Charles Ling | Academic Influence

Charles Ling's AcademicInfluence.com Rankings

Charles Ling

Computer Science

#2952

World Rank

#3091

Historical Rank

Machine Learning

#1223

World Rank

#1243

Historical Rank

Artificial Intelligence

#1346

World Rank

#1373

Historical Rank

Computational Linguistics

#2590

World Rank

#2615

Historical Rank

computer-science Degrees

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Computer Science

Charles Ling's Degrees

PhD Computer Science University of British Columbia
Masters Computer Science University of British Columbia
Bachelors Computer Science University of British Columbia

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Why Is Charles Ling Influential?

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According to Wikipedia, Charles X. Ling is a computer scientist who specializes in research on Data Mining and Machine Learning. He obtained his BSc from Shanghai Jiao Tong University in 1985, and PhD from University of Pennsylvania in 1989.

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Charles Ling'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

Using AUC and accuracy in evaluating learning algorithms (2005) (1533)
Data Mining for Direct Marketing: Problems and Solutions (1998) (785)
AUC: a Statistically Consistent and more Discriminating Measure than Accuracy (2003) (535)
AUC: A Better Measure than Accuracy in Comparing Learning Algorithms (2003) (380)
DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization (2010) (364)
Pelee: A Real-Time Object Detection System on Mobile Devices (2018) (325)
Decision trees with minimal costs (2004) (300)
Comparing naive Bayes, decision trees, and SVM with AUC and accuracy (2003) (248)
Cost-Sensitive Learning and the Class Imbalance Problem (2008) (240)
"Missing is useful": missing values in cost-sensitive decision trees (2005) (225)
Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization (2011) (222)
Thresholding for Making Classifiers Cost-sensitive (2006) (164)
Test-cost sensitive naive Bayes classification (2004) (159)
A real-coded biogeography-based optimization with mutation (2010) (159)
Cost-Sensitive Learning (2009) (156)
pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometry (2005) (144)
Answering the connectionist challenge: a symbolic model of learning the past tenses of English verbs (1993) (141)
Discriminative parameter learning for Bayesian networks (2008) (139)
A clustering-based differential evolution for global optimization (2011) (132)
Test strategies for cost-sensitive decision trees (2006) (128)
Extracting Actionable Knowledge from Decision Trees (2007) (108)
Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry (2004) (108)
Reviewer Recommender of Pull-Requests in GitHub (2014) (100)
Postprocessing decision trees to extract actionable knowledge (2003) (90)
When Does Cotraining Work in Real Data? (2011) (83)
Keyphrase Extraction Using Semantic Networks Structure Analysis (2006) (82)
Improving Top-N Recommendation for Cold-Start Users via Cross-Domain Information (2015) (74)
Decision Tree with Better Ranking (2003) (73)
Test-cost sensitive classification on data with missing values (2006) (69)
Feature value acquisition in testing: a sequential batch test algorithm (2006) (65)
Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models (1993) (60)
Machine learning for stock selection (2007) (59)
Fast Generalized Distillation for Semi-Supervised Domain Adaptation (2017) (57)
Mining optimal actions for profitable CRM (2002) (54)
Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration (2014) (53)
When does Co-training Work in Real Data? (2009) (53)
Semi-supervised Self-training for Sentence Subjectivity Classification (2008) (44)
Constructing New and Better Evaluation Measures for Machine Learning (2007) (44)
Constructive Inductive Logic Programming (1993) (40)
Inverting Implication with Small Training Sets (1994) (40)
An Improved Learning Algorithm for Augmented Naive Bayes (2001) (40)
The Representational Power of Discrete Bayesian Networks (2003) (38)
Learning good prototypes for classification using filtering and abstraction of instances (2002) (37)
Cost-Sensitive Test Strategies (2006) (35)
Hybrid Cost-Sensitive Decision Tree (2005) (33)
Active Learning with Human-Like Noisy Oracle (2010) (33)
Simple Test Strategies for Cost-Sensitive Decision Trees (2005) (32)
Inductive Learning from Good Examples (1991) (32)
Toward Bayesian Classifiers with Accurate Probabilities (2002) (32)
PeakSelect: preprocessing tandem mass spectra for better peptide identification. (2008) (30)
Active Learning for Hierarchical Text Classification (2012) (29)
Learning Contextual Dependency Network Models for Link-Based Classification (2006) (27)
Semi‐Supervised Learning in Reconstructed Manifold Space for 3D Caricature Generation (2009) (27)
The Learnability of Naive Bayes (2000) (26)
Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms (1997) (25)
Mining Software Profile across Multiple Repositories for Hierarchical Categorization (2013) (25)
Roulette Sampling for Cost-Sensitive Learning (2007) (24)
Asking Generalized Queries to Domain Experts to Improve Learning (2010) (23)
Maximum profit mining and its application in software development (2006) (23)
A Symbolic Model of the Nonconscious Acquisition of Information (1994) (22)
Software Escalation Prediction with Data Mining (2004) (21)
Active learning with direct query construction (2008) (21)
Class Imbalance Problem (2010) (20)
Cost-Sensitive Decision Trees with Pre-pruning (2007) (20)
The Convergence Behavior of Naive Bayes on Large Sparse Datasets (2015) (19)
ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design (2006) (19)
Clustering-based factorized collaborative filtering (2013) (19)
A decision-tree model of balance scale development (2004) (19)
Measuring Similarity Based on Link Information: A Comparative Study (2013) (18)
Learning Recursive Relations with Randomly Selected Small Training Sets (1994) (18)
Some discussions about MOGAs: individual relations, non-dominated set, and application on automatic negotiation (2004) (17)
Predicting software escalations with maximum ROI (2005) (16)
Data Sparseness in Linear SVM (2015) (16)
Tag recommendation for open source software (2014) (16)
DomPep—A General Method for Predicting Modular Domain-Mediated Protein-Protein Interactions (2011) (16)
A New Generalized Error Path Algorithm for Model Selection (2015) (16)
Advanced Data Mining and Applications (ADMA) (2008) (16)
A Decision-Tree Model of Balance Scale Development (1996) (15)
Artificial Aging of Faces by Support Vector Machines (2004) (15)
Learnability of Augmented Naive Bayes in Nonimal Domains (2001) (15)
Overfitting and generalization in learning discrete patterns (1995) (14)
Leveraging clustering to improve collaborative filtering (2018) (14)
A Comparative Study of Cost-Sensitive Classifiers (2007) (13)
Triply Stochastic Gradients on Multiple Kernel Learning (2017) (13)
Adapting New Categories for Food Recognition with Deep Representation (2015) (13)
Improving Encarta Search Engine Performance by Mining User Logs (2002) (13)
Discovering Classification from Data of Multiple Sources (2006) (12)
Partial example acquisition in cost-sensitive learning (2007) (12)
Active Learning with Generalized Queries (2009) (12)
Supervised Learning with Minimal Effort (2010) (11)
GlucoGuide: An Intelligent Type-2 Diabetes Solution Using Data Mining and Mobile Computing (2014) (11)
A Fundamental Issue of Naive Bayes (2003) (10)
A Multi-objective Genetic Algorithm Based on Quick Sort (2004) (10)
Geometric Properties of Naive Bayes in Nominal Domains (2001) (10)
Active Learning with c-Certainty (2012) (10)
Learning to Control Dynamic Systems with Automatic Quantization (1993) (10)
A New Search Engine Integrating Hierarchical Browsing and Keyword Search (2011) (9)
Efficient Action Extraction with Many-to-Many Relationship between Actions and Features (2011) (9)
Learning Prosodic Patterns for Mandarin Speech Synthesis (2000) (9)
Mining generalized query patterns from web logs (2001) (9)
Refinement of Uncertain Rule Bases via Reduction (1995) (8)
Effective Top-Down Active Learning for Hierarchical Text Classification (2013) (8)
Learning Singly-Recursive Relations from Small Datasets 1 (1993) (8)
Core set analysis in inconsistent decision tables (2013) (8)
Alignment Algorithms for Learning to Read Aloud (1997) (7)
Active Teaching for Inductive Learners (2011) (7)
Customized classification learning based on query projections (2007) (7)
Self-Directed Learner (2010) (7)
Mining web logs for actionable knowledge (2004) (7)
Evaluating Model Selection Abilities of Performance Measures (2006) (6)
Hybrid differential evolution based on fuzzy C-means clustering (2009) (6)
Mobile-based food classification for Type-2 Diabetes using nutrient and textual features (2014) (6)
Learning Sentence Embeddings for Coherence Modelling and Beyond (2018) (6)
Possibilistic decision trees for Intrusion Detection in IEC61850 automated substations (2009) (6)
A Deeper Look at Bongard Problems (2020) (6)
Adapting cost-sensitive learning for reject option (2010) (6)
Proper Model Selection with Significance Test (2008) (6)
Clustering-Based Matrix Factorization (2013) (5)
A New Method to Construct the Non-Dominated Set in Multi-Objective Genetic Algorithms (2004) (5)
Setting Attribute Weights for Nearest Neighour Learning Algorithms Using C4.5 (1997) (5)
IndexToolkit: an open source toolbox to index protein databases for high-throughput proteomics (2006) (5)
Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 1 (2005) (5)
Rank Measures for Ordering (2005) (5)
Foundation of Mining Class-Imbalanced Data (2012) (5)
A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution (2009) (4)
A Symbolic Model for Learning the Past-Tenses of English Verbs (1993) (4)
Learning via Prototype Generation and Filtering (2001) (4)
Numeric mapping and learnability of naive bayes (2003) (4)
Grapheme Generation in Learning to Read English Words (1998) (3)
The convergence of linear classifiers on large sparse data (2018) (3)
Customized Generalization of Support Patterns for Classification (2006) (3)
Ensemble Learning With Attention-Integrated Convolutional Recurrent Neural Network for Imbalanced Speech Emotion Recognition (2020) (3)
Catching Attention with Automatic Pull Quote Selection (2020) (3)
Few-Shot Abstract Visual Reasoning With Spectral Features (2019) (3)
Extracting Academic Activity Transaction in Chinese Documents (2014) (3)
A Unified Framework for Lifelong Learning in Deep Neural Networks (2019) (3)
A Deep Learning Framework for Lifelong Machine Learning (2021) (3)
A Multi-Objective Genetic Algorithm Based on Density (2007) (2)
Dynamic Ensemble Re-Construction for Better Ranking (2005) (2)
Asking Generalized Queries to Ambiguous Oracle (2010) (2)
Introducing new predicates to model scientific revolution (1995) (2)
Effective Multiclass Transfer for Hypothesis Transfer Learning (2017) (2)
Decisive Supervised Learning (2013) (2)
Neural Sentence Location Prediction for Summarization (2018) (2)
Proceedings of the 12th IEEE International Conference on Data Mining Workshops (ICDMW), IEEE, 2012 (2012) (1)
Learning with Guaranteed Label Quality (2011) (1)
ICDMW 2012 : the 12th IEEE International Conference on Data Mining Workshops, Brussels, Belgium, December 10, 2012 (2012) (1)
Co-Training on Handwritten Digit Recognition (2009) (1)
Cognitive agents and multiagent interaction (2003) (1)
Intelligent Protein 3D Structure Retrieval System (2003) (1)
Complex Adaptive System (2010) (1)
Application of Machine Learning to Short-Term Equity Return Prediction (2006) (1)
Leveraging clustering to improve collaborative filtering (2016) (1)
Tackling Non-forgetting and Forward Transfer with a Unified Lifelong Learning Approach (2020) (1)
Direct Marketing with Fewer Mistakes (2011) (1)
A Conceptual Framework for Lifelong Learning (2019) (1)
Learning Classifications from Multiple Sources of Unsupervised Data (1996) (1)
Partial ensemble classifiers selection for better ranking (2005) (1)
A Kernel-Based Case Retrieval Algorithm with Application to Bioinformatics (2004) (1)
Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2 (2005) (1)
Towards Optimal Attribute Weight Setting for 1-Nearest Neighbor Learning Algorithms (2007) (1)
Click-Through Rate (CTR) (2010) (1)
Introduction to special issue on machine learning for business applications (2011) (1)
An optimal model with a lower bound of recall for imbalanced speech emotion recognition (2020) (1)
Crafting Your Research Future: A Guide to Successful Master's and Ph.D. Degrees in Science & Engineering (2012) (1)
of the Nonconscious Acquisition A Symbolic Model (1994) (0)
A Nonlinear Scoring Framework for Peptide Identification via Tandem Mass Spectrometry (2004) (0)
Advances in Knowledge Discovery and Data Mining (2012) (0)
Learning to Control with Automatic (2005) (0)
From Machine Learning to Child Learning (2009) (0)
Artiicial Intelligence for Improving Children's Thinking (1999) (0)
1 Learning good prototypes for classication usingltering and abstraction of instances (2001) (0)
Introduction to the Special Issue of Advanced Data Mining and Applications (2010) (0)
Learning Full Pitch Variation Patterns with NeuralNets (1999) (0)
Discovery of classifications from data of multiple sources (2003) (0)
Asking Generalized Queries with Minimum Cost (2011) (0)
Representational Upper Bounds of Bayesian Networks (2002) (0)
Preface to nining and understanding from big data (2013) (0)
Constructing Ensembles for Better Ranking (2006) (0)
Towards a Unified Lifelong Learning Framework (2020) (0)
Finding Pitch Var iation Patterns Quantitatively and More Precisely (2007) (0)

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