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» Anomaly Detection Using Visualization and Machine Learning
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140
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ISBI
2002
IEEE
16 years 4 months ago
Support vector machine learning for detection of microcalcifications in mammograms
Microcalcification (MC) clusters in mammograms can be an indicator of breast cancer. In this work we propose for the first time the use of support vector machine (SVM) learning fo...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
130
Voted
AAAI
2008
15 years 6 months ago
A Case Study on the Critical Role of Geometric Regularity in Machine Learning
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
Jason Gauci, Kenneth O. Stanley
132
Voted
ISBI
2008
IEEE
16 years 4 months ago
Flexible synapse detection in fluorescence micrographs by modeling human expert grading
A particularly difficult task in molecular imaging is the analysis of fluorescence microscopy images of neural tissue, as they usually exhibit a high density of objects with diffu...
Julia Herold, Manuela Friedenberger, Marcus Bode, ...
153
Voted
CHI
2009
ACM
16 years 4 months ago
EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers
Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...
Justin Talbot, Bongshin Lee, Ashish Kapoor, Desney...
113
Voted
ICALT
2007
IEEE
15 years 10 months ago
Integrating Dynamic Program Visualization into BlueJ: the Jeliot 3 Extension
Previous research on program visualization tools has suggested that both static and dynamic aspects of the program shall be shown to novice students. We attempted to expand the st...
Niko Myller, Roman Bednarik, Andrés Moreno