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Receiver operating characteristic
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21	2013 IEEE Intelligent Vehicles Symposium (IV) June 23-26, 2013, Gold Coast, Australia Design and implementation of a high performance pedestrian detection Antonio Prioletti1 , Paolo Grisleri2 , Mohan M. Trivedi3 and Albe Add to Reading List Source URL: cvrr.ucsd.edu Language: English - Date: 2013-07-08 00:37:28 Feature detection Statistical classification Face recognition Pedestrian detection Surveillance ViolaJones object detection framework Cascading classifiers Support vector machine Edge detection Receiver operating characteristic Histogram of oriented gradients Computer-aided diagnosis
22	An Empirical Study of Just-in-Time Defect Prediction using Cross-Project Models 1 Takafumi Fukushima1 , Yasutaka Kamei1 , Shane McIntosh2 , Add to Reading List Source URL: posl.ait.kyushu-u.ac.jp Language: English - Date: 2014-03-29 02:44:51 Survival analysis Biostatistics Data mining Detection theory Receiver operating characteristic Statistical classification Cross-validation Prediction Ensemble learning Reliability engineering Regression analysis
23	/home/takeuchi/shogi-ec-quiesce.ps Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:38 Game artificial intelligence Electronic games Monte Carlo methods Combinatorial game theory Monte Carlo tree search Stochastic simulation Computer Go UCT Elo rating system Receiver operating characteristic Evaluation Computer chess
24	What Is the Added Value of Negative Links in Online Social Networks? Jérôme Kunegis Julia Preusse Add to Reading List Source URL: userpages.uni-koblenz.de Language: English - Date: 2013-03-14 09:56:42 Mathematics Graph theory Statistics Network theory Networks Google Search PageRank Search engine optimization Centrality Signed graph Receiver operating characteristic Prediction
25	Applying an Interactive Machine Learning Approach to Statutory Analysis a,b,1 , Gaurav TRIVEDI a and Kevin D. ASHLEY a,b,c ˇ Jarom´ır SAVELKA a Intelligent Systems Program, University of Pittsburgh, USA Add to Reading List Source URL: www.trivedigaurav.com Language: English - Date: 2015-12-10 18:47:57 Information science Information retrieval Information Information retrieval evaluation Data mining Natural language processing Knowledge representation Receiver operating characteristic Document classification Data analysis Relevance feedback Precision and recall
26	Classifying Skewed Data: Importance Weighting to Optimize Average Recall Andrew Rosenberg1 1 Department of Computer Science, Queens College (CUNY), Flushing, NY, USA Add to Reading List Source URL: speech.cs.qc.cuny.edu Language: English - Date: 2012-10-22 02:42:52 Statistical classification Machine learning Ensemble learning Data mining K-nearest neighbors algorithm Multiclass classification Boosting Pitch accent Support vector machine AdaBoost Receiver operating characteristic Binary classification
27	A Data-driven Metric for Comprehensive Evaluation of Saliency Models Jia Li1,2∗ , Changqun Xia1 , Yafei Song1 , Shu Fang3 , Xiaowu Chen1∗ 1 State Key Laboratory of Virtual Reality Technology and Systems, School of Co Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2015-10-24 14:56:31 Neuroscience Neuropsychology Nervous system Statistical classification Computer vision Image processing Saliency map Attention Receiver operating characteristic Metric Binary classification Amphetamine
28	A Lazy Man’s Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration Peter Welinder‡ Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-04-11 10:56:51 Estimation theory Statistical classification Statistical inference Maximum likelihood Confidence interval Receiver operating characteristic Conjugate prior Gamma distribution Supervised learning Statistics Machine learning Biostatistics
29	Pattern Recognition – 3021 Rapid and brief communication www.elsevier.com/locate/patcog Add to Reading List Source URL: www.tiberiocaetano.com Language: English - Date: 2008-05-10 06:34:39 Data mining Cluster analysis Mixture model Segmentation Statistical model Receiver operating characteristic Color model Expectation–maximization algorithm Statistics Image processing Machine learning
30	A Framework for Constructing Benchmark Databases and Protocols for Retinopathy in Medical Image Analysis Tomi Kauppia , Joni-Kristian Kamarainenab , Lasse Lensua , Valentina Kalesnykienec , Iiris Sorric , Hannu Uusitalod Add to Reading List Source URL: personal.lut.fi Language: English - Date: 2012-09-19 03:43:23 Computing Diabetes Data mining Machine learning Graphics file formats Diabetic retinopathy Segmentation Retina Receiver operating characteristic Statistics Image processing Science