EXtreme Analytics for MINing Data spaces

Informazioni relative al progetto

EXA4MIND

ID dell’accordo di sovvenzione: 101092944

DOI

10.3030/101092944

Progetto chiuso

Data della firma CE 23 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 30 Aprile 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 4 911 425,00

Contributo UE

€ 4 911 425,00

Coordinato da

VSB - TECHNICAL UNIVERSITY OF OSTRAVA
Czechia

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

Documents, reports (7)

Application Cases and Architecture Requirements
Extreme Data Flow Patterns – Report
Data and Workflow Management Toolbox Alpha Status Report
Dissemination & Communication Interim Report
Architecture of AQIS
Continuous Improvements of Architecture, and Release management Process and System
Impact Master Plan

Other (1)

Intermediate Version of the ADAMS4SIMS System

Data Management Plan (1)

Data Management Plan

Pubblicazioni

Conference proceedings (17)

terazi: AI Fairness Tool for Doubly Imbalanced Data

Autori: Asli Umay Ozturk; Yigit Sever; Ata Yalcin; Viktoria Pauw; Stephan Hachinger; Ismail Hakki Toroslu; Pinar Karagoz
Pubblicato in: Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
Editore: ACM
DOI: 10.1145/3746252.3761465

Wine in the Cloud, or: Smart Vineyards with a Distributed “Extreme Data Database” and Supercomputing

Autori: Piyush Harsh,,∗ Stephan Hachinger, Marc Derquennes, Andy Edmonds,Pinar Karagoz, Martin Golasowski, Mohamad Hayek and Jan Martinovič
Pubblicato in: ISGC&HEPiX2023, 2023
Editore: PoS
DOI: 10.22323/1.434.0021

Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach

Autori: Recep Firat Cekinel, Pinar Karagoz
Pubblicato in: 2024 IEEE International Conference on Big Data (BigData), 2025
Editore: IEEE
DOI: 10.48550/ARXIV.2402.06443

Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies

Autori: Karagöz, Pınar; Çekinel, Recep Fırat; Çöltekin, Çağrı
Pubblicato in: Proceedings of the 31st International Conference on Computational Linguistics, 2025
Editore: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2412.05155

Halton Scheduler For Masked Generative Image Transformer

Autori: Victor Besnier, Mickael Chen, David Hurych, Eduardo Valle, Matthieu Cord
Pubblicato in: International Conference on Learning Representations (ICLR), 2025
Editore: OpenReview
DOI: 10.48550/ARXIV.2503.17076

Three Pillars improving Vision Foundation Model Distillation for Lidar

Autori: Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet
Pubblicato in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Editore: IEEE/CVPR
DOI: 10.48550/ARXIV.2310.17504

Annealed Winner-Takes-All for Motion Forecasting

Autori: Xu, Yihong; Letzelter, Victor; Chen, Mickaël; Zablocki, Éloi; Cord, Matthieu
Pubblicato in: 2025 IEEE International Conference on Robotics and Automation (ICRA), 2025
Editore: IEEE
DOI: 10.48550/ARXIV.2409.11172

Database-aided Workflows on HPC for Plasma Physics Simulation

Autori: Viktoria Maike Paula Pauw, Hachinger Stephan, Jan Martinovič, Stephan Hachinger
Pubblicato in: Proceedings of International Symposium on Grids & Clouds (ISGC2025) — PoS(ISGC2025), 2025
Editore: Sissa Medialab
DOI: 10.22323/1.488.0024

Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs

Autori: Öztürk, Aslı Umay; Çekinel, Recep Fırat; Karagöz, Pınar
Pubblicato in: Proceedings of the 18th Workshop on Building and Using Comparable Corpora (BUCC), 2025
Editore: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2412.09247

Management of Physics Simulations with Databases

Autori: Viktoria Maike Paula Pauw, David Číž, Vojtěch Mlýnský, Pavel Banáš, Michal Otyepka, Stephan Hachinger, Jan Martinovič
Pubblicato in: Proceedings of International Symposium on Grids & Clouds (ISGC) 2024 — PoS(ISGC2024), 2024
Editore: Sissa Medialab
DOI: 10.22323/1.458.0031

Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?

Autori: Xu, Yihong; Chambon, Loïck; Zablocki, Éloi; Chen, Mickaël; Alahi, Alexandre; Cord, Matthieu; Pérez, Patrick
Pubblicato in: 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024
Editore: IEEE
DOI: 10.48550/ARXIV.2306.09281

POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images (pre-print version)

Autori: Antonín Vobecký, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Perez, Josef Sivic
Pubblicato in: NeurIPS 2023, 2024
Editore: NeurIPS

ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions

Autori: Tomás Soucek; Prajwal Gatti; Michael Wray; Ivan Laptev; Dima Damen; Josef Sivic
Pubblicato in: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Editore: IEEE
DOI: 10.48550/ARXIV.2412.01987

Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish

Autori: Firat Cekinel, Pinar Karagoz, Cagri Coltekin
Pubblicato in: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024
Editore: ELRA and ICCL

OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks

Autori: Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonin Vobecky, Patrick Pérez, Renaud Marlet
Pubblicato in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024
Editore: IEEE
DOI: 10.1109/CVPRW63382.2024.00452

GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos

Autori: Tomás Soucek; Dima Damen; Michael Wray; Ivan Laptev; Josef Sivic
Pubblicato in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Editore: IEEE
DOI: 10.48550/ARXIV.2312.07322

IndexAI: AI Based Index Selection for NoSQL Databases (pre-print version)

Autori: Mohammad Mahdi Khosravi, Pinar Karagoz, and Ismail Hakki Toroslu
Pubblicato in: 2023 IEEE International Conference on Big Data, 2024
Editore: IEEE
DOI: 10.1109/BigData59044.2023.10386521

Other (11)

Poster: ADAMS4SIMS - Database Curation for MD Simulations

Autori: Číž, D., Furmánek, R., Pauw, V., Martinovič, J., Otyepka, M., Banáš, P., Mlýnský, V.
Pubblicato in: HPCSE 2024, 2024
Editore: Zenodo
DOI: 10.5281/ZENODO.12704253

Poster: Integrated Database of Force-Field Parameters, Experimental Measurements, and Molecular Dynamics Simulations as a Tool for Force Field Development

Autori: Pavel Banas, Mlynsky Vojtech, David Ciz, Radek Furmanek, Nestor Pilat, Anna Spackova, Viktoria Pauw, Stephan Hachinger, Jiri Sponer, Jan Martinovic, Michal Otyepka
Pubblicato in: CECAM Workshop “RNA Modelling Across Scales” 2025, 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.19916756

Poster: A universal molecular force field format for transparent and accessible parameters for MD simulations of biomolecular systems

Autori: Banáš, P., Mlýnský, V., Číž, D., Furmánek, R., Pilát, N., Špačková, A., Pauw, V., Hachinger, S., Šponer, J., Martinovič, J., Otyepka, M.
Pubblicato in: CECAM Workshop “RNA Modelling Across Scales”, 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.19923305

Poster: Integrated Database of Force-Field Parameters, Experimental Measurements and Molecular Dynamics Simulations as a Tool for Force Field Development

Autori: Banáš, P., Mlýnský, V., Číž, D., Furmánek, R., Pilát, N., Špačková, A., Pauw, V., Hachinger, S., Šponer, J., Martinovič, J., Otyepka, M.
Pubblicato in: EuChemS CompChem 2025 “Shaping the Future of Chemistry”, 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.17174936

Poster: Optimised DBMS Deployments and DBMS Benchmarks for Extreme Data Workflows

Autori: Gurbanov, H., Brunati, R., Karagoz, P., Toroslu, I. H., Hayek, M., Golasowski, M., Hachinger, S., Martinovič, J.
Pubblicato in: HPCSE 2024, 2024
Editore: Zenodo
DOI: 10.5281/ZENODO.19923504

Poster: Tuning and tweaking of the state-of-the-art amber OL3 RNA force field

Autori: Mlýnský, V., Kührová, P., Krepl, M., Stadlbauer, P., Otyepka, M., Bussi, G., Banáš, P., Šponer, J.
Pubblicato in: EuChemS CompChem 2023, 2023
Editore: Zenodo
DOI: 10.5281/ZENODO.19923213

Poster: POP3D: Open-Vocabulary 3D Occupancy Prediction from Images

Autori: A. Vobecky, O. Siméoni, D. Hurych, S. Gidaris, A. Bursuc, P. Pérez, J. Šivic
Pubblicato in: NeurIPS 2023, 2024
Editore: Zenodo
DOI: 10.5281/ZENODO.12704479

Regularizing Self-supervised 3D Scene Flows with Surface Awareness and Cyclic Consistency

Autori: Patrik Vacek, David Hurych, Karel Zimmermann, Tomáš Svoboda
Pubblicato in: 2024
Editore: ArXiv
DOI: 10.48550/ARXIV.2312.08879

Poster: Tapping Data Spaces in HPC: Enabling, Exploring and Benchmarking Database & Object Store Usage

Autori: Mohamad Hayek, Stephan Hachinger, Huseyn Gurbanov, Viktoria Pauw, Martin Golasowski, Jan Martinovič, Pinar Karagoz, Ismail Hakki Toroslu
Pubblicato in: SCA/HPC Asia 2026, 2026
Editore: Zenodo
DOI: 10.5281/ZENODO.19912565

Poster: EXA4MIND AI Inference Service Solution

Autori: Adam Matus, Jan Martinovic, Jakub Konvicka, Tomas Martinovic, Firat Cekinel, Görkem Özer, Pinar Karagoz, Ismail Toroslu
Pubblicato in: SCA/HPC Asia 2026, 2026
Editore: Zenodo
DOI: 10.5281/ZENODO.19912708

Poster: How to Make Data Pipeline Scalable: A Case Study for Healthcare Data Analytics

Autori: Atakan Gelecek, Pinar Karagoz Ismail Hakki Toroslu, Stephan Hachinger, Jan Martinovic
Pubblicato in: SCA/HPC Asia 2026, 2026
Editore: Zenodo
DOI: 10.5281/ZENODO.19912338

Peer reviewed articles (10)

DocSpider: a dataset of cross-domain natural language querying for MongoDB

Autori: Arif Görkem Özer; Recep Firat Cekinel; Ismail Hakki Toroslu; Pinar Karagoz
Pubblicato in: Natural Language Processing, 2025, ISSN 2977-0424
Editore: Cambridge University Press
DOI: 10.1017/NLP.2024.63

Destabilization of Structured RNAs by OPC and TIP4PD Water Models

Autori: Miroslav Krepl, Vojtěch Mlýnský, Agnesa Rusnáková, Pavel Banáš, Michal Otyepka, Jiří Šponer
Pubblicato in: Journal of Chemical Theory and Computation, Numero 22, 2026, ISSN 1549-9618
Editore: American Chemical Society (ACS)
DOI: 10.1021/ACS.JCTC.5C01678

The Kink-Turn 7 Motif: An Additional Test for RNA Force Field Performance

Autori: Toon Lemmens, Vojtěch Mlýnský, Jiří Šponer, Martin Pykal, Pavel Banáš, Michal Otyepka, Miroslav Krepl
Pubblicato in: Journal of Chemical Theory and Computation, Numero 21, 2025, ISSN 1549-9618
Editore: American Chemical Society (ACS)
DOI: 10.1021/ACS.JCTC.5C00776

Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation

Autori: Antonín Vobecký; David Hurych; Oriane Siméoni; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Josef Sivic
Pubblicato in: International Journal of Computer Vision, 2025, ISSN 1573-1405
Editore: Springer Nature
DOI: 10.1007/S11263-024-02320-3

MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments

Autori: Spyros Gidaris, Andrei Bursuc, Oriane Simeoni, Antonin Vobecky, Nikos Komodakis, Matthieu Cord, Patrick Pérez
Pubblicato in: Transactions on Machine Learning Research, Numero 2, 2024, ISSN 2835-8856
Editore: JMLR
DOI: 10.48550/arXiv.2307.09361

Let It Flow: Simultaneous Optimization of 3D Flow and Object Clustering

Autori: Patrik Vacek, David Hurych, Karel Zimmermann, Tomáš Svoboda
Pubblicato in: IEEE Transactions on Intelligent Vehicles, Numero 10, 2026, ISSN 2379-8904
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TIV.2024.3443316

Simple Adjustment of Intranucleotide Base-Phosphate Interaction in the OL3 AMBER Force Field Improves RNA Simulations

Autori: Vojtěch Mlýnský, Petra Kührová, Petr Stadlbauer, Miroslav Krepl, Michal Otyepka, Pavel Banáš*, and Jiří Šponer*
Pubblicato in: (JCTC) Journal of Chemical Theory and Computation, Numero Volume 19, Numero 22, 2023, ISSN 1549-9626
Editore: ACS Publications
DOI: 10.1021/acs.jctc.3c00990

Computer Folding of Parallel <scp>DNA</scp> G‐Quadruplex: Hitchhiker's Guide to the Conformational Space

Autori: Michal Janeček, Petra Kührová, Vojtěch Mlýnský, Petr Stadlbauer, Michal Otyepka, Giovanni Bussi, Jiří Šponer, Pavel Banáš
Pubblicato in: Journal of Computational Chemistry, Numero 46, 2025, ISSN 0192-8651
Editore: Wiley
DOI: 10.1002/JCC.27535

Can We Ever Develop an Ideal RNA Force Field? Lessons Learned from Simulations of the UUCG RNA Tetraloop and Other Systems

Autori: Vojtěch Mlýnský, Petra Kührová, Martin Pykal, Miroslav Krepl, Petr Stadlbauer, Michal Otyepka, Pavel Banáš, Jiří Šponer
Pubblicato in: Journal of Chemical Theory and Computation, Numero 21, 2025, ISSN 1549-9618
Editore: American Chemical Society (ACS)
DOI: 10.1021/ACS.JCTC.4C01357

Data management for distributed computational workflows: An iRODS-based setup and its performance

Autori: Mohamad Hayek, Martin Golasowski, Stephan Hachinger, Rubén J. García-Hernández, Johannes Munke, Gabriel Lindner, Kateřina Slaninová, Philipp Tunka, Vít Vondrák, Dieter Kranzlmüller, Jan Martinovič
Pubblicato in: PLOS One, Numero 21, 2026, ISSN 1932-6203
Editore: Public Library of Science (PLoS)
DOI: 10.1371/JOURNAL.PONE.0340757