Zhou Zhi-Hua | Academic Influence

Zhou Zhi-Hua's AcademicInfluence.com Rankings

Zhou Zhi-Hua

Computer Science

#1682

World Rank

#1743

Historical Rank

Data Mining

#16

World Rank

#16

Historical Rank

Algorithms

#33

World Rank

#33

Historical Rank

Machine Learning

#91

World Rank

#91

Historical Rank

computer-science Degrees

Download Badge

Computer Science

Zhou Zhi-Hua's Degrees

PhD Computer Science Nanjing University

Similar Degrees You Can Earn

Best Online PhD of Computer Science (Doctorates) 2024

Why Is Zhou Zhi-Hua Influential?

(Suggest an Edit or Addition)

According to Wikipedia, Zhou Zhihua is a Chinese computer scientist and Professor of Computer Science at Nanjing University. He is the Standing Deputy Director of the National Key Laboratory for Novel Software Technology, and Founding Director of the LAMDA Group. His research interests include artificial intelligence, machine learning and data mining.

(See a Problem?)

Zhou Zhi-Hua's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Top 10 algorithms in data mining (2007) (5183)
Isolation Forest (2008) (2826)
ML-KNN: A lazy learning approach to multi-label learning (2007) (2701)
A Review on Multi-Label Learning Algorithms (2014) (2278)
Ensembling neural networks: Many could be better than all (2002) (1833)
Exploratory Undersampling for Class-Imbalance Learning (2009) (1326)
Ensemble Methods: Foundations and Algorithms (2012) (1246)
Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem (2006) (1144)
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization (2006) (1106)
Isolation-Based Anomaly Detection (2012) (1073)
A brief introduction to weakly supervised learning (2018) (1014)
Tri-training: exploiting unlabeled data using three classifiers (2005) (1003)
Automatic Age Estimation Based on Facial Aging Patterns (2007) (991)
Understanding bag-of-words model: a statistical framework (2010) (854)
Exploratory Under-Sampling for Class-Imbalance Learning (2006) (784)
Face recognition from a single image per person: A survey (2006) (750)
Deep Forest: Towards An Alternative to Deep Neural Networks (2017) (725)
Active Learning by Querying Informative and Representative Examples (2010) (574)
Facial Age Estimation by Learning from Label Distributions (2010) (505)
A k-nearest neighbor based algorithm for multi-label classification (2005) (425)
Multi-instance learning by treating instances as non-I.I.D. samples (2008) (425)
Projection functions for eye detection (2004) (424)
Semi-supervised learning by disagreement (2008) (386)
Multi-instance multi-label learning (2008) (381)
Multi-Instance Multi-Label Learning with Application to Scene Classification (2006) (380)
Lung cancer cell identification based on artificial neural network ensembles (2002) (378)
Improve Computer-Aided Diagnosis With Machine Learning Techniques Using Undiagnosed Samples (2007) (350)
Multilabel dimensionality reduction via dependence maximization (2008) (346)
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval (2016) (338)
Semi-Supervised Dimensionality Reduction (2007) (329)
Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison (2012) (324)
Towards Making Unlabeled Data Never Hurt (2011) (313)
Learning from facial aging patterns for automatic age estimation (2006) (305)
Deep forest (2017) (305)
ON MULTI‐CLASS COST‐SENSITIVE LEARNING (2006) (296)
Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble (2005) (293)
iBAT: detecting anomalous taxi trajectories from GPS traces (2011) (279)
Face recognition with one training image per person (2002) (266)
Semi-Supervised Regression with Co-Training (2005) (262)
Column Sampling Based Discrete Supervised Hashing (2016) (256)
Supervised nonlinear dimensionality reduction for visualization and classification (2005) (255)
The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study (2006) (251)
Partial Multi-View Clustering (2014) (248)
Speedup Matrix Completion with Side Information: Application to Multi-Label Learning (2013) (246)
Minimal gated unit for recurrent neural networks (2016) (244)
Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum] (2014) (231)
Multi-Label Learning by Exploiting Label Correlations Locally (2012) (221)
Analyzing Co-training Style Algorithms (2007) (220)
Constraint Score: A new filter method for feature selection with pairwise constraints (2008) (207)
Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble (2003) (205)
Image Retargeting Using Mesh Parametrization (2009) (198)
A new face recognition method based on SVD perturbation for single example image per person (2005) (195)
Multi-Label Learning with Global and Local Label Correlation (2017) (195)
Making FLDA applicable to face recognition with one sample per person (2004) (188)
A New Analysis of Co-Training (2010) (186)
Meta-path based multi-network collective link prediction (2014) (185)
On the relation between multi-instance learning and semi-supervised learning (2007) (175)
Multi-Label Learning with Weak Label (2010) (173)
Clusterer ensemble (2006) (173)
A Taxi Driving Fraud Detection System (2011) (171)
Extracting symbolic rules from trained neural network ensembles (2003) (171)
Supervised nonlinear dimensionality reduction for visualization and classification (2005) (169)
Analysis of genetic structure of a Suillus grevillei population in a Larix kaempferi stand by polymorphism of inter‐simple sequence repeat (ISSR) (1999) (168)
Sample-based software defect prediction with active and semi-supervised learning (2012) (168)
Multi-View Video Summarization (2010) (167)
Transductive Multilabel Learning via Label Set Propagation (2013) (162)
A Unified View of Multi-Label Performance Measures (2016) (161)
Underground primary succession of ectomycorrhizal fungi in a volcanic desert on Mount Fuji. (2003) (159)
Enhancing relevance feedback in image retrieval using unlabeled data (2006) (157)
Cost-Sensitive Face Recognition (2008) (156)
When semi-supervised learning meets ensemble learning (2009) (154)
One-Pass AUC Optimization (2013) (153)
Pose invariant face recognition (2000) (153)
Semi-Supervised Learning with Very Few Labeled Training Examples (2007) (153)
Diagonal principal component analysis for face recognition (2006) (150)
Unsupervised metric fusion by cross diffusion (2012) (147)
On the doubt about margin explanation of boosting (2010) (146)
Multi-Instance Learning Based Web Mining (2005) (146)
SETRED: Self-training with Editing (2005) (146)
Multi-instance clustering with applications to multi-instance prediction (2009) (143)
Hybrid decision tree (2002) (142)
Solving multi-instance problems with classifier ensemble based on constructive clustering (2007) (141)
Distributional Features for Text Categorization (2006) (138)
Multi-Instance Learning : A Survey (2004) (136)
Selective Ensemble of Decision Trees (2003) (136)
Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code (2016) (135)
Tighter and Convex Maximum Margin Clustering (2009) (134)
Resource Allocation for Heterogeneous Cognitive Radio Networks with Imperfect Spectrum Sensing (2013) (134)
Spectral Clustering on Multiple Manifolds (2011) (132)
Genetic Algorithm based Selective Neural Network Ensemble (2001) (132)
Semisupervised Regression with Cotraining-Style Algorithms (2007) (131)
Social Learning (2010) (131)
Neural Networks for Multi-Instance Learning (2002) (131)
Editing Training Data for kNN Classifiers with Neural Network Ensemble (2004) (130)
Top-Eye: top-k evolving trajectory outlier detection (2010) (128)
On the Consistency of Multi-Label Learning (2011) (123)
User Identity Linkage by Latent User Space Modelling (2016) (120)
Diversity Regularized Ensemble Pruning (2012) (120)
Subset Selection by Pareto Optimization (2015) (115)
B-Planner: Planning Bidirectional Night Bus Routes Using Large-Scale Taxi GPS Traces (2014) (115)
Efficient face candidates selector for face detection (2003) (114)
NeC4.5: neural ensemble based C4.5 (2004) (109)
M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning (2008) (109)
Deep MIML Network (2017) (108)
Adaptive Online Learning in Dynamic Environments (2018) (107)
SOM Ensemble-Based Image Segmentation (2004) (106)
Genetic structure and reproduction dynamics of Salix reinii during primary succession on Mount Fuji, as revealed by nuclear and chloroplast microsatellite analysis (2003) (104)
Three perspectives of data mining (2003) (104)
Improve Multi-Instance Neural Networks through Feature Selection (2004) (102)
Face Recognition Under Occlusions and Variant Expressions With Partial Similarity (2009) (101)
On Detecting Clustered Anomalies Using SCiForest (2010) (99)
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data (2020) (99)
New Semi-Supervised Classification Method Based on Modified Cluster Assumption (2012) (98)
Semi-supervised learning using label mean (2009) (98)
Improved Dynamic Regret for Non-degenerate Functions (2016) (97)
Fast Multi-Instance Multi-Label Learning (2013) (97)
Partially Shared Latent Factor Learning With Multiview Data (2015) (95)
Ensembling local learners ThroughMultimodal perturbation (2005) (95)
Exploiting Unlabeled Data in Content-Based Image Retrieval (2004) (95)
A Convex Method for Locating Regions of Interest with Multi-instance Learning (2009) (94)
Learnware: on the future of machine learning (2016) (93)
A Simple Method for Developing Microsatellite Markers using Amplified Fragments of Inter-simple Sequence Repeat (ISSR) (2001) (93)
Multi-Layered Gradient Boosting Decision Trees (2018) (93)
Large margin distribution machine (2013) (92)
On the Consistency of AUC Pairwise Optimization (2012) (91)
Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering (2014) (89)
Convex and scalable weakly labeled SVMs (2013) (89)
International Trade Status and Crisis for Snake Species in China (2004) (88)
Abductive learning: towards bridging machine learning and logical reasoning (2019) (88)
A new approach to estimating the expected first hitting time of evolutionary algorithms (2006) (87)
Non-negative Matrix Factorization on Kernels (2006) (87)
Learning a distance metric from multi-instance multi-label data (2009) (86)
Scalable Algorithms for Multi-Instance Learning (2017) (85)
Cost-Sensitive Semi-Supervised Support Vector Machine (2010) (85)
Spatial Distribution of the Subterranean Mycelia and Ectomycorrhizae of Suillus grevillei Genets (2001) (85)
Learning with Augmented Class by Exploiting Unlabeled Data (2014) (84)
Pareto Ensemble Pruning (2015) (83)
B-Planner: Night bus route planning using large-scale taxi GPS traces (2013) (83)
When Does Cotraining Work in Real Data? (2011) (83)
On the approximation ability of evolutionary optimization with application to minimum set cover (2010) (83)
Dynamic Regret of Strongly Adaptive Methods (2017) (83)
Ensembles of Multi-instance Learners (2003) (82)
An analysis on recombination in multi-objective evolutionary optimization (2011) (82)
Multi-label hypothesis reuse (2012) (81)
Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees (2016) (81)
Key Instance Detection in Multi-Instance Learning (2012) (80)
Multi-Label Learning by Instance Differentiation (2007) (80)
CoTrade: Confident Co-Training With Data Editing (2011) (80)
Tri-net for Semi-Supervised Deep Learning (2018) (80)
Bridging Machine Learning and Logical Reasoning by Abductive Learning (2019) (79)
NeC4.5: Neural Ensemble Based C4.5 (2004) (79)
On multi-view active learning and the combination with semi-supervised learning (2008) (77)
A literature survey on robust and efficient eye localization in real-life scenarios (2013) (77)
Multi-Modal Image Annotation with Multi-Instance Multi-Label LDA (2013) (76)
Towards Safe Weakly Supervised Learning (2021) (76)
Facial age estimation by nonlinear aging pattern subspace (2008) (74)
Crowd intelligence in AI 2.0 era (2017) (74)
Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming (2017) (74)
Face Image Modeling by Multilinear Subspace Analysis With Missing Values (2009) (73)
Rule extraction: Using neural networks or for neural networks? (2004) (71)
Enhanced Pictorial Structures for precise eye localization under incontrolled conditions (2009) (71)
Building Decision Trees for the Multi-class Imbalance Problem (2012) (71)
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection (2010) (69)
Multiple species of wild tree peonies gave rise to the ‘king of flowers’, Paeonia suffruticosa Andrews (2014) (69)
Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning (2014) (68)
Exploiting unlabeled data to enhance ensemble diversity (2009) (66)
Top Rank Optimization in Linear Time (2014) (66)
Adapting RBF Neural Networks to Multi-Instance Learning (2006) (66)
Active Query Driven by Uncertainty and Diversity for Incremental Multi-label Learning (2013) (65)
Semi-Supervised Regression with Co-Training Style Algorithms (2007) (65)
Ensembling local learners ThroughMultimodal perturbation (2005) (62)
Spectrum of Variable-Random Trees (2008) (62)
Diversity Regularized Machine (2011) (61)
Scalable Multi-instance Learning (2014) (61)
Subterranean community structure of ectomycorrhizal fungi under Suillus grevillei sporocarps in a Larix kaempferi forest. (2002) (60)
Dropout Rademacher complexity of deep neural networks (2014) (59)
Unified Locally Linear Embedding and Linear Discriminant Analysis Algorithm (ULLELDA) for Face Recognition (2004) (59)
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning (2009) (59)
Ensemble Learning (2009) (58)
FANNC: A Fast Adaptive Neural Network Classifier (2000) (58)
Cost-Effective Active Learning from Diverse Labelers (2017) (57)
Fast Power Allocation Algorithm for Cognitive Radio Networks (2011) (57)
Improved Bounds for the Nyström Method With Application to Kernel Classification (2011) (56)
Multi-label Learning (2017) (56)
Multi-Label Active Learning: Query Type Matters (2015) (56)
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin (2011) (55)
AutoEncoder by Forest (2017) (55)
Streaming Classification with Emerging New Class by Class Matrix Sketching (2017) (55)
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud (2018) (55)
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder (2019) (54)
Learning Safe Prediction for Semi-Supervised Regression (2017) (54)
Learning instance specific distances using metric propagation (2009) (54)
When does Co-training Work in Real Data? (2009) (53)
Large Margin Distribution Learning (2014) (52)
Multi-label Learning with Emerging New Labels (2016) (50)
Introduction to the special issue on learning from multi-label data (2012) (50)
A Simple Approach for Non-stationary Linear Bandits (2020) (50)
Active Learning from Crowds with Unsure Option (2015) (49)
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments (2014) (49)
Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights (2013) (49)
PRICAI 2008: Trends in Artificial Intelligence, 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008. Proceedings (2008) (48)
Anomaly Detection with Partially Observed Anomalies (2018) (48)
Evolutionary Learning: Advances in Theories and Algorithms (2019) (48)
Efficient Training for Positive Unlabeled Learning (2016) (48)
One-Pass Learning with Incremental and Decremental Features (2016) (48)
Online Stochastic Linear Optimization under One-bit Feedback (2015) (47)
Subset Selection under Noise (2017) (47)
Software Defect Detection with Rocus (2011) (47)
Evolving Fault-Tolerant Neural Networks (2003) (47)
Semi-supervised document retrieval (2009) (47)
Analyzing Evolutionary Optimization in Noisy Environments (2013) (47)
A bag-of-words approach for Drosophila gene expression pattern annotation (2009) (47)
SOM Based Image Segmentation (2003) (47)
Optimal Margin Distribution Machine (2016) (46)
On the Margin Explanation of Boosting Algorithms (2008) (46)
Dynamic Regret of Convex and Smooth Functions (2020) (46)
Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure (2016) (46)
Learning the kernel parameters in kernel minimum distance classifier (2006) (46)
Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions (2008) (45)
Selective Ensemble under Regularization Framework (2009) (45)
Multi-information Ensemble Diversity (2010) (45)
Effective and efficient microprocessor design space exploration using unlabeled design configurations (2011) (45)
Single Image Subspace for Face Recognition (2007) (45)
Patch establishment and development of a clonal plant, Polygonum cuspidatum, on Mount Fuji (2003) (44)
Risk Minimization in the Presence of Label Noise (2016) (44)
Efficient Optimization of Performance Measures by Classifier Adaptation (2010) (43)
The Microbial Community in the Feces of the Giant Panda (Ailuropoda melanoleuca) as Determined by PCR-TGGE Profiling and Clone Library Analysis (2007) (43)
Corrigendum to "Ensembling neural networks: Many could be better than all" [Artificial Intelligence 137 (1-2) (2002) 239-263] (2010) (43)
Towards Discovering What Patterns Trigger What Labels (2012) (42)
Deep Learning for Fixed Model Reuse (2017) (42)
Label Distribution Learning by Optimal Transport (2018) (42)
Ensemble Methods for Class Imbalance Learning (2013) (42)
Machine learning for 5G and beyond: From model-based to data-driven mobile wireless networks (2019) (41)
Least Square Incremental Linear Discriminant Analysis (2009) (41)
Improving Deep Forest by Confidence Screening (2018) (40)
Multi-Instance Multi-Label Learning with Weak Label (2013) (40)
Graph Quality Judgement: A Large Margin Expedition (2016) (39)
BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network (2017) (39)
Ensemble multi-instance multi-label learning approach for video annotation task (2011) (39)
Learning with Unlabeled Data and Its Application to Image Retrieval (2006) (38)
Mining heterogeneous causal effects for personalized cancer treatment (2017) (38)
Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers (2007) (38)
Genetic Structure of Pine Sawyer Monochamus alternatus (Coleoptera: Cerambycidae) Populations in Northeast Asia: Consequences of the Spread of Pine Wilt Disease (2006) (38)
Large Margin Distribution Learning with Cost Interval and Unlabeled Data (2016) (38)
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition (2005) (37)
Drosophila gene expression pattern annotation using sparse features and term-term interactions (2009) (37)
What Makes Objects Similar: A Unified Multi-Metric Learning Approach (2019) (37)
Learning with cost intervals (2010) (37)
Multi-View Active Learning in the Non-Realizable Case (2010) (36)
Multi-manifold Clustering (2010) (36)
Handling concept drift via model reuse (2018) (36)
Towards Safe Semi-Supervised Learning for Multivariate Performance Measures (2016) (36)
Co-Training with Insufficient Views (2013) (36)
Constraint Projections for Ensemble Learning (2008) (35)
Resource allocation for heterogeneous multiuser OFDM-based cognitive radio networks with imperfect spectrum sensing (2012) (35)
Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization (2016) (35)
Image Region Selection and Ensemble for Face Recognition (2006) (35)
Molecular Phylogeny of the “True Citrus Fruit Trees” Group (Aurantioideae, Rutaceae) as Inferred from Chloroplast DNA Sequence (2011) (35)
Parallel Pareto Optimization for Subset Selection (2016) (35)
Drosophila gene expression pattern annotation through multi-instance multi-label learning. (2012) (34)
Learning From Semi-Supervised Weak-Label Data (2018) (34)
Learning From Incomplete and Inaccurate Supervision (2019) (34)
Incomplete Label Distribution Learning (2017) (34)
Constrained Monotone $k$ -Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee (2018) (34)
Learning With Interpretable Structure From Gated RNN (2018) (34)
Adaptive Regret of Convex and Smooth Functions (2019) (33)
Adapt Bagging to Nearest Neighbor Classifiers (2005) (33)
On Constrained Boolean Pareto Optimization (2015) (33)
Generalized Low-Rank Approximations of Matrices Revisited (2010) (33)
Deep Descriptor Transforming for Image Co-Localization (2017) (32)
Multi-Label Learning with PRO Loss (2013) (32)
Genet Distribution of Ectomycorrhizal Fungus Suillus grevillei Populations in Two Larix kaempferi Stands over Two Years (2000) (32)
Line Orthogonality in Adjacency Eigenspace with Application to Community Partition (2011) (32)
Identifying Snake Species Threatened by Economic Exploitation and International Trade in China (2005) (31)
Polyurethane/carbon black composites with high positive temperature coefficient and low critical transformation temperature (2005) (31)
ArchRanker: A ranking approach to design space exploration (2014) (30)
MIML: A Framework for Learning with Ambiguous Objects (2008) (30)
Correction to "Automatic Age Estimation Based on Facial Aging Patterns" (2008) (30)
Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach (2015) (30)
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion (2006) (30)
A novel bag generator for image database retrieval with multi-instance learning techniques (2003) (30)
Learning With Feature Evolvable Streams (2017) (30)
Partial Label Learning with Unlabeled Data (2019) (30)
Partial MultiView Clustering ∗ (2014) (29)
Using neural networks for fault diagnosis (2000) (29)
Sequence-Based Prediction of microRNA-Binding Residues in Proteins Using Cost-Sensitive Laplacian Support Vector Machines (2013) (29)
An empirical study on image bag generators for multi-instance learning (2016) (29)
Switch Analysis for Running Time Analysis of Evolutionary Algorithms (2015) (29)
Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms (2017) (29)
Spectral Analysis of k-Balanced Signed Graphs (2011) (29)
Isolation Kernel and Its Effect on SVM (2018) (29)
Structural diversity for decision tree ensemble learning (2018) (29)
Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning (2014) (28)
Exploiting Image Contents in Web Search (2007) (28)
Multi-Label Learning with Deep Forest (2019) (27)
CoTrade: Confident Co-Training With Data Editing. (2011) (27)
Characteristics and Risk Assessment of International Trade in Tortoises and Freshwater Turtles in China (2008) (27)
Selective Ensemble of Classifier Chains (2013) (27)
Multi-Label Learning from Crowds (2019) (27)
Query-Sensitive Similarity Measure for Content-Based Image Retrieval (2006) (27)
CUR Algorithm for Partially Observed Matrices (2014) (26)
Ensemble approach based on conditional random field for multi-label image and video annotation (2011) (26)
2D Feature Selection by Sparse Matrix Regression (2017) (26)
Phylogenetic analysis of Paeonia sect. Moutan (Paeoniaceae) based on multiple DNA fragments and morphological data (2007) (26)
A statistics based approach for extracting priority rules from trained neural networks (2000) (26)
Modeling of Geographic Dependencies for Real Estate Ranking on Site Selection (2015) (25)
Semi-supervised multi-instance multi-label learning for video annotation task (2012) (25)
Multi-Instance Learning from Supervised View (2006) (25)
Crowdsourcing label quality: a theoretical analysis (2015) (25)
Cocktail Ensemble for Regression (2007) (24)
Non-stationary Online Learning with Memory and Non-stochastic Control (2021) (24)
Learning to hash for big data: Current status and future trends (2015) (24)
Multi-Class Optimal Margin Distribution Machine (2017) (24)
Combining Regression Estimators: GA-Based Selective Neural Network Ensemble (2001) (24)
MiRmat: Mature microRNA Sequence Prediction (2012) (24)
A general neural framework for classification rule mining (2000) (23)
Multi-Instance Learning with Key Instance Shift (2017) (23)
POSTER: A PU Learning based System for Potential Malicious URL Detection (2017) (23)
A spectral approach to detecting subtle anomalies in graphs (2013) (23)
Meta-Interpretive Learning from noisy images (2018) (23)
Learning with Interpretable Structure from RNN (2018) (23)
Optimal Margin Distribution Clustering (2018) (23)
Development of microsatellite markers in polyploid Salix reinii (2001) (23)
COVID-19 Asymptomatic Infection Estimation (2020) (22)
Training SpamAssassin with Active Semi-supervised Learning (2009) (21)
Ensemble of GA based Selective Neural Network Ensembles (2002) (21)
Non-Parametric Kernel Learning with robust pairwise constraints (2012) (21)
Multi-Label Learning with Emerging New Labels (2018) (21)
Cost-Saving Effect of Crowdsourcing Learning (2016) (21)
TEFE: A Time-Efficient Approach to Feature Extraction (2008) (21)
Locating Regions of Interest in CBIR with Multi-instance Learning Techniques (2005) (21)
Scalable Stochastic Alternating Direction Method of Multipliers (2015) (21)
Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the O(1/T) Convergence Rate (2019) (21)
On the usefulness of infeasible solutions in evolutionary search: A theoretical study (2008) (20)
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval (2012) (20)
Ensemble-Based Discriminant Manifold Learning for Face Recognition (2006) (20)
Theoretical Foundation of Co-Training and Disagreement-Based Algorithms (2017) (20)
Predicting miRNA Targets by Integrating Gene Regulatory Knowledge with Expression Profiles (2016) (20)
Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin (2019) (20)
Distribution-Free One-Pass Learning (2017) (20)
Improving tolerance of neural networks against multi-node open fault (2001) (20)
Exploiting Multi-Modal Interactions: A Unified Framework (2009) (20)
Comprehensibility of Data Mining Algorithms (2005) (19)
Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization (2020) (19)
Tunneling Neural Perception and Logic Reasoning through Abductive Learning (2018) (19)
Disagreement-based Semi-supervised Learning (2013) (19)
Bandit Convex Optimization in Non-stationary Environments (2019) (19)
Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection (2020) (18)
Towards an Understanding of Benign Overfitting in Neural Networks (2021) (18)
Selectively ensembling neural classifiers (2002) (18)
Online Bandit Learning for a Special Class of Non-Convex Losses (2015) (18)
Genetic Structure of Populations of the Pinewood Nematode Bursaphelenchus xylophilus, the Pathogen of Pine Wilt Disease, Between and Within Pine Forests. (2007) (18)
Taxonomy, Geographic Distribution and Ecological Habitats of Tree Peonies (2006) (18)
Stochastic Optimization for Kernel PCA (2016) (18)
Multi-Instance Dimensionality Reduction (2010) (17)
Learning to Generate Posters of Scientific Papers (2016) (17)
Ensembling MML Causal Discovery (2004) (17)
Robust Multi-Label Learning with PRO Loss (2020) (17)
Why over-parameterization of deep neural networks does not overfit? (2020) (17)
Local and Structural Consistency for Multi-Manifold Clustering (2011) (16)
Polymorphic microsatellite markers of a Pisolithus sp. from a Eucalyptus plantation (2002) (16)
Improving Web search using image snippets (2008) (16)
Predicting Future Customers via Ensembling Gradually Expanded Trees (2007) (16)
New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning (2017) (16)
Logical Vision: Meta-Interpretive Learning for Simple Geometrical Concepts (2015) (16)
Multi-Instance Learning With Emerging Novel Class (2021) (16)
Rectify Heterogeneous Models with Semantic Mapping (2018) (16)
Multi-Instance Learning with Distribution Change (2014) (15)
Isolation Set-Kernel and Its Application to Multi-Instance Learning (2019) (15)
Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models (2017) (15)
Multi-View Matrix Completion for Clustering with Side Information (2017) (15)
Variable solution structure can be helpful in evolutionary optimization (2015) (15)
Learning Environmental Calibration Actions for Policy Self-Evolution (2018) (15)
Semi-Supervised Optimal Margin Distribution Machines (2018) (15)
Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing (2017) (15)
Molecular phylogeny of ectomycorrhizal Pisolithus fungi associated with pine, dipterocarp, and eucalyptus trees in Thailand (2003) (15)
Rule learning based on neural network ensemble (2002) (15)
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels (2006) (15)
Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning (2017) (15)
Reusable Reinforcement Learning via Shallow Trails (2018) (14)
Mining extremely small data sets with application to software reuse (2009) (14)
Examining spectral space of complex networks with positive and negative links (2012) (14)
Non-Metric Label Propagation (2009) (14)
Multi-Label Active Learning from Crowds (2015) (14)
Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression (2013) (14)
One-Pass Multi-View Learning (2015) (14)
A Simple Online Algorithm for Competing with Dynamic Comparators (2020) (14)
Multi-label optimal margin distribution machine (2019) (14)
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions (2019) (14)
Machine learning challenges and impact: an interview with Thomas Dietterich (2017) (14)
Towards Cost-Sensitive Learning for Real-World Applications (2011) (13)
Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective (2019) (13)
On the consistency of AUC Optimization (2012) (13)
Cost-Sensitive Learning (2011) (13)
𝓁1-regression with Heavy-tailed Distributions (2018) (13)
Domestic and CITES regulations controlling the international snake trade in China (2013) (13)
Semi-naive Exploitation of One-Dependence Estimators (2009) (13)
Exploratory Machine Learning with Unknown Unknowns (2020) (13)
Intelligence Science and Big Data Engineering (2017) (13)
Towards Convergence Rate Analysis of Random Forests for Classification (2022) (12)
The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System (2002) (12)
Ensembles of Multi-Instance Neural Networks (2004) (12)
Pairwised Specific Distance Learning from Physical Linkages (2015) (12)
Social Learning INTRODUCTION (2010) (12)
Logical Vision: One-Shot Meta-Interpretive Learning from Real Images (2017) (12)
Matrix Co-completion for Multi-label Classification with Missing Features and Labels (2018) (12)
Flexible Transmitter Network (2020) (12)
Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge (2017) (12)
Transductive Optimization of Top k Precision (2015) (12)
Dual Set Multi-Label Learning (2018) (12)
An Approach for Data Filtering Based on Rough Set Theory (2001) (12)
Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns (2006) (11)
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data (2007) (11)
Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search (2018) (11)
Proceedings of the 2013 SIAM International Conference on Data Mining (2013) (11)
On the Resistance of Nearest Neighbor to Random Noisy Labels (2016) (11)
Quantitative Analysis of Nonlinear Embedding (2011) (11)
Disagreement-Based Multi-system Tracking (2012) (10)
Soft Gradient Boosting Machine (2020) (10)
Virtual Creatures Controlled by Developmental and Evolutionary CPM Neural Networks (2003) (10)
Fuzzy-Kernel Learning Vector Quantization (2004) (10)
Social Stream Classification with Emerging New Labels (2018) (10)
Optimizing Ratio of Monotone Set Functions (2017) (10)
Learning with Feature and Distribution Evolvable Streams (2020) (10)
A framework for modeling positive class expansion with single snapshot (2010) (10)
Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face (2004) (10)
A Simple Homotopy Algorithm for Compressive Sensing (2015) (10)
Harmonic Recurrent Process for Time Series Forecasting (2020) (9)
A unified SWSI-KAMs framework and performance evaluation on face recognition (2005) (9)
Heterogeneous Few-Shot Model Rectification With Semantic Mapping (2020) (9)
Taxonomic and phylogenetic relationships among the genera of the True Citrus Fruit Trees Group (Aurantioideae, Rutaceae) based on AFLP markers (2008) (9)
Neighbor Line-Based Locally Linear Embedding (2006) (9)
Prediction With Unpredictable Feature Evolution (2019) (9)
Differentially Private Learning with Small Public Data (2020) (9)
Crowdsourcing with unsure option (2016) (9)
Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II (2019) (9)
Improve Web Search Using Image Snippets (2006) (9)
RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift (2020) (9)
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization (2021) (9)
Machine learning: recent progress in China and beyond (2018) (8)
Unlabeled Data and Multiple Views (2011) (8)
Strongly Adaptive Regret Implies Optimally Dynamic Regret (2017) (8)
Mining typhoon knowledge with neural networks (1999) (8)
Approximation Stability and Boosting (2010) (8)
Partially Supervised Learning (2013) (8)
Advances in Knowledge Discovery and Data Mining (2015) (8)
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits (2022) (8)
Boosting and margin theory (2012) (8)
On the Consistency of Exact and Approximate Nearest Neighbor with Noisy Data (2016) (8)
An Unbiased Risk Estimator for Learning with Augmented Classes (2019) (8)
AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online (2023) (8)
Dependency Bagging (2005) (7)
Artificial intelligence in medicine in China (2004) (7)
Learnability of multi-instance multi-label learning (2012) (7)
Budget Semi-supervised Learning (2009) (7)
Special edition on semi-supervised learning for visual content analysis and understanding (2011) (7)
Location semantics prediction for living analytics by mining smartphone data (2014) (7)
No-Regret Learning in Time-Varying Zero-Sum Games (2022) (7)
Improving Deep Forest by Screening (2020) (7)
Intelligence Science and Big Data Engineering. Image and Video Data Engineering (2015) (7)
Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms (2018) (7)
Towards Analyzing Recombination Operators in Evolutionary Search (2010) (7)
Transactions on Systems , Man , and Cybernetics – Part B : Cybernetics 2 when (7)
S4VM: Safe Semi-Supervised Support Vector Machine (2010) (7)
On Algorithm-Dependent Boundary Case Identification for Problem Classes (2012) (7)
Storage Fit Learning with Unlabeled Data (2017) (6)
Uniform Convergence, Stability and Learnability for Ranking Problems (2013) (6)
Unorganized Malicious Attacks Detection (2016) (6)
Entropy-Inspired Competitive Clustering Algorithms (2007) (6)
On the Size of Training Set and the Benefit from Ensemble (2004) (6)
Imitation Learning from Pixel-Level Demonstrations by HashReward (2019) (6)
Applications of Data Mining in E-Business and Finance (2008) (6)
Model Reuse With Reduced Kernel Mean Embedding Specification (2020) (6)
A Refined Margin Distribution Analysis for Forest Representation Learning (2019) (6)
Launch of the NSFC Excellent Young Scholars Forum (2016) (5)
Multi-label Selective Ensemble (2015) (5)
Robust Design Space Modeling (2015) (5)
Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques (2015) (5)
Event Stream Processing (2009) (5)
eXtensible Stylesheet Language Transformations (2009) (5)
EnhancedPictorial Structures for Precise Eye Localization Under Uncontrolled Conditions (2009) (5)
Meta-game Equilibrium for Multi-agent Reinforcement Learning (2004) (5)
Generation of Comprehensible Hypotheses from Gene Expression Data (2006) (5)
A new species, Pisolithus abditus, an ectomycorrhizal fungus associated with Dipterocarps in Thailand (2003) (5)
Towards Understanding Theoretical Advantages of Complex-Reaction Networks (2021) (5)
Multiple Classifier Systems : 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings (2013) (5)
Development of polymorphic microsatellite markers in a perennial herbaceous plant, Polygonum cuspidatum (Polygonaceae) (2001) (5)
Trends and Applications in Knowledge Discovery and Data Mining (2014) (5)
Progressive Principal Component Analysis (2004) (5)
Applications of Data Mining in E-Business Finance: Introduction (2008) (5)
Reconstruction-based Anomaly Detection with Completely Random Forest (2021) (4)
The kth, Median and Average Margin Bounds for AdaBoost (2010) (4)
Mining Ambiguous Data with Multi-instance Multi-label Representation (2007) (4)
Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation (2019) (4)
On the noise estimation statistics (2021) (4)
Towards Enabling Learnware to Handle Unseen Jobs (2021) (4)
Advances in Knowledge Discovery and Data Mining, 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings (2007) (4)
Uncontrolled Face Recognition by Individual Stable Neural Network (2006) (4)
Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision (2017) (4)
A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions (2016) (4)
Storage Fit Learning with Feature Evolvable Streams (2020) (4)
Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach (2015) (4)
Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical Guarantees (2021) (4)
Analysis of Nuclear Norm Regularization for Full-rank Matrix Completion (2015) (4)
Optimal Margin Distribution Network (2018) (4)
Isolation Distributional Kernel: A New Tool for Point and Group Anomaly Detections (2020) (4)
Varied Priority-Based Data Forwarding via NDN in VANET (2019) (4)
Bifurcation Spiking Neural Network (2019) (4)
Online game props recommendation with real assessments (2017) (3)
Distribution-Free OnePass Learning (2019) (3)
Model reuse with domain knowledge (2017) (3)
Spiculated Lesion Detection in Digital Mammogram Based on Artificial Neural Network Ensemble (2005) (3)
Selective Ensemble (2019) (3)
Classifier Ensemble with Unlabeled Data (2009) (3)
Designing Rewards for Fast Learning (2022) (3)
Mining Bulletin Board Systems Using Community Generation (2008) (3)
\ell_1-regression with Heavy-tailed Distributions (2018) (3)
Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I (2019) (3)
Improving generalization of deep neural networks by leveraging margin distribution (2018) (3)
Exploiting remote learners in Internet environment with agents (2010) (3)
Stochastic Proximal Gradient Descent for Nuclear Norm Regularization (2015) (3)
A Survey on Age Estimation Techniques (2017) (3)
Subset Selection (2019) (3)
Improve Computer-Aided Diagnosis With Machine (2007) (3)
Projection Incorporated Subspace Method for Face Recognition (2001) (3)
Feature Selection for High Dimensional Face Image Using Self-organizing Maps (2005) (3)
Boosting-Based Reliable Model Reuse (2020) (3)
Proofs of the Theorems (2010) (3)
Structured Sparsity with Group-Graph Regularization (2015) (3)
On the Robustness of Nearest Neighbor with Noisy Data (2016) (3)
Expert-Level Atari Imitation Learning from Demonstrations Only (2019) (2)
PRICAI 2008: Trends in Artificial Intelligence 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008, ... / Lecture Notes in Artificial Intelligence) (2008) (2)
Towards Identifying Causal Relation Between Instances and Labels (2019) (2)
Transductive Multi-Label Learning via Alpha Matting (2009) (2)
Napping for functional representation of policy (2014) (2)
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness (2019) (2)
Partially Supervised Learning: Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers (2013) (2)
Learning Expected Hitting Time Distance (2016) (2)
Cost-effectively Identifying Causal Effects When Only Response Variable is Observable (2020) (2)
2 0 N ov 2 01 7 Maximizing Non-monotone / Non-submodular Functions by Multi-objective Evolutionary Algorithms (2017) (2)
Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms (2017) (2)
FANRE: A Fast Adaptive Neural Regression Estimator (1999) (2)
Preference Based Adaptation for Learning Objectives (2018) (2)
Cites Non-Detrimental Finding for Exporting Rhesus Monkey (Macaca Mulatta) From China (2011) (2)
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values (2021) (2)
Statistical Unfolded Logic Learning (2015) (2)
An Intelligent Medical Image Understanding Method Using Two-Tier Neural Network Ensembles (2005) (2)
Towards One Reusable Model for Various Software Defect Mining Tasks (2019) (2)
The Application of Tolerance Analysis During Engineering Process (2013) (2)
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions (2021) (2)
Guest Editors' introduction to the special issue: machine learning approaches to multimedia information retrieval (2006) (2)
Towards Analyzing Crossover Operators in Evolutionary Search via General Markov Chain Switching Theorem (2011) (2)
Learnability of Non-I.I.D (2016) (2)
Big data and machine learning techniques (2015) (1)
Supplementary Material for Rectify Heterogeneous Models with Semantic Mapping (2018) (1)
Combo-Dimensional Kernels for Graph Classification (2009) (1)
Advances in Knowledge Discovery and Data Mining (2015) (1)
Special issue on the Sino-foreign-interchange workshop on intelligence science and intelligent data engineering (2014) (1)
Solving the Multi-Instance Problem with Neural Networks (2003) (1)
Exploitation of label relationship in multi-label learning (2012) (1)
Condition monitoring of power transformers with neural networks (2001) (1)
Anomaly Guided Policy Learning from Imperfect Demonstrations (2022) (1)
Advances in machine learning : First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009 ; proceedings (2009) (1)
Learning with Augmented Multi-Instance View (2014) (1)
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion (2019) (1)
Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations (2021) (1)
Artificial Neural Networks in Biomedicine - Paulo J.G. Lisboa, Emmanuel C. Ifeachor and Piotr S. Szczepaniak (Eds.), Springer-Verlag, London, 2000, ISBN 1-85233-005-8 (2002) (1)
Neural Networks Based Lithology Identification (2000) (1)
Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima (2021) (1)
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning (2021) (1)
Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence (2008) (1)
Collisions are helpful for computing unique input-output sequences (2011) (1)
Analyzing Magnification Factors and Principal Spread Directions in Manifold Learning (2004) (1)
Evolutionary Algorithms as Guaranteed Approximation Optimizers (2010) (1)
Subset Selection: Acceleration (2019) (1)
Shaping Reward Learning Approach from Passive Samples: Shaping Reward Learning Approach from Passive Samples (2014) (1)
Developing Microsatellite Markers using of Inter-simple Sequence Repeat (ISSR) (2001) (1)
Reinforcement Learning Experience Reuse with Policy Residual Representation (2019) (1)
Structural diversity for decision tree ensemble learning (2018) (1)
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval (2012) (1)
Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge (2022) (1)
A Region‐Based Analysis for the Feature Concatenation in Deep Forests (2022) (1)
Launch of the NSFC Excellent Young Scholars Forum (2015) (0)
Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning (2022) (0)
Introduction: special issue of selected papers from ACML 2014 (2016) (0)
Exploiting Label Relationship in Multi-Label Learning (2013) (0)
Proceedings of the 13th SIAM International Conference on Data Mining, May 2-4, 2013. Austin, Texas, USA (2013) (0)
Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016) (2017) (0)
Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning (2009) (0)
Revised Selected Papers, Part II, of the 5th International Conference on Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques - Volume 9243 (2015) (0)
Learning from distribution-changing data streams via decision tree model reuse (2020) (0)
Event Connection (2009) (0)
Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering (2011) (0)
ETL Process (2009) (0)
ER Model (2009) (0)
Inductive Logic Boosting (2014) (0)
Online game props recommendation with real assessments (2016) (0)
Diffusion tensor imaging for evaluation of lumbar intervertebral discs in adolescent idiopathic scoliosis: a preliminary prospective study (2018) (0)
A conversation with Professor Zhi-Hua Zhou (2012) (0)
L G ] 2 5 O ct 2 01 8 l 1-regression with Heavy-tailed Distributions (2018) (0)
Effects of the optimisation of the margin distribution on generalisation in deep architectures (2017) (0)
Multi-instance multi-label new label learning (2018) (0)
Revised Selected Papers of the PAKDD 2015 Workshops on Trends and Applications in Knowledge Discovery and Data Mining - Volume 9441 (2015) (0)
Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III (2019) (0)
Subset Selection: Noise (2019) (0)
Subset Selection: k-Submodular Maximization (2019) (0)
Supplementary Material : Stochastic Optimization for Kernel PCA (2015) (0)
Sampling based Discrete Supervised Hashing (2015) (0)
Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining (2007) (0)
Supplementary Material: Subset Selection under Noise (2017) (0)
Self-Practice Imitation Learning from Weak Policy (2013) (0)
Crowdsourcing label quality: a theoretical analysis (2015) (0)
Proceedings of the 14th Pacific-Rim Conference on Advances in Multimedia Information Processing PCM 2013 - Volume 8294 (2013) (0)
Variable solution structure can be helpful in evolutionary optimization (2015) (0)
Recombination (2019) (0)
Editorial to the Special Issue of Selected Papers of SDM 2013 (2014) (0)
On the consistency of optimizing AUC (2012) (0)
Semi-SupervisedDimensionalityReduction ∗ (2007) (0)
Adaptive Learning for Weakly Labeled Streams (2022) (0)
[Study on stray light in self-reversal background correction for atomic absorption spectrometry--the properties of stray light and its influence on background correction]. (2009) (0)
Dropout Rademacher complexity of deep neural networks (2016) (0)
Minimal gated unit for recurrent neural networks (2016) (0)
A simple homotopy proximal mapping algorithm for compressive sensing (2014) (0)
Ju l 2 01 9 Bandit Convex Optimization in Non-stationary Environments (2019) (0)
Supplementary Material : Improved Dynamic Regret for Non-degenerate Functions (2017) (0)
Introduction (2019) (0)
Subset Selection: Ratio Minimization (2019) (0)
Semi-Sup ervised Document Retrieval (2008) (0)
Launch of the Excellent Young Computer Scientists Forum (2019) (0)
A Framework for Machine Learning with Ambiguous Objects (2009) (0)
Can Deep Learning Only Be Neural Networks? (2020) (0)
Supplemental Materials of ``Learning with Feature and Distribution Evolvable Streams'' (2020) (0)
Preface (2010) (0)
Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process (2011) (0)
Book review: Artificial Neural Networks in Biomedicine (2002) (0)
Depth is More Powerful than Width with Prediction Concatenation in Deep Forest (2022) (0)
Supplementary Material of “ Dynamic Regret of Strongly Adaptive Methods ” (2018) (0)
Data : Labeler 1 : Labeler 2 : Labeler 3 : Figure (2017) (0)
Advanced Topics : 8.1.1 Usefulness of Unlabeled Data (2012) (0)
Session details: Research track 15: classification algorithms and analyses (2010) (0)
stage one Observed Anomalies Unlabeled Instances Cluster Filter Potential Anomalies (2018) (0)
Supplementary Material of "CUR Algorithm for Partially Observed Matrices" (2011) (0)
Launch of the Excellent Young Computer Scientists Forum (2019) (0)
A spectral approach to detecting subtle anomalies in graphs (2013) (0)
SUPPLEMENT TO Deep Forest : Towards an Alternative to Deep Neural Networks (2017) (0)
Facial Age Estimation by Total Ordering Preserving Projection (2016) (0)
Adapting to Online Label Shift with Provable Guarantees (2022) (0)
Intelligent Science and Intelligent Data Engineering (2012) (0)
Improve Prediction with Remote Learners in Internet Environment (2005) (0)
The role of prostatitis in the occurrence and development of prostate cancer and its treatment (2019) (0)
Weak Evolvability Equals Strong Evolvability (2009) (0)
Efficiently Learning Nonlinear Classifiers for Domain Specific Performance Measures (2010) (0)
Approximation Analysis: SEIP (2019) (0)
Non-Parametric Kernel Learning with robust pairwise constraints (2011) (0)
Running Time Analysis: Switch Analysis (2019) (0)
Running Time Analysis: Comparison and Unification (2019) (0)
Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016) (2017) (0)
No Much Doubt about Margin Explanation of Boosting (2010) (0)
Decomposition-based Pareto optimization for subset selection (2016) (0)
Abductive learning: towards bridging machine learning and logical reasoning (2019) (0)
Preliminaries (2018) (0)
Margin Distribution Analysis (2021) (0)
Completely Determined Known at Test Phrase Unknown at Test Phrase , but Some Information is Known Completely Unknown Impreciseness of Costs Previous CSL (2010) (0)
Representation (2019) (0)
Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution (2022) (0)
Sample-based software defect prediction with active and semi-supervised learning (2011) (0)
Editorial: special issue on selected papers of PAKDD 2007 (2009) (0)
Inaccurate Fitness Evaluation (2019) (0)
Introduction: special issue of selected papers from ACML 2015 (2017) (0)
Boundary Problems of EAs (2019) (0)
Running Time Analysis: Convergence-based Analysis (2019) (0)
Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models (2019) (0)
Introduction to the Special Section on Distance Metric Learning in Intelligent Systems (2012) (0)
Forest Representation Learning Guided by Margin Distribution (2019) (0)
Image retrieval based on the combination of color and keyword (2003) (0)
Multi-Label Classification with Relevance Ordering (2011) (0)
Generalized Low-Rank Approximations (2010) (0)
Kernel method for matrix completion with side information and its application in multi-label learning (2017) (0)
Guest Editorial to the Special Issue on Advances of Artificial Intelligence and Knowledge Engineering in China (2007) (0)
Supplementary Material of “ Learning with Feature Evolvable Streams ” (2017) (0)
Crowd intelligence in AI 2.0 era (2017) (0)
Supplementary Materials for Dual Set Multi-Label Learning (2017) (0)
Efficient Optimization of Performance Measures (2013) (0)
Supplementary Material : Label Distribution Learning by Optimal Transport (2018) (0)
Advances in Multimedia Information Processing - PCM 2013 : 14th Pacific-Rim Conference on Multimedia, Nanjing, China, December 13-16, 2013. Proceedings (2013) (0)
Supplementary Material of “ Speedup Matrix Completion with Side Information : Application to Multi-Label Learning ” (2013) (0)
Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining (2007) (0)

This paper list is powered by the following services:

Other Resources About Zhou Zhi-Hua

en.wikipedia.org

What Schools Are Affiliated With Zhou Zhi-Hua?

Zhou Zhi-Hua is affiliated with the following schools:

Image Attributions

Image Source for Zhou Zhi-Hua