Lista de obras - Zhi-Hua Zhou - Dominio Público Uruguay

2D Feature Selection by Sparse Matrix Regression.

artículo científico publicado en 2017

A Convex Method for Locating Regions of Interest with Multi-instance Learning

article by Yu-Feng Li et al published 2009 in Lecture Notes in Computer Science

A FAULT DIAGNOSIS MODEL BASED ON HYBRID LEARNING ALGORITHM IHMCAP

scholarly article in Acta Automatica Sinica, no. 4, 2000

A Manifold Learning-Based Multi-Instance Regression Algorithm

article published in 2006

A New Age Estimation Method Based on Ensemble Learning

scholarly article in Acta Automatica Sinica, no. 8, 2008

A Novel Adaptive Neural Network Regression Estimate Algorithm

article published in 2000

A Refined Margin Distribution Analysis for Forest Representation Learning ⬇️

artículo científico publicado en 2019

A bag-of-words approach for Drosophila gene expression pattern annotation

artículo científico publicado en 2009

A brief introduction to weakly supervised learning

artículo científico publicado en 2017

APPLICATION OF NEURAL NETWORK TO THE DETECTION OF POWER TRANSFORMER RUNNING STATE

scholarly article in Acta Automatica Sinica, no. 2, 2002

Active Learning by Querying Informative and Representative Examples

artículo científico publicado en 2014

Active Learning by Querying Informative and Representative Examples ⬇️

article published in NIPS 2010 proceedings

Adaptive Online Learning in Dynamic Environments ⬇️

An Unbiased Risk Estimator for Learning with Augmented Classes ⬇️

artículo científico publicado en 2020

Analyzing Evolutionary Optimization in Noisy Environments

artículo científico publicado en 2015

Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression

artículo científico publicado en 2013

Automatic age estimation based on facial aging patterns

artículo científico publicado en 2007

Bridging Machine Learning and Logical Reasoning by Abductive Learning ⬇️

scholarly article by Wang-Zhou Dai et al published 2019 in Advances in Neural Information Processing Systems 32

CoTrade: Confident Co-Training With Data Editing

artículo científico publicado el 23 de junio de 2011

Combo-Dimensional Kernels for Graph Classification

article published in 2009

Constrained Monotone <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math> </inline-formula>-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee

artículo científico publicado en 2018

Constructive Hybrid Decision Tree

article published in 2001

Correction to "Automatic Age Estimation Based on Facial Aging Patterns"

artículo científico publicado en 2008

Cost-Sensitive Face Recognition ⬇️

artículo científico publicado el 1 de octubre de 2010

Crowdsourcing label quality: a theoretical analysis

scientific article published in 2015

Deep Forest: Towards An Alternative to Deep Neural Networks

artículo científico publicado en 2017

Disagreement-based Semi-supervised Learning

scholarly article in Acta Automatica Sinica, no. 11, 2013

Distributional Features for Text Categorization

artículo científico publicado en 2009

Drosophila Gene Expression Pattern Annotation Using Sparse Features and Term-Term Interactions

artículo científico publicado en 2009

Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning ⬇️

artículo científico publicado el 1 de enero de 2009

Drosophila gene expression pattern annotation through multi-instance multi-label learning

2012 scientific article

Dynamic Regret of Convex and Smooth Functions ⬇️

artículo científico publicado en 2020

Editorial: special issue on selected papers of PAKDD 2007

Efficient Training for Positive Unlabeled Learning

scientific article published on 30 July 2018

Efficient optimization of performance measures by classifier adaptation.

artículo científico publicado en 2013

Enhance Fault Tolerant Ability of Feedforward Neural Networks Against Multi-Node Open Fault

article published in 2001

Ensembling local learners through multimodal perturbation

artículo científico publicado en 2005

Exploratory undersampling for class-imbalance learning

artículo científico publicado en 2008

Face image modeling by multilinear subspace analysis with missing values

artículo científico publicado en 2009

Face image modeling by multilinear subspace analysis with missing values.

artículo científico

Facial age estimation by learning from label distributions

artículo científico publicado en 2013

Facial age estimation by nonlinear aging pattern subspace

artículo científico publicado en 2008

Fast Multi-Instance Multi-Label Learning

artículo científico publicado en 2018

Generalized low-rank approximations of matrices revisited

artículo científico publicado en 2010

Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning

artículo científico publicado en 2014

Heterogeneous Few-Shot Model Rectification with Semantic Mapping

artículo científico publicado en 2020

Improved Dynamic Regret for Non-degenerate Functions ⬇️

artículo científico publicado en 2017

Improving Deep Forest by Screening

artículo científico publicado en 2022

Individual stable space: an approach to face recognition under uncontrolled conditions

artículo científico publicado en 2008

Investigating Manifold Learning Algorithms Based on Magnification Factors and Principal Spread Directions

article published in 2005

Learning With Interpretable Structure From Gated RNN

artículo científico publicado en 2020

Learning from facial aging patterns for automatic age estimation

artículo científico publicado en 2006

Learning sparse representations for fruit-fly gene expression pattern image annotation and retrieval

artículo científico publicado en 2012

Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder ⬇️

Learning to hash for big data: Current status and future trends

artículo científico publicado en 2015

Learning with Feature Evolvable Streams ⬇️

artículo científico publicado en 2017

ML-KNN: A lazy learning approach to multi-label learning

artículo científico publicado en 2007

Margin Distribution Analysis

artículo científico publicado en 2022

Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms

artículo científico publicado en 2019

Medical diagnosis with C4.5 Rule preceded by artificial neural network ensemble.

artículo científico publicado en 2003

MiRmat: mature microRNA sequence prediction

artículo científico publicado en 2012

Multi-Label Learning from Crowds

artículo científico publicado en 2019

Multi-Layered Gradient Boosting Decision Trees ⬇️

Multi-Modal Web Search Query Refinement Based on Semi-Supervised Learning

article published in 2009

Multi-View Active Learning in the Non-Realizable Case ⬇️

NeC4.5: neural ensemble based C4.5

Neural Network Ensemble

article published in 2002

New semi-supervised classification method based on modified cluster assumption

artículo científico publicado en 2012

Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison ⬇️

artículo científico publicado en 2012

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.

artículo científico publicado en 2016

On the doubt about margin explanation of boosting

One-Pass Learning with Incremental and Decremental Features

artículo científico publicado en 2017

Online game props recommendation with real assessments

Partially shared latent factor learning with multiview data

artículo científico publicado en 2014

Prediction With Unpredictable Feature Evolution

scientific article published in 2022

Preference Based Adaptation for Learning Objectives ⬇️

Quantitative Analysis of Nonlinear Embedding ⬇️

artículo científico publicado el 31 de octubre de 2011

RESEARCH AND APPLICATION OF THE INCREMENTAL ALGORITHM IHMCAP

article published in 1998

Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft kappa-NN ensemble

artículo científico publicado en 2005

Reusable Reinforcement Learning via Shallow Trails

scientific article published on 01 June 2018

Scalable Algorithms for Multi-Instance Learning

artículo científico publicado en 2016

Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval

artículo científico publicado en 2017

Sequence-based prediction of microRNA-binding residues in proteins using cost-sensitive Laplacian support vector machines

artículo científico publicado en 2013

Social Learning

Special edition on semi-supervised learning for visual content analysis and understanding

scholarly article by Jian Cheng et al published October 2011 in Pattern Recognition

Spectral Clustering on Multiple Manifolds ⬇️

artículo científico publicado el 16 de junio de 2011

Speedup Matrix Completion with Side Information: Application to Multi-Label Learning ⬇️

Subset Selection by Pareto Optimization ⬇️

Subset Selection under Noise ⬇️

Supervised nonlinear dimensionality reduction for visualization and classification

artículo científico publicado en 2005

Switch Analysis for Running Time Analysis of Evolutionary Algorithms

artículo científico publicado en 2015

Time Series Theory and Algorithm of Predictable Learnability Based on Error Truncation Assumption

Top 10 algorithms in data mining

scholarly article by Xindong Wu et al published 4 December 2007 in Knowledge and Information Systems

Lista de obras de Zhi-Hua Zhou

2D Feature Selection by Sparse Matrix Regression.

A Convex Method for Locating Regions of Interest with Multi-instance Learning

A FAULT DIAGNOSIS MODEL BASED ON HYBRID LEARNING ALGORITHM IHMCAP

A Manifold Learning-Based Multi-Instance Regression Algorithm

A New Age Estimation Method Based on Ensemble Learning

A Novel Adaptive Neural Network Regression Estimate Algorithm

A Refined Margin Distribution Analysis for Forest Representation Learning ⬇️

A bag-of-words approach for Drosophila gene expression pattern annotation

A brief introduction to weakly supervised learning

APPLICATION OF NEURAL NETWORK TO THE DETECTION OF POWER TRANSFORMER RUNNING STATE

Active Learning by Querying Informative and Representative Examples

Active Learning by Querying Informative and Representative Examples ⬇️

Adaptive Online Learning in Dynamic Environments ⬇️

An Unbiased Risk Estimator for Learning with Augmented Classes ⬇️

Analyzing Evolutionary Optimization in Noisy Environments

Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression

Automatic age estimation based on facial aging patterns

Bridging Machine Learning and Logical Reasoning by Abductive Learning ⬇️

CoTrade: Confident Co-Training With Data Editing

Combo-Dimensional Kernels for Graph Classification

Constrained Monotone &lt;inline-formula&gt; &lt;tex-math notation="LaTeX"&gt;$k$ &lt;/tex-math&gt; &lt;/inline-formula&gt;-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee

Constructive Hybrid Decision Tree

Correction to "Automatic Age Estimation Based on Facial Aging Patterns"

Cost-Sensitive Face Recognition ⬇️

Crowdsourcing label quality: a theoretical analysis

Deep Forest: Towards An Alternative to Deep Neural Networks

Disagreement-based Semi-supervised Learning

Distributional Features for Text Categorization

Distributional Features for Text Categorization

Drosophila Gene Expression Pattern Annotation Using Sparse Features and Term-Term Interactions

Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning ⬇️

Drosophila gene expression pattern annotation through multi-instance multi-label learning

Dynamic Regret of Convex and Smooth Functions ⬇️

Editorial: special issue on selected papers of PAKDD 2007

Efficient Training for Positive Unlabeled Learning

Efficient optimization of performance measures by classifier adaptation.

Enhance Fault Tolerant Ability of Feedforward Neural Networks Against Multi-Node Open Fault

Ensembling local learners through multimodal perturbation

Exploratory undersampling for class-imbalance learning

Face image modeling by multilinear subspace analysis with missing values

Face image modeling by multilinear subspace analysis with missing values.

Facial age estimation by learning from label distributions

Facial age estimation by nonlinear aging pattern subspace

Fast Multi-Instance Multi-Label Learning

Generalized low-rank approximations of matrices revisited

Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning

Heterogeneous Few-Shot Model Rectification with Semantic Mapping

Improved Dynamic Regret for Non-degenerate Functions ⬇️

Improving Deep Forest by Screening

Individual stable space: an approach to face recognition under uncontrolled conditions

Investigating Manifold Learning Algorithms Based on Magnification Factors and Principal Spread Directions

Learning With Interpretable Structure From Gated RNN

Learning from facial aging patterns for automatic age estimation

Learning sparse representations for fruit-fly gene expression pattern image annotation and retrieval

Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder ⬇️

Learning to hash for big data: Current status and future trends

Learning with Feature Evolvable Streams ⬇️

ML-KNN: A lazy learning approach to multi-label learning

Margin Distribution Analysis

Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms

Medical diagnosis with C4.5 Rule preceded by artificial neural network ensemble.

MiRmat: mature microRNA sequence prediction

Multi-Label Learning from Crowds

Multi-Layered Gradient Boosting Decision Trees ⬇️

Multi-Modal Web Search Query Refinement Based on Semi-Supervised Learning

Multi-View Active Learning in the Non-Realizable Case ⬇️

NeC4.5: neural ensemble based C4.5

Neural Network Ensemble

New semi-supervised classification method based on modified cluster assumption

Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison ⬇️

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.

On the doubt about margin explanation of boosting

One-Pass Learning with Incremental and Decremental Features

Online game props recommendation with real assessments

Partially shared latent factor learning with multiview data

Prediction With Unpredictable Feature Evolution

Preference Based Adaptation for Learning Objectives ⬇️

Quantitative Analysis of Nonlinear Embedding ⬇️

RESEARCH AND APPLICATION OF THE INCREMENTAL ALGORITHM IHMCAP

Constrained Monotone <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math> </inline-formula>-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee