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Showing 41-60 of 10,000 results
  1. Toward Design of Synthetic Active Inference Agents by Mere Mortals

    The theoretical properties of active inference agents are impressive, but how do we realize effective agents in working hardware and software on edge...
    Bert de Vries in Active Inference
    Conference paper 2024
  2. Relative Representations for Cognitive Graphs

    Although the latent spaces learned by distinct neural networks are not generally directly comparable, even when model architecture and training data...
    Alex B. Kiefer, Christopher L. Buckley in Active Inference
    Conference paper 2024
  3. Automated Quality-Controlled Left Heart Segmentation from 2D Echocardiography

    Segmentation of 2D echocardiography (2DE) images is an important prerequisite for quantifying cardiac function. Although deep learning can automate...
    Conference paper 2024
  4. Probabilistic Interpretation of Traditional KWS Approaches

    In this chapter traditional ideas and approaches forKWS are reviewed under the probabilistic framework proposed in Chapter 3. Both QbE and QbS...
    Chapter 2024
  5. State Of The Art

    As discussed in the previous chapter, the PrIx framework explicitly adopts the IR point of view, but it draws from many concepts and methods...
    Chapter 2024
  6. Probabilistic Models for Handwritten Text

    As discussed in the previous chapter, PrIx (and KWS), can be fruitfully seen under a handwritten text recognition (HTR) viewpoint. So, this chapter...
    Chapter 2024
  7. Validity

    The notion of validity of a prediction has an ill-defined status in NLP, and it is not associated with a widely accepted evaluation measure such as...
    Stefan Riezler, Michael Hagmann in Validity, Reliability, and Significance
    Chapter 2024
  8. Deep Conditional Shape Models for 3D Cardiac Image Segmentation

    Delineation of anatomical structures is often the first step of many medical image analysis workflows. While convolutional neural networks achieve...
    Conference paper 2024
  9. Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images

    Accurate assessment of left atrial fibrosis in patients with atrial fibrillation relies on high-quality 3D late gadolinium enhancement (LGE) MRI...
    Conference paper 2024
  10. Impact of Catheter Orientation on Cardiac Radiofrequency Ablation

    Radiofrequency ablation is a typical treatment for severe cases of cardiac arrhythmias. A catheter, inserted from the patient’s groin, delivers...
    Massimiliano Leoni, Argyrios Petras, ... Luca Gerardo-Giorda in Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers
    Conference paper 2024
  11. Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net

    High-quality virtual populations of human hearts are of significant importance for a variety of applications, such as in silico simulations of...
    Conference paper 2024
  12. Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction

    The key to dynamic or multi-contrast magnetic resonance imaging (MRI) reconstruction lies in exploring inter-frame or inter-contrast information....
    Conference paper 2024
  13. A Context-Encoders-Based Generative Adversarial Networks for Cine Magnetic Resonance Imaging Reconstruction

    Cine imaging serves as a vital approach for non-invasive assessment of cardiac functional parameters. The imaging process of Cine cardiac MRI is...
    Conference paper 2024
  14. Fair Incentive Mechanism for Mobile Crowdsensing

    In this chapter, we jointly address practical issues in the incentive mechanism for MCS to fairly incentivize high-quality users’ participation, like...
    Youqi Li, Fan Li, ... Chuan Zhang in Incentive Mechanism for Mobile Crowdsensing
    Chapter 2024
  15. Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-Making

    This paper investigates the prospect of develo** human-interpretable, explainable artificial intelligence (AI) systems based on active inference...
    Mahault Albarracin, Inês Hipólito, ... Maxwell J. D. Ramstead in Active Inference
    Conference paper 2024
  16. Probabilistic Indexing Search Extensions

    Except for a brief section at the end of Chapter 5, so far in this book PrIx has been studied assuming queries are just single, individual words....
    Chapter 2024
  17. Active Inference in Hebbian Learning Networks

    This work studies how brain-inspired neural ensembles equipped with local Hebbian plasticity can perform active inference (AIF) in order to control...
    Ali Safa, Tim Verbelen, ... Gert Cauwenberghs in Active Inference
    Conference paper 2024
  18. Integrating Cognitive Map Learning and Active Inference for Planning in Ambiguous Environments

    Living organisms need to acquire both cognitive maps for learning the structure of the world and planning mechanisms able to deal with the challenges...
    Toon Van de Maele, Bart Dhoedt, ... Giovanni Pezzulo in Active Inference
    Conference paper 2024
  19. Towards Metacognitive Robot Decision Making for Tool Selection

    The capability to self-asses our performance before doing a task is essential for the decision making process, e.g., when selecting the most suitable...
    Ajith Anil Meera, Pablo Lanillos in Active Inference
    Conference paper 2024
  20. On Embedded Normativity an Active Inference Account of Agency Beyond Flesh

    We introduce and motivate the concept of embedded normativity to account for the externalization of social norms in the material environment through...
    Avel Guénin–Carlut, Mahault Albarracin in Active Inference
    Conference paper 2024
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