Novel Optimization Models for Abnormal Brain Activity Classification

By W. A. Chaovalitwongse, Y. Fan, Rajesh C. Sachdeo. 2008

32 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Economics and Econometrics, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Amaya Nogales-Gómez
2. Dolores Romero Morales
3. Emilio Carrizosa

In Economics and Econometrics

1. Amaya Nogales-Gómez
2. Dolores Romero Morales
3. Emilio Carrizosa
4. Abdur Rais
5. Ana Viana

In Signal Processing

1. Amaya Nogales-Gómez
2. Dolores Romero Morales
3. Emilio Carrizosa

Citations in the corpus

• Strongly agree or strongly disagree?: Rating features in Support Vector Machines (2016, background): “…Romero Morales (2013) for a recent review on Mathematical Optimization and the SVM, and Bertsimas et al. (2008), Brooks (2011), Cecchini et al. (2010), Chaovalitwongse et al. (2008), Guyon et al. (2002), Martens et al. (2007), Romero Morales and Wang (2010) for successful applications of the SVM.”
• Optimal randomized classification trees (2021, neutral): “Extracting knowledge from data is a crucial task in Statistics and Machine Learning, which has applications in areas such as Biomedicine [1, 2], Criminal Justice [3, 4, 5], Fraud Detection [6], Privacy Protection [7], Health Care [8, 9, 10, 11], Risk Management [12, 13], Social Networks [14], and Co”
• Operations Research in Healthcare: a survey (2011, background): “Brain activity is also addressed by Chaovalitwongse et al. (2006) and Chaovalitwongse et al. (2008).”
• Clustering Categories in Support Vector Machines (2017, methodology): “See [4, 9, 13, 17, 21] for successful applications of the SVM and [8] for a recent review on Mathematical Optimization and the SVM.”
• Supervised classification and mathematical optimization (2013, background): “…of gene expression data [102] [245], homology detection [143], protein-protein interaction prediction [28] [171], abnormal brain activity classification [55] and cancer diagnosis [110] [165]; Machine Vision [75] [188]; Agriculture [179]; or Chemistry [60], to cite a few fields and references.”