles Ch., Françoise Fogelman-Soulié, Didier Pellegrin, 1985, Discret. Appl. Math..

Incorporating Network Embedding into Markov Random Field for Better Community Detection

Di Jin, Dongxiao He, Tanmoy Chakraborty, 2019, AAAI.

Random Iterations of Threshold Networks and Associative Memory

Gérard Weisbuch, Françoise Fogelman-Soulié, 1987, SIAM J. Comput..

Cross-data Automatic Feature Engineering via Meta-learning and Reinforcement Learning

Jianye Hao, Françoise Fogelman-Soulié, Jianyu Zhang, 2020, PAKDD.

Energy Functions in Neural Networks with Continuous Local Functions

Eric Goles Ch., Françoise Fogelman-Soulié, Eric Goles, 1989, Complex Systems.

Representation of Knowledge and Learning on Automata Networks

Françoise Fogelman-Soulié, 1986, Automata Networks.

A Probabilistic Model for Service Clustering - Jointly Using Service Invocation and Service Characteristics

Dongxiao He, Shizhan Chen, Zhiyong Feng, 2018, 2018 IEEE International Conference on Web Services (ICWS).

Identification of Generalized Semantic Communities in Large Social Networks

Wenhuan Lu, Françoise Fogelman-Soulié, Di Jin, 2020, IEEE Transactions on Network Science and Engineering.

L'industrialisation des analyses - Besoins, outils & applications

Erik Marcadé, Françoise Fogelman-Soulié, 2008, Monde des Util. Anal. Données.

Automata networks in computer science : theory and applications

Yves Robert, Maurice Tchuente, Françoise Fogelman-Soulié, 1987 .

Frustration and stability in random boolean networks

Françoise Fogelman-Soulié, 1984, Discret. Appl. Math..

Comparisons of different RBF networks for pattern classification

Marco Saerens, Christine Decaestecker, Françoise Fogelman-Soulié, 1995 .

Using Deep Learning for Community Discovery in Social Networks

Di Jin, Dongxiao He, Wenhuan Lu, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

Disordered Systems and Biological Organization

Françoise Fogelman-Soulié, Elie Bienenstock, Gérard Weisbuch, 1986, NATO ASI Series.

Neurocomputing : algorithms, architectures and applications

Françoise Fogelman-Soulié, Jeanny Hérault, F. Fogelman-Soulié, 1990 .

Attributed Networks Partitioning Based on Modularity Optimization

Jing Wang, Françoise Fogelman-Soulié, Christine Largeron, 2020 .

Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics

Ge Zhang, Di Jin, Pengfei Jiao, 2018, IJCAI.

CRM Analytique - L'apport du Data Mining

Françoise Fogelman-Soulié, 2006, AAFD.

AI & Human Values - Inequalities, Biases, Fairness, Nudge, and Feedback Loops

Ricardo Baeza-Yates, Françoise Fogelman-Soulié, Laurence Devillers, 2021, Reflections on Artificial Intelligence for Humanity.

Scaling laws for the attractors of Hopfield networks

Gérard Weisbuch, Françoise Fogelman-Soulié, F. Fogelman-Soulié, 1985 .

Implementing Big Data Analytics Projects in Business

Wenhuan Lu, Françoise Fogelman-Soulié, F. Fogelman-Soulié, 2016 .

Specific roles of the different Boolean mappings in random networks

Françoise Fogelman-Soulié, F. Fogelman-Soulié, G. Weisbuch, 1982 .