Trusted Extremely Precise Mapping and Prediction for Emergency Management

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

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

Autori: David Hanny, Bernd Resch
Pubblicato in: Information, Numero 15, 2024, ISSN 0000-0000
Editore: MDPI
DOI: 10.3390/info15040200

Explainable AI for time series via Virtual Inspection Layers

Autori: Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek
Pubblicato in: Pattern Recognition, Numero 150, 2025, ISSN 0031-3203
Editore: Elsevier BV
DOI: 10.1016/J.PATCOG.2024.110309

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

Autori: Anestis Kaimakamidis, Ioannis Pitas
Pubblicato in: Pattern Recognition Letters, Numero 197, 2025, ISSN 0167-8655
Editore: 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

Autori: Pahde, Frederik; Wiegand, Thomas; Lapuschkin, Sebastian; Samek, Wojciech
Pubblicato in: Machine Learning, 2025, ISSN 1573-0565
Editore: Springer Nature
DOI: 10.24406/PUBLICA-5290

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

Autori: Monika Friedemann, Martin Mühlbauer, Fabian Henkel, Tabea Wilke, Torsten Riedlinger
Pubblicato in: Abstracts of the ICA, Numero 9, 2025, ISSN 2570-2106
Editore: Copernicus GmbH
DOI: 10.5194/ICA-ABS-9-14-2025

Generative Representation Learning in Recurrent Neural Networks for Causal Timeseries Forecasting

Autori: Georgios Chatziparaskevas, Ioannis Mademlis, Ioannis Pitas
Pubblicato in: IEEE Transactions on Artificial Intelligence, Numero 5, 2024, ISSN 2691-4581
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TAI.2024.3446465

Improving multilabel text emotion detection with emotion interrelation anchors

Autori: Polydoros Giannouris, Vasileios Mygdalis, Ioannis Pitas
Pubblicato in: Natural Language Processing Journal, Numero 12, 2025, ISSN 2949-7191
Editore: Elsevier BV
DOI: 10.1016/J.NLP.2025.100170

Improved Satellite-Based Emergency Mapping through Automated Triggering of Processes

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

Unsupervised Multimodal Graph-based Model for Geo-social Analysis

Autori: Ehsaneddin Jalilian, Bernd Resch
Pubblicato in: Applied Intelligence, 2025, ISSN 2331-8422
Editore: 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

Autori: Christina Zorenböhmer, Shaily Gandhi, Sebastian Schmidt, Bernd Resch
Pubblicato in: ISPRS International Journal of Geo-Information, Numero 14, 2025, ISSN 2220-9964
Editore: MDPI AG
DOI: 10.3390/IJGI14080301

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

Autori: Hedström, Anna; Bommer, Philine; Wickstrøm, Kristoffer K.; Samek, Wojciech; Lapuschkin, Sebastian; Höhne, Marina M. -C.
Pubblicato in: Transactions on Machine Learning Research, 2023, ISSN 0000-0000
Editore: 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

Autori: Helen Ngonidzashe Serere, Bernd Resch
Pubblicato in: Geomatica, ISSN 1925-4296
Editore: Elsevier
DOI: 10.1016/J.GEOMAT.2024.100004

Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers

Autori: Vielhaben, Johanna; Bareeva, Dilyara; Berend, Jim; Samek, Wojciech; Strodthoff, Nils
Pubblicato in: arXiv, 2024, ISSN 2331-8422
Editore: arXiv.org
DOI: 10.48550/ARXIV.2412.06639

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

Autori: David Hanny, Bernd Resch
Pubblicato in: AGILE: GIScience Series, Numero 5, 2024, ISSN 2700-8150
Editore: 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

Autori: Chuang-Wei Liu, Yikang Zhang, Qijun Chen, Ioannis Pitas, Rui Fan
Pubblicato in: IEEE Transactions on Image Processing, Numero 34, 2025, ISSN 1057-7149
Editore: 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

Autori: Eike Blomeier, Sebastian Schmidt, Bernd Resch
Pubblicato in: Information, Numero 15, 2024, ISSN 0000-0000
Editore: 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

Autori: David Hanny, Sebastian Schmidt, Bernd Resch
Pubblicato in: Journal of Computational Social Science, Numero 9, 2025, ISSN 2432-2717
Editore: 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

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

Explainable Ai for Time Series Via Virtual Inspection Layers

Autori: Johanna Vielhaben; Sebastian Lapuschkin; Grégoire Montavon; Wojciech Samek
Pubblicato in: arXiv, 2023, ISSN 0000-0000
Editore: Science Direct
DOI: 10.1016/j.patcog.2024.110309

Explaining predictive uncertainty by exposing second-order effects

Autori: Florian Bley; Sebastian Lapuschkin; Wojciech Samek; Grégoire Montavon
Pubblicato in: Pattern Recognition, 2024, ISSN 2640-3498
Editore: arXiv
DOI: 10.48550/ARXIV.2401.17441

Human-Centered Evaluation of XAI Methods

Autori: Dawoud, Karam; Samek, Wojciech; Eisert, Peter; Lapuschkin, Sebastian; Bosse, Sebastian
Pubblicato in: 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 2023, ISSN 0000-0000
Editore: 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

Autori: Georgios Bouchagiar, Vasileios Mygdalis, Ioannis Pitas
Pubblicato in: European Public Law, Numero 29, 2023, ISSN 0000-0000
Editore: Kluwer Law
DOI: 10.54648/euro2023020

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

Autori: Christopher J. Anders, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
Pubblicato in: PLOS One, Numero 21, 2026, ISSN 1932-6203
Editore: 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

Autori: Prieto Ruiz, Victor Scott; Shutin, Dmitriy; Wiedemann, Thomas; Hinsen, Patrick
Pubblicato in: 2024 32nd European Signal Processing Conference (EUSIPCO), 2024, ISSN 2153-7003
Editore: 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

Autori: Sébastien Dujardin, Dorian Arifi, Sebastian Schmidt, Catherine Linard, Bernd Resch
Pubblicato in: Natural Hazards and Earth System Sciences, Numero 25, 2025, ISSN 1684-9981
Editore: 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

Autori: Carolin Gilga, Christoph Hochwarter, Luisa Knoche, Sebastian Schmidt, Gudrun Ringler, Marc Wieland, Bernd Resch, Ben Wagner
Pubblicato in: International Journal of Disaster Risk Reduction, Numero 122, 2025, ISSN 2212-4209
Editore: Elsevier BV
DOI: 10.1016/J.IJDRR.2025.105441

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

Autori: Bareeva, Dilyara; Yolcu, Galip Ümit; Hedström, Anna; Schmolenski, Niklas; Wiegand, Thomas; Samek, Wojciech; Lapuschkin, Sebastian
Pubblicato in: arXiv, 2024, ISSN 2835-8856
Editore: arXiv
DOI: 10.48550/ARXIV.2410.07158

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

Autori: Helen Ngonidzashe Serere, Bernd Resch
Pubblicato in: Geomatica, Numero 77, 2025, ISSN 1195-1036
Editore: Elsevier BV
DOI: 10.1016/J.GEOMAT.2025.100055

Promoting learning in the rescue department

Autori: Filip Sever
Pubblicato in: European Journal for Research on the Education and Learning of Adults, 2025, ISSN 2000-7426
Editore: 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

Autori: Marc Wieland, Sebastian Schmidt, Bernd Resch, Andreas Abecker, Sandro Martinis
Pubblicato in: Natural Hazards, Numero 121, 2025, ISSN 0921-030X
Editore: 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

Autori: Nikola Vračević, Sebastian Schmidt, Merve Keskin, David Hanny, Bernd Resch
Pubblicato in: Social Network Analysis and Mining, Numero 15, 2025, ISSN 1869-5469
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S13278-025-01494-Z

CoSy: Evaluating Textual Explanations of Neurons

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

Towards human society-inspired decentralized DNN inference

Autori: Dimitrios Papaioannou, Vasileios Mygdalis, Ioannis Pitas
Pubblicato in: Signal Processing: Image Communication, Numero 136, 2025, ISSN 0923-5965
Editore: Elsevier BV
DOI: 10.1016/J.IMAGE.2025.117306

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

Autori: Sebastian Schmidt, Eleonor Díaz Fragachan, Dorian Arifi, David Hanny, Bernd Resch
Pubblicato in: Spatial Information Research, Numero 33, 2025, ISSN 2366-3286
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S41324-025-00609-0

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

Autori: Leander Weber, Jim Berend, Moritz Weckbecker, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Pubblicato in: Transactions on Machine Learning Research, 2025, ISSN 2835-8856
Editore: 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

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

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

Autori: Sebastian Schmidt, Monika Friedemann, David Hanny, Bernd Resch, Torsten Riedlinger, Martin Mühlbauer
Pubblicato in: Big Earth Data, Numero 9, 2025, ISSN 2096-4471
Editore: Informa UK Limited
DOI: 10.1080/20964471.2025.2454526

CCBIR: A concept-based system for geospatial image retrieval

Autori: Evgenios Vlachos, Ioannis Pitas
Pubblicato in: Information Sciences, Numero 728, 2025, ISSN 0020-0255
Editore: 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

Autori: David Hanny, Bernd Resch
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation, Numero 139, 2025, ISSN 1569-8432
Editore: Elsevier BV
DOI: 10.1016/J.JAG.2025.104540

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

Autori: Dmitriy Shutin; Thomas Wiedemann; Patrick Hinsen
Pubblicato in: IEEE Open Journal of Signal Processing, Numero 5, 2023, ISSN 0000-0000
Editore: IEEE
DOI: 10.1109/OJSP.2023.3344076

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

Autori: Kamel Aouaidjia, Chongsheng Zhang, Ioannis Pitas
Pubblicato in: Information Sciences, Numero 700, 2025, ISSN 0020-0255
Editore: 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

Autori: David Hanny, Sebastian Schmidt, Shaily Gandhi, Michael Granitzer, Bernd Resch
Pubblicato in: Big Earth Data, 2025, ISSN 2096-4471
Editore: Informa UK Limited
DOI: 10.1080/20964471.2025.2572140

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

Autori: Filip Sever
Pubblicato in: International Journal of Management, Knowledge and Learning, Numero 14, 2025, ISSN 2232-5697
Editore: 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

Autori: Roberto Marino, Lorenzo Carnevale and Massimo Villari
Pubblicato in: ISCC 2023, 2023, ISSN 0000-0000
Editore: IEEE
DOI: 10.1109/ISCC58397.2023.10218022

Soft ROI Pooling Distillation for Detection Transformers

Autori: Nikolaos Marios Militsis, Vasileios Mygdalis, Ioannis Pitas
Pubblicato in: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2024
Editore: 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"""

Autori: """Efstathios Kassios, Paraskevi Petsioti, Vasileios Mygdalis, Francesco Mureddu, Alessandro Paciaroni, Mpampis Chatzimallis, Georgios Sakkas"""
Pubblicato in: SafeHeraklion 2025, 2025
Editore: SafeGreece

Sparse Bayesian Learning for Decentralized 2D Smoke Source Localization

Autori: Shutin, Dmitriy and Prieto Ruiz, Victor Scott and Hinsen, Patrick
Pubblicato in: 2025 IEEE International Conference on Image Processing (ICIP 2025), 2025
Editore: IEEE

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

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

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

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

Improved satellite-based emergency mapping through automated triggering of processes

Autori: Martin Mühlbauer, Monika Friedemann, Johanna Roll, Torsten Riedlinger, Fabian Henkel, Lucas Angermann, Mathias Böck, Tobias Kaminski and Kayla Barginda
Pubblicato in: Proceedings of the 21st International ISCRAM Conference, Numero 21, ISSN 0000-0000
Editore: ISCRAM
DOI: 10.59297/DJ7AA754

The Role of Participation In A Rescue Department Community Of Practice

Autori: Filip Sever
Pubblicato in: EdMedia + Innovate Learning, 2025
Editore: ISCRAM Association

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

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

Toward Scalable Damage Assessment for Rapid Disaster Response

Autori: Marc Wieland, Victor Hertel, Christian Geiss, Sandro Martinis, Konstanze Lechner
Pubblicato in: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
Editore: IEEE
DOI: 10.1109/IGARSS53475.2024.10641134

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

Autori: Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 38, 2024, ISSN 2374-3468
Editore: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V38I19.30096

XAI-based Comparison of Input Representations for Audio Event Classification

Autori: Frommholz, Annika; Seipel, Fabian; Lapuschkin, Sebastian; Samek, Wojciech; Vielhaben, Johanna
Pubblicato in: ACM Digital Library, 2023, ISSN 0000-0000
Editore: ACM
DOI: 10.48550/arxiv.2304.14019

Professional Development and the Role of Technology in the Rescue Department

Autori: Filip Sever
Pubblicato in: EDEN Annual Conference, 2024, ISSN 2707-2819
Editore: Universitat Politècnica de València

FADE: Why Bad Descriptions Happen to Good Features

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

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

Autori: Pantelis Mentesidis, Vasileios Mygdalis, Ioannis Pitas
Pubblicato in: 2025 IEEE International Conference on Image Processing (ICIP), 2025
Editore: IEEE
DOI: 10.1109/ICIP55913.2025.11084431

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

Autori: Michael Siavrakas, Christos Papaioannidis, Ioannis Pitas
Pubblicato in: 2025 IEEE International Conference on Image Processing (ICIP), 2025
Editore: IEEE
DOI: 10.1109/ICIP55913.2025.11084700

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

Autori: Filip Sever
Pubblicato in: SafeHeraklion, ISSN 2654-1823
Editore: SafeGreece

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

Autori: Pieruigi Dell’Acqua, Maria Fazio, Lorenzo Carnevale, Massimo Villari
Pubblicato in: 2024 IEEE Symposium on Computers and Communications (ISCC), 2024
Editore: IEEE
DOI: 10.1109/ISCC61673.2024.10733629

Make Federated Learning a Standard in Robotics by Using ROS2

Autori: Roberto Marino, Lorenzo Carnevale, Maria Fazio, and Massimo Villari
Pubblicato in: BDCAT 2023, 2023, ISSN 0000-0000
Editore: ACM
DOI: 10.1145/3632366.3632373

Divide-and-Summarize: Enhancing Deep Neural Video Summarization

Autori: Evangelos Charalampakis, Christos Papaioannidis, Ioannis Pitas
Pubblicato in: 2025 IEEE International Conference on Image Processing (ICIP), 2025
Editore: IEEE
DOI: 10.1109/ICIP55913.2025.11084326

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

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

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

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

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

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

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

Autori: Nolde, Michael and Rösch, Moritz and Wilke, Tabea and Faúndez Pinilla, Jorge Ignacio and Aguirre, Paula and Riedlinger, Torsten and Taubenböck, Hannes
Pubblicato in: 2025 ESA Living Planet Symposium, 2025-06-23 - 2025-06-27, Vienna, Austria, 2025
Editore: ESA

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

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

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

Autori: Carolin Gilga and Christoph Hochwarter and Luisa Knoche and Sebastian Schmidt and Gudrun Ringler and Marc Wieland and Bernd Resch and Ben Wagner
Pubblicato in: International Journal of Disaster Risk Reduction, 2025, ISSN 2212-4209
Editore: DLR

Real-Time Flood Water Segmentation with Deep Neural Networks

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

FOREST FIRE IMAGE CLASSIFICATION THROUGH DECENTRALIZED DNN INFERENCE

Autori: Dimitrios Papaioannou, Vasileios Mygdalis, Ioannis Pitas
Pubblicato in: Big Visual Data Analytics Workshop (ICIP 2024) (BVDA), Abu Dhabi, UAE., ISSN 0000-0000
Editore: IEEE
DOI: 10.5281/ZENODO.12070190

Orchestration of Containerized Applications in the Cloud Continuum

Autori: Di Modica, Giuseppe and Galletta, Antonino and Carnevale, Lorenzo and Alkhansa, Ahmad and Costantini, Alessandro and Cesini, Daniele and Bellavista, Paolo and Villari, Massimo
Pubblicato in: 2023
Editore: ΙΕΕΕ
DOI: 10.1109/PERCOMWORKSHOPS56833.2023.10150375

Data Operational Driven AI-based Architecture for Natural Disaster Management

Autori: Serena Sebbio, Lorenzo Carnevale, Daniel Balouek, Antonino Galletta, Manish Parashar, Massimo Villari
Pubblicato in: CCGrid Workshop 2024, 2024, ISSN 0000-0000
Editore: CCGrid

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

Autori: David Hanny, Sebastian Schmidt, Shaily Gandhi, Bernd Resch
Pubblicato in: CARMA 2025, 2025
Editore: Editorial Universitat Politècnica de València
DOI: 10.5281/ZENODO.18234131

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

Autori: Shutin, Dmitriy and Prieto Ruiz, Victor Scott and Hinsen, Patrick and Wiedemann, Thomas
Pubblicato in: 2025 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2025
Editore: IEEE

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

Autori: Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben
Pubblicato in: 20th International Conference on Content-based Multimedia Indexing, 2023
Editore: ACM
DOI: 10.1145/3617233.3617265

Flooded house detection for natural disaster managment

Autori: Aristidis Pavlidis, Christos Papaioannidis, Ioannis Pitas
Pubblicato in: 2024 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2024
Editore: 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

Autori: Victor Scott Prieto Ruiz, Dmitriy Shutin, Thomas Wiedemann, Patrick Hinsen
Pubblicato in: Proceedings of the European Conference on Signal Processing (EUSIPCO)
Editore: EUSIPCO

Hierarchical Federated Learning for Natural Disaster Management

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

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

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

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

Autori: Serena Sebbio, Gabriele Morabito, Alessio Catalfamo, Lorenzo Carnevale, and Maria Fazio
Pubblicato in: UCC 2023, 2023, ISSN 0000-0000
Editore: ACM
DOI: 10.1145/3603166.3632545

Forest Fire Segmentation Metrics and Algorithms

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

Comparison of Visual Place Recognition Methods for UAV Imagery

Autori: Michael Siavrakas, Eugene Vlachos, Ioannis Pitas
Pubblicato in: 2025 25th International Conference on Digital Signal Processing (DSP), 2025
Editore: IEEE
DOI: 10.1109/DSP65409.2025.11075213

TEMA: Event Driven Serverless Workflows Platform for Natural Disaster Management

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

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

Autori: Avgoustidis, Fotis and Bassia, Paraskevi and Pitas, Ioannis
Pubblicato in: 33rd European Signal Processing Conference (EUSIPCO 2025), 2025
Editore: Eusipco 2025
DOI: 10.5281/ZENODO.15267847

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

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

Distributed Superresolution Gas Source Localization Based on Poisson Equation

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

Gas Source Localization Using Physics-Guided Neural Networks

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

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

Autori: Dmitriy Shutin, Victor Scott Prieto Ruiz, Thomas Wiedemann, Patrick Hinsen, Armin Dammann
Pubblicato in: 2024 IEEE Workshop on Signal Processing Systems (SiPS), 2024
Editore: IEEE
DOI: 10.1109/SIPS62058.2024.00022

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

Autori: E. Vlachos, C. Papaioannidis, and I. Pitas
Pubblicato in: 33rd European Signal Processing Conference (EUSIPCO 2025), 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.15479971

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

Autori: Lorenzo Carnevale, Antonio Filograna, Francesco Arigliano, Roberto Marino, Armando Ruggeri, and Maria Fazio
Pubblicato in: BDCAT 2023, 2023
Editore: ACM
DOI: 10.1145/3632366.3632371

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

Autori: Tobias Labarta, Nhi Hoang, Katharina Weitz, Wojciech Samek, Sebastian Lapuschkin, Leander Weber
Pubblicato in: IJCAI 2025 Workshop on Explainable Artificial Intelligence (XAI), 2025
Editore: arXiv
DOI: 10.48550/ARXIV.2506.14775

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

Autori: Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin
Pubblicato in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024
Editore: IEEE
DOI: 10.1109/CVPRW63382.2024.00353

Leveraging Collective Knowledge for Forest Fire Classification

Autori: Anestis Kaimakamidis, Ioannis Pitas
Pubblicato in: 2024 IEEE Symposium on Computers and Communications (ISCC), 2025
Editore: IEEE
DOI: 10.1109/ISCC61673.2024.10733691

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

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

A Fresh Look at Sanity Checks for Saliency Maps

Autori: Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina Höhne
Pubblicato in: 2024, ISSN 0000-0000
Editore: n/a
DOI: 10.5281/zenodo.11546698

DualView: Data Attribution from the Dual Perspective

Autori: Galip Ümit Yolcu, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Pubblicato in: n/a, 2024, ISSN 0000-0000
Editore: n/a
DOI: 10.48550/arXiv.2402.12118

Explaining Predictive Uncertainty by Exposing Second-Order Effects

Autori: Bley, Florian; Lapuschkin, Sebastian; Samek, Wojciech; Montavon, Grégoire
Pubblicato in: n/a, 2024, ISSN 0000-0000
Editore: n/a
DOI: 10.48550/arxiv.2401.17441

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

Autori: Lorenzo Carnevale, Mark Adrian Gambito, Roberto Marino, Davide Saraniti, Alessio Catalfamo, Massimo Villari
Pubblicato in: Flower AI Summit 2024, 2024, ISSN 0000-0000
Editore: n/a

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

Autori: Eren Erogullari, Sebastian Lapuschkin, Wojciech Samek, Frederik Pahde
Pubblicato in: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2025
Editore: 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

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

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

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

A Fresh Look at Sanity Checks for Saliency Maps

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

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