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bib:viper_conf [2017/12/20 17:06]
marchand
bib:viper_conf [2018/11/27 14:23]
marchand
Line 1: Line 1:
-  @inproceedings{romanrangel:mcpr2017+   ​@inproceedings{ouvrard:​MCCC322018,​ 
-  author ​   = {Edgar Roman-Rangel ​and Stephane Marchand-Maillet},​ +  author ​   = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},​ 
-  title     = {Assessing Deep Learning ​Architectures ​for Vizualising Maya Hieroglyphs}, +  title     = {On {Hb}-graphs and their application to hypergraph e-adjacency tensor}, 
-  booktitle = {Mexican ​Conference on Pattern Recognition ​(MCPR2017)}, +  booktitle = {MCCCC 32 - Midwest Conference on Combinatorics and Combinatorial Computing},​ 
-  address = {MexicoMX},+  address = {Duluth, USA}, 
 +  year      = {2018}, 
 +
 + 
 +   @inproceedings{ouvrard:IMA2018
 +  author ​   = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},​ 
 +  title     = {On Adjacency and e-Adjacency in General Hypergraphs:​ Towards a New e-Adjacency Tensor}, 
 +  booktitle = {IMA Conference on Theoretical and Computational Discrete Mathematics},​ 
 +  address = {Derby, UK}, 
 +  year      = {2018}, 
 +
 + 
 +   ​@inproceedings{gregorova:​ecml2017,​ 
 +  author ​   = {Magda Gregorova and Alexandros Kalousis and Stephane Marchand-Maillet},​ 
 +  title     = {Forecasting and Granger modelling with non-linear dynamical dependencies},​ 
 +  booktitle = {ECML/PKDD 2017}, 
 +  address = {Skopje, MD}, 
 +  year      = {2017}, 
 +
 + 
 +   ​@inproceedings{gregorova:​acml2017,​ 
 +  author ​   = {Magda Gregorova and Alexandros Kalousis ​and Stephane Marchand-Maillet},​ 
 +  title     = {Learning ​Predictive Leading Indicators ​for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks}, 
 +  booktitle = {Asian Conference on Machine Learning ​(ACML2017)}, 
 +  address = {SoulSouth Korea},
   year      = {2017},   year      = {2017},
 } }
Line 81: Line 105:
 } }
  
 +  @inproceedings{gregorova:​icml2015,​
 +  author ​   = {Magda Gregorova and Alexandros Kalousis and Stephane Marchand-Maillet and Jun Wang},
 +  title     = {Learning coherent Granger-causality in panel vector autoregressive models},
 +  booktitle = {Demand Forecasting Workshop at ICML 2015},
 +  year      = {2015},
 + }
 + 
   @inproceedings{sun:​nips2015,​   @inproceedings{sun:​nips2015,​
   author ​   = {Ke Sun and Jun Wang and Alexandros Kalousis and Stephane Marchand-Maillet},​   author ​   = {Ke Sun and Jun Wang and Alexandros Kalousis and Stephane Marchand-Maillet},​
Line 100: Line 131:
 } }
  
-  @article{gregorova:​arxiv2015,​ 
-  author ​   = {Magda Gregorova and Alexandros Kalousis and Stephane Marchand-Maillet and Jun Wang}, 
-  title     = {Learning vector autoregressive models with focalised Granger-causality graphs}, 
-  journal ​  = {CoRR}, 
-  volume ​   = {abs/​1507.01978},​ 
-  year      = {2015}, 
-  url       = {http://​arxiv.org/​abs/​1507.01978},​ 
-} 
  
   @inproceedings{osipyan:​iccsw2015,​   @inproceedings{osipyan:​iccsw2015,​
bib/viper_conf.txt · Last modified: 2024/04/24 22:32 by marchand
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Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion