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@article{DBLP:journals/bspc/MedranoKR24,
  author       = {Johan Medrano and
                  Abderrahmane Kheddar and
                  Sofiane Ramdani},
  title        = {Assessing time series correlation significance: {A} parametric approach
                  with application to physiological signals},
  journal      = {Biomed. Signal Process. Control.},
  volume       = {94},
  pages        = {106235},
  year         = {2024},
  url          = {https://doi.org/10.1016/j.bspc.2024.106235},
  doi          = {10.1016/J.BSPC.2024.106235},
  timestamp    = {Thu, 04 Jul 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/bspc/MedranoKR24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@phdthesis{DBLP:phd/hal/Medrano22,
  author       = {Johan Medrano},
  title        = {Using nonlinear analysis of {EEG} signals in reconstructing movement
                  trajectories. (Analyse non-lin{\'{e}}aire de signaux {EEG} pour
                  la reconstruction de trajectoires de mouvement)},
  school       = {University of Montpellier, France},
  year         = {2022},
  url          = {https://tel.archives-ouvertes.fr/tel-04122538},
  timestamp    = {Sat, 01 Jul 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/phd/hal/Medrano22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/ami/MedranoL19,
  author       = {Johan Medrano and
                  Fuchun Joseph Lin},
  editor       = {Ioannis Chatzigiannakis and
                  Boris E. R. de Ruyter and
                  Irene Mavrommati},
  title        = {Enabling Machine Learning Across Heterogeneous Sensor Networks with
                  Graph Autoencoders},
  booktitle    = {Ambient Intelligence - 15th European Conference, AmI 2019, Rome, Italy,
                  November 13-15, 2019, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {11912},
  pages        = {153--169},
  publisher    = {Springer},
  year         = {2019},
  url          = {https://doi.org/10.1007/978-3-030-34255-5\_11},
  doi          = {10.1007/978-3-030-34255-5\_11},
  timestamp    = {Sun, 25 Oct 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ami/MedranoL19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/sacmat/BergerMNSR19,
  author       = {Bernhard J. Berger and
                  Christian Maeder and
                  Rodrigue Wete Nguempnang and
                  Karsten Sohr and
                  Carlos E. Rubio{-}Medrano},
  editor       = {Florian Kerschbaum and
                  Atefeh Mashatan and
                  Jianwei Niu and
                  Adam J. Lee},
  title        = {Towards Effective Verification of Multi-Model Access Control Properties},
  booktitle    = {Proceedings of the 24th {ACM} Symposium on Access Control Models and
                  Technologies, {SACMAT} 2019, Toronto, ON, Canada, June 03-06, 2019},
  pages        = {149--160},
  publisher    = {{ACM}},
  year         = {2019},
  url          = {https://doi.org/10.1145/3322431.3325105},
  doi          = {10.1145/3322431.3325105},
  timestamp    = {Mon, 01 May 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/sacmat/BergerMNSR19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1912-05879,
  author       = {Johan Medrano and
                  Fuchun Joseph Lin},
  title        = {Enabling Machine Learning Across Heterogeneous Sensor Networks with
                  Graph Autoencoders},
  journal      = {CoRR},
  volume       = {abs/1912.05879},
  year         = {2019},
  url          = {http://arxiv.org/abs/1912.05879},
  eprinttype    = {arXiv},
  eprint       = {1912.05879},
  timestamp    = {Thu, 02 Jan 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1912-05879.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}