Robust Learning and Reasoning for Complex Event Forecasting

Informazioni relative al progetto

EVENFLOW

ID dell’accordo di sovvenzione: 101070430

DOI

10.3030/101070430

Progetto chiuso

Data della firma CE 20 Giugno 2022

Data di avvio 1 Ottobre 2022

Data di completamento 31 Dicembre 2025

Finanziato da

• Digital, Industry and Space

Costo totale

€ 3 431 000,00

Contributo UE

€ 3 431 000,00

Coordinato da

NETCOMPANY SA
Belgium

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)

Ethics Manual on Trustworthy Neuro-symbolic Learning for Complex Event Forecasting

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)

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

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

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

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

Plan for Dissemination and Exploitation Including Communication Activities

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

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 (1)

Data Management Plan

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.

Websites, patent fillings, videos etc. (1)

Project Presentation and Website

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.

Pubblicazioni

Conference proceedings (16)

A Novel Reverse Random Hyperplane Projection Scheme and Its Effect on Mining Sensor Streams

Autori: Antonios Skevis, George Klioumis, Nikos Giatrakos
Pubblicato in: 2024 IEEE International Conference on Big Data (BigData), 2025
Editore: IEEE
DOI: 10.1109/BIGDATA62323.2024.10825198

NeuroFlinkCEP: Neurosymbolic Complex Event Recognition Optimized across IoT Platforms

Autori: Ourania Ntouni, Dimitrios Banelas, Nikos Giatrakos
Pubblicato in: Proceedings of the VLDB Endowment, Numero 18, 2025, ISSN 2150-8097
Editore: Association for Computing Machinery (ACM)
DOI: 10.14778/3750601.3750670

Neuro-symbolic Complex Event Recognition in Autonomous Driving

Autori: Tatiana Boura, Nikos Katzouris
Pubblicato in: 2025
Editore: Creative Commons license

Optimizing Resource Allocation for Tumor Simulations over HPC Infrastructures

Autori: Streviniotis, Errikos; Giatrakos, Nikos; Kotidis, Yannis; Ntiniakou, Thaleia; Ponce de Leon, Miguel;
Pubblicato in: 2023
Editore: IEEE
DOI: 10.1109/dsaa60987.2023.10302484

An Empirical Evaluation of Explainable AI Approaches

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

Feature Selection via Minimal Covering Sets for Industrial Internet of Things Applications

Autori: Christou, Ioannis T.; Soldatos, John; Papadakis, Thanassis; Gutierrez-Rojas, Daniel; Nardelli, Pedro;
Pubblicato in: 2023
Editore: IEEE
DOI: 10.1109/dcoss-iot58021.2023.00092

SSTRESED: Scalable Semantic Trajectory Extraction for Simple Event Detection over Streaming Movement Data

Autori: Giatrakos, Nikos
Pubblicato in: International Symposium on Temporal Representation and Reasoning (TIME), Numero 30, 2023
Editore: International Symposium on Temporal Representation and Reasoning (TIME)
DOI: 10.4230/LIPIcs.TIME.2023.15

NeSyA: Neurosymbolic Automata

Autori: Manginas, Nikolaos; Paliouras, George; De Raedt, Luc
Pubblicato in: Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence, 2025
Editore: Springer Nature
DOI: 10.24963/IJCAI.2025/662

A Scalable Approach to Probabilistic Neuro-Symbolic Robustness Verification

Autori: Vasileios Manginas ~Vasileios_Manginas1 , Nikolaos Manginas, Edward Stevinson, Sherwin Varghese, Nikos Katzouris, Georgios Paliouras, Alessio Lomuscio
Editore: Open Review

SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data

Autori: Errikos Streviniotis, George Klioumis, Nikos Giatrakos
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 39, 2025, ISSN 2374-3468
Editore: 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

Autori: Katzouris, Nikos; Paliouras, Georgios;
Pubblicato in: Leibniz International Proceedings in Informatics (LIPIcs), Numero 278, 2023
Editore: 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

Autori: Giatrakos, Nikos; Alevizos, Elias; Deligiannakis, Antonios; Kinkenberg, Ralf; Artikis, Alexander
Pubblicato in: 2023
Editore: CIKM ’23
DOI: 10.1145/3583780.3615293

Expressive Losses for Verified Robustness via Convex Combinations

Autori: Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio
Pubblicato in: 2024
Editore: ICLR via OpenReview

How to Make your Duck Fly: Advanced Floating Point Compression to the Rescue

Autori: Liakos, Panagiotis; Papakonstantinopoulou, Katia; Bruineman, Thijs; Raasveldt, Mark; Kotidis, Yannis
Pubblicato in: 2024
Editore: EDBT
DOI: 10.5281/zenodo.10815563

Data-driven Synchronization Protocols for Data-parallel Neural Learning over Streaming Data

Autori: George Klioumis, Nikos Giatrakos
Pubblicato in: 2024 IEEE International Conference on Big Data (BigData), 2025
Editore: IEEE
DOI: 10.1109/BIGDATA62323.2024.10825830

Model Predictive Control Based Reference Generation for Optimal Proportional Integral Derivative Control

Autori: Fatos Gashi, Khalil Abuibaid, Martin Ruskowski, Achim Wagner
Pubblicato in: 2024 32nd Mediterranean Conference on Control and Automation (MED), 2024
Editore: IEEE
DOI: 10.1109/MED61351.2024.10566273

Peer reviewed articles (3)

Nature Communications

Autori: 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;
Pubblicato in: Nature Communications, Numero 15, 2023, ISSN 2041-1723
Editore: 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

Autori: Errikos Streviniotis, Nikos Giatrakos, Yannis Kotidis, Thaleia Ntiniakou, Miguel Ponce de Leon
Pubblicato in: Information Systems, Numero 132, 2025, ISSN 0306-4379
Editore: 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

Autori: Antonios Kontaxakis; Nikos Giatrakos; Dimitris Sacharidis; Antonios Deligiannakis
Pubblicato in: Information Systems, Numero Volume 116, 2023, ISSN 0306-4379
Editore: Science Direct
DOI: 10.1016/j.is.2023.102221

Other (2)

From Complexity to Clarity: Evaluating Explainability of Biomedical Machine Learning Models

Autori: González Mallo, Marta; Valencia, Alfonso; Cirillo, Davide
Pubblicato in: 2024
Editore: ISMB/ECCB 2023
DOI: 10.5281/zenodo.10564978

Adaptive and Scalable Multi-Mobile-Robot Simulation

Autori: Dudhagara, S., Blumhofer, B., Ruskowski, M., & Wagner, A.
Pubblicato in: 2025
Editore: ZENODO
DOI: 10.5281/ZENODO.18469379