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Françoise Fogelman-Soulié
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2020 – today
- 2023
- [j21]Dusan Misevic, Ignacio Atal, Denis Bedard, Eric Cherel, José Escamilla, Linda Evans
, Valerie Hannon, Caroline Huron
Harnessing collective intelligence for the future of learning - a co-constructed research and development agenda. Hum. Comput. 10(1): 1-30 (2023) - 2021
- [p1]Laurence Devillers, Françoise Fogelman-Soulié, Ricardo Baeza-Yates:
AI & Human Values - Inequalities, Biases, Fairness, Nudge, and Feedback Loops. Reflections on Artificial Intelligence for Humanity 2021: 76-89 - 2020
- [j20]Remy Kusters
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. Frontiers Big Data 3: 577974 (2020) - [j19]Laiping Zhao, Yiming Li, Françoise Fogelman-Soulié, Keqiu Li:
A holistic cross-layer optimization approach for mitigating stragglers in in-memory data processing. J. Syst. Archit. 111: 101801 (2020) - [j18]Di Jin
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics. IEEE Trans. Knowl. Data Eng. 32(11): 2144-2158 (2020) - [j17]Di Jin
Identification of Generalized Semantic Communities in Large Social Networks. IEEE Trans. Netw. Sci. Eng. 7(4): 2966-2979 (2020) - [c24]Jianyu Zhang, Jianye Hao, Françoise Fogelman-Soulié:
Cross-data Automatic Feature Engineering via Meta-learning and Reinforcement Learning. PAKDD (1) 2020: 818-829
2010 – 2019
- 2019
- [c23]Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty:
Incorporating Network Embedding into Markov Random Field for Better Community Detection. AAAI 2019: 160-167 - [c22]Jianyu Zhang, Jianye Hao, Françoise Fogelman-Soulié, Zan Wang:
Automatic Feature Engineering by Deep Reinforcement Learning. AAMAS 2019: 2312-2314 - [c21]Laiping Zhao, Yiming Li, Françoise Fogelman-Soulié:
Effective Straggler Mitigation with Cross-Layer Interference-Aware Optimization. ICPADS 2019: 177-182 - [c20]Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Françoise Fogelman-Soulié, Yuxiao Huang:
A Novel Generative Topic Embedding Model by Introducing Network Communities. WWW 2019: 2886-2892 - 2018
- [c19]Dongxiao He, Xue Yang, Zhiyong Feng, Shizhan Chen, Keman Huang, Zhenzhu Wang, Françoise Fogelman-Soulié:
A Probabilistic Model for Service Clustering - Jointly Using Service Invocation and Service Characteristics. ICWS 2018: 302-305 - [c18]Ge Zhang
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics. IJCAI 2018: 3648-3654 - [c17]Dongxiao He, Xue Yang, Zhiyong Feng, Shizhan Chen, Françoise Fogelman-Soulié:
A Network Embedding-Enhanced Approach for Generalized Community Detection. KSEM (2) 2018: 383-395 - [c16]Jianyu Zhang
Towards Automatic Complex Feature Engineering. WISE (2) 2018: 312-322 - 2017
- [c15]Di Jin, Meng Ge, Zhixuan Li, Wenhuan Lu, Dongxiao He, Françoise Fogelman-Soulié:
Using Deep Learning for Community Discovery in Social Networks. ICTAI 2017: 160-167 - [c14]Di Jin, Xiaobao Wang, Dongxiao He, Wenhuan Lu, Françoise Fogelman-Soulié, Jianwu Dang:
Identification of Generalized Communities with Semantics in Networks with Content. ICTAI 2017: 1182-1189 - 2014
- [j16]Daniel Faria Bernardes, Mamadou Diaby, Raphaël Fournier, Françoise Fogelman-Soulié, Emmanuel Viennet:
A Social Formalism and Survey for Recommender Systems. SIGKDD Explor. 16(2): 20-37 (2014) - 2013
- [c13]Peng Wang, Wenhuan Lu, Zhaopeng Meng, Jianguo Wei, Françoise Fogelman-Soulié:
Towards Knowledge Structuring of Sensor Data Based on FCA and Ontology. FCA4AI@IJCAI 2013: 57 - 2012
- [c12]Françoise Fogelman-Soulié, Amine Mekki, Savaneary Sean, Philippe Stepniewski:
Utilisation des réseaux sociaux dans la lutte contre la fraude à la carte bancaire sur Internet. AAFD 2012: 99-119 - 2011
- [c11]Bruno Pradel, Savaneary Sean, Julien Delporte, Sébastien Guérif
A case study in a recommender system based on purchase data. KDD 2011: 377-385
2000 – 2009
- 2009
- [e3]John F. Elder IV, Françoise Fogelman-Soulié, Peter A. Flach, Mohammed Javeed Zaki:
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009. ACM 2009, ISBN 978-1-60558-495-9 [contents] - 2008
- [j15]Françoise Fogelman-Soulié, Erik Marcadé:
L'industrialisation des analyses - Besoins, outils & applications. Monde des Util. Anal. Données 38: 140-158 (2008) - [c10]Françoise Fogelman-Soulié:
Industrialiser le data Mining : enjeux et perspectives. EGC 2008: 1 - [c9]Françoise Fogelman-Soulié:
Industrializing Data Mining, Challenges and Perspectives. ECML/PKDD (1) 2008: 1 - [e2]Françoise Fogelman-Soulié, Domenico Perrotta, Jakub Piskorski, Ralf Steinberger:
Mining Massive Data Sets for Security - Advances in Data Mining, Search, Social Networks and Text Mining, and their Applications to Security, Proceedings of the NATO Advanced Study Institute on Mining Massive Data Sets for Security, Gazzada (Varese), Italy, 10-21 September 2007. NATO Science for Peace and Security Series - D: Information and Communication Security 19, IOS Press 2008, ISBN 978-1-58603-898-4 [contents] - 2007
- [c8]Françoise Fogelman-Soulié, Erik Marcadé:
Industrial Mining of Massive Data Sets. NATO ASI Mining Massive Data Sets for Security 2007: 44-61 - 2006
- [c7]Françoise Fogelman-Soulié:
CRM Analytique - L'apport du Data Mining. AAFD 2006: 15-42 - [i1]Emmanuel Viennet, Françoise Fogelman-Soulié, Benoit Rognier:
Evaluation de Techniques de Traitement des Refusés pour l'Octroi de Crédit. CoRR abs/cs/0607048 (2006) - 2005
- [c6]Emmanuel Viennet, Françoise Fogelman-Soulié:
Le Traitement des Refusés dans le Risque Crédit. DMAS 2005: 22-44
1990 – 1999
- 1996
- [j14]Tautvydas Cibas, Françoise Fogelman-Soulié, Patrick Gallinari, Sarunas Raudys:
Variable selection with neural networks. Neurocomputing 12(2-3): 223-248 (1996) - 1993
- [j13]Françoise Fogelman-Soulié, Emmanuel Viennet, Bertrand Lamy:
Multi-Modular Neural Network Architectures: Applications in Optical Character and Human Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 7(4): 721-755 (1993) - 1992
- [j12]Françoise Fogelman-Soulié:
Practical Problems using Neural Networks. Int. J. Neural Syst. 3(Supplement): 25-30 (1992) - 1991
- [j11]Françoise Fogelman-Soulié:
Neural networks and computing. Future Gener. Comput. Syst. 7(1): 69-77 (1991) - [j10]Patrick Gallinari, Sylvie Thiria, Fouad Badran, Françoise Fogelman-Soulié:
On the relations between discriminant analysis and multilayer perceptrons. Neural Networks 4(3): 349-360 (1991) - 1990
- [j9]Léon Bottou, Françoise Fogelman-Soulié, Pascal Blanchet, Jean-Sylvain Liénard:
Speaker-independent isolated digit recognition: Multilayer perceptrons vs. Dynamic time warping. Neural Networks 3(4): 453-465 (1990) - [c5]Younès Bennani, Françoise Fogelman-Soulié, Patrick Gallinari:
A connectionist approach for automatic speaker identification. ICASSP 1990: 265-268 - [e1]Françoise Fogelman-Soulié, Jeanny Hérault:
Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27 - March 3, 1989. NATO ASI Series 68, Springer 1990, ISBN 978-3-642-76155-3 [contents]
1980 – 1989
- 1989
- [j8]Françoise Fogelman-Soulié, C. Mejía, Eric Goles, Servet Martínez Aguilera:
Energy Functions in Neural Networks with Continuous Local Functions. Complex Syst. 3(3) (1989) - [c4]Léon Bottou, Françoise Fogelman-Soulié, Pascal Blanchet, Jean-Sylvain Liénard:
Experiments with time delay networks and dynamic time warping for speaker independent isolated digits recognition. EUROSPEECH 1989: 2537-2540 - [c3]C. Mejía, Françoise Fogelman-Soulié:
Incorporating knowledge in multi-layer networks: the example of protein secondary structure prediction. NATO Neurocomputing 1989: 3-13 - 1988
- [j7]Patrick Gallinari, Sylvie Thiria, Françoise Fogelman-Soulié:
Comparing neural networks and data analysis. Neural Networks 1(Supplement-1): 24-25 (1988) - [c2]Patrick Gallinari, Sylvie Thiria, Françoise Fogelman:
Multilayer perceptrons and data analysis. ICNN 1988: 391-399 - 1987
- [j6]Françoise Fogelman-Soulié, Gérard Weisbuch:
Random Iterations of Threshold Networks and Associative Memory. SIAM J. Comput. 16(1): 203-220 (1987) - 1986
- [c1]Françoise Fogelman-Soulié:
Representation of Knowledge and Learning on Automata Networks. Automata Networks 1986: 95-116 - 1985
- [j5]Eric Goles Chacc, Françoise Fogelman-Soulié, Didier Pellegrin:
Decreasing energy functions as a tool for studying threshold networks. Discret. Appl. Math. 12(3): 261-277 (1985) - [j4]Françoise Fogelman-Soulié:
Parallel and Sequential Computation on Boolean Networks. Theor. Comput. Sci. 40: 275-300 (1985) - 1984
- [j3]Françoise Fogelman-Soulié:
Frustration and stability in random boolean networks. Discret. Appl. Math. 9(2): 139-156 (1984) - 1983
- [j2]Françoise Fogelman, Eric Goles, Gérard Weisbuch:
Transient length in sequential iteration of threshold functions. Discret. Appl. Math. 6(1): 95-98 (1983) - 1980
- [j1]Françoise Fogelman, Martine Quinzii:
Asymptotic Value of Mixed Games. Math. Oper. Res. 5(1): 86-93 (1980)
Coauthor Index
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