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research:publications [2017/01/15 21:25]
atif
research:publications [2017/12/12 23:40] (current)
atif
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 ==== Preprints and submitted work==== ==== Preprints and submitted work====
  
-  ​- Mariusz Bojarski, Anna Choromanska,​ Krzysztof Choromanski,​ Francois Fagan, Cedric Gouy-Pailler,​ Anne Morvan, Nouri Sakr, Tamas Sarlos, Jamal Atif. [[https://​arxiv.org/​pdf/​1610.06209.pdf|Structured adaptive and random spinners for fast machine learning computations]]. arXiv preprint arXiv:​1610.06209,​ 2016. //Work with Google NYC. Submitted to AISTAT 2017//. ''​Category'':​ Machine Learning +  ​Marc Aiguier, Jamal Atif, Isabelle Bloch, Céline Hudelot. ​\\ [[https://​arxiv.org/​submit/​1777099/​view|A finite basis theorem for the description logic ALC]]. arXiv preprint arXiv:​1502.07634,​ 2016. \\ //Submitted to Information Processing Letters//​. ​\\ ''​Category'':​ Artificial Intelligence,​ Logics 
-  - Marc Aiguier, Jamal Atif, Isabelle Bloch, Céline Hudelot. [[https://​arxiv.org/​submit/​1777099/​view|A finite basis theorem for the description logic ALC]]. arXiv preprint arXiv:​1502.07634,​ 2016. //Submitted to Information Processing Letters//. ''​Category'':​ Artificial Intelligence,​ Logics +
-  - Marc Aiguier, Jamal Atif, Isabelle Bloch, Céline Hudelot. [[https://​arxiv.org/​submit/​1777104/​view| Belief Revision, Minimal Change and Relaxation: A General Framework based on Satisfaction Systems, and Applications to Description Logics]].arXiv preprint arXiv:​1502.02298. //Submitted to Artificial Intelligence Journal//. ''​Category'':​ Artificial Intelligence,​ Logics, Knowledge representation and Reasoning.+
  
 ==== Published papers==== ==== Published papers====
 +==2018==
 +  * Marc Aiguier, Jamal Atif, Isabelle Bloch, Céline Hudelot.\\ [[https://​arxiv.org/​submit/​1777104/​view| Belief Revision, Minimal Change and Relaxation: A General Framework based on Satisfaction Systems, and Applications to Description Logics]]. arXiv preprint arXiv:​1502.02298. //to appear in **Artificial Intelligence Journal**//​. \\ ''​Category'':​ Artificial Intelligence,​ Logics, Knowledge representation and Reasoning.
 +
 ==2017== ==2017==
-   - Yoann Isaac, Quentin Barthélemy,​ Cédric Gouy-Pailler,​ Michèle Sebag, Jamal Atif. [[https://​arxiv.org/​pdf/​1609.09525|Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations]],​ //Signal Processing//,​ 2017, vol. 130, p. 389-402. ''​Category'':​ Machine Learning+  *  Fabien Labernia, Bruno Zanuttini, Brice Mayag, Florian Yger, and Jamal Atif. Online learning of acyclic conditional preference networks from noisy data. [[http://​icdm2017.bigke.org/​|IEEE ICDM 2017]]. ''​Category'':​ Machine Learning. 
 + 
 +  * Fabien Labernia, Florian Yger, Brice Mayag, and Jamal Atif. [[https://​link.springer.com/​epdf/​10.1007/​s40070-017-0070-3?​author_access_token=HWCfZE4UebuxQPMCupkMvve4RwlQNchNByi7wbcMAY7WUX7Rbyf3E6mU8qw1FPbXAy_v64uxBVHp7FeUApBG6-VPlHsgskrvYHWU0-80nkRecRN1-Ia16MkW7PvFs2jAoepUqfg913Oy-SaCmV-kzw%3D%3D|Query-based learning of acyclic conditional preference networks from contradictory preferences]]. //EURO Journal on Decision Processes//,​ 2017. ''​Category'':​ Machine Learning 
 + 
 +  * Mariusz Bojarski, Anna Choromanska,​ Krzysztof Choromanski,​ Francois Fagan, Cedric Gouy-Pailler,​ Anne Morvan, Nouri Sakr, Tamas Sarlos, Jamal Atif. [[https://​arxiv.org/​pdf/​1610.06209.pdf|Structured adaptive and random spinners for fast machine learning computations]]. arXiv preprint arXiv:​1610.06209,​ 2016.  //Work with Google NYC. Accepted at [[http://​www.aistats.org/​|AISTAT 2017]]//. ''​Category'':​ Machine Learning 
 + 
 +  * Yoann Isaac, Quentin Barthélemy,​ Cédric Gouy-Pailler,​ Michèle Sebag, Jamal Atif. [[https://​arxiv.org/​pdf/​1609.09525|Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations]],​ //Signal Processing//,​ 2017, vol. 130, p. 389-402. ''​Category'':​ Machine Learning 
 + 
 +  * Timothée Evain, Xavier Ripoche, J. Atif et Isabelle Bloch. Semi-automatic teeth segmentation in cone-beam computed tomography by graph-cut with statistical shape prior. //IEEE International Symposium on Biomedical Imaging//, Melbourne, Australia, 2017. ''​Category'':​ Machine Learning, image processing, medical imaging 
 + 
 ==2016== ==2016==
   * Isabelle Bloch and Jamal Atif. [[https://​www.degruyter.com/​downloadpdf/​j/​mathm.2016.1.issue-1/​mathm-2016-0005/​mathm-2016-0005.xml|Defining and computing Hausdorff distances between distributions on the real line and on the circle: link between optimal transport and morphological dilations]],​ //​Mathematical Morphology-Theory and Applications//,​ 2016, vol. 1, no 1, p. 79-99.   * Isabelle Bloch and Jamal Atif. [[https://​www.degruyter.com/​downloadpdf/​j/​mathm.2016.1.issue-1/​mathm-2016-0005/​mathm-2016-0005.xml|Defining and computing Hausdorff distances between distributions on the real line and on the circle: link between optimal transport and morphological dilations]],​ //​Mathematical Morphology-Theory and Applications//,​ 2016, vol. 1, no 1, p. 79-99.
research/publications.1484511933.txt.gz · Last modified: 2017/01/15 21:25 by atif