Trusted Extremely Precise Mapping and Prediction for Emergency Management

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Report on real-time federated analytics

Document reporting the research results of Task T3.4

Report on AI model adaptability to extreme data

Document reporting the research results of Task T3.5

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 phenomenon prediction and response planning

Document reporting the research results of Tasks T4.1 and T4.2

Report on TEMA requirements

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

Final report on algorithms for extreme data analytics

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

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

TEMA trials specifications

Document describing the specifications of the TEMA trials

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.

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

Publikacje

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

Autorzy: David Hanny, Bernd Resch
Opublikowane w: Information, Numer 15, 2024, ISSN 0000-0000
Wydawca: MDPI
DOI: 10.3390/info15040200

Explainable AI for time series via Virtual Inspection Layers

Autorzy: Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek
Opublikowane w: Pattern Recognition, Numer 150, 2025, ISSN 0031-3203
Wydawca: Elsevier BV
DOI: 10.1016/J.PATCOG.2024.110309

FCL-ViT: Task-aware attention tuning for Continual Learning

Autorzy: Anestis Kaimakamidis, Ioannis Pitas
Opublikowane w: Pattern Recognition Letters, Numer 197, 2025, ISSN 0167-8655
Wydawca: 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

Autorzy: Pahde, Frederik; Wiegand, Thomas; Lapuschkin, Sebastian; Samek, Wojciech
Opublikowane w: Machine Learning, 2025, ISSN 1573-0565
Wydawca: Springer Nature
DOI: 10.24406/PUBLICA-5290

Supporting Situational Awareness for an Improved Triggering of Satellite-Based Emergency Mapping

Autorzy: Monika Friedemann, Martin Mühlbauer, Fabian Henkel, Tabea Wilke, Torsten Riedlinger
Opublikowane w: Abstracts of the ICA, Numer 9, 2025, ISSN 2570-2106
Wydawca: Copernicus GmbH
DOI: 10.5194/ICA-ABS-9-14-2025

Generative Representation Learning in Recurrent Neural Networks for Causal Timeseries Forecasting

Autorzy: Georgios Chatziparaskevas, Ioannis Mademlis, Ioannis Pitas
Opublikowane w: IEEE Transactions on Artificial Intelligence, Numer 5, 2024, ISSN 2691-4581
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TAI.2024.3446465

Improving multilabel text emotion detection with emotion interrelation anchors

Autorzy: Polydoros Giannouris, Vasileios Mygdalis, Ioannis Pitas
Opublikowane w: Natural Language Processing Journal, Numer 12, 2025, ISSN 2949-7191
Wydawca: Elsevier BV
DOI: 10.1016/J.NLP.2025.100170

Improved Satellite-Based Emergency Mapping through Automated Triggering of Processes

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

Unsupervised Multimodal Graph-based Model for Geo-social Analysis

Autorzy: Ehsaneddin Jalilian, Bernd Resch
Opublikowane w: Applied Intelligence, 2025, ISSN 2331-8422
Wydawca: 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

Autorzy: Christina Zorenböhmer, Shaily Gandhi, Sebastian Schmidt, Bernd Resch
Opublikowane w: ISPRS International Journal of Geo-Information, Numer 14, 2025, ISSN 2220-9964
Wydawca: MDPI AG
DOI: 10.3390/IJGI14080301

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

Autorzy: Hedström, Anna; Bommer, Philine; Wickstrøm, Kristoffer K.; Samek, Wojciech; Lapuschkin, Sebastian; Höhne, Marina M. -C.
Opublikowane w: Transactions on Machine Learning Research, 2023, ISSN 0000-0000
Wydawca: 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

Autorzy: Helen Ngonidzashe Serere, Bernd Resch
Opublikowane w: Geomatica, ISSN 1925-4296
Wydawca: Elsevier
DOI: 10.1016/J.GEOMAT.2024.100004

Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers

Autorzy: Vielhaben, Johanna; Bareeva, Dilyara; Berend, Jim; Samek, Wojciech; Strodthoff, Nils
Opublikowane w: arXiv, 2024, ISSN 2331-8422
Wydawca: arXiv.org
DOI: 10.48550/ARXIV.2412.06639

Multimodal Geo-Information Extraction from Social Media for Supporting Decision-Making in Disaster Management

Autorzy: David Hanny, Bernd Resch
Opublikowane w: AGILE: GIScience Series, Numer 5, 2024, ISSN 2700-8150
Wydawca: 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

Autorzy: Chuang-Wei Liu, Yikang Zhang, Qijun Chen, Ioannis Pitas, Rui Fan
Opublikowane w: IEEE Transactions on Image Processing, Numer 34, 2025, ISSN 1057-7149
Wydawca: 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

Autorzy: Eike Blomeier, Sebastian Schmidt, Bernd Resch
Opublikowane w: Information, Numer 15, 2024, ISSN 0000-0000
Wydawca: 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

Autorzy: David Hanny, Sebastian Schmidt, Bernd Resch
Opublikowane w: Journal of Computational Social Science, Numer 9, 2025, ISSN 2432-2717
Wydawca: 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

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

Explainable Ai for Time Series Via Virtual Inspection Layers

Autorzy: Johanna Vielhaben; Sebastian Lapuschkin; Grégoire Montavon; Wojciech Samek
Opublikowane w: arXiv, 2023, ISSN 0000-0000
Wydawca: Science Direct
DOI: 10.1016/j.patcog.2024.110309

Explaining predictive uncertainty by exposing second-order effects

Autorzy: Florian Bley; Sebastian Lapuschkin; Wojciech Samek; Grégoire Montavon
Opublikowane w: Pattern Recognition, 2024, ISSN 2640-3498
Wydawca: arXiv
DOI: 10.48550/ARXIV.2401.17441

Human-Centered Evaluation of XAI Methods

Autorzy: Dawoud, Karam; Samek, Wojciech; Eisert, Peter; Lapuschkin, Sebastian; Bosse, Sebastian
Opublikowane w: 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 2023, ISSN 0000-0000
Wydawca: 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

Autorzy: Georgios Bouchagiar, Vasileios Mygdalis, Ioannis Pitas
Opublikowane w: European Public Law, Numer 29, 2023, ISSN 0000-0000
Wydawca: Kluwer Law
DOI: 10.54648/euro2023020

Software for dataset-wide XAI: From local explanations to global insights with Zennit, CoRelAy, and ViRelAy

Autorzy: Christopher J. Anders, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
Opublikowane w: PLOS One, Numer 21, 2026, ISSN 1932-6203
Wydawca: 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

Autorzy: Prieto Ruiz, Victor Scott; Shutin, Dmitriy; Wiedemann, Thomas; Hinsen, Patrick
Opublikowane w: 2024 32nd European Signal Processing Conference (EUSIPCO), 2024, ISSN 2153-7003
Wydawca: 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

Autorzy: Sébastien Dujardin, Dorian Arifi, Sebastian Schmidt, Catherine Linard, Bernd Resch
Opublikowane w: Natural Hazards and Earth System Sciences, Numer 25, 2025, ISSN 1684-9981
Wydawca: 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

Autorzy: Carolin Gilga, Christoph Hochwarter, Luisa Knoche, Sebastian Schmidt, Gudrun Ringler, Marc Wieland, Bernd Resch, Ben Wagner
Opublikowane w: International Journal of Disaster Risk Reduction, Numer 122, 2025, ISSN 2212-4209
Wydawca: Elsevier BV
DOI: 10.1016/J.IJDRR.2025.105441

Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond

Autorzy: Bareeva, Dilyara; Yolcu, Galip Ümit; Hedström, Anna; Schmolenski, Niklas; Wiegand, Thomas; Samek, Wojciech; Lapuschkin, Sebastian
Opublikowane w: arXiv, 2024, ISSN 2835-8856
Wydawca: arXiv
DOI: 10.48550/ARXIV.2410.07158

Dynamic Named Entity Recognition model to distinguish authors’ positions relative to mentioned locations

Autorzy: Helen Ngonidzashe Serere, Bernd Resch
Opublikowane w: Geomatica, Numer 77, 2025, ISSN 1195-1036
Wydawca: Elsevier BV
DOI: 10.1016/J.GEOMAT.2025.100055

Promoting learning in the rescue department

Autorzy: Filip Sever
Opublikowane w: European Journal for Research on the Education and Learning of Adults, 2025, ISSN 2000-7426
Wydawca: 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

Autorzy: Marc Wieland, Sebastian Schmidt, Bernd Resch, Andreas Abecker, Sandro Martinis
Opublikowane w: Natural Hazards, Numer 121, 2025, ISSN 0921-030X
Wydawca: 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

Autorzy: Nikola Vračević, Sebastian Schmidt, Merve Keskin, David Hanny, Bernd Resch
Opublikowane w: Social Network Analysis and Mining, Numer 15, 2025, ISSN 1869-5469
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/S13278-025-01494-Z

CoSy: Evaluating Textual Explanations of Neurons

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

Towards human society-inspired decentralized DNN inference

Autorzy: Dimitrios Papaioannou, Vasileios Mygdalis, Ioannis Pitas
Opublikowane w: Signal Processing: Image Communication, Numer 136, 2025, ISSN 0923-5965
Wydawca: Elsevier BV
DOI: 10.1016/J.IMAGE.2025.117306

Assessing the spatial accuracy of geocoding flood-related imagery using Vision Language Models

Autorzy: Sebastian Schmidt, Eleonor Díaz Fragachan, Dorian Arifi, David Hanny, Bernd Resch
Opublikowane w: Spatial Information Research, Numer 33, 2025, ISSN 2366-3286
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/S41324-025-00609-0

Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation

Autorzy: Leander Weber, Jim Berend, Moritz Weckbecker, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Opublikowane w: Transactions on Machine Learning Research, 2025, ISSN 2835-8856
Wydawca: 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

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

Enhancing satellite-based emergency mapping: Identifying wildfires through geo-social media analysis

Autorzy: Sebastian Schmidt, Monika Friedemann, David Hanny, Bernd Resch, Torsten Riedlinger, Martin Mühlbauer
Opublikowane w: Big Earth Data, Numer 9, 2025, ISSN 2096-4471
Wydawca: Informa UK Limited
DOI: 10.1080/20964471.2025.2454526

CCBIR: A concept-based system for geospatial image retrieval

Autorzy: Evgenios Vlachos, Ioannis Pitas
Opublikowane w: Information Sciences, Numer 728, 2025, ISSN 0020-0255
Wydawca: 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

Autorzy: David Hanny, Bernd Resch
Opublikowane w: International Journal of Applied Earth Observation and Geoinformation, Numer 139, 2025, ISSN 1569-8432
Wydawca: Elsevier BV
DOI: 10.1016/J.JAG.2025.104540

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

Autorzy: Dmitriy Shutin; Thomas Wiedemann; Patrick Hinsen
Opublikowane w: IEEE Open Journal of Signal Processing, Numer 5, 2023, ISSN 0000-0000
Wydawca: IEEE
DOI: 10.1109/OJSP.2023.3344076

Spatio-temporal invariant descriptors for skeleton-based human action recognition

Autorzy: Kamel Aouaidjia, Chongsheng Zhang, Ioannis Pitas
Opublikowane w: Information Sciences, Numer 700, 2025, ISSN 0020-0255
Wydawca: 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

Autorzy: David Hanny, Sebastian Schmidt, Shaily Gandhi, Michael Granitzer, Bernd Resch
Opublikowane w: Big Earth Data, 2025, ISSN 2096-4471
Wydawca: Informa UK Limited
DOI: 10.1080/20964471.2025.2572140

Exploring The Role of Engagement in Learning Within a Rescue Department Community of Practice

Autorzy: Filip Sever
Opublikowane w: International Journal of Management, Knowledge and Learning, Numer 14, 2025, ISSN 2232-5697
Wydawca: 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

Autorzy: Roberto Marino, Lorenzo Carnevale and Massimo Villari
Opublikowane w: ISCC 2023, 2023, ISSN 0000-0000
Wydawca: IEEE
DOI: 10.1109/ISCC58397.2023.10218022

Soft ROI Pooling Distillation for Detection Transformers

Autorzy: Nikolaos Marios Militsis, Vasileios Mygdalis, Ioannis Pitas
Opublikowane w: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2024
Wydawca: 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"""

Autorzy: """Efstathios Kassios, Paraskevi Petsioti, Vasileios Mygdalis, Francesco Mureddu, Alessandro Paciaroni, Mpampis Chatzimallis, Georgios Sakkas"""
Opublikowane w: SafeHeraklion 2025, 2025
Wydawca: SafeGreece

Sparse Bayesian Learning for Decentralized 2D Smoke Source Localization

Autorzy: Shutin, Dmitriy and Prieto Ruiz, Victor Scott and Hinsen, Patrick
Opublikowane w: 2025 IEEE International Conference on Image Processing (ICIP 2025), 2025
Wydawca: IEEE

Data-Driven Operational Artificial Intelligence for Computing Continuum: A Natural Disaster Management Use Case

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

Private Distributed Resource Management Data: Predicting CPU Utilization with Bi-LSTM and Federated Learning

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

Improved satellite-based emergency mapping through automated triggering of processes

Autorzy: Martin Mühlbauer, Monika Friedemann, Johanna Roll, Torsten Riedlinger, Fabian Henkel, Lucas Angermann, Mathias Böck, Tobias Kaminski and Kayla Barginda
Opublikowane w: Proceedings of the 21st International ISCRAM Conference, Numer 21, ISSN 0000-0000
Wydawca: ISCRAM
DOI: 10.59297/DJ7AA754

The Role of Participation In A Rescue Department Community Of Practice

Autorzy: Filip Sever
Opublikowane w: EdMedia + Innovate Learning, 2025
Wydawca: ISCRAM Association

Multi-UAV Planning in Search and Rescue Missions using Optimal Search Effort Allocation

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

Toward Scalable Damage Assessment for Rapid Disaster Response

Autorzy: Marc Wieland, Victor Hertel, Christian Geiss, Sandro Martinis, Konstanze Lechner
Opublikowane w: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
Wydawca: IEEE
DOI: 10.1109/IGARSS53475.2024.10641134

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

Autorzy: Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin
Opublikowane w: Proceedings of the AAAI Conference on Artificial Intelligence, Numer 38, 2024, ISSN 2374-3468
Wydawca: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V38I19.30096

XAI-based Comparison of Input Representations for Audio Event Classification

Autorzy: Frommholz, Annika; Seipel, Fabian; Lapuschkin, Sebastian; Samek, Wojciech; Vielhaben, Johanna
Opublikowane w: ACM Digital Library, 2023, ISSN 0000-0000
Wydawca: ACM
DOI: 10.48550/arxiv.2304.14019

Professional Development and the Role of Technology in the Rescue Department

Autorzy: Filip Sever
Opublikowane w: EDEN Annual Conference, 2024, ISSN 2707-2819
Wydawca: Universitat Politècnica de València

FADE: Why Bad Descriptions Happen to Good Features

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

Improve Real-Time Flood Segmentation by Encoding and Distilling Foreground Information

Autorzy: Pantelis Mentesidis, Vasileios Mygdalis, Ioannis Pitas
Opublikowane w: 2025 IEEE International Conference on Image Processing (ICIP), 2025
Wydawca: IEEE
DOI: 10.1109/ICIP55913.2025.11084431

Blaze: A Dataset For Wildfire And Burnt Area UAV Image Classification And Segmentation

Autorzy: Michael Siavrakas, Christos Papaioannidis, Ioannis Pitas
Opublikowane w: 2025 IEEE International Conference on Image Processing (ICIP), 2025
Wydawca: IEEE
DOI: 10.1109/ICIP55913.2025.11084700

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

Autorzy: Filip Sever
Opublikowane w: SafeHeraklion, ISSN 2654-1823
Wydawca: SafeGreece

Knowledge Distillation and Federated Learning for Data-Driven Monitoring of Electrical Vehicle Li-Battery

Autorzy: Pieruigi Dell’Acqua, Maria Fazio, Lorenzo Carnevale, Massimo Villari
Opublikowane w: 2024 IEEE Symposium on Computers and Communications (ISCC), 2024
Wydawca: IEEE
DOI: 10.1109/ISCC61673.2024.10733629

Make Federated Learning a Standard in Robotics by Using ROS2

Autorzy: Roberto Marino, Lorenzo Carnevale, Maria Fazio, and Massimo Villari
Opublikowane w: BDCAT 2023, 2023, ISSN 0000-0000
Wydawca: ACM
DOI: 10.1145/3632366.3632373

Divide-and-Summarize: Enhancing Deep Neural Video Summarization

Autorzy: Evangelos Charalampakis, Christos Papaioannidis, Ioannis Pitas
Opublikowane w: 2025 IEEE International Conference on Image Processing (ICIP), 2025
Wydawca: IEEE
DOI: 10.1109/ICIP55913.2025.11084326

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

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

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

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

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

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

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

Autorzy: Nolde, Michael and Rösch, Moritz and Wilke, Tabea and Faúndez Pinilla, Jorge Ignacio and Aguirre, Paula and Riedlinger, Torsten and Taubenböck, Hannes
Opublikowane w: 2025 ESA Living Planet Symposium, 2025-06-23 - 2025-06-27, Vienna, Austria, 2025
Wydawca: ESA

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

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

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

Autorzy: Carolin Gilga and Christoph Hochwarter and Luisa Knoche and Sebastian Schmidt and Gudrun Ringler and Marc Wieland and Bernd Resch and Ben Wagner
Opublikowane w: International Journal of Disaster Risk Reduction, 2025, ISSN 2212-4209
Wydawca: DLR

Real-Time Flood Water Segmentation with Deep Neural Networks

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

FOREST FIRE IMAGE CLASSIFICATION THROUGH DECENTRALIZED DNN INFERENCE

Autorzy: Dimitrios Papaioannou, Vasileios Mygdalis, Ioannis Pitas
Opublikowane w: Big Visual Data Analytics Workshop (ICIP 2024) (BVDA), Abu Dhabi, UAE., ISSN 0000-0000
Wydawca: IEEE
DOI: 10.5281/ZENODO.12070190

Orchestration of Containerized Applications in the Cloud Continuum

Autorzy: Di Modica, Giuseppe and Galletta, Antonino and Carnevale, Lorenzo and Alkhansa, Ahmad and Costantini, Alessandro and Cesini, Daniele and Bellavista, Paolo and Villari, Massimo
Opublikowane w: 2023
Wydawca: ΙΕΕΕ
DOI: 10.1109/PERCOMWORKSHOPS56833.2023.10150375

Data Operational Driven AI-based Architecture for Natural Disaster Management

Autorzy: Serena Sebbio, Lorenzo Carnevale, Daniel Balouek, Antonino Galletta, Manish Parashar, Massimo Villari
Opublikowane w: CCGrid Workshop 2024, 2024, ISSN 0000-0000
Wydawca: CCGrid

Few-Shot Learning for Relevance Classification of Textual Social Media Posts in Disaster Response

Autorzy: David Hanny, Sebastian Schmidt, Shaily Gandhi, Bernd Resch
Opublikowane w: CARMA 2025, 2025
Wydawca: Editorial Universitat Politècnica de València
DOI: 10.5281/ZENODO.18234131

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

Autorzy: Shutin, Dmitriy and Prieto Ruiz, Victor Scott and Hinsen, Patrick and Wiedemann, Thomas
Opublikowane w: 2025 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2025
Wydawca: IEEE

XAI-based Comparison of Audio Event Classifiers with different Input Representations

Autorzy: Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben
Opublikowane w: 20th International Conference on Content-based Multimedia Indexing, 2023
Wydawca: ACM
DOI: 10.1145/3617233.3617265

Flooded house detection for natural disaster managment

Autorzy: Aristidis Pavlidis, Christos Papaioannidis, Ioannis Pitas
Opublikowane w: 2024 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2024
Wydawca: 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

Autorzy: Victor Scott Prieto Ruiz, Dmitriy Shutin, Thomas Wiedemann, Patrick Hinsen
Opublikowane w: Proceedings of the European Conference on Signal Processing (EUSIPCO)
Wydawca: EUSIPCO

Hierarchical Federated Learning for Natural Disaster Management

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

Predictive Resource Management in the Computing Continuum: Transfer Learning from Virtual Machines to Containers using Transformers

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

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

Autorzy: Serena Sebbio, Gabriele Morabito, Alessio Catalfamo, Lorenzo Carnevale, and Maria Fazio
Opublikowane w: UCC 2023, 2023, ISSN 0000-0000
Wydawca: ACM
DOI: 10.1145/3603166.3632545

Forest Fire Segmentation Metrics and Algorithms

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

Comparison of Visual Place Recognition Methods for UAV Imagery

Autorzy: Michael Siavrakas, Eugene Vlachos, Ioannis Pitas
Opublikowane w: 2025 25th International Conference on Digital Signal Processing (DSP), 2025
Wydawca: IEEE
DOI: 10.1109/DSP65409.2025.11075213

TEMA: Event Driven Serverless Workflows Platform for Natural Disaster Management

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

Trustworthy Majority Voting for Labeling and Analyzing Multi-Annotator Text Sentiment Datasets

Autorzy: Avgoustidis, Fotis and Bassia, Paraskevi and Pitas, Ioannis
Opublikowane w: 33rd European Signal Processing Conference (EUSIPCO 2025), 2025
Wydawca: Eusipco 2025
DOI: 10.5281/ZENODO.15267847

Navigating neural space: Revisiting concept activation vectors to overcome directional divergence

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

Distributed Superresolution Gas Source Localization Based on Poisson Equation

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

Gas Source Localization Using Physics-Guided Neural Networks

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

Cramer-Rao Lower Bound for a Gas Source Localization Based on Poisson's Equation

Autorzy: Dmitriy Shutin, Victor Scott Prieto Ruiz, Thomas Wiedemann, Patrick Hinsen, Armin Dammann
Opublikowane w: 2024 IEEE Workshop on Signal Processing Systems (SiPS), 2024
Wydawca: IEEE
DOI: 10.1109/SIPS62058.2024.00022

Neural Architecture Search and Knowledge Distillation for Semantic Image Segmentation on Big Wildfire Datasets

Autorzy: E. Vlachos, C. Papaioannidis, and I. Pitas
Opublikowane w: 33rd European Signal Processing Conference (EUSIPCO 2025), 2025
Wydawca: Zenodo
DOI: 10.5281/ZENODO.15479971

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

Autorzy: Lorenzo Carnevale, Antonio Filograna, Francesco Arigliano, Roberto Marino, Armando Ruggeri, and Maria Fazio
Opublikowane w: BDCAT 2023, 2023
Wydawca: ACM
DOI: 10.1145/3632366.3632371

See What I Mean? CUE: A Cognitive Model of Understanding Explanations

Autorzy: Tobias Labarta, Nhi Hoang, Katharina Weitz, Wojciech Samek, Sebastian Lapuschkin, Leander Weber
Opublikowane w: IJCAI 2025 Workshop on Explainable Artificial Intelligence (XAI), 2025
Wydawca: arXiv
DOI: 10.48550/ARXIV.2506.14775

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

Autorzy: Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin
Opublikowane w: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024
Wydawca: IEEE
DOI: 10.1109/CVPRW63382.2024.00353

Leveraging Collective Knowledge for Forest Fire Classification

Autorzy: Anestis Kaimakamidis, Ioannis Pitas
Opublikowane w: 2024 IEEE Symposium on Computers and Communications (ISCC), 2025
Wydawca: IEEE
DOI: 10.1109/ISCC61673.2024.10733691

Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification

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

A Fresh Look at Sanity Checks for Saliency Maps

Autorzy: Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina Höhne
Opublikowane w: 2024, ISSN 0000-0000
Wydawca: n/a
DOI: 10.5281/zenodo.11546698

DualView: Data Attribution from the Dual Perspective

Autorzy: Galip Ümit Yolcu, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Opublikowane w: n/a, 2024, ISSN 0000-0000
Wydawca: n/a
DOI: 10.48550/arXiv.2402.12118

Explaining Predictive Uncertainty by Exposing Second-Order Effects

Autorzy: Bley, Florian; Lapuschkin, Sebastian; Samek, Wojciech; Montavon, Grégoire
Opublikowane w: n/a, 2024, ISSN 0000-0000
Wydawca: n/a
DOI: 10.48550/arxiv.2401.17441

SOS – emergency call – a description of the current governance of interoperability in emergency management and key recommendations to enhance its maturity

Autorzy: Alessandro Paciaroni
Opublikowane w: Boosting digital governments with interoperability
Wydawca: European Commission’s Joint Research Centre (JRC)
DOI: 10.2760/9283220

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

Autorzy: Lorenzo Carnevale, Mark Adrian Gambito, Roberto Marino, Davide Saraniti, Alessio Catalfamo, Massimo Villari
Opublikowane w: Flower AI Summit 2024, 2024, ISSN 0000-0000
Wydawca: n/a

Post-hoc Concept Disentanglement: From Correlated to Isolated Concept Representations

Autorzy: Eren Erogullari, Sebastian Lapuschkin, Wojciech Samek, Frederik Pahde
Opublikowane w: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2025
Wydawca: 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

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

Pruning by Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers

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

A Fresh Look at Sanity Checks for Saliency Maps

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

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