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CORDIS - Resultados de investigaciones de la UE
CORDIS

Trusted Extremely Precise Mapping and Prediction for Emergency Management

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

Report on TEMA platform design, data models and architecture (se abrirá en una nueva ventana)

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

Report on TEMA requirements (se abrirá en una nueva ventana)

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

Report on phenomenon prediction and information fusion (se abrirá en una nueva ventana)

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

Report on algorithms for precise Digital Twin construction (se abrirá en una nueva ventana)

Document reporting preliminary research results of Task T5.1

First report on algorithms for extreme data analytics (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

Clustering-Based Joint Topic-Sentiment Modeling of Social Media Data: A Neural Networks Approach (se abrirá en una nueva ventana)

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

Explainable AI for time series via Virtual Inspection Layers (se abrirá en una nueva ventana)

Autores: Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek
Publicado en: Pattern Recognition, Edición 150, 2025, ISSN 0031-3203
Editor: Elsevier BV
DOI: 10.1016/J.PATCOG.2024.110309

FCL-ViT: Task-aware attention tuning for Continual Learning (se abrirá en una nueva ventana)

Autores: Anestis Kaimakamidis, Ioannis Pitas
Publicado en: Pattern Recognition Letters, Edición 197, 2025, ISSN 0167-8655
Editor: Elsevier BV
DOI: 10.1016/J.PATREC.2025.08.003

Ensuring medical AI safety: interpretability-driven detection and mitigation of spurious model behavior and associated data (se abrirá en una nueva ventana)

Autores: Pahde, Frederik; Wiegand, Thomas; Lapuschkin, Sebastian; Samek, Wojciech
Publicado en: Machine Learning, 2025, ISSN 1573-0565
Editor: Springer Nature
DOI: 10.24406/PUBLICA-5290

Supporting Situational Awareness for an Improved Triggering of Satellite-Based Emergency Mapping (se abrirá en una nueva ventana)

Autores: Monika Friedemann, Martin Mühlbauer, Fabian Henkel, Tabea Wilke, Torsten Riedlinger
Publicado en: Abstracts of the ICA, Edición 9, 2025, ISSN 2570-2106
Editor: Copernicus GmbH
DOI: 10.5194/ICA-ABS-9-14-2025

Generative Representation Learning in Recurrent Neural Networks for Causal Timeseries Forecasting (se abrirá en una nueva ventana)

Autores: Georgios Chatziparaskevas, Ioannis Mademlis, Ioannis Pitas
Publicado en: IEEE Transactions on Artificial Intelligence, Edición 5, 2024, ISSN 2691-4581
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TAI.2024.3446465

Improving multilabel text emotion detection with emotion interrelation anchors (se abrirá en una nueva ventana)

Autores: Polydoros Giannouris, Vasileios Mygdalis, Ioannis Pitas
Publicado en: Natural Language Processing Journal, Edición 12, 2025, ISSN 2949-7191
Editor: Elsevier BV
DOI: 10.1016/J.NLP.2025.100170

Improved Satellite-Based Emergency Mapping through Automated Triggering of Processes (se abrirá en una nueva ventana)

Autores: Mühlbauer, Martin; Friedemann, Monika; Roll, Johanna; Riedlinger, Torsten; Henkel, Fabian; Angermann, Lucas Dominik; Böck, Mathias; Kaminski, Tobias; Barginda, Kayla
Publicado en: Proceedings of the International ISCRAM Conference, 2024, ISSN 2411-3387
Editor: ISCRAM Association
DOI: 10.59297/DJ7AA754

Unsupervised Multimodal Graph-based Model for Geo-social Analysis (se abrirá en una nueva ventana)

Autores: Ehsaneddin Jalilian, Bernd Resch
Publicado en: Applied Intelligence, 2025, ISSN 2331-8422
Editor: Springer
DOI: 10.48550/ARXIV.2512.03063

An Aspect-Based Emotion Analysis Approach on Wildfire-Related Geo-Social Media Data—A Case Study of the 2020 California Wildfires (se abrirá en una nueva ventana)

Autores: Christina Zorenböhmer, Shaily Gandhi, Sebastian Schmidt, Bernd Resch
Publicado en: ISPRS International Journal of Geo-Information, Edición 14, 2025, ISSN 2220-9964
Editor: MDPI AG
DOI: 10.3390/IJGI14080301

The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus (se abrirá en una nueva ventana)

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

Understanding the Impact of Geotagging on Location Inference Models 1 for Accurate Generalization to Non-Geotagged Datasets (se abrirá en una nueva ventana)

Autores: Helen Ngonidzashe Serere, Bernd Resch
Publicado en: Geomatica, ISSN 1925-4296
Editor: Elsevier
DOI: 10.1016/J.GEOMAT.2024.100004

Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers (se abrirá en una nueva ventana)

Autores: Vielhaben, Johanna; Bareeva, Dilyara; Berend, Jim; Samek, Wojciech; Strodthoff, Nils
Publicado en: arXiv, 2024, ISSN 2331-8422
Editor: arXiv.org
DOI: 10.48550/ARXIV.2412.06639

Multimodal Geo-Information Extraction from Social Media for Supporting Decision-Making in Disaster Management (se abrirá en una nueva ventana)

Autores: David Hanny, Bernd Resch
Publicado en: AGILE: GIScience Series, Edición 5, 2024, ISSN 2700-8150
Editor: Copernicus GmbH
DOI: 10.5194/AGILE-GISS-5-28-2024

These Maps Are Made by Propagation: Adapting Deep Stereo Networks to Road Scenarios With Decisive Disparity Diffusion (se abrirá en una nueva ventana)

Autores: Chuang-Wei Liu, Yikang Zhang, Qijun Chen, Ioannis Pitas, Rui Fan
Publicado en: IEEE Transactions on Image Processing, Edición 34, 2025, ISSN 1057-7149
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TIP.2025.3540283

Drowning in the Information Flood: Machine-Learning-Based Relevance Classification of Flood-Related Tweets for Disaster Management (se abrirá en una nueva ventana)

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

Bluesky as a social media data source for disaster management: investigating spatio-temporal, semantic and emotional patterns for floods and wildfires (se abrirá en una nueva ventana)

Autores: David Hanny, Sebastian Schmidt, Bernd Resch
Publicado en: Journal of Computational Social Science, Edición 9, 2025, ISSN 2432-2717
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S42001-025-00448-X

AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark (se abrirá en una nueva ventana)

Autores: Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, Wojciech Samek
Publicado en: Journal of the Franklin Institute, 2024, ISSN 0016-0032
Editor: Elsevier
DOI: 10.1016/J.JFRANKLIN.2023.11.038

Explainable Ai for Time Series Via Virtual Inspection Layers (se abrirá en una nueva ventana)

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

Explaining predictive uncertainty by exposing second-order effects (se abrirá en una nueva ventana)

Autores: Florian Bley; Sebastian Lapuschkin; Wojciech Samek; Grégoire Montavon
Publicado en: Pattern Recognition, 2024, ISSN 2640-3498
Editor: arXiv
DOI: 10.48550/ARXIV.2401.17441

Human-Centered Evaluation of XAI Methods (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

Software for dataset-wide XAI: From local explanations to global insights with Zennit, CoRelAy, and ViRelAy (se abrirá en una nueva ventana)

Autores: Christopher J. Anders, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
Publicado en: PLOS One, Edición 21, 2026, ISSN 1932-6203
Editor: Public Library of Science (PLoS)
DOI: 10.1371/JOURNAL.PONE.0336683

Physics-Guided Neural Networks for Distributed Sparse Gas Source Localization Using Poisson's Equation and Green's Function Method (se abrirá en una nueva ventana)

Autores: Prieto Ruiz, Victor Scott; Shutin, Dmitriy; Wiedemann, Thomas; Hinsen, Patrick
Publicado en: 2024 32nd European Signal Processing Conference (EUSIPCO), 2024, ISSN 2153-7003
Editor: ΙΕΕΕ
DOI: 10.23919/EUSIPCO63174.2024.10715286

Tracing online flood conversations across borders: a watershed-level analysis of geo-social media topics during the 2021 European flood (se abrirá en una nueva ventana)

Autores: Sébastien Dujardin, Dorian Arifi, Sebastian Schmidt, Catherine Linard, Bernd Resch
Publicado en: Natural Hazards and Earth System Sciences, Edición 25, 2025, ISSN 1684-9981
Editor: Copernicus GmbH
DOI: 10.5194/NHESS-25-2351-2025

Legal and ethical considerations for demand-driven data collection and AI-based analysis in flood response (se abrirá en una nueva ventana)

Autores: Carolin Gilga, Christoph Hochwarter, Luisa Knoche, Sebastian Schmidt, Gudrun Ringler, Marc Wieland, Bernd Resch, Ben Wagner
Publicado en: International Journal of Disaster Risk Reduction, Edición 122, 2025, ISSN 2212-4209
Editor: Elsevier BV
DOI: 10.1016/J.IJDRR.2025.105441

Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond (se abrirá en una nueva ventana)

Autores: Bareeva, Dilyara; Yolcu, Galip Ümit; Hedström, Anna; Schmolenski, Niklas; Wiegand, Thomas; Samek, Wojciech; Lapuschkin, Sebastian
Publicado en: arXiv, 2024, ISSN 2835-8856
Editor: arXiv
DOI: 10.48550/ARXIV.2410.07158

Dynamic Named Entity Recognition model to distinguish authors’ positions relative to mentioned locations (se abrirá en una nueva ventana)

Autores: Helen Ngonidzashe Serere, Bernd Resch
Publicado en: Geomatica, Edición 77, 2025, ISSN 1195-1036
Editor: Elsevier BV
DOI: 10.1016/J.GEOMAT.2025.100055

Promoting learning in the rescue department (se abrirá en una nueva ventana)

Autores: Filip Sever
Publicado en: European Journal for Research on the Education and Learning of Adults, 2025, ISSN 2000-7426
Editor: RELA
DOI: 10.3384/RELA.2000-7426.5297

Fusion of geospatial information from remote sensing and social media to prioritise rapid response actions in case of floods (se abrirá en una nueva ventana)

Autores: Marc Wieland, Sebastian Schmidt, Bernd Resch, Andreas Abecker, Sandro Martinis
Publicado en: Natural Hazards, Edición 121, 2025, ISSN 0921-030X
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S11069-025-07120-7

More than just Tweets: the potential of alternative geo-social media data for disaster management (se abrirá en una nueva ventana)

Autores: Nikola Vračević, Sebastian Schmidt, Merve Keskin, David Hanny, Bernd Resch
Publicado en: Social Network Analysis and Mining, Edición 15, 2025, ISSN 1869-5469
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S13278-025-01494-Z

CoSy: Evaluating Textual Explanations of Neurons (se abrirá en una nueva ventana)

Autores: Kopf, Laura; Bommer, Philine Lou; Hedström, Anna; Lapuschkin, Sebastian; Höhne, Marina M. -C.; Bykov, Kirill
Publicado en: Advances in Neural Information Processing Systems 37, 2024, ISSN 2331-8422
Editor: arXiv
DOI: 10.48550/ARXIV.2405.20331

Towards human society-inspired decentralized DNN inference (se abrirá en una nueva ventana)

Autores: Dimitrios Papaioannou, Vasileios Mygdalis, Ioannis Pitas
Publicado en: Signal Processing: Image Communication, Edición 136, 2025, ISSN 0923-5965
Editor: Elsevier BV
DOI: 10.1016/J.IMAGE.2025.117306

Assessing the spatial accuracy of geocoding flood-related imagery using Vision Language Models (se abrirá en una nueva ventana)

Autores: Sebastian Schmidt, Eleonor Díaz Fragachan, Dorian Arifi, David Hanny, Bernd Resch
Publicado en: Spatial Information Research, Edición 33, 2025, ISSN 2366-3286
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S41324-025-00609-0

Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation (se abrirá en una nueva ventana)

Autores: Leander Weber, Jim Berend, Moritz Weckbecker, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Publicado en: Transactions on Machine Learning Research, 2025, ISSN 2835-8856
Editor: Journal of Machine Learning Research Inc.
DOI: 10.48550/ARXIV.2308.12053

Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression (se abrirá en una nueva ventana)

Autores: Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute; Bareeva, Dilyara; Dreyer, Maximilian; Pahde, Frederik; Wojciech, Samek; Lapuschkin, Sebastian
Publicado en: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024, ISSN 2835-8856
Editor: arXiv
DOI: 10.48550/ARXIV.2404.09601

Enhancing satellite-based emergency mapping: Identifying wildfires through geo-social media analysis (se abrirá en una nueva ventana)

Autores: Sebastian Schmidt, Monika Friedemann, David Hanny, Bernd Resch, Torsten Riedlinger, Martin Mühlbauer
Publicado en: Big Earth Data, Edición 9, 2025, ISSN 2096-4471
Editor: Informa UK Limited
DOI: 10.1080/20964471.2025.2454526

CCBIR: A concept-based system for geospatial image retrieval (se abrirá en una nueva ventana)

Autores: Evgenios Vlachos, Ioannis Pitas
Publicado en: Information Sciences, Edición 728, 2025, ISSN 0020-0255
Editor: Elsevier BV
DOI: 10.1016/J.INS.2025.122814

Multimodal GeoAI: An integrated spatio-temporal topic-sentiment model for the analysis of geo-social media posts for disaster management (se abrirá en una nueva ventana)

Autores: David Hanny, Bernd Resch
Publicado en: International Journal of Applied Earth Observation and Geoinformation, Edición 139, 2025, ISSN 1569-8432
Editor: Elsevier BV
DOI: 10.1016/J.JAG.2025.104540

Detection and Estimation of Gas Sources With Arbitrary Locations Based on Poisson's Equation (se abrirá en una nueva ventana)

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

Spatio-temporal invariant descriptors for skeleton-based human action recognition (se abrirá en una nueva ventana)

Autores: Kamel Aouaidjia, Chongsheng Zhang, Ioannis Pitas
Publicado en: Information Sciences, Edición 700, 2025, ISSN 0020-0255
Editor: Elsevier BV
DOI: 10.1016/J.INS.2024.121832

A multimodal GeoAI approach to combining text with spatiotemporal features for enhanced relevance classification of social media posts in disaster response (se abrirá en una nueva ventana)

Autores: David Hanny, Sebastian Schmidt, Shaily Gandhi, Michael Granitzer, Bernd Resch
Publicado en: Big Earth Data, 2025, ISSN 2096-4471
Editor: Informa UK Limited
DOI: 10.1080/20964471.2025.2572140

Exploring The Role of Engagement in Learning Within a Rescue Department Community of Practice (se abrirá en una nueva ventana)

Autores: Filip Sever
Publicado en: International Journal of Management, Knowledge and Learning, Edición 14, 2025, ISSN 2232-5697
Editor: International School for Social and Business Studies
DOI: 10.53615/2232-5697.14.207-219

When Robotics Meets Distributed Learning: the Federated Learning Robotic Network Framework (se abrirá en una nueva ventana)

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

Soft ROI Pooling Distillation for Detection Transformers (se abrirá en una nueva ventana)

Autores: Nikolaos Marios Militsis, Vasileios Mygdalis, Ioannis Pitas
Publicado en: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2024
Editor: IEEE
DOI: 10.1109/ICASSPW62465.2024.10625826

"""Report on Current Technological Tools for Natural Disaster Management: Enhancing Civil Protection with Big Data Analytics and AI - A Comparative Analysis with the TΕΜΑ Platform"""

Autores: """Efstathios Kassios, Paraskevi Petsioti, Vasileios Mygdalis, Francesco Mureddu, Alessandro Paciaroni, Mpampis Chatzimallis, Georgios Sakkas"""
Publicado en: SafeHeraklion 2025, 2025
Editor: SafeGreece

Sparse Bayesian Learning for Decentralized 2D Smoke Source Localization

Autores: Shutin, Dmitriy and Prieto Ruiz, Victor Scott and Hinsen, Patrick
Publicado en: 2025 IEEE International Conference on Image Processing (ICIP 2025), 2025
Editor: IEEE

Data-Driven Operational Artificial Intelligence for Computing Continuum: A Natural Disaster Management Use Case (se abrirá en una nueva ventana)

Autores: Serena Sebbio, Lorenzo Carnevale, Daniel Balouek, Manish Parashar and Massimo Villari
Publicado en: Proceedings of the IEEE 25th International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), 2025
Editor: IEEE
DOI: 10.1109/CCGRIDW65158.2025.00022

Private Distributed Resource Management Data: Predicting CPU Utilization with Bi-LSTM and Federated Learning (se abrirá en una nueva ventana)

Autores: Lorenzo Carnevale, Daniel Balouek, Serena Sebbio, Manish Parashar, Massimo Villari
Publicado en: 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2025
Editor: IEEE
DOI: 10.1109/CCGRID64434.2025.00048

Improved satellite-based emergency mapping through automated triggering of processes (se abrirá en una nueva ventana)

Autores: Martin Mühlbauer, Monika Friedemann, Johanna Roll, Torsten Riedlinger, Fabian Henkel, Lucas Angermann, Mathias Böck, Tobias Kaminski and Kayla Barginda
Publicado en: Proceedings of the 21st International ISCRAM Conference, Edición 21, ISSN 0000-0000
Editor: ISCRAM
DOI: 10.59297/DJ7AA754

The Role of Participation In A Rescue Department Community Of Practice

Autores: Filip Sever
Publicado en: EdMedia + Innovate Learning, 2025
Editor: ISCRAM Association

Multi-UAV Planning in Search and Rescue Missions using Optimal Search Effort Allocation (se abrirá en una nueva ventana)

Autores: Antonio Sojo, Alejandro Perea, Marco Castell, Juan Perrela, Ivan Maza, Alvaro Caballero, Anibal Ollero
Publicado en: 2025 International Conference on Unmanned Aircraft Systems (ICUAS), 2025
Editor: IEEE
DOI: 10.1109/ICUAS65942.2025.11007932

Toward Scalable Damage Assessment for Rapid Disaster Response (se abrirá en una nueva ventana)

Autores: Marc Wieland, Victor Hertel, Christian Geiss, Sandro Martinis, Konstanze Lechner
Publicado en: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
Editor: IEEE
DOI: 10.1109/IGARSS53475.2024.10641134

From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space (se abrirá en una nueva ventana)

Autores: Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 38, 2024, ISSN 2374-3468
Editor: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V38I19.30096

XAI-based Comparison of Input Representations for Audio Event Classification (se abrirá en una nueva ventana)

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

Professional Development and the Role of Technology in the Rescue Department

Autores: Filip Sever
Publicado en: EDEN Annual Conference, 2024, ISSN 2707-2819
Editor: Universitat Politècnica de València

FADE: Why Bad Descriptions Happen to Good Features (se abrirá en una nueva ventana)

Autores: Bruno Puri, Aakriti Jain, Elena Golimblevskaia, Patrick Kahardipraja, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Publicado en: Findings of the Association for Computational Linguistics: ACL 2025, 2025
Editor: Association for Computational Linguistics
DOI: 10.18653/V1/2025.FINDINGS-ACL.881

Improve Real-Time Flood Segmentation by Encoding and Distilling Foreground Information (se abrirá en una nueva ventana)

Autores: Pantelis Mentesidis, Vasileios Mygdalis, Ioannis Pitas
Publicado en: 2025 IEEE International Conference on Image Processing (ICIP), 2025
Editor: IEEE
DOI: 10.1109/ICIP55913.2025.11084431

Blaze: A Dataset For Wildfire And Burnt Area UAV Image Classification And Segmentation (se abrirá en una nueva ventana)

Autores: Michael Siavrakas, Christos Papaioannidis, Ioannis Pitas
Publicado en: 2025 IEEE International Conference on Image Processing (ICIP), 2025
Editor: IEEE
DOI: 10.1109/ICIP55913.2025.11084700

Empowering Civil Protection: Bridging the Gap Between New Tools and Daily Operations

Autores: Filip Sever
Publicado en: SafeHeraklion, ISSN 2654-1823
Editor: SafeGreece

Knowledge Distillation and Federated Learning for Data-Driven Monitoring of Electrical Vehicle Li-Battery (se abrirá en una nueva ventana)

Autores: Pieruigi Dell’Acqua, Maria Fazio, Lorenzo Carnevale, Massimo Villari
Publicado en: 2024 IEEE Symposium on Computers and Communications (ISCC), 2024
Editor: IEEE
DOI: 10.1109/ISCC61673.2024.10733629

Make Federated Learning a Standard in Robotics by Using ROS2 (se abrirá en una nueva ventana)

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

Divide-and-Summarize: Enhancing Deep Neural Video Summarization (se abrirá en una nueva ventana)

Autores: Evangelos Charalampakis, Christos Papaioannidis, Ioannis Pitas
Publicado en: 2025 IEEE International Conference on Image Processing (ICIP), 2025
Editor: IEEE
DOI: 10.1109/ICIP55913.2025.11084326

PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

Burnt Area Monitoring Using Graph Convolutional Networks Based On Multi-Sensor Satellite Data

Autores: Nolde, Michael and Rösch, Moritz and Wilke, Tabea and Faúndez Pinilla, Jorge Ignacio and Aguirre, Paula and Riedlinger, Torsten and Taubenböck, Hannes
Publicado en: 2025 ESA Living Planet Symposium, 2025-06-23 - 2025-06-27, Vienna, Austria, 2025
Editor: ESA

Evaluating Deep Neural Network-based Fire Detection for Natural Disaster Management (se abrirá en una nueva ventana)

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

From alerts to action: Streamlining rapid emergency mapping with automated workflows

Autores: Carolin Gilga and Christoph Hochwarter and Luisa Knoche and Sebastian Schmidt and Gudrun Ringler and Marc Wieland and Bernd Resch and Ben Wagner
Publicado en: International Journal of Disaster Risk Reduction, 2025, ISSN 2212-4209
Editor: DLR

Real-Time Flood Water Segmentation with Deep Neural Networks (se abrirá en una nueva ventana)

Autores: Gerontopoulos, Anastasios and Papaioannou, Dimitrios and Papaioannidis, Christos and Pitas, Ioannis
Publicado en: 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), 2025
Editor: IEEE
DOI: 10.1109/CCGRIDW65158.2025.00021

FOREST FIRE IMAGE CLASSIFICATION THROUGH DECENTRALIZED DNN INFERENCE (se abrirá en una nueva ventana)

Autores: Dimitrios Papaioannou, Vasileios Mygdalis, Ioannis Pitas
Publicado en: Big Visual Data Analytics Workshop (ICIP 2024) (BVDA), Abu Dhabi, UAE., ISSN 0000-0000
Editor: IEEE
DOI: 10.5281/ZENODO.12070190

Orchestration of Containerized Applications in the Cloud Continuum (se abrirá en una nueva ventana)

Autores: Di Modica, Giuseppe and Galletta, Antonino and Carnevale, Lorenzo and Alkhansa, Ahmad and Costantini, Alessandro and Cesini, Daniele and Bellavista, Paolo and Villari, Massimo
Publicado en: 2023
Editor: ΙΕΕΕ
DOI: 10.1109/PERCOMWORKSHOPS56833.2023.10150375

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

Few-Shot Learning for Relevance Classification of Textual Social Media Posts in Disaster Response (se abrirá en una nueva ventana)

Autores: David Hanny, Sebastian Schmidt, Shaily Gandhi, Bernd Resch
Publicado en: CARMA 2025, 2025
Editor: Editorial Universitat Politècnica de València
DOI: 10.5281/ZENODO.18234131

Multi-Agent Adaptive Super-resolution Sparse Source Localization for Advection-Diffusion Processes

Autores: Shutin, Dmitriy and Prieto Ruiz, Victor Scott and Hinsen, Patrick and Wiedemann, Thomas
Publicado en: 2025 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2025
Editor: IEEE

XAI-based Comparison of Audio Event Classifiers with different Input Representations (se abrirá en una nueva ventana)

Autores: Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben
Publicado en: 20th International Conference on Content-based Multimedia Indexing, 2023
Editor: ACM
DOI: 10.1145/3617233.3617265

Flooded house detection for natural disaster managment (se abrirá en una nueva ventana)

Autores: Aristidis Pavlidis, Christos Papaioannidis, Ioannis Pitas
Publicado en: 2024 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2024
Editor: IEEE
DOI: 10.1109/ICT-DM62768.2024.10798563

Physics-Guided Neural Networks for Distributed Sparse Gas Source Localization Using Poisson’s Equation and Green’s Function Method

Autores: Victor Scott Prieto Ruiz, Dmitriy Shutin, Thomas Wiedemann, Patrick Hinsen
Publicado en: Proceedings of the European Conference on Signal Processing (EUSIPCO)
Editor: EUSIPCO

Hierarchical Federated Learning for Natural Disaster Management (se abrirá en una nueva ventana)

Autores: Mark Adrian Gambito, Lorenzo Carnevale, Mohammad Reza Jabbarpour, Bahman Javadi, Massimo Villari
Publicado en: 2024 IEEE/ACM 17th International Conference on Utility and Cloud Computing (UCC), 2025
Editor: IEEE
DOI: 10.1109/UCC63386.2024.00047

Predictive Resource Management in the Computing Continuum: Transfer Learning from Virtual Machines to Containers using Transformers (se abrirá en una nueva ventana)

Autores: Danny De Novi, Lorenzo Carnevale, Daniel Balouek, Manish Parashar, Massimo Villari
Publicado en: Proceedings of the 18th IEEE/ACM International Conference on Utility and Cloud Computing, 2025
Editor: ACM
DOI: 10.1145/3773274.3774856

Federated Learning on Raspberry Pi 4: A Comprehensive Power Consumption Analysis (se abrirá en una nueva ventana)

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

Forest Fire Segmentation Metrics and Algorithms (se abrirá en una nueva ventana)

Autores: P. A. Dinopoulos, C. Papaioannidis, M. Tzimas, I. Pitas
Publicado en: 2024 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2024
Editor: IEEE
DOI: 10.1109/ICT-DM62768.2024.10798951

Comparison of Visual Place Recognition Methods for UAV Imagery (se abrirá en una nueva ventana)

Autores: Michael Siavrakas, Eugene Vlachos, Ioannis Pitas
Publicado en: 2025 25th International Conference on Digital Signal Processing (DSP), 2025
Editor: IEEE
DOI: 10.1109/DSP65409.2025.11075213

TEMA: Event Driven Serverless Workflows Platform for Natural Disaster Management (se abrirá en una nueva ventana)

Autores: Sicari, Christian; Catalfamo, Alessio; Carnevale, Lorenzo; Galletta, Antonino; Balouek-Thomert, Daniel; Parashar, Manish; Villari, Massimo
Publicado en: 2023 IEEE Symposium on Computers and Communications (ISCC), 2023
Editor: IEEE
DOI: 10.1109/ISCC58397.2023.10217920

Trustworthy Majority Voting for Labeling and Analyzing Multi-Annotator Text Sentiment Datasets (se abrirá en una nueva ventana)

Autores: Avgoustidis, Fotis and Bassia, Paraskevi and Pitas, Ioannis
Publicado en: 33rd European Signal Processing Conference (EUSIPCO 2025), 2025
Editor: Eusipco 2025
DOI: 10.5281/ZENODO.15267847

Navigating neural space: Revisiting concept activation vectors to overcome directional divergence (se abrirá en una nueva ventana)

Autores: F. Pahde, M. Dreyer, M. Weckbecker, L. Weber, C. J. Anders, T. Wiegand, W. Samek, and S. Lapuschkin
Publicado en: The Thirteenth International Conference on Learning Representations (ICLR 2025), 2025
Editor: ICLR 2025
DOI: 10.48550/ARXIV.2202.03482

Distributed Superresolution Gas Source Localization Based on Poisson Equation (se abrirá en una nueva ventana)

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

Gas Source Localization Using Physics-Guided Neural Networks (se abrirá en una nueva ventana)

Autores: Prieto Ruiz, Victor Scott; Hinsen, Patrick; Wiedemann, Thomas; Christof, Constantin; Shutin, Dmitriy
Publicado en: 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), 2024
Editor: IEEE
DOI: 10.48550/ARXIV.2405.04151

Cramer-Rao Lower Bound for a Gas Source Localization Based on Poisson's Equation (se abrirá en una nueva ventana)

Autores: Dmitriy Shutin, Victor Scott Prieto Ruiz, Thomas Wiedemann, Patrick Hinsen, Armin Dammann
Publicado en: 2024 IEEE Workshop on Signal Processing Systems (SiPS), 2024
Editor: IEEE
DOI: 10.1109/SIPS62058.2024.00022

Neural Architecture Search and Knowledge Distillation for Semantic Image Segmentation on Big Wildfire Datasets (se abrirá en una nueva ventana)

Autores: E. Vlachos, C. Papaioannidis, and I. Pitas
Publicado en: 33rd European Signal Processing Conference (EUSIPCO 2025), 2025
Editor: Zenodo
DOI: 10.5281/ZENODO.15479971

Supporting the Natural Disaster Management Distributing Federated Intelligence over the Cloud-Edge Continuum: the TEMA Architecture (se abrirá en una nueva ventana)

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

See What I Mean? CUE: A Cognitive Model of Understanding Explanations (se abrirá en una nueva ventana)

Autores: Tobias Labarta, Nhi Hoang, Katharina Weitz, Wojciech Samek, Sebastian Lapuschkin, Leander Weber
Publicado en: IJCAI 2025 Workshop on Explainable Artificial Intelligence (XAI), 2025
Editor: arXiv
DOI: 10.48550/ARXIV.2506.14775

Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations (se abrirá en una nueva ventana)

Autores: Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin
Publicado en: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024
Editor: IEEE
DOI: 10.1109/CVPRW63382.2024.00353

Leveraging Collective Knowledge for Forest Fire Classification (se abrirá en una nueva ventana)

Autores: Anestis Kaimakamidis, Ioannis Pitas
Publicado en: 2024 IEEE Symposium on Computers and Communications (ISCC), 2025
Editor: IEEE
DOI: 10.1109/ISCC61673.2024.10733691

Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification (se abrirá en una nueva ventana)

Autores: Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer
Publicado en: n/a, ISSN 0000-0000
Editor: n/a
DOI: 10.48550/ARXIV.2404.10433

A Fresh Look at Sanity Checks for Saliency Maps (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

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

Post-hoc Concept Disentanglement: From Correlated to Isolated Concept Representations (se abrirá en una nueva ventana)

Autores: Eren Erogullari, Sebastian Lapuschkin, Wojciech Samek, Frederik Pahde
Publicado en: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-032-08317-3_4

Explainable Concept Mappings of MRI: Revealing the Mechanisms Underlying Deep Learning-Based Brain Disease Classification (se abrirá en una nueva ventana)

Autores: Christian Tinauer; Anna Damulina; Maximilian Sackl; Martin Soellradl; Reduan Achtibat; Maximilian Dreyer; Frederik Pahde; Sebastian Lapuschkin; Reinhold Schmidt; Stefan Ropele; Wojciech Samek; Christian Langkammer
Publicado en: Springer Nature, 2024
Editor: arXiv
DOI: 10.48550/ARXIV.2404.10433

Pruning by Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers (se abrirá en una nueva ventana)

Autores: Hatefi, Sayed Mohammad Vakilzadeh; Dreyer, Maximilian; Achtibat, Reduan; Wiegand, Thomas; Samek, Wojciech; Lapuschkin, Sebastian
Publicado en: Lecture Notes in Computer Science, Computer Vision – ECCV 2024 Workshops, 2025, ISSN 2331-8422
Editor: arXiv
DOI: 10.48550/ARXIV.2408.12568

A Fresh Look at Sanity Checks for Saliency Maps (se abrirá en una nueva ventana)

Autores: Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina Höhne
Publicado en: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63787-2_21

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