safeGUARDing biodivErsity aNd critical ecosystem services across sectors and scales

Livrables

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.

Publications

Expert Finding for Citizen Science

Auteurs: Bjoern Komander, Jesus Cerquides, Jaume Piera, Jeffrey Chan, Azadeh Alavi
Publié dans: Artificial Intelligence Research and Development, Numéro Volume 375: Artificial Intelligence Research and Development, 2023, ISBN 978-1-64368-448-2
Éditeur: IOS Press
DOI: 10.3233/FAIA230659

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

Auteurs: 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
Publié dans: Biodiversity Information Science and Standards, Numéro 7.112545, 2023, ISSN 2535-0897
Éditeur: ARPHA
DOI: 10.3897/biss.7.112545

Spatio-temporal changes of forest boundaries with the use of landscape metrics, at the geographical edges of the Greek inland

Auteurs: Boutsios, S. & Drakou, E.
Publié dans: 11th Congress of the Hellenic Ecological Society, 2023
Éditeur: Hellenic Ecological Society

Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing

Auteurs: Christophe Botella, Benjamin Deneu, Diego Marcos Gonzalez, Maximilien Servajean, Théo Larcher, César Leblanc, Joachim Estopinan, Pierre Bonnet, Alexis Joly
Publié dans: Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Numéro Vol-3497, 2023, ISSN 1613-0073
Éditeur: CEUR-WS Workshop Proceedings

Quantifying spatio-temporal patterns of forest fragmentation in Hymettus Mountain, Greece

Auteurs: Lorilla, R.S. & Drakou, E.
Publié dans: 11th Congress of the Hellenic Ecological Society, 2023
Éditeur: Hellenic Ecological Society

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

Auteurs: Bjoern Komander, Jesus Cerquides, Jaume Piera
Publié dans: Frontiers in Artificial Intelligence and Applications, Numéro Volume 368, 2023, ISBN 978-1-64368-394-2
Éditeur: IOS Press
DOI: 10.3233/FAIA230120

LifeCLEF 2024 teaser: Species Identification and Prediction Challenges

Auteurs: Joly & al
Publié dans: Advances in Information Retrieval, 2024, ISBN 978-3-031-56072-9
Éditeur: 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.

Auteurs: Christophe Van Neste, Quentin Groom
Publié dans: European Conference on Ecological Modelling - ECOLOGICAL MODELLING FOR TRANSFORMATION, Numéro ECEM23, 2023
Éditeur: International Society for Ecological Modelling

Decision-making in citizen science technologies: a spectrum of possibilities

Auteurs: Karen Soacha Godoy and Jaume Piera
Publié dans: Conference XIX Biennial IASC Conference 'The Commons We Want: Between Historical Legacies and Future Collective Actions', 2023
Éditeur: IASC

A framework for assessing changes in ecosystem services within the priorities of the new EU Green Deal.

Auteurs: Lorilla, R.S. & Drakou, E.
Publié dans: Proceedings of the 11th Congress of the Hellenic Ecological Society, 2023
Éditeur: Hellenic Ecological Society

Overview of PlantCLEF 2023: Image-based Plant Identification at Global Scale

Auteurs: Hervé Goëau, Pierre Bonnet, and Alexis Joly
Publié dans: Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Numéro Vol-3497, 2023, ISSN 1613-0073
Éditeur: CEUR-WS Workshop Proceedings

Overview of LifeCLEF 2023: evaluation of AI models for the identification and prediction of birds, plants, snakes and fungi

Auteurs: Alexis Joly, Christophe Botella, Lukáš Picek, Stefan Kahl, Hervé Goëau, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, César Leblanc, Théo Larcher
Publié dans: Experimental IR Meets Multilinguality, Multimodality, and Interaction, Numéro 14163, 2023, ISBN 978-3-031-42447-2
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-42448-9_27

Modelling Species Distributions with Deep Learning to Predict Plant Extinction Risk and Assess Climate Change Impacts

Auteurs: Estopinan, Joaquim; Bonnet, Pierre; Servajean, Maximilien; Munoz, François; Joly, Alexis
Publié dans: 2024
Éditeur: arXiv
DOI: 10.48550/arxiv.2401.05470

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

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

Mapping global orchid assemblages with deep learning provides novel conservation insights

Auteurs: Joaquim Estopinan, Maximilien Servajean, Pierre Bonnet, Alexis Joly, François Munoz
Publié dans: Ecological Informatics, Numéro 81, 2024, ISSN 1574-9541
Éditeur: Elsevier BV
DOI: 10.1016/j.ecoinf.2024.102627

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

Auteurs: Drew Priebe, Burooj Ghani and Dan Stowell
Publié dans: Sensors, Numéro 7, 2024, ISSN 1424-8220
Éditeur: MDPI
DOI: 10.3390/s24072046

Livrables

Publications

Partager cette page

Télécharger