Mario Lasseck

Publications

Jäckel D et al. (2023) Community engagement and data quality: best practices and lessons learned from a citizen science project on birdsong. In: Journal of Ornithology 164, 233–244. DOI: 10.1007/s10336-022-02018-8

Wägele JW et al. (2022) Towards a multisensor station for automated biodiversity monitoring. In: Basic and Applied Ecology, Volume 59, 2022, ISSN 1439-1791. DOI: 10.1016/j.baae.2022.01.003

Stehle M, Lasseck M, Khorramshahi O, Sturm U (2020) Evaluation of acoustic pattern recognition of nightingale (Luscinia megarhynchos) recordings by citizens. In: Research Ideas and Outcomes 6: e50233. DOI: 10.3897/rio.6.e50233

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. Link, Link 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 (2015) Improved Automatic Bird Identification through Decision Tree based Feature Selection and Bagging. In: CEUR Workshop Proceedings. Link

Lasseck M (2014) Large-Scale Identification of Birds in Audio Recordings. In: CEUR Workshop Proceedings. 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

Tasks

• 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. Link, Link 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