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Machine Learning, ISSN 0885-6125, 11/2019, Volume 108, Issue 11, pp. 1879 - 1917
Journal Article
Computers & Industrial Engineering, ISSN 0360-8352, 04/2014, Volume 70, Issue 1, pp. 134 - 149
•We defined the control chart pattern recognition problem as a highly imbalanced supervised learning problem.•We used cost sensitive learning for the control... 
Imbalanced data | Control chart | Pattern recognition | Weighted support vector machine | Classification | Quality control | IDENTIFY | ARTIFICIAL NEURAL-NETWORK | SHIFTS | TIME | IDENTIFICATION | FEATURES | EXTRACTION | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | DECISION TREE | SYSTEMS | ENGINEERING, INDUSTRIAL
Journal Article
Annals of Operations Research, ISSN 0254-5330, 2/2017, Volume 249, Issue 1, pp. 235 - 271
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2015, Volume 51, Issue 1, pp. 2683 - 2687
Solving optimization models (including parameters fitting) for support vector machines on large-scale training data is often an expensive computational task.... 
classification | scalable support vector machines | multilevel techniques | Multilevel techniques | Classification | Scalable support vector machines
Journal Article
Journal Article
Surgery for Obesity and Related Diseases, ISSN 1550-7289, 2016, Volume 12, Issue 7, pp. S125 - S125
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 07/2020, Volume 150, p. 113275
•We discussed practical challenges for control chart pattern recognition problem.•We developed a convolutional neural network to address imbalancedness and... 
Imbalanced data | Control chart pattern recognition | Time-series classification | Convolutional neural network | SYSTEM | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
01/2019
In this work, we investigate the importance of ethnicity in colorectal cancer survivability prediction using machine learning techniques and the SEER cancer... 
Journal Article
Computers & industrial engineering, ISSN 0360-8352, 04/2014, Volume 70, p. 134
  Manual inspection and evaluation of quality control data is a tedious task that requires the undistracted attention of specialized personnel. On the other... 
Studies | Product quality | Fault diagnosis | Quality control | Control charts | Manufacturers | Real time
Journal Article
2018 IEEE International Conference on Big Data (Big Data), 12/2018, pp. 2554 - 2558
In this work, we investigate the importance of ethnicity in colorectal cancer survivability prediction using machine learning techniques and the SEER cancer... 
Training | Sociology | Machine learning | Predictive models | imbalanced classification | SEER | Data models | Cancer survivability prediction | Statistics | Cancer | personalized medicine
Conference Proceeding
10/2014
Solving different types of optimization models (including parameters fitting) for support vector machines on large-scale training data is often an expensive... 
Journal Article
Optimization Letters, ISSN 1862-4472, 06/2017, Volume 11, Issue 5, pp. 915 - 928
Supervised learning consists in developing models able to distinguish data that belong to different categories (classes). When data are available in different... 
Imbalanced data | Cost-sensitive learning | Relaxed support vector machines | Bagging | Class noise | Classification | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | NOISE | Analysis | Business schools
Journal Article
Surgery for Obesity and Related Diseases, ISSN 1550-7289, 08/2016, Volume 12, Issue 7, pp. S125 - S125
Journal Article
2015 18th International Conference on Information Fusion (Fusion), 07/2015, pp. 774 - 781
In medical domain, data features often contain missing values. This can create serious bias in the predictive modeling. Typical standard data mining methods... 
Support vector machines | Training | Medical services | Predictive models | Prediction algorithms | Mathematical model | Standards
Conference Proceeding
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, 07/2015, pp. 774 - 781
In medical domain, data features often contain missing values. This can create serious bias in the predictive modeling. Typical standard data mining methods... 
Maximization | Conferences | Production methods | Multilevel | Classification | Standard data | Benchmarking | Mathematical models
Journal Article
03/2015
In medical domain, data features often contain missing values. This can create serious bias in the predictive modeling. Typical standard data mining methods... 
Journal Article
11/2016
The support vector machine is a flexible optimization-based technique widely used for classification problems. In practice, its training part becomes... 
Journal Article
12/2016, ISBN 9781522517597, Volume 1, 11
Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes... 
Computer Science and Information Technology | Artificial Intelligence | Industrial applications
Book Chapter
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