1st Workshop on Graph-Based Knowledge Extraction from Real-World Data – deadline: 23 Oct 2024


1st Workshop on Graph-Based Knowledge Extraction from Real-World Data

@

 IEEE AI x DKE


[paper submission deadline: 23 Oct 2024]

We cordially invite you to participate in the 1st Workshop on Graph-Based Knowledge Extraction from Real-World Data, to be held in conjunction with the prestigious 2024 IEEE International Conference on Artificial Intelligence for Data & Knowledge Engineering (AIDKE), scheduled for December 11-13, 2024.

This workshop aims to bring together researchers and practitioners in the field of graph-based knowledge extraction to share the latest research and advancements in this domain. We will address timely topics including:

-Modeling complex systems with graphs
-Role of graphs in biology, finance, and communication networks
-Techniques for graph construction from raw data
-Large-scale graph processing and distributed algorithms
-Foundations of graph theory and its application to Graph Neural Networks
-Theoretical underpinnings of Graph Neural Networks
-Application of Graph Neural Networks  for real-world data analysis
-Representation of real-world data through graphs
-Advances in Graph Neural Networks  architectures and training techniques
– Knowledge extraction in bioinformatics, financial systems, social networks, ecological informatics, biomedical engineering and cybersecurity
– Integration of Graph Neural Networks  with other machine learning models
– Graph Neural Network Explainability

Why attend?

Expand your knowledge: Interact with world-renowned experts and stay updated on the latest trends in the field.

Present your work: Submit your research contributions and engage with the academic community.

Forge collaborations: Establish new synergies and initiate fruitful research collaborations.

Important deadlines:

Paper submission: October 23, 2024

For further information and to submit your paper, please visit the workshop website: https://sites.google.com/icar.cnr.it/graph-based-knowledge

We look forward to your valuable contributions.

Sincerely,

CFP – 7th Workshop on Accelerated Machine Learning (AccML) at HiPEAC 2025

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7th Workshop on Accelerated Machine Learning (AccML)
Co-located with the HiPEAC 2025 Conference
January 21, 2025
Barcelona, Spain
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28 DE OCTUBRE – 8º conferencia – Ciclo de Conferencias en Plenario 2024 – Dr. Luis A. Quesada Allué

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INTELLI 2025 || March 9 – 13, 2025 – Lisbon, Portugal

 

INTELLI 2025, The Fourteenth International Conference on Intelligent Systems and Applications

March 9 – 13, 2025 – Lisbon, Portugal

 

Invitation:

Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

INTELLI 2025, The Fourteenth International Conference on Intelligent Systems and Applications

INTELLI 2025 is scheduled to be March 9 – 13, 2025 in Lisbon, Portugal under the InfoWare 2025 umbrella.

Submission (full paper) deadline: November 5, 2024

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals.

All events will be held in a hybrid mode: on site, prerecorded videos, voiced presentation slides, pdf slides.

Contribution formats:

  • regular papers [in the proceedings and digital library]
  • short papers (work in progress) [in the proceedings and digital library]
  • ideas: two pages [in the proceedings and digital library]
  • extended abstracts: two pages [in the proceedings and digital library]
  • posters: two pages [in the proceedings and digital library]
  • posters: slide only [slide-deck posted on www.iaria.org]
  • presentations: slide only [slide-deck posted on www.iaria.org]
  • demos: two pages [posted on www.iaria.org]

Extended versions of selected papers will be published in IARIA Journals.

Print proceedings will be available via Curran Associates, Inc.

Articles will be archived in the free access ThinkMind Digital Library.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions. Before submission, please check and comply with the Editorial Rules.

INTELLI 2025 Tracks

Fundamentals in intelligent systems and applications

  • Intelligence by design
  • Intelligent distributed systems
  • Context-aware intelligent systems
  • Symbolic intelligence
  • Neuromorphic systems
  • Collective intelligence
  • Ambient Intelligence
  • Cooperative intelligent applications
  • Formal ontology and semantics
  • Persuasive intelligence
  • Bio-inspired intelligence
  • Cognitive systems and applications
  • Real-time intelligence
  • Hybrid artificial intelligent systems
  • Heuristic search
  • Automated planning
  • Adaptive problem solving

Intelligent linguistic systems

  • Computational linguistics
    • Lexical resources
    • Ambiguity resolution
    • Intelligent translators
    • Intelligent Machine learning natural language processing (NLP) transformer
  • Intelligent text processing
    • Intelligent historic artifacts interpretation
    • Intelligent systems for linguistics thesaurus
    • Intelligent translators using historical vocabulary
    • Intelligent systems for semantically translating old-texts
    • The historical corpora as a language research tool

New production paradigms and concepts

  • Industry 4.0 in a global context
  • Industry 4.0 and Internet of Things (IoT) approaches
  • Smart factory and Industry 4.0
  • Manufacturing-oriented Big Data
  • Industry 4.0 Data analytics
  • Cyber-manufacturing systems
  • Life cycle sustainability of production systems
  • 3D/4D printing production-oriented
  • Cooperation and communication in manufacturing environments
  • Industrial robotics and intelligent manufacturing
  • New computing and knowledge paradigms in manufacturing environments
  • Flexible manufacturing systems

Intelligent Information processing

  • Intelligent signal processing
  • Intelligent data analysis
  • Web intelligence
  • IoT architecture for intelligent environments
  • Intelligent web search engines
  • Intelligent natural language systems and applications
  • Intelligent information extraction
  • Intelligent perception and intelligent machines
  • Intelligent agents
  • Augmented reality systems
  • Spiking neural networks and systems
  • Patterns in intelligent applications
  • Stability in intelligent systems
  • Ethical evaluation of intelligent systems

Intelligent communication networks

  • Cognitive intelligence in vehicular networks
  • Guidance systems
  • Intelligent health systems
  • Indoor special-awareness
  • Intelligent systems for software computing
  • Sensor-based intelligent systems
  • Intelligent systems for wireless applications
  • Intelligent transport systems
  • Intelligent applications for disaster management
  • Intelligence in medical decision applications
  • Intelligent forecasting applications
  • Intelligent human-computer interaction systems
  • Intelligent multimedia
  • Intelligent recommenders
  • Intelligent security systems and applications
  • Intelligent robotics
  • Intelligent embedded systems
  • RFID and BLE technologies in intelligent systems
  • Intelligent sensors and sensing applications
  • Mobility intelligence and semantic applications
  • Case studies and trials of intelligent solutions

 


Publicity Chairs:

Jose Miguel Jimenez, Universitat Politecnica de Valencia, Spain

Sandra Viciano Tudela, Universitat Politecnica de Valencia, Spain

 

IARIA Publicity Board

22 de octubre – Conferencia “Ciencia de datos para los Sistemas Inteligentes” – CETI

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