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EXPLAINABLE AI PIPELINES FOR BIG COPERNICUS DATA

Deliverables

Project Management & Quality plan

Guidelines to ensure high quality research development and reporting along with a project time plan

DeepCube technical components-v1

Inputs on developments adjustments finetuning of the technological components

Initial Communication and Dissemination plan

At the early stage of the proposal to update communication plan and dissemination plan identifying target audiences key messages channels tools and metrics

DeepCube platform requirements, specs and architecture-v1

Technical specifications and the architectural design of the DeepCube platform

Data Management Plan v1

DMP formulation contributing in making data FAIR

Website & Material

Website up and running along with any other material will support outreach activities brochures leaflets video newsletter etc

Searching for OpenAIRE data...

Publications

Learning drivers of climate-induced human migrations with Gaussian processes

Author(s): Jose M. Tarraga, Maria Piles, Gustau Camps-Valls
Published in: NeurIPS 2020 Workshop on Machine Learning for the Developing World, 2020
Publisher: NeurIPS 2020 Workshop on Machine Learning for the Developing World

Sen4AgriNet: A Harmonized Multi-Country, Multi-Temporal Benchmark Dataset for Agricultural Earth Observation Machine Learning Applications

Author(s): D. Sykas, I. Papoutsis, D. Zografakis
Published in: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 12 October 2021, 2021, Page(s) 5830-5833
Publisher: IEEE
DOI: 10.1109/igarss47720.2021.9553603

Deep Learning Methods for Daily Wildfire Danger Forecasting

Author(s): Ioannis Prapas, Spyros Kondylatos, Ioannis Papoutsis, Gustau Camps-Valls, Michele Ronco, Miguel-Ángel Fernández-Torres, Maria Piles Guillem, Nuno Carvalhais
Published in: Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 4 November 2021, 2021
Publisher: NeurIPS

DEEPCUBE: EXPLAINABLE AI PIPELINES FOR BIG COPERNICUS DATA

Author(s): Ioannis Papoutsis, Alkyoni Baglatzi, Souzana Touloumtzi, Markus Reichstein, Nuno Carvalhais, Fabian Gans, Gustau Camps-Valls, Maria Piles, Theofilos Kakantousis, Jim Dowling, Manolis Koubarakis, Dimitris Bilidas, Despina-Athanasia Pantazi, George Stamoulis, Christophe Demange, Leo-Gad Journel, Marco Bianchi, Chiara Gervasi, Alessio Rucci, Ioannis Tsampoulatidis, Eleni Kamateri, Tarek Habib, Alejan
Published in: Proceedings of the 2021 conference on Big Data from Space (BiDS’21), 2021
Publisher: Proceedings of the 2021 conference on Big Data from Space (BiDS’21)

Learning class prototypes from Synthetic InSAR with Vision Transformers

Author(s): Nikolaos Ioannis Bountos, Dimitrios Michail, Ioannis Papoutsis
Published in: 2022
Publisher: arXiv
DOI: 10.48550/arxiv.2201.03016

Efficient deep learning models for land cover image classification

Author(s): Ioannis Papoutsis, Nikolaos-Ioannis Bountos, Angelos Zavras, Dimitrios Michail, Christos Tryfonopoulos
Published in: 2021
Publisher: arXiv

Self-supervised Contrastive Learning for Volcanic Unrest Detection

Author(s): Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Nantheera Anantrasirichai
Published in: IEEE Geoscience and Remote Sensing Letters, Volume 19, 2021, Page(s) 1-5, ISSN 1558-0571
Publisher: IEEE
DOI: 10.1109/lgrs.2021.3104506