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safeGUARDing biodivErsity aNd critical ecosystem services across sectors and scales

Risultati finali

D2.1 - MSP and functional requirements elicitation and analysis

MSP and functional requirements elicitation and analysis (DRAXIS) [M14]: Version including the MSP guidelines, and the methodological framework of the co-creation processes, providing the assessment of end-user needs according to the results and the produced matrixes.

D6.1 - Dissemination, communication and data governance plan - Initial

Initial report presenting the dissemination, communication, and data governance plan and undertaken activities.

D4.3 - Integrated GUARDEN system and DSAs - Intial

Initial version of the integrated GUARDEN system and the five developed DSAs

D2.5 - GUARDEN system architecture design and technical specifications - Initial

GUARDEN system architecture design and technical specifications (INRIA) [M09]: Initial version with the technical specifications.

D3.3 - Improving species assemblages' prediction through species interactions - Initial

Initial version including the construction of species interaction networks.

D4.1 - GUARDEN ICT tools - Initial

Initial version of the GUARDEN ICT tools

D5.1 - Planning and setup handbook, and operational management report - Initial

Initial version including the planning and setup handbook

D2.2 - Case studies requirements, dimensions and target KPIs - Initial

Case studies requirements, dimensions and target KPIs (DRAXIS) [M07]: Initial version including the initial collection of (non-)functional requirements, selected KPIs and target values, following up on analysis and feedback from the technical deliverables and end-users’ final requirements.

Pubblicazioni

Synergizing Digital, Biological, and Participatory Sciences for Global Plant Species Identification: Enabling access to a worldwide identification service

Autori: P. Bonnet, A. Affouard, J.-Ch. Lombardo, M. Chouet, H. Gresse, V. Hequet, R. Palard, M. Fromholtz, V. Espitalier, H. Goëau, B. Deneu, C. Botella, J. Estopinan, C. Leblanc, M. Servajean, F. Munoz, A. Joly
Pubblicato in: Biodiversity Information Science and Standards, Numero 7.112545, 2023, ISSN 2535-0897
Editore: ARPHA
DOI: 10.3897/biss.7.112545

Developing and Validating Tools for the Automated Analysis and Enhancement of Online Discussions

Autori: Bjoern Komander, Jesus Cerquides, Jaume Piera
Pubblicato in: Frontiers in Artificial Intelligence and Applications, Numero Volume 368, 2023, ISBN 978-1-64368-394-2
Editore: IOS Press
DOI: 10.3233/FAIA230120

LifeCLEF 2024 teaser: Species Identification and Prediction Challenges

Autori: Joly & al
Pubblicato in: Advances in Information Retrieval, 2024, ISBN 978-3-031-56072-9
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-56072-9_3

Mapping joint species distribution model predictions on the known species interactions space to increase causal understanding.

Autori: Christophe Van Neste, Quentin Groom
Pubblicato in: European Conference on Ecological Modelling - ECOLOGICAL MODELLING FOR TRANSFORMATION, Numero ECEM23, 2023
Editore: International Society for Ecological Modelling

Mapping global orchid assemblages with deep learning provides novel conservation insights

Autori: Joaquim Estopinan, Maximilien Servajean, Pierre Bonnet, Alexis Joly, François Munoz
Pubblicato in: Ecological Informatics, Numero 81, 2024, ISSN 1574-9541
Editore: Elsevier BV
DOI: 10.1016/j.ecoinf.2024.102627

Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation

Autori: Drew Priebe, Burooj Ghani and Dan Stowell
Pubblicato in: Sensors, Numero 7, 2024, ISSN 1424-8220
Editore: MDPI
DOI: 10.3390/s24072046

The GeoLifeCLEF 2023 Dataset to evaluate plant species distribution models at high spatial resolution across Europe

Autori: Botella, Christophe; Deneu, Benjamin; Marcos, Diego; Servajean, Maximilien; Estopinan, Joaquim; Larcher, Théo; Leblanc, César; Bonnet, Pierre; Joly, Alexis
Pubblicato in: https://hal.science/hal-04152362, 2023, ISSN 0415-2362
Editore: hal
DOI: 10.48550/arxiv.2308.05121

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