Source

International Conference on Machine Learning and Applications

Source type: conference

Fully OA: No

DOAJ: No

OpenAlex ID: S4306419645

Enhanced recursive feature elimination

2007 · Xue-wen Chen, Jong Cheol Jeong · International Conference on Machine Learning and Applications · 422

Predicting Dark Triad Personality Traits from Twitter Usage and a Linguistic Analysis of Tweets

2012 · Chris Sumner, Alison Byers, et al. · International Conference on Machine Learning and Applications · 277

American Sign Language Recognition Using Leap Motion Sensor

2014 · Ching-Hua Chuan, Eric Regina, et al. · International Conference on Machine Learning and Applications · 225

Multimodal Music Mood Classification Using Audio and Lyrics

2008 · Cyril Laurier, Jens Grivolla, et al. · International Conference on Machine Learning and Applications · 208

An Evaluation of Machine Learning Methods to Detect Malicious SCADA Communications

2013 · Justin M. Beaver, Raymond C. Borges-Hink, et al. · International Conference on Machine Learning and Applications · 196

Robust Support Vector Machines for Anomaly Detection in Computer Security.

2003 · Wenjie Hu, Yi‐Hua Liao, et al. · International Conference on Machine Learning and Applications · 188

Cost Sensitive Credit Card Fraud Detection Using Bayes Minimum Risk

2013 · Alejandro Correa Bahnsen, Aleksandar Stojanovic, et al. · International Conference on Machine Learning and Applications · 180

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Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous

2008 · Mike Gashler, Christophe Giraud-Carrier, et al. · International Conference on Machine Learning and Applications · 156

TF-ICF: A New Term Weighting Scheme for Clustering Dynamic Data Streams

2006 · Joel Reed, Yu Jiao, et al. · International Conference on Machine Learning and Applications · 147

Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring

2014 · Alejandro Correa Bahnsen, Djamia Aouada, et al. · International Conference on Machine Learning and Applications · 142

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Comparison of Evaluation Metrics in Classification Applications with Imbalanced Datasets

2008 · Mehrdad Fatourechi, Rabab K. Ward, et al. · International Conference on Machine Learning and Applications · 128

Rethinking Automatic Chord Recognition with Convolutional Neural Networks

2012 · Eric J. Humphrey, Juan P. Bello · International Conference on Machine Learning and Applications · 119

A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction

2010 · Huanjing Wang, Taghi M. Khoshgoftaar, et al. · International Conference on Machine Learning and Applications · 119

Blood Glucose Level Prediction Using Physiological Models and Support Vector Regression

2013 · Razvan Bunescu, Nigel Struble, et al. · International Conference on Machine Learning and Applications · 108

Evaluation of SMOTE for High-Dimensional Class-Imbalanced Microarray Data

2012 · Rok Blagus, Lara Lusa · International Conference on Machine Learning and Applications · 105

Estimating class probabilities in random forests

2007 · Henrik Bostrom · International Conference on Machine Learning and Applications · 101

Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets

2010 · Drausin Wulsin, Justin Blanco, et al. · International Conference on Machine Learning and Applications · 98

Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification

2006 · Sampath Deegalla, Henrik Bostrom · International Conference on Machine Learning and Applications · 95

Horizon Detection Using Machine Learning Techniques

2006 · Sergiy Fefilatyev, Volha Smarodzinava, et al. · International Conference on Machine Learning and Applications · 93

Learning with limited minority class data

2007 · Taghi M. Khoshgoftaar, Chris Seiffert, et al. · International Conference on Machine Learning and Applications · 91

One-Class versus Binary Classification: Which and When?

2012 · Colin Bellinger, Shiven Sharma, et al. · International Conference on Machine Learning and Applications · 90

An Application of Latent Dirichlet Allocation to Analyzing Software Evolution

2008 · Erik Linstead, Cristina Lopes, et al. · International Conference on Machine Learning and Applications · 88

Adaptive Localization through Transfer Learning in Indoor Wi-Fi Environment

2008 · Zhuo Sun, Yiqiang Chen, et al. · International Conference on Machine Learning and Applications · 85

A Comparison of Supervised Machine Learning Techniques for Predicting Short-Term In-Hospital Length of Stay among Diabetic Patients

2014 · April Morton, Eman Marzban, et al. · International Conference on Machine Learning and Applications · 84

Multi-Agent Inverse Reinforcement Learning

2010 · Sriraam Natarajan, Gautam Kunapuli, et al. · International Conference on Machine Learning and Applications · 83

Works count: 2,264

Citation count: 17,360

H-index: 54

I10-index: 474

2yr mean citedness: 1.15