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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

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

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

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

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

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

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

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