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CORDIS - Forschungsergebnisse der EU
CORDIS

Robust Learning and Reasoning for Complex Event Forecasting

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Ethics Manual on Trustworthy Neuro-symbolic Learning for Complex Event Forecasting (öffnet in neuem Fenster)

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) (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Plan for Dissemination and Exploitation Including Communication Activities (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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.

Veröffentlichungen

Nature Communications (öffnet in neuem Fenster)

Autoren: 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;
Veröffentlicht in: Nature Communications, Ausgabe 15, 2023, ISSN 2041-1723
Herausgeber: Nature Publishing Group
DOI: 10.1101/2023.01.19.524736,10.1038/s41467-024-45099-0

And synopses for all: A synopses data engine for extreme scale analytics-as-a-service. Information Systems (öffnet in neuem Fenster)

Autoren: Antonios Kontaxakis; Nikos Giatrakos; Dimitris Sacharidis; Antonios Deligiannakis
Veröffentlicht in: Information Systems, Ausgabe Volume 116, 2023, ISSN 0306-4379
Herausgeber: Science Direct
DOI: 10.1016/j.is.2023.102221

From Complexity to Clarity: Evaluating Explainability of Biomedical Machine Learning Models (öffnet in neuem Fenster)

Autoren: González Mallo, Marta; Valencia, Alfonso; Cirillo, Davide
Veröffentlicht in: 2024
Herausgeber: ISMB/ECCB 2023
DOI: 10.5281/zenodo.10564978

Optimizing Resource Allocation for Tumor Simulations over HPC Infrastructures (öffnet in neuem Fenster)

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

Feature Selection via Minimal Covering Sets for Industrial Internet of Things Applications (öffnet in neuem Fenster)

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

SSTRESED: Scalable Semantic Trajectory Extraction for Simple Event Detection over Streaming Movement Data (öffnet in neuem Fenster)

Autoren: Giatrakos, Nikos
Veröffentlicht in: International Symposium on Temporal Representation and Reasoning (TIME), Ausgabe 30, 2023
Herausgeber: International Symposium on Temporal Representation and Reasoning (TIME)
DOI: 10.4230/LIPIcs.TIME.2023.15

Answer Set Automata: A Learnable Pattern Specification Framework for Complex Event Recognition (öffnet in neuem Fenster)

Autoren: Katzouris, Nikos; Paliouras, Georgios;
Veröffentlicht in: Leibniz International Proceedings in Informatics (LIPIcs), Ausgabe 278, 2023
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Giatrakos, Nikos; Alevizos, Elias; Deligiannakis, Antonios; Kinkenberg, Ralf; Artikis, Alexander
Veröffentlicht in: 2023
Herausgeber: CIKM ’23
DOI: 10.1145/3583780.3615293

How to Make your Duck Fly: Advanced Floating Point Compression to the Rescue (öffnet in neuem Fenster)

Autoren: Liakos, Panagiotis; Papakonstantinopoulou, Katia; Bruineman, Thijs; Raasveldt, Mark; Kotidis, Yannis
Veröffentlicht in: 2024
Herausgeber: EDBT
DOI: 10.5281/zenodo.10815563

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