Stop the war!
Остановите войну!
for scientists:
default search action
BibTeX records: Maxime Gasse
@article{DBLP:journals/corr/abs-2402-09359, author = {Brice Rauby and Paul Xing and Jonathan Por{\'{e}}e and Maxime Gasse and Jean Provost}, title = {Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy}, journal = {CoRR}, volume = {abs/2402.09359}, year = {2024}, url = {https://doi.org/10.48550/arXiv.2402.09359}, doi = {10.48550/ARXIV.2402.09359}, eprinttype = {arXiv}, eprint = {2402.09359}, timestamp = {Fri, 16 Feb 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2402-09359.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2310-08143, author = {L{\'{e}}o Milecki and Jonathan Por{\'{e}}e and Hatim Belgharbi and Chlo{\'{e}} Bourquin and Rafat Damseh and Patrick Delafontaine{-}Martel and Fr{\'{e}}d{\'{e}}ric Lesage and Maxime Gasse and Jean Provost}, title = {A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy}, journal = {CoRR}, volume = {abs/2310.08143}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2310.08143}, doi = {10.48550/ARXIV.2310.08143}, eprinttype = {arXiv}, eprint = {2310.08143}, timestamp = {Tue, 24 Oct 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2310-08143.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mp/MullerMGGLS22, author = {Benjamin M{\"{u}}ller and Gonzalo Mu{\~{n}}oz and Maxime Gasse and Ambros M. Gleixner and Andrea Lodi and Felipe Serrano}, title = {On generalized surrogate duality in mixed-integer nonlinear programming}, journal = {Math. Program.}, volume = {192}, number = {1}, pages = {89--118}, year = {2022}, url = {https://doi.org/10.1007/s10107-021-01691-6}, doi = {10.1007/S10107-021-01691-6}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mp/MullerMGGLS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/tmlr/GuptaKCGLBK22, author = {Prateek Gupta and Elias Boutros Khalil and Didier Ch{\'{e}}telat and Maxime Gasse and Andrea Lodi and Yoshua Bengio and M. Pawan Kumar}, title = {Lookback for Learning to Branch}, journal = {Trans. Mach. Learn. Res.}, volume = {2022}, year = {2022}, url = {https://openreview.net/forum?id=EQpGkw5rvL}, timestamp = {Fri, 19 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/tmlr/GuptaKCGLBK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/ScavuzzoCCG0YA22, author = {Lara Scavuzzo and Feng Yang Chen and Didier Ch{\'{e}}telat and Maxime Gasse and Andrea Lodi and Neil Yorke{-}Smith and Karen I. Aardal}, editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh}, title = {Learning to Branch with Tree MDPs}, booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022}, year = {2022}, url = {http://papers.nips.cc/paper\_files/paper/2022/hash/756d74cd58592849c904421e3b2ec7a4-Abstract-Conference.html}, timestamp = {Mon, 08 Jan 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/ScavuzzoCCG0YA22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2203-02433, author = {Maxime Gasse and Quentin Cappart and Jonas Charfreitag and Laurent Charlin and Didier Ch{\'{e}}telat and Antonia Chmiela and Justin Dumouchelle and Ambros M. Gleixner and Aleksandr M. Kazachkov and Elias B. Khalil and Pawel Lichocki and Andrea Lodi and Miles Lubin and Chris J. Maddison and Christopher Morris and Dimitri J. Papageorgiou and Augustin Parjadis and Sebastian Pokutta and Antoine Prouvost and Lara Scavuzzo and Giulia Zarpellon and Linxin Yang and Sha Lai and Akang Wang and Xiaodong Luo and Xiang Zhou and Haohan Huang and Sheng Cheng Shao and Yuanming Zhu and Dong Zhang and Tao Quan and Zixuan Cao and Yang Xu and Zhewei Huang and Shuchang Zhou and Binbin Chen and Minggui He and Hao Hao and Zhiyu Zhang and Zhiwu An and Kun Mao}, title = {The Machine Learning for Combinatorial Optimization Competition {(ML4CO):} Results and Insights}, journal = {CoRR}, volume = {abs/2203.02433}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2203.02433}, doi = {10.48550/ARXIV.2203.02433}, eprinttype = {arXiv}, eprint = {2203.02433}, timestamp = {Mon, 13 Feb 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2203-02433.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2205-11107, author = {Lara Scavuzzo and Feng Yang Chen and Didier Ch{\'{e}}telat and Maxime Gasse and Andrea Lodi and Neil Yorke{-}Smith and Karen I. Aardal}, title = {Learning to branch with Tree MDPs}, journal = {CoRR}, volume = {abs/2205.11107}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2205.11107}, doi = {10.48550/ARXIV.2205.11107}, eprinttype = {arXiv}, eprint = {2205.11107}, timestamp = {Tue, 25 Jul 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2205-11107.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2206-14987, author = {Prateek Gupta and Elias B. Khalil and Didier Ch{\'{e}}telat and Maxime Gasse and Yoshua Bengio and Andrea Lodi and M. Pawan Kumar}, title = {Lookback for Learning to Branch}, journal = {CoRR}, volume = {abs/2206.14987}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2206.14987}, doi = {10.48550/ARXIV.2206.14987}, eprinttype = {arXiv}, eprint = {2206.14987}, timestamp = {Mon, 04 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2206-14987.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/tmi/MileckiPBBDDLGP21, author = {L{\'{e}}o Milecki and Jonathan Por{\'{e}}e and Hatim Belgharbi and Chlo{\'{e}} Bourquin and Rafat Damseh and Patrick Delafontaine{-}Martel and Fr{\'{e}}d{\'{e}}ric Lesage and Maxime Gasse and Jean Provost}, title = {A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy}, journal = {{IEEE} Trans. Medical Imaging}, volume = {40}, number = {5}, pages = {1428--1437}, year = {2021}, url = {https://doi.org/10.1109/TMI.2021.3056951}, doi = {10.1109/TMI.2021.3056951}, timestamp = {Thu, 23 Jun 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/tmi/MileckiPBBDDLGP21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/GasseBCCCCCDGKK21, author = {Maxime Gasse and Simon Bowly and Quentin Cappart and Jonas Charfreitag and Laurent Charlin and Didier Ch{\'{e}}telat and Antonia Chmiela and Justin Dumouchelle and Ambros M. Gleixner and Aleksandr M. Kazachkov and Elias B. Khalil and Pawel Lichocki and Andrea Lodi and Miles Lubin and Chris J. Maddison and Christopher Morris and Dimitri J. Papageorgiou and Augustin Parjadis and Sebastian Pokutta and Antoine Prouvost and Lara Scavuzzo and Giulia Zarpellon and Linxin Yang and Sha Lai and Akang Wang and Xiaodong Luo and Xiang Zhou and Haohan Huang and Sheng Cheng Shao and Yuanming Zhu and Dong Zhang and Tao Quan and Zixuan Cao and Yang Xu and Zhewei Huang and Shuchang Zhou and Binbin Chen and Minggui He and Hao Hao and Zhiyu Zhang and Zhiwu An and Kun Mao}, editor = {Douwe Kiela and Marco Ciccone and Barbara Caputo}, title = {The Machine Learning for Combinatorial Optimization Competition {(ML4CO):} Results and Insights}, booktitle = {NeurIPS 2021 Competitions and Demonstrations Track, 6-14 December 2021, Online}, series = {Proceedings of Machine Learning Research}, volume = {176}, pages = {220--231}, publisher = {{PMLR}}, year = {2021}, url = {https://proceedings.mlr.press/v176/gasse22a.html}, timestamp = {Mon, 13 Feb 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/GasseBCCCCCDGKK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2104-02828, author = {Antoine Prouvost and Justin Dumouchelle and Maxime Gasse and Didier Ch{\'{e}}telat and Andrea Lodi}, title = {Ecole: {A} Library for Learning Inside {MILP} Solvers}, journal = {CoRR}, volume = {abs/2104.02828}, year = {2021}, url = {https://arxiv.org/abs/2104.02828}, eprinttype = {arXiv}, eprint = {2104.02828}, timestamp = {Tue, 13 Apr 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2104-02828.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2106-14421, author = {Maxime Gasse and Damien Grasset and Guillaume Gaudron and Pierre{-}Yves Oudeyer}, title = {Causal Reinforcement Learning using Observational and Interventional Data}, journal = {CoRR}, volume = {abs/2106.14421}, year = {2021}, url = {https://arxiv.org/abs/2106.14421}, eprinttype = {arXiv}, eprint = {2106.14421}, timestamp = {Wed, 30 Jun 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2106-14421.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/ipco/MullerMGG0S20, author = {Benjamin M{\"{u}}ller and Gonzalo Mu{\~{n}}oz and Maxime Gasse and Ambros M. Gleixner and Andrea Lodi and Felipe Serrano}, editor = {Daniel Bienstock and Giacomo Zambelli}, title = {On Generalized Surrogate Duality in Mixed-Integer Nonlinear Programming}, booktitle = {Integer Programming and Combinatorial Optimization - 21st International Conference, {IPCO} 2020, London, UK, June 8-10, 2020, Proceedings}, series = {Lecture Notes in Computer Science}, volume = {12125}, pages = {322--337}, publisher = {Springer}, year = {2020}, url = {https://doi.org/10.1007/978-3-030-45771-6\_25}, doi = {10.1007/978-3-030-45771-6\_25}, timestamp = {Tue, 16 Jun 2020 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/ipco/MullerMGG0S20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/mlsp/SubakanGC20, author = {Y. Cem S{\"{u}}bakan and Maxime Gasse and Laurent Charlin}, title = {On the Effectiveness of Two-Step Learning for Latent-Variable Models}, booktitle = {30th {IEEE} International Workshop on Machine Learning for Signal Processing, {MLSP} 2020, Espoo, Finland, September 21-24, 2020}, pages = {1--6}, publisher = {{IEEE}}, year = {2020}, url = {https://doi.org/10.1109/MLSP49062.2020.9231729}, doi = {10.1109/MLSP49062.2020.9231729}, timestamp = {Mon, 26 Oct 2020 17:35:16 +0100}, biburl = {https://dblp.org/rec/conf/mlsp/SubakanGC20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/GuptaGKM0B20, author = {Prateek Gupta and Maxime Gasse and Elias B. Khalil and Pawan Kumar Mudigonda and Andrea Lodi and Yoshua Bengio}, editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria{-}Florina Balcan and Hsuan{-}Tien Lin}, title = {Hybrid Models for Learning to Branch}, booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual}, year = {2020}, url = {https://proceedings.neurips.cc/paper/2020/hash/d1e946f4e67db4b362ad23818a6fb78a-Abstract.html}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/nips/GuptaGKM0B20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2006-15212, author = {Prateek Gupta and Maxime Gasse and Elias B. Khalil and M. Pawan Kumar and Andrea Lodi and Yoshua Bengio}, title = {Hybrid Models for Learning to Branch}, journal = {CoRR}, volume = {abs/2006.15212}, year = {2020}, url = {https://arxiv.org/abs/2006.15212}, eprinttype = {arXiv}, eprint = {2006.15212}, timestamp = {Wed, 01 Jul 2020 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2006-15212.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2011-06069, author = {Antoine Prouvost and Justin Dumouchelle and Lara Scavuzzo and Maxime Gasse and Didier Ch{\'{e}}telat and Andrea Lodi}, title = {Ecole: {A} Gym-like Library for Machine Learning in Combinatorial Optimization Solvers}, journal = {CoRR}, volume = {abs/2011.06069}, year = {2020}, url = {https://arxiv.org/abs/2011.06069}, eprinttype = {arXiv}, eprint = {2011.06069}, timestamp = {Wed, 18 Nov 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2011-06069.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/GasseCFC019, author = {Maxime Gasse and Didier Ch{\'{e}}telat and Nicola Ferroni and Laurent Charlin and Andrea Lodi}, editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alch{\'{e}}{-}Buc and Emily B. Fox and Roman Garnett}, title = {Exact Combinatorial Optimization with Graph Convolutional Neural Networks}, booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada}, pages = {15554--15566}, year = {2019}, url = {https://proceedings.neurips.cc/paper/2019/hash/d14c2267d848abeb81fd590f371d39bd-Abstract.html}, timestamp = {Mon, 16 May 2022 15:41:51 +0200}, biburl = {https://dblp.org/rec/conf/nips/GasseCFC019.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1906-01629, author = {Maxime Gasse and Didier Ch{\'{e}}telat and Nicola Ferroni and Laurent Charlin and Andrea Lodi}, title = {Exact Combinatorial Optimization with Graph Convolutional Neural Networks}, journal = {CoRR}, volume = {abs/1906.01629}, year = {2019}, url = {http://arxiv.org/abs/1906.01629}, eprinttype = {arXiv}, eprint = {1906.01629}, timestamp = {Mon, 17 Jun 2019 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1906-01629.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/inns/LecoeucheAG18, author = {Denis Lecoeuche and Alex Aussem and Maxime Gasse}, editor = {Seiichi Ozawa and Ah{-}Hwee Tan and Plamen P. Angelov and Asim Roy and Mahardhika Pratama}, title = {On the use of binary stochastic autoencoders for multi-label classification under the zero-one loss}, booktitle = {{INNS} Conference on Big Data and Deep Learning 2018, Sanur, Bali, Indonesia, 17-19 April 2018}, series = {Procedia Computer Science}, volume = {144}, pages = {71--80}, publisher = {Elsevier}, year = {2018}, url = {https://doi.org/10.1016/j.procs.2018.10.506}, doi = {10.1016/J.PROCS.2018.10.506}, timestamp = {Tue, 22 Jan 2019 10:09:09 +0100}, biburl = {https://dblp.org/rec/conf/inns/LecoeucheAG18.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@phdthesis{DBLP:phd/hal/Gasse17, author = {Maxime Gasse}, title = {Probabilistic Graphical Model Structure Learning: Application to Multi-Label Classification. (Apprentissage de Structure de Mod{\`{e}}les Graphiques Probabilistes: Application {\`{a}} la Classification Multi-Label)}, school = {Claude Bernard University Lyon 1}, year = {2017}, url = {https://tel.archives-ouvertes.fr/tel-01442613}, timestamp = {Tue, 21 Jul 2020 01:00:00 +0200}, biburl = {https://dblp.org/rec/phd/hal/Gasse17.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/pgm/GasseA16, author = {Maxime Gasse and Alex Aussem}, editor = {Alessandro Antonucci and Giorgio Corani and Cassio Polpo de Campos}, title = {Identifying the irreducible disjoint factors of a multivariate probability distribution}, booktitle = {Probabilistic Graphical Models - Eighth International Conference, {PGM} 2016, Lugano, Switzerland, September 6-9, 2016. Proceedings}, series = {{JMLR} Workshop and Conference Proceedings}, volume = {52}, pages = {183--194}, publisher = {JMLR.org}, year = {2016}, url = {http://proceedings.mlr.press/v52/gasse16.html}, timestamp = {Tue, 19 Jan 2021 13:09:20 +0100}, biburl = {https://dblp.org/rec/conf/pgm/GasseA16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/pkdd/GasseA16, author = {Maxime Gasse and Alex Aussem}, editor = {Paolo Frasconi and Niels Landwehr and Giuseppe Manco and Jilles Vreeken}, title = {F-Measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets}, booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, {ECML} {PKDD} 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part {I}}, series = {Lecture Notes in Computer Science}, volume = {9851}, pages = {619--631}, publisher = {Springer}, year = {2016}, url = {https://doi.org/10.1007/978-3-319-46128-1\_39}, doi = {10.1007/978-3-319-46128-1\_39}, timestamp = {Thu, 05 Dec 2019 17:07:16 +0100}, biburl = {https://dblp.org/rec/conf/pkdd/GasseA16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/GasseA16, author = {Maxime Gasse and Alex Aussem}, title = {F-measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets}, journal = {CoRR}, volume = {abs/1604.07759}, year = {2016}, url = {http://arxiv.org/abs/1604.07759}, eprinttype = {arXiv}, eprint = {1604.07759}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/GasseA16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/GasseAE15, author = {Maxime Gasse and Alexandre Aussem and Haytham Elghazel}, editor = {Francis R. Bach and David M. Blei}, title = {On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property}, booktitle = {Proceedings of the 32nd International Conference on Machine Learning, {ICML} 2015, Lille, France, 6-11 July 2015}, series = {{JMLR} Workshop and Conference Proceedings}, volume = {37}, pages = {2531--2539}, publisher = {JMLR.org}, year = {2015}, url = {http://proceedings.mlr.press/v37/gasse15.html}, timestamp = {Wed, 29 May 2019 08:41:45 +0200}, biburl = {https://dblp.org/rec/conf/icml/GasseAE15.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/GasseAE15, author = {Maxime Gasse and Alex Aussem and Haytham Elghazel}, title = {An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning}, journal = {CoRR}, volume = {abs/1505.05004}, year = {2015}, url = {http://arxiv.org/abs/1505.05004}, eprinttype = {arXiv}, eprint = {1505.05004}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/GasseAE15.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/GasseAE15a, author = {Maxime Gasse and Alex Aussem and Haytham Elghazel}, title = {A hybrid algorithm for Bayesian network structure learning with application to multi-label learning}, journal = {CoRR}, volume = {abs/1506.05692}, year = {2015}, url = {http://arxiv.org/abs/1506.05692}, eprinttype = {arXiv}, eprint = {1506.05692}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/GasseAE15a.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/eswa/GasseAE14, author = {Maxime Gasse and Alex Aussem and Haytham Elghazel}, title = {A hybrid algorithm for Bayesian network structure learning with application to multi-label learning}, journal = {Expert Syst. Appl.}, volume = {41}, number = {15}, pages = {6755--6772}, year = {2014}, url = {https://doi.org/10.1016/j.eswa.2014.04.032}, doi = {10.1016/J.ESWA.2014.04.032}, timestamp = {Fri, 26 May 2017 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/eswa/GasseAE14.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/iwbbio/AussemCKGSD14, author = {Alex Aussem and Pascal Caillet and Zara Klemm and Maxime Gasse and Anne{-}Marie Schott and Michel Ducher}, editor = {Ignacio Rojas and Francisco M. Ortu{\~{n}}o Guzman}, title = {Analysis of risk factors of hip fracture with causal Bayesian networks}, booktitle = {International Work-Conference on Bioinformatics and Biomedical Engineering, {IWBBIO} 2014, Granada, Spain, April 7-9, 2014}, pages = {1074--1085}, publisher = {Copicentro Editorial}, year = {2014}, url = {http://iwbbio.ugr.es/2014/papers/IWBBIO\_2014\_paper\_114.pdf}, timestamp = {Thu, 12 Mar 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/iwbbio/AussemCKGSD14.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/pkdd/GasseAE12, author = {Maxime Gasse and Alex Aussem and Haytham Elghazel}, editor = {Peter A. Flach and Tijl De Bie and Nello Cristianini}, title = {An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning}, booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, {ECML} {PKDD} 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part {I}}, series = {Lecture Notes in Computer Science}, volume = {7523}, pages = {58--73}, publisher = {Springer}, year = {2012}, url = {https://doi.org/10.1007/978-3-642-33460-3\_9}, doi = {10.1007/978-3-642-33460-3\_9}, timestamp = {Tue, 14 May 2019 10:00:47 +0200}, biburl = {https://dblp.org/rec/conf/pkdd/GasseAE12.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.