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CORDIS - Resultados de investigaciones de la UE
CORDIS

Robust Learning and Reasoning for Complex Event Forecasting

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

Ethics Manual on Trustworthy Neuro-symbolic Learning for Complex Event Forecasting (se abrirá en una nueva ventana)

A report that will a) explain how all data intended to be used for both training and/or validating the project’s techniques and models are relevant, high quality, and limited to the purposes at hand, at both micro and macro level, b) assess whether the neuro-symbolic models and their use in the context of the use cases have any detrimental impact on humans, namely in terms of safety (applicable for all use cases) and contingently discrimination (applicable in use case 2), c) provide adequate information regarding the system's quality, following a risk-based approach and classifying the systems’ risk levels.

Architecture Design and Integrated System Specification (PU version) (se abrirá en una nueva ventana)

A report on the architecture design, software specifications for the EVENFLOW connectors and best practices towards the development of the integrated prototype.

Data handling, Requirements Analysis & Scenario Definition (se abrirá en una nueva ventana)

This deliverable will present the data handling process, the requirements analysis and the scenario definitions for the use cases.

Interim Version of Verification and Scalability Techniques (se abrirá en una nueva ventana)

First version of robustness and efficiency algorithms and tools that support EVENFLOW’s online learning and reasoning approach.

Interim Version of Online Neuro-Symbolic Learning & Reasoning Techniques (se abrirá en una nueva ventana)

First version of online neuro-symbolic learning and reasoning, explainability and data programming techniques.

Plan for Dissemination and Exploitation Including Communication Activities (se abrirá en una nueva ventana)

This deliverable will detail the plan for the project dissemination and exploitation strategy to be adopted throughout the project lifetime. Additionally, it will include a report on related projects and actions that EVENFLOW will cooperate with, in order to approach stakeholders.

Interim Use Case Evaluation (se abrirá en una nueva ventana)

This deliverable will present the results and feedback from the interim evaluation of the tools and the EVENFLOW platform in the three use cases.

Data Management Plan (se abrirá en una nueva ventana)

A report that will a) provide an overview of the datasets generated and used in the context of the project and the use cases, b) outline how data will be generated and/or collected and processed, subject to all relevant regulations, namely the GDPR, the Data Governance Act and the Proposal for the AI Regulation, c) assess, on top of the methodology and standards to be introduced, whether and how this data will be shared as FAIR and how it will be curated and preserved, in direct alignment with the ethics requirements.

Project Presentation and Website (se abrirá en una nueva ventana)

This deliverable contains a fact sheet providing an overview of the project, following the EC standards and template, the project presentation and the project website, which will be the main dissemination and exploitation channel for promoting and communicating the project and relevant activities and achievements.

Publicaciones

A Novel Reverse Random Hyperplane Projection Scheme and Its Effect on Mining Sensor Streams (se abrirá en una nueva ventana)

Autores: Antonios Skevis, George Klioumis, Nikos Giatrakos
Publicado en: 2024 IEEE International Conference on Big Data (BigData), 2025
Editor: IEEE
DOI: 10.1109/BIGDATA62323.2024.10825198

NeuroFlinkCEP: Neurosymbolic Complex Event Recognition Optimized across IoT Platforms (se abrirá en una nueva ventana)

Autores: Ourania Ntouni, Dimitrios Banelas, Nikos Giatrakos
Publicado en: Proceedings of the VLDB Endowment, Edición 18, 2025, ISSN 2150-8097
Editor: Association for Computing Machinery (ACM)
DOI: 10.14778/3750601.3750670

Neuro-symbolic Complex Event Recognition in Autonomous Driving

Autores: Tatiana Boura, Nikos Katzouris
Publicado en: 2025
Editor: Creative Commons license

Optimizing Resource Allocation for Tumor Simulations over HPC Infrastructures (se abrirá en una nueva ventana)

Autores: Streviniotis, Errikos; Giatrakos, Nikos; Kotidis, Yannis; Ntiniakou, Thaleia; Ponce de Leon, Miguel;
Publicado en: 2023
Editor: IEEE
DOI: 10.1109/dsaa60987.2023.10302484

An Empirical Evaluation of Explainable AI Approaches (se abrirá en una nueva ventana)

Autores: Ioannis T. Christou, John Soldatos, Pantelis Lappas
Publicado en: 2025 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2025
Editor: IEEE
DOI: 10.1109/DCOSS-IOT65416.2025.00159

Feature Selection via Minimal Covering Sets for Industrial Internet of Things Applications (se abrirá en una nueva ventana)

Autores: Christou, Ioannis T.; Soldatos, John; Papadakis, Thanassis; Gutierrez-Rojas, Daniel; Nardelli, Pedro;
Publicado en: 2023
Editor: IEEE
DOI: 10.1109/dcoss-iot58021.2023.00092

SSTRESED: Scalable Semantic Trajectory Extraction for Simple Event Detection over Streaming Movement Data (se abrirá en una nueva ventana)

Autores: Giatrakos, Nikos
Publicado en: International Symposium on Temporal Representation and Reasoning (TIME), Edición 30, 2023
Editor: International Symposium on Temporal Representation and Reasoning (TIME)
DOI: 10.4230/LIPIcs.TIME.2023.15

NeSyA: Neurosymbolic Automata (se abrirá en una nueva ventana)

Autores: Manginas, Nikolaos; Paliouras, George; De Raedt, Luc
Publicado en: Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence, 2025
Editor: Springer Nature
DOI: 10.24963/IJCAI.2025/662

SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data (se abrirá en una nueva ventana)

Autores: Errikos Streviniotis, George Klioumis, Nikos Giatrakos
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 39, 2025, ISSN 2374-3468
Editor: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V39I28.35371

Answer Set Automata: A Learnable Pattern Specification Framework for Complex Event Recognition (se abrirá en una nueva ventana)

Autores: Katzouris, Nikos; Paliouras, Georgios;
Publicado en: Leibniz International Proceedings in Informatics (LIPIcs), Edición 278, 2023
Editor: Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
DOI: 10.4230/LIPIcs.TIME.2023.17

Proactive Streaming Analytics at Scale: A Journey from the State-of-the-art to a Production Platform (se abrirá en una nueva ventana)

Autores: Giatrakos, Nikos; Alevizos, Elias; Deligiannakis, Antonios; Kinkenberg, Ralf; Artikis, Alexander
Publicado en: 2023
Editor: CIKM ’23
DOI: 10.1145/3583780.3615293

Expressive Losses for Verified Robustness via Convex Combinations

Autores: Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio
Publicado en: 2024
Editor: ICLR via OpenReview

How to Make your Duck Fly: Advanced Floating Point Compression to the Rescue (se abrirá en una nueva ventana)

Autores: Liakos, Panagiotis; Papakonstantinopoulou, Katia; Bruineman, Thijs; Raasveldt, Mark; Kotidis, Yannis
Publicado en: 2024
Editor: EDBT
DOI: 10.5281/zenodo.10815563

Data-driven Synchronization Protocols for Data-parallel Neural Learning over Streaming Data (se abrirá en una nueva ventana)

Autores: George Klioumis, Nikos Giatrakos
Publicado en: 2024 IEEE International Conference on Big Data (BigData), 2025
Editor: IEEE
DOI: 10.1109/BIGDATA62323.2024.10825830

Model Predictive Control Based Reference Generation for Optimal Proportional Integral Derivative Control (se abrirá en una nueva ventana)

Autores: Fatos Gashi, Khalil Abuibaid, Martin Ruskowski, Achim Wagner
Publicado en: 2024 32nd Mediterranean Conference on Control and Automation (MED), 2024
Editor: IEEE
DOI: 10.1109/MED61351.2024.10566273

Nature Communications (se abrirá en una nueva ventana)

Autores: Núñez-Carpintero, I; O’Connor, E; Rigau, M; Bosio, M; Spendiff, S; Azuma, Y; Topf, A; Thompson, R; A.C.’t Hoen, P; Chamova, T; Tournev, I; Guergueltcheva, V; Laurie, S; Beltran, S; Capella, S; Cirillo, D; Lochmüller, H; Valencia, A;
Publicado en: Nature Communications, Edición 15, 2023, ISSN 2041-1723
Editor: Nature Publishing Group
DOI: 10.1101/2023.01.19.524736,10.1038/s41467-024-45099-0

RATS: A resource allocator for optimizing the execution of tumor simulations over HPC infrastructures (se abrirá en una nueva ventana)

Autores: Errikos Streviniotis, Nikos Giatrakos, Yannis Kotidis, Thaleia Ntiniakou, Miguel Ponce de Leon
Publicado en: Information Systems, Edición 132, 2025, ISSN 0306-4379
Editor: Elsevier BV
DOI: 10.1016/J.IS.2025.102538

And synopses for all: A synopses data engine for extreme scale analytics-as-a-service. Information Systems (se abrirá en una nueva ventana)

Autores: Antonios Kontaxakis; Nikos Giatrakos; Dimitris Sacharidis; Antonios Deligiannakis
Publicado en: Information Systems, Edición Volume 116, 2023, ISSN 0306-4379
Editor: Science Direct
DOI: 10.1016/j.is.2023.102221

From Complexity to Clarity: Evaluating Explainability of Biomedical Machine Learning Models (se abrirá en una nueva ventana)

Autores: González Mallo, Marta; Valencia, Alfonso; Cirillo, Davide
Publicado en: 2024
Editor: ISMB/ECCB 2023
DOI: 10.5281/zenodo.10564978

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