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    Chapter and Conference Paper

    Type-I Topological Logic \(\mathbb{C}^{1}_\mathcal{T}\) and Approximate Reasoning

    We introduce the consistent topological structure and neighborhood structure into the logical framework for providing the logical foundation and logical normalization for the approximate reasoning. We present ...

    Yalin Zheng, Changshui Zhang, **n Yao in Fuzzy Systems and Knowledge Discovery (2005)

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    Chapter and Conference Paper

    Type II Topological Logic \(\mathbb{C}^2_\mathcal{T}\) and Approximate Reasoning

    This paper propose a topological logic model of approximate reasoning based on the type II topological logic $\mathbb{C}^2_\mathcal{T}...

    Yalin Zheng, Changshui Zhang, Yinglong **a in Fuzzy Systems and Knowledge Discovery (2005)

  3. Chapter and Conference Paper

    Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining

    Age-related Macular Degeneration (AMD) is the most common cause of adult blindness in the developed world. This paper describes a new image mining technique to perform automated detection of AMD from colour fu...

    Mohd Hanafi Ahmad Hijazi, Chuntao Jiang in Machine Learning and Knowledge Discovery i… (2011)

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    Chapter and Conference Paper

    Dictionary Learning-Based Volumetric Image Classification for the Diagnosis of Age-Related Macular Degeneration

    A discriminative dictionary-based approach to supporting the classification of 3D Optical Coherence Tomography (OCT) retinal images, so as to determine the presence of Age-related Macular Degeneration (AMD), i...

    Abdulrahman Albarrak, Frans Coenen in Machine Learning and Data Mining in Patter… (2014)

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    Chapter and Conference Paper

    Addressing the Challenge of Data Heterogeneity Using a Homogeneous Feature Vector Representation: A Study Using Time Series and Cardiovascular Disease Classification

    An investigation into the use of a unifying Homogeneous Feature Vector Representation (HFVR), to address the challenge of applying machine learning and/or deep learning to heterogeneous data, is presented. To ...

    Hanadi Aldosari, Frans Coenen, Gregory Y. H. Lip in Artificial Intelligence XXXVIII (2021)