Trusted Extremely Precise Mapping and Prediction for Emergency Management

Informations projet

TEMA

N° de convention de subvention: 101093003

DOI

10.3030/101093003

Date de signature de la CE 18 Novembre 2022

Date de début 1 Decembre 2022

Date de fin 30 Novembre 2026

Financé au titre de

• Digital, Industry and Space

Coût total

€ 11 340 223,75

Contribution de l’UE

€ 11 340 223,50

Coordonné par

ARISTOTELIO PANEPISTIMIO THESSALONIKIS
Greece

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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.

Publications

Peer reviewed articles (9)

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

Auteurs: David Hanny, Bernd Resch
Publié dans: Information, Numéro 15, 2024, ISSN 0000-0000
Éditeur: MDPI
DOI: 10.3390/info15040200

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

Auteurs: Hedström, Anna; Bommer, Philine; Wickstrøm, Kristoffer K.; Samek, Wojciech; Lapuschkin, Sebastian; Höhne, Marina M. -C.
Publié dans: Transactions on Machine Learning Research, 2023, ISSN 0000-0000
Éditeur: 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

Auteurs: Eike Blomeier, Sebastian Schmidt, Bernd Resch
Publié dans: Information, Numéro 15, 2024, ISSN 0000-0000
Éditeur: MDPI
DOI: 10.3390/info15030149

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

Auteurs: Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, Wojciech Samek
Publié dans: n/a, 2023, ISSN 0000-0000
Éditeur: n/a
DOI: 10.1016/j.jfranklin.2023.11.038

Explainable Ai for Time Series Via Virtual Inspection Layers

Auteurs: Johanna Vielhaben; Sebastian Lapuschkin; Grégoire Montavon; Wojciech Samek
Publié dans: arXiv, 2023, ISSN 0000-0000
Éditeur: Science Direct
DOI: 10.1016/j.patcog.2024.110309

Human-Centered Evaluation of XAI Methods

Auteurs: Dawoud, Karam; Samek, Wojciech; Eisert, Peter; Lapuschkin, Sebastian; Bosse, Sebastian
Publié dans: 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 2023, ISSN 0000-0000
Éditeur: 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

Auteurs: Georgios Bouchagiar, Vasileios Mygdalis, Ioannis Pitas
Publié dans: European Public Law, Numéro 29, 2023, ISSN 0000-0000
Éditeur: Kluwer Law
DOI: 10.54648/euro2023020

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

Auteurs: Dmitriy Shutin; Thomas Wiedemann; Patrick Hinsen
Publié dans: IEEE Open Journal of Signal Processing, Numéro 5, 2023, ISSN 0000-0000
Éditeur: IEEE
DOI: 10.1109/OJSP.2023.3344076

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

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

Conference proceedings (14)

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

Auteurs: Roberto Marino, Lorenzo Carnevale and Massimo Villari
Publié dans: ISCC 2023, 2023, ISSN 0000-0000
Éditeur: IEEE
DOI: 10.1109/ISCC58397.2023.10218022

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

Auteurs: David Hanny, Bernd Resch
Publié dans: AGILE: GIScience Series, Numéro 5, 2024, ISSN 0000-0000
Éditeur: 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

Auteurs: David Hanny, Sebastian Schmidt, Bernd Resch
Publié dans: Intelligent Systems Conference, 2024, ISSN 0000-0000
Éditeur: n/a

XAI-based Comparison of Input Representations for Audio Event Classification

Auteurs: Frommholz, Annika; Seipel, Fabian; Lapuschkin, Sebastian; Samek, Wojciech; Vielhaben, Johanna
Publié dans: ACM Digital Library, 2023, ISSN 0000-0000
Éditeur: ACM
DOI: 10.48550/arxiv.2304.14019

Make Federated Learning a Standard in Robotics by Using ROS2

Auteurs: Roberto Marino, Lorenzo Carnevale, Maria Fazio, and Massimo Villari
Publié dans: BDCAT 2023, 2023, ISSN 0000-0000
Éditeur: ACM
DOI: 10.1145/3632366.3632373

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

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

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

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

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

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

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

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

Data Operational Driven AI-based Architecture for Natural Disaster Management

Auteurs: Serena Sebbio, Lorenzo Carnevale, Daniel Balouek, Antonino Galletta, Manish Parashar, Massimo Villari
Publié dans: CCGrid Workshop 2024, 2024, ISSN 0000-0000
Éditeur: CCGrid

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

Auteurs: Serena Sebbio, Gabriele Morabito, Alessio Catalfamo, Lorenzo Carnevale, and Maria Fazio
Publié dans: UCC 2023, 2023, ISSN 0000-0000
Éditeur: ACM
DOI: 10.1145/3603166.3632545

Distributed Superresolution Gas Source Localization Based on Poisson Equation

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

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

Auteurs: Mario Colosi, Marco Garofalo, Lorenzo Carnevale, Roberto Marino, Maria Fazio, and Massimo Villari
Publié dans: BDCAT 2023, 2023, ISSN 0000-0000
Éditeur: ACM
DOI: 10.1145/3632366.3632372

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

Auteurs: Lorenzo Carnevale, Antonio Filograna, Francesco Arigliano, Roberto Marino, Armando Ruggeri, and Maria Fazio
Publié dans: BDCAT 2023, 2023
Éditeur: ACM
DOI: 10.1145/3632366.3632371

Other (5)

A Fresh Look at Sanity Checks for Saliency Maps

Auteurs: Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina Höhne
Publié dans: 2024, ISSN 0000-0000
Éditeur: n/a
DOI: 10.5281/zenodo.11546698

DualView: Data Attribution from the Dual Perspective

Auteurs: Galip Ümit Yolcu, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Publié dans: n/a, 2024, ISSN 0000-0000
Éditeur: n/a
DOI: 10.48550/arXiv.2402.12118

Explaining Predictive Uncertainty by Exposing Second-Order Effects

Auteurs: Bley, Florian; Lapuschkin, Sebastian; Samek, Wojciech; Montavon, Grégoire
Publié dans: n/a, 2024, ISSN 0000-0000
Éditeur: n/a
DOI: 10.48550/arxiv.2401.17441

Layer-wise Feedback Propagation

Auteurs: Weber, Leander; Berend, Jim; Binder, Alexander; Wiegand, Thomas; Samek, Wojciech; Lapuschkin, Sebastian
Publié dans: n/a, 2023, ISSN 0000-0000
Éditeur: n/a
DOI: 10.48550/arxiv.2308.12053

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

Auteurs: Lorenzo Carnevale, Mark Adrian Gambito, Roberto Marino, Davide Saraniti, Alessio Catalfamo, Massimo Villari
Publié dans: Flower AI Summit 2024, 2024, ISSN 0000-0000
Éditeur: n/a