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An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning

Maxime Gasse , Alex Aussem , Haytham Elghazel
Lecture Notes in Computer Science, 2012, Machine Learning and Knowledge Discovery in Databases, 7523, pp.58-73. ⟨10.1007/978-3-642-33460-3_9⟩
Journal articles hal-01122771v1

Accelerating Plane Wave Imaging through Deep Learning-Based Reconstruction: An Experimental Study

Maxime Gasse , Fabien Millioz , Emmanuel Roux , Hervé Liebgott , Denis Friboulet et al.
2017 IEEE International Ultrasonic Symposium (IUS), Sep 2017, Washington, United States
Conference papers hal-01609173v1
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A hybrid algorithm for Bayesian network structure learning with application to multi-label learning

Maxime Gasse , Alex Aussem , Haytham Elghazel
Expert Systems with Applications, 2014, 41 (15), pp.6755-6772. ⟨10.1016/j.eswa.2014.04.032⟩
Journal articles hal-01153255v1

On the use of binary stochastic autoencoders for multi-label classification under the zero-one loss

Denis Lecoeuche , Alex Aussem , Maxime Gasse
Procedia Computer Science, 2018, 144, pp.71-80. ⟨10.1016/j.procs.2018.10.506⟩
Journal articles hal-02042711v1
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F-Measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets

Maxime Gasse , Alex Aussem
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2016, Riva del garda, Italy. pp.619 - 631, ⟨10.1007/978-3-319-46128-1_39⟩
Conference papers hal-01425528v1
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On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property

Maxime Gasse , Alex Aussem , Haytham Elghazel
International Conference on Machine Learning, Jul 2015, Lille, France. pp.2531--2539
Conference papers hal-01234346v1
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Identifying the irreducible disjoint factors of a multivariate probability distribution.

Maxime Gasse , Alex Aussem
Probabilistic Graphical Models, Sep 2016, Lugano, Switzerland. pp.183 - 194
Conference papers hal-01425447v1
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High-Quality Plane Wave Compounding using Convolutional Neural Networks

Maxime Gasse , Fabien Millioz , Emmanuel Roux , Damien Garcia , Hervé Liebgott et al.
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2017, 64 (10), pp.1637-1639. ⟨10.1109/TUFFC.2017.2736890⟩
Journal articles hal-01596034v1

Analysis of risk factors of hip fracture with causal Bayesian networks

Alex Aussem , Pascal Caillet , Sarah Klemm , Maxime Gasse , Anne-Marie Schott et al.
International Work-Conference on Bioinformatics and Biomedical Engineering, Apr 2014, Grenade, Spain. pp.1074-1085
Conference papers hal-01326485v1