Citation Impact
Citing Papers
A study of cross-validation and bootstrap for accuracy estimation and model selection
1995 Standout
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
2010 Standout
Decision tree pruning: biased or optimal?
1994
Characterizing the generalization performance of model selection strategies
1997
Oversearching and layered search in empirical learning
1995
Feature subset selection using the wrapper method: overfltting and dynamic search space topology
1995
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020 Standout
VaxiJen: a server for prediction of protective antigens, tumour antigens and subunit vaccines
2007 Standout
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
2015 Standout
How persuasive is a good fit? A comment on theory testing.
2000
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning
2021
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
2005 Standout
Big data and machine learning algorithms for health-care delivery
2019 Standout
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability
1997
Deep learning for healthcare applications based on physiological signals: A review
2018
Tracking-Learning-Detection
2011 Standout
Deep learning in neural networks: An overview
2014 Standout
Determining and forecasting drought susceptibility in southwestern Iran using multi-criteria decision-making (MCDM) coupled with CA-Markov model
2021 Standout
Simplifying decision trees: A survey
1997
A System for Induction of Oblique Decision Trees
1994
Technical note: Bias and the quantification of stability
1995
Knowledge-based artificial neural networks
1994
Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)
2000 Standout
Learning from Imbalanced Data
2009 Standout
Associative Reinforcement Learning: Functions in k-DNF
1994
Feature selection for classification
1997 Standout
Automated reverse engineering of nonlinear dynamical systems
2007
Correlation-based Feature Selection for Machine Learning
1998 Standout
An introduction to ROC analysis
2005 Standout
Feature Selection with theBorutaPackage
2010 Standout
Metric-Based Methods for Adaptive Model Selection and Regularization
2002
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
2009 Standout
Wrappers for feature subset selection
1997 Standout
Improved Generalization via Tolerant Training
1998
Application of infrared thermography for predictive/preventive maintenance of thermal defect in electrical equipment
2013
A tutorial on support vector regression
2004 Standout
Infrared thermography (IRT) applications for building diagnostics: A review
2014 Standout
Ensemble-based classifiers
2009 Standout
Data clustering
1999 Standout
Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
2013 Standout
Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm
1995
A Decision Support System for market-driven product positioning and design
2014
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
2018 Standout
A few useful things to know about machine learning
2012 Standout
Data mining with an ant colony optimization algorithm
2002
Inductive policy: The pragmatics of bias selection
1995
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
1993
AUC: a misleading measure of the performance of predictive distribution models
2007 Standout
The use of the area under the ROC curve in the evaluation of machine learning algorithms
1997 Standout
Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory
2013 Standout
The random subspace method for constructing decision forests
1998 Standout
The class imbalance problem: A systematic study1
2002 Standout
SMOTE: Synthetic Minority Over-sampling Technique
2002 Standout
No free lunch theorems for optimization
1997 Standout
Bayesian Network Classifiers
1997 Standout
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
1998
Reinforcement Learning: A Survey
1996 Standout
A review of methods for the assessment of prediction errors in conservation presence/absence models
1997 Standout
Semi-Supervised Learning
2006 Standout
Data Mining: Practical Machine Learning Tools and Techniques
2011 Standout
The Role of Occam's Razor in Knowledge Discovery
1999
Mathematical Programming in Data Mining
1997
Improved Heterogeneous Distance Functions
1997
Data clustering: 50 years beyond K-means
2009 Standout
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
2016 Standout
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
2016 Standout
A tutorial on spectral clustering
2007 Standout
Data mining: concepts and techniques
2012 Standout
An efficient k-means clustering algorithm: analysis and implementation
2002 Standout
Pruning Decision Trees and Lists
2000
Distilling Free-Form Natural Laws from Experimental Data
2009 StandoutScience
A Survey on Human Activity Recognition using Wearable Sensors
2012 Standout
Gene Selection for Cancer Classification using Support Vector Machines
2002 Standout
Machine Learning for Information Extraction in Informal Domains
2000
A review of feature selection techniques in bioinformatics
2007 Standout
The Lack of A Priori Distinctions Between Learning Algorithms
1996
Works of Cullen Schaffer being referenced
Sparse data and the effect of overfitting avoidance in decision tree induction
1992
Selecting a classification method by cross-validation
1993
Overfitting avoidance as bias
1993
Overfitting Avoidance as Bias
1993
Technical Note: Selecting a Classification Method by Cross-Validation
1993