Back to top

Mario Lasseck

Mario Lasseck
Fax: +49 30 889140 - 8559

Museum für Naturkunde
Leibniz-Institut für Evolutions- und Biodiversitätsforschung
Invalidenstraße 43
10115 Berlin


  • Research associate at science program "Digital World and Information Science"

Involved in the project Naturblick - Stadtnatur entdecken

  • Involved in the project SYNTHESYS+
  • Involved in the project DeViSe
  • Involved in the project AMMOD
  • Involved in the Center for Integrative Biodiversity Discovery

Research interests

  • Pattern recognition
  • Machine learning

Publications (selection)

Lasseck M (2019) Bird Species Identification in Soundscapes. In: CEUR Workshop Proceedings. Link

Lasseck M (2018) Acoustic Bird Detection with Deep Convolutional Neural Networks. In: Plumbley MD et al. (eds) Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018), pp. 143-147, Tampere University of Technology. LinkLink Proceedings, Link Workshop Presentation.

Lasseck M (2018) Machines vs. Human Experts: Contribution to the ExpertLifeCLEF 2018 Plant Identification Task. In: CEUR Workshop Proceedings. Link

Lasseck M (2018) Audio-based Bird Species Identification with Deep Convolutional Neural Networks. In: CEUR Workshop Proceedings. Link

Bonnet P, Goëau H, Hang ST, Lasseck M, Sulc M, Malécot V, Jauzein P, Melet JC, You C, Joly A (2018) Plant Identification: Experts vs. Machines in the Era of Deep Learning. In: Joly A, Vrochidis S, Karatzas K, Karppinen A, Bonnet P (eds) Multimedia Tools and Applications for Environmental & Biodiversity Informatics. Multimedia Systems and Applications. Springer, Cham. Link

Lasseck M (2017) Image-based Plant Species Identification with Deep Convolutional Neural Networks. In: CEUR Workshop Proceedings. Link

Lasseck M (2016) Improving Bird Identification using Multiresolution Template Matching and Feature Selection during Training. In: CEUR Workshop Proceedings. Link

Lasseck M (2015) Towards Automatic Large-Scale Identification of Birds in Audio Recordings. In: Mothe J. et al. (eds) Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2015. Lecture Notes in Computer Science, vol 9283. Springer, Cham. Link

Lasseck M (2013) Bird Song Classification in Field Recordings. In: Proceedings of ‘Neural Information Processing Scaled for Bioacoustics: from Neurons to Big Data - NIP4B’, joint to NIPS Conf., pages 176-181, ISSN 979-10-90821-04-0. Link