Search Results - "Zhou, Hua"
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1
A brief introduction to weakly supervised learning
Published in National science review (01-01-2018)“…Abstract Supervised learning techniques construct predictive models by learning from a large number of training examples, where each training example has a…”
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2
Is novel coronavirus disease (COVID‐19) transmitted through conjunctiva?
Published in Journal of medical virology (01-09-2020)Get full text
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Side effects of methotrexate therapy for rheumatoid arthritis: A systematic review
Published in European journal of medicinal chemistry (05-10-2018)“…Methotrexate (MTX) is used as an anchor disease-modifying anti-rheumatic drugs (DMARDs) in treating rheumatoid arthritis (RA) because of its potent efficacy…”
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A Review on Multi-Label Learning Algorithms
Published in IEEE transactions on knowledge and data engineering (01-08-2014)“…Multi-label learning studies the problem where each example is represented by a single instance while associated with a set of labels simultaneously. During…”
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Automatic Age Estimation Based on Facial Aging Patterns
Published in IEEE transactions on pattern analysis and machine intelligence (01-12-2007)“…While recognition of most facial variations, such as identity, expression, and gender, has been extensively studied, automatic age estimation has rarely been…”
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6
Deep forest
Published in National science review (01-01-2019)“…Abstract Current deep-learning models are mostly built upon neural networks, i.e. multiple layers of parameterized differentiable non-linear modules that can…”
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Multi-Label Learning with Global and Local Label Correlation
Published in IEEE transactions on knowledge and data engineering (01-06-2018)“…It is well-known that exploiting label correlations is important to multi-label learning. Existing approaches either assume that the label correlations are…”
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Exploratory Undersampling for Class-Imbalance Learning
Published in IEEE transactions on systems, man and cybernetics. Part B, Cybernetics (01-04-2009)“…Undersampling is a popular method in dealing with class-imbalance problems, which uses only a subset of the majority class and thus is very efficient. The main…”
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9
A high-performance topological bulk laser based on band-inversion-induced reflection
Published in Nature nanotechnology (01-01-2020)“…Topological insulators are materials that behave as insulators in the bulk and as conductors at the edge or surface due to the particular configuration of…”
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Adaptive error feedback regulation problem for 1D wave equation
Published in International journal of robust and nonlinear control (01-10-2018)“…Summary By using the adaptive control approach, we solve the error feedback regulator problem for the one‐dimensional wave equation with a general harmonic…”
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Directional Fluid Transport in Thin Porous Materials and its Functional Applications
Published in Small (Weinheim an der Bergstrasse, Germany) (01-01-2017)“…Directional fluid motion driven by the surface property of solid substrate is highly desirable for manipulating microfluidic liquid and collecting water from…”
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One-Pass Learning with Incremental and Decremental Features
Published in IEEE transactions on pattern analysis and machine intelligence (01-11-2018)“…In many real tasks the features are evolving, with some features vanished and some other features being augmented. For example, in environment monitoring some…”
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13
Facial Age Estimation by Learning from Label Distributions
Published in IEEE transactions on pattern analysis and machine intelligence (01-10-2013)“…One of the main difficulties in facial age estimation is that the learning algorithms cannot expect sufficient and complete training data. Fortunately, the…”
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14
Optimal Margin Distribution Machine
Published in IEEE transactions on knowledge and data engineering (01-06-2020)“…Support Vector Machine (SVM) has always been one of the most successful learning algorithms, with the central idea of maximizing the minimum margin , i.e., the…”
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Towards Making Unlabeled Data Never Hurt
Published in IEEE transactions on pattern analysis and machine intelligence (01-01-2015)“…It is usually expected that learning performance can be improved by exploiting unlabeled data, particularly when the number of labeled data is limited…”
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Improve Computer-Aided Diagnosis With Machine Learning Techniques Using Undiagnosed Samples
Published in IEEE transactions on systems, man and cybernetics. Part A, Systems and humans (01-11-2007)“…In computer-aided diagnosis (CAD), machine learning techniques have been widely applied to learn a hypothesis from diagnosed samples to assist the medical…”
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17
Revealing the missing dimension at an exceptional point
Published in Nature physics (01-05-2020)“…The radiation of electromagnetic and mechanical waves depends not only on the intrinsic properties of the emitter but also on the surrounding environment. This…”
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Multi-Label Learning with Emerging New Labels
Published in IEEE transactions on knowledge and data engineering (01-10-2018)“…In a multi-label learning task, an object possesses multiple concepts where each concept is represented by a class label. Previous studies on multi-label…”
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Active Learning by Querying Informative and Representative Examples
Published in IEEE transactions on pattern analysis and machine intelligence (01-10-2014)“…Active learning reduces the labeling cost by iteratively selecting the most valuable data to query their labels. It has attracted a lot of interests given the…”
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Multiple imputation: review of theory, implementation and software
Published in Statistics in medicine (20-07-2007)“…Missing data is a common complication in data analysis. In many medical settings missing data can cause difficulties in estimation, precision and inference…”
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