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bib:viper_report [2019/10/24 15:53]
marchand
bib:viper_report [2023/04/07 17:57] (current)
marchand
Line 1: Line 1:
 +   ​@techreport{blonde:​arxiv2022,​
 +      title={Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement Learning}, ​
 +      author={Lionel Blondé and Alexandros Kalousis and Stéphane Marchand-Maillet},​
 +      year={2022},​
 +      eprint={2107.01407}, ​    
 +   volume ={abs/​2107.01407},​
 +       journal = { CoRR },
 +      archivePrefix={arXiv},​
 +   url = { https://​arxiv.org/​abs/​2107.01407 },
 +      primaryClass={cs.LG}
 +   ​
 +}
 +
 +   ​@techreport{graziani:​arxiv2022,​
 +      title={Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs Improves Generalization}, ​
 +      author={Mara Graziani and Sebastian Otalora and Stephane Marchand-Maillet and Henning Muller and Vincent Andrearczyk},​
 +      year={2022},​
 +      eprint={2008.01478},  ​
 +   volume={abs/​2008.01478},​
 +   journal = { CoRR },
 + ​  ​ url = { https://​arxiv.org/​abs/​2008.01478 },
 +     ​archivePrefix={arXiv},​
 +      primaryClass={cs.CV}
 +}
 +
 +
 +  @techreport{brangbour:​arxiv2022,​
 +  author ​   = {Etienne Brangbour and
 +               ​Pierrick Bruneau and
 +               ​Thomas Tamisier and
 +               ​Stephane Marchand-Maillet},​
 +  title     = {Cold Start Active Learning Strategies in the Context of Imbalanced
 +               ​Classification},​
 +  journal ​  = {CoRR},
 +  volume ​   = {abs/​2201.10227},​
 +  year      = {2022},
 +  url       = {https://​arxiv.org/​abs/​2201.10227}
 +}
 +
 +  @techreport{marini:​arxiv2022,​
 +  author ​   = {Niccol{\`{o}} Marini and
 +               ​Manfredo Atzori and
 +               ​Sebastian Ot{\'​{a}}lora and
 +               ​St{\'​{e}}phane Marchand{-}Maillet and
 +               ​Henning M{\"​{u}}ller},​
 +  title     = {H{\&​}E-adversarial network: a convolutional neural network to
 +               learn stain-invariant features through Hematoxylin {\&} Eosin
 +               ​regression},​
 +  journal ​  = {CoRR},
 +  volume ​   = {abs/​2201.06329},​
 +  year      = {2022},
 +  url       = {https://​arxiv.org/​abs/​2201.06329}
 +}
 +
 +  @techreport{messina:​arxiv2106.00358,​
 +  author ​   = {Nicola Messina and
 +               ​Giuseppe Amato and
 +               ​Fabrizio Falchi and
 +               ​Claudio Gennaro and
 +               ​Stephane Marchand-Maillet},​
 +  title     = {Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder
 +               Deep Features},
 +  journal ​  = {CoRR},
 +  volume ​   = {abs/​2106.00358},​
 +  year      = {2021},
 +  url       = {https://​arxiv.org/​abs/​2106.00358}
 +}
 +
 +
 +
 +  @techreport{messina:​arxiv2008.05231,​
 + author = {Nicola Messina and Giuseppe Amato and Andrea Esuli and Fabrizio Falchi and Claudio Gennaro and  St{\'​{e}}phane Marchand{-}Maillet},​
 + title = {Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders},
 + institution = {CoRR abs/​2008.05231},​
 + year = {2020},
 +       url = {https://​arxiv.org/​abs/​2008.05231}
 +  }
 +
 +
 +  @techreport{brangbour:​arxiv2012.03731,​
 + author = {Etienne Brangbour and Pierrick Bruneau and St{\'​{e}}phane Marchand{-}Maillet and Renaud Hostache and Marco Chini and Patrick Matgen and Thomas Tamisier},
 + title = {Computing flood probabilities using Twitter: application to the Houston urban area during Harvey},
 + institution = {CoRR abs/​2012.03731},​
 + year = {2020},
 +       url = {https://​arxiv.org/​abs/​2012.03731}
 +  }
 +
 +  @techreport{ouvrard:​arxiv2003.07323,​
 + author = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},​
 + title = {Tuning Ranking in Co-occurrence Networks with General Biased Exchange-based Diffusion on Hyper-bag-graphs},​
 + institution = {CoRR abs/​2003.07323},​
 + year = {2020},
 +       url = {https://​arxiv.org/​abs/​2003.07323}
 +  }
 +  ​
 +
   @techreport{ouvrard:​arxiv1905.11695,​   @techreport{ouvrard:​arxiv1905.11695,​
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},​  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},​
bib/viper_report.1571925206.txt.gz · Last modified: 2019/10/24 15:53 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