Showing 21 - 34 results of 34 for search '"Machine Learning and Knowledge Extraction"', query time: 0.07s Refine Results
  1. 21
    Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks

    Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks by Nermeen Abou Baker, David Rohrschneider, Uwe Handmann

    Published 2024-12-01
    “…Machine Learning and Knowledge Extraction…”
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  2. 22
    Node-Centric Pruning: A Novel Graph Reduction Approach

    Node-Centric Pruning: A Novel Graph Reduction Approach by Hossein Shokouhinejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani

    Published 2024-11-01
    “…Machine Learning and Knowledge Extraction…”
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  3. 23
    Towards Self-Conscious AI Using Deep ImageNet Models: Application for Blood Cell Classification

    Towards Self-Conscious AI Using Deep ImageNet Models: Application for Blood Cell Classification by Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras

    Published 2024-10-01
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  4. 24
    Machine Learning Monte Carlo Approaches and Statistical Physics Notions to Characterize Bacterial Species in Human Microbiota

    Machine Learning Monte Carlo Approaches and Statistical Physics Notions to Characterize Bacterial Species in Human Microbiota by Michele Bellingeri, Leonardo Mancabelli, Christian Milani, Gabriele Andrea Lugli, Roberto Alfieri, Massimiliano Turchetto, Marco Ventura, Davide Cassi

    Published 2024-10-01
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  5. 25
    Long-Range Bird Species Identification Using Directional Microphones and CNNs

    Long-Range Bird Species Identification Using Directional Microphones and CNNs by Tiago Garcia, Luís Pina, Magnus Robb, Jorge Maria, Roel May, Ricardo Oliveira

    Published 2024-10-01
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  6. 26
    Maximising Synergy: The Benefits of a Joint Implementation of Knowledge Management and Artificial Intelligence System Standards

    Maximising Synergy: The Benefits of a Joint Implementation of Knowledge Management and Artificial Intelligence System Standards by Natalia Khazieva, Alena Pauliková, Henrieta Hrablik Chovanová

    Published 2024-10-01
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  7. 27
    Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures

    Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures by Antonio Sabbatella, Andrea Ponti, Antonio Candelieri, Francesco Archetti

    Published 2024-10-01
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  8. 28
    Potato Leaf Disease Detection Based on a Lightweight Deep Learning Model

    Potato Leaf Disease Detection Based on a Lightweight Deep Learning Model by Chao-Yun Chang, Chih-Chin Lai

    Published 2024-10-01
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  9. 29
    Profiling Astroturfers on Facebook: A Complete Framework for Labeling, Feature Extraction, and Classification

    Profiling Astroturfers on Facebook: A Complete Framework for Labeling, Feature Extraction, and Classification by Jonathan Schler, Elisheva Bonchek-Dokow

    Published 2024-09-01
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  10. 30
    Application of Bayesian Neural Networks in Healthcare: Three Case Studies

    Application of Bayesian Neural Networks in Healthcare: Three Case Studies by Lebede Ngartera, Mahamat Ali Issaka, Saralees Nadarajah

    Published 2024-11-01
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  11. 31
    Diversifying Multi-Head Attention in the Transformer Model

    Diversifying Multi-Head Attention in the Transformer Model by Nicholas Ampazis, Flora Sakketou

    Published 2024-11-01
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  12. 32
    Adaptive AI Alignment: Established Resources for Aligning Machine Learning with Human Intentions and Values in Changing Environments

    Adaptive AI Alignment: Established Resources for Aligning Machine Learning with Human Intentions and Values in Changing Environments by Stephen Fox

    Published 2024-11-01
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  13. 33
    Empowering Brain Tumor Diagnosis through Explainable Deep Learning

    Empowering Brain Tumor Diagnosis through Explainable Deep Learning by Zhengkun Li, Omar Dib

    Published 2024-10-01
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  14. 34
    Enhancing Hierarchical Sales Forecasting with Promotional Data: A Comparative Study Using ARIMA and Deep Neural Networks

    Enhancing Hierarchical Sales Forecasting with Promotional Data: A Comparative Study Using ARIMA and Deep Neural Networks by Mariana Teixeira, José Manuel Oliveira, Patrícia Ramos

    Published 2024-11-01
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