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Intrinsically Interpretable Machine Learning In Computer Aided Diagnosis
Sreejita S. Ghosh
Intelligent Systems
Research output
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Thesis
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Thesis fully internal (DIV)
840
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Dive into the research topics of 'Intrinsically Interpretable Machine Learning In Computer Aided Diagnosis'. Together they form a unique fingerprint.
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Computer Science
Vector Quantization
100%
Aided Diagnosis
100%
Interpretable Machine Learning
100%
Interpretability
40%
Geodesics
20%
Decision Boundary
20%
Medical Knowledge
20%
Random Decision Forest
20%
Synthetic Datasets
20%
Keyphrases
Rank Metric
20%
Medical Knowledge Extraction
20%
Class Imbalance
20%
Relevance Computing
20%
Classifier Confidence
20%