Trusted Extremely Precise Mapping and Prediction for Emergency Management

Información del proyecto

TEMA

Identificador del acuerdo de subvención: 101093003

DOI

10.3030/101093003

Fecha de la firma de la CE 18 Noviembre 2022

Fecha de inicio 1 Diciembre 2022

Fecha de finalización 30 Noviembre 2026

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 11 340 223,75

Aportación de la UE

€ 11 340 223,50

Coordinado por

ARISTOTELIO PANEPISTIMIO THESSALONIKIS
Greece

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (6)

Report on TEMA platform design, data models and architecture

Report documenting the technical specifications, data models and architecture of the TEMA platform, based on T2.2

Report on TEMA requirements

Document detailing the TEMA use cases and user requirements, based on Task T2.1

Report on phenomenon prediction and information fusion

Document reporting initial research results of Tasks T4.1 and T4.3

Report on algorithms for precise Digital Twin construction

Document reporting preliminary research results of Task T5.1

First report on algorithms for extreme data analytics

Document reporting initial research results of Tasks T3.1, T3.2 and T3.3

First report on dissemination and communication activities, clustering, and standardization recommendations

Overview of dissemination activities carried out during the project and communication materials produced. It also includes a detailed report with the progress of collaboration and clustering activities. It reports results of T7.1 and T7.4.

Publicaciones

Peer reviewed articles (9)

Clustering-Based Joint Topic-Sentiment Modeling of Social Media Data: A Neural Networks Approach

Autores: David Hanny, Bernd Resch
Publicado en: Information, Edición 15, 2024, ISSN 0000-0000
Editor: MDPI
DOI: 10.3390/info15040200

The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus

Autores: Hedström, Anna; Bommer, Philine; Wickstrøm, Kristoffer K.; Samek, Wojciech; Lapuschkin, Sebastian; Höhne, Marina M. -C.
Publicado en: Transactions on Machine Learning Research, 2023, ISSN 0000-0000
Editor: TMLR (electronically published)
DOI: 10.48550/arxiv.2302.07265

Drowning in the Information Flood: Machine-Learning-Based Relevance Classification of Flood-Related Tweets for Disaster Management

Autores: Eike Blomeier, Sebastian Schmidt, Bernd Resch
Publicado en: Information, Edición 15, 2024, ISSN 0000-0000
Editor: MDPI
DOI: 10.3390/info15030149

AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark

Autores: Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, Wojciech Samek
Publicado en: n/a, 2023, ISSN 0000-0000
Editor: n/a
DOI: 10.1016/j.jfranklin.2023.11.038

Explainable Ai for Time Series Via Virtual Inspection Layers

Autores: Johanna Vielhaben; Sebastian Lapuschkin; Grégoire Montavon; Wojciech Samek
Publicado en: arXiv, 2023, ISSN 0000-0000
Editor: Science Direct
DOI: 10.1016/j.patcog.2024.110309

Human-Centered Evaluation of XAI Methods

Autores: Dawoud, Karam; Samek, Wojciech; Eisert, Peter; Lapuschkin, Sebastian; Bosse, Sebastian
Publicado en: 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 2023, ISSN 0000-0000
Editor: IEEE
DOI: 10.48550/arxiv.2310.07534

Privacy-Shielding Autonomous Systems For Natural Disaster Management (Ndm): Targeted Regulation Of The Use Of Autonomous Systems For Natural Disaster Management Goals Before The Materialization Of The Privacy Harm

Autores: Georgios Bouchagiar, Vasileios Mygdalis, Ioannis Pitas
Publicado en: European Public Law, Edición 29, 2023, ISSN 0000-0000
Editor: Kluwer Law
DOI: 10.54648/euro2023020

Detection and Estimation of Gas Sources With Arbitrary Locations Based on Poisson's Equation

Autores: Dmitriy Shutin; Thomas Wiedemann; Patrick Hinsen
Publicado en: IEEE Open Journal of Signal Processing, Edición 5, 2023, ISSN 0000-0000
Editor: IEEE
DOI: 10.1109/OJSP.2023.3344076

From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space

Autores: Dreyer, Maximilian; Pahde, Frederik; Anders, Christopher J.; Samek, Wojciech; Lapuschkin, Sebastian
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, 2024, 2024, ISSN 0000-0000
Editor: AAAI
DOI: 10.48550/arxiv.2308.09437

Conference proceedings (14)

When Robotics Meets Distributed Learning: the Federated Learning Robotic Network Framework

Autores: Roberto Marino, Lorenzo Carnevale and Massimo Villari
Publicado en: ISCC 2023, 2023, ISSN 0000-0000
Editor: IEEE
DOI: 10.1109/ISCC58397.2023.10218022

Multimodal Geo-Information Extraction From Social Media For Supporting Decision-Making In Disaster Management

Autores: David Hanny, Bernd Resch
Publicado en: AGILE: GIScience Series, Edición 5, 2024, ISSN 0000-0000
Editor: n/a
DOI: 10.5194/agile-giss-5-28-2024

Active Learning for Identifying Disaster-Related Tweets: A Comparison with Keyword Filtering and Generic Fine-Tuning

Autores: David Hanny, Sebastian Schmidt, Bernd Resch
Publicado en: Intelligent Systems Conference, 2024, ISSN 0000-0000
Editor: n/a

XAI-based Comparison of Input Representations for Audio Event Classification

Autores: Frommholz, Annika; Seipel, Fabian; Lapuschkin, Sebastian; Samek, Wojciech; Vielhaben, Johanna
Publicado en: ACM Digital Library, 2023, ISSN 0000-0000
Editor: ACM
DOI: 10.48550/arxiv.2304.14019

Make Federated Learning a Standard in Robotics by Using ROS2

Autores: Roberto Marino, Lorenzo Carnevale, Maria Fazio, and Massimo Villari
Publicado en: BDCAT 2023, 2023, ISSN 0000-0000
Editor: ACM
DOI: 10.1145/3632366.3632373

PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits

Autores: Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben, Wojciech Samek, Sebastian Lapuschkin
Publicado en: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR), 2023, ISSN 0000-0000
Editor: IEEE
DOI: 10.48550/arXiv.2404.06453

Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations

Autores: Dreyer, Maximilian; Achtibat, Reduan; Samek, Wojciech; Lapuschkin, Sebastian
Publicado en: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, 2023, ISSN 0000-0000
Editor: IEEE
DOI: 10.48550/arxiv.2311.16681

Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression

Autores: Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin
Publicado en: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR), 2024, ISSN 0000-0000
Editor: IEEE
DOI: 10.5281/zenodo.11545313

Evaluating Deep Neural Network-based Fire Detection for Natural Disaster Management

Autores: Matthaios D Tzimas, Christos Papaioannidis, Vasileios Mygdalis and Ioannis Pitas
Publicado en: Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies, 2024
Editor: Association for Computing Machinery
DOI: 10.1145/3632366.3632369

Data Operational Driven AI-based Architecture for Natural Disaster Management

Autores: Serena Sebbio, Lorenzo Carnevale, Daniel Balouek, Antonino Galletta, Manish Parashar, Massimo Villari
Publicado en: CCGrid Workshop 2024, 2024, ISSN 0000-0000
Editor: CCGrid

Federated Learning on Raspberry Pi 4: A Comprehensive Power Consumption Analysis

Autores: Serena Sebbio, Gabriele Morabito, Alessio Catalfamo, Lorenzo Carnevale, and Maria Fazio
Publicado en: UCC 2023, 2023, ISSN 0000-0000
Editor: ACM
DOI: 10.1145/3603166.3632545

Distributed Superresolution Gas Source Localization Based on Poisson Equation

Autores: Dmitriy Shutin; Thomas Wiedemann; Patrick Hinsen
Publicado en: In proceedings of IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023
Editor: IEEE
DOI: 10.1109/CAMSAP58249.2023.10403503

EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management

Autores: Mario Colosi, Marco Garofalo, Lorenzo Carnevale, Roberto Marino, Maria Fazio, and Massimo Villari
Publicado en: BDCAT 2023, 2023, ISSN 0000-0000
Editor: ACM
DOI: 10.1145/3632366.3632372

Supporting the Natural Disaster Management Distributing Federated Intelligence over the Cloud-Edge Continuum: the TEMA Architecture

Autores: Lorenzo Carnevale, Antonio Filograna, Francesco Arigliano, Roberto Marino, Armando Ruggeri, and Maria Fazio
Publicado en: BDCAT 2023, 2023
Editor: ACM
DOI: 10.1145/3632366.3632371

Other (5)

A Fresh Look at Sanity Checks for Saliency Maps

Autores: Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina Höhne
Publicado en: 2024, ISSN 0000-0000
Editor: n/a
DOI: 10.5281/zenodo.11546698

DualView: Data Attribution from the Dual Perspective

Autores: Galip Ümit Yolcu, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Publicado en: n/a, 2024, ISSN 0000-0000
Editor: n/a
DOI: 10.48550/arXiv.2402.12118

Explaining Predictive Uncertainty by Exposing Second-Order Effects

Autores: Bley, Florian; Lapuschkin, Sebastian; Samek, Wojciech; Montavon, Grégoire
Publicado en: n/a, 2024, ISSN 0000-0000
Editor: n/a
DOI: 10.48550/arxiv.2401.17441

Layer-wise Feedback Propagation

Autores: Weber, Leander; Berend, Jim; Binder, Alexander; Wiegand, Thomas; Samek, Wojciech; Lapuschkin, Sebastian
Publicado en: n/a, 2023, ISSN 0000-0000
Editor: n/a
DOI: 10.48550/arxiv.2308.12053

FedROS: The ROS Framework for Federated Learning on Mobile Edge Devices

Autores: Lorenzo Carnevale, Mark Adrian Gambito, Roberto Marino, Davide Saraniti, Alessio Catalfamo, Massimo Villari
Publicado en: Flower AI Summit 2024, 2024, ISSN 0000-0000
Editor: n/a