Christoph Linse, M.Sc.

Raum 1.018

Institut für Neuro- und Bioinformatik
Ratzeburger Allee 160 (Geb. 64)
23562 Lübeck

Email:
Phone:
+49 451 3101 5514
Fax:
+49 451 3101 5504

Publikationen

2020

  • Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz: Deep Convolutional Neural Networks for Unconstrained Ear Recognition. IEEE Access, no. 8, pp. 170295-170310, IEEE, 2020
    BibTeX Link
    @article{AlLiBaMa20,
      title={Deep {C}onvolutional {N}eural {N}etworks for {U}nconstrained {E}ar {R}ecognition},
      author={Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz},
      journal={IEEE Access},
      publisher={IEEE},
      volume={8},
      pages={170295--170310},
      year={2020},
      url = {http://webmail.inb.uni-luebeck.de/inb-publications/pdfs/AlLiBaMa20.pdf},
    }
    
    

2019

  • Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz: Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition. sensors, no. 19, pp. 4139, Multidisciplinary Digital Publishing Institute, 2019
    BibTeX Link
    @article{AlLiBaMa19,
    author={Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz},
    title = {Ensembles of {D}eep {L}earning {M}odels and {T}ransfer {L}earning for {E}ar {R}ecognition},
    journal = {sensors},
    volume={19},
    number={19},
    pages={4139},
    year={2019},
    publisher={Multidisciplinary Digital Publishing Institute},
    url = {https://www.mdpi.com/1424-8220/19/19/4139},
    url = {http://webmail.inb.uni-luebeck.de/inb-publications/pdfs/AlLiBaMa19.pdf},
    }
    
    
  • Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz: Handcrafted versus CNN Features for Ear Recognition. Symmetry, no. 11, pp. 1493, 2019
    BibTeX Link
    @article{AlLiBaMa19a,
      title={{Handcrafted versus CNN Features for Ear Recognition}},
      author={Hammam Alshazly and Christoph Linse and Erhardt Barth and Thomas Martinetz},
      journal={Symmetry},
      volume={11},
      number={12},
      pages={1493},
      year={2019},
      url = {http://webmail.inb.uni-luebeck.de/inb-publications/pdfs/AlLiBaMa19a.pdf},
    }