Aria Pezeshk

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All published works

Action	Title	Year	Authors
+ PDF Chat	Mapping DNN Embedding Manifolds for Network Generalization Prediction	2023	Molly O’Brien Brett Wolfinger Julia V. Bukowski Mathias Unberath Aria Pezeshk Greg Hager
+	Mapping DNN Embedding Manifolds for Network Generalization Prediction	2022	Molly T. O'Brien Julia V. Bukowski Mathias Unberath Aria Pezeshk Greg Hager
+	Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution	2018	Alexej Gossmann Aria Pezeshk Berkman Sahiner
+ PDF Chat	Calibration of medical diagnostic classifier scores to the probability of disease	2016	Wei-Jie Chen Berkman Sahiner F. W. Samuelson Aria Pezeshk Nicholas Petrick
+	Comparison of two stand-alone CADe systems at multiple operating points	2015	Berkman Sahiner Weijie Chen Aria Pezeshk Nicholas Petrick

Common Coauthors

Coauthor	Papers Together
Berkman Sahiner	3
Nicholas Petrick	2
Mathias Unberath	2
Julia V. Bukowski	2
Greg Hager	2
Brett Wolfinger	1
Molly T. O'Brien	1
Weijie Chen	1
Alexej Gossmann	1
Wei-Jie Chen	1
Molly O’Brien	1
F. W. Samuelson	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	The Statistical Evaluation of Medical Tests for Classification and Prediction	2005	Margaret S. Pepe	2
+	The Statistical Evaluation of Medical Tests for Classification and Prediction	2003	Margaret S. Pepe	2
+	The reusable holdout: Preserving validity in adaptive data analysis	2015	Cynthia Dwork Vitaly Feldman Moritz Hardt Toniann Pitassi Omer Reingold Aaron Roth	1
+	On the Dangers of Cross-Validation. An Experimental Evaluation	2008	R. Bharat Rao Glenn Fung Rómer Rosales	1
+	One weird trick for parallelizing convolutional neural networks	2014	Alex Krizhevsky	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	The Ladder: A Reliable Leaderboard for Machine Learning Competitions	2015	Avrim Blum Moritz Hardt	1
+ PDF Chat	Preserving Statistical Validity in Adaptive Data Analysis	2015	Cynthia Dwork Vitaly Feldman Moritz Hardt Toniann Pitassi Omer Reingold Aaron Roth	1
+	A Step-Up Multiple Test Procedure	1992	Charles W. Dunnett Ajit C. Tamhane	1
+	The area above the ordinal dominance graph and the area below the receiver operating characteristic graph	1975	Donald Bamber	1
+	The Net Reclassification Index (NRI): A Misleading Measure of Prediction Improvement Even with Independent Test Data Sets	2014	Margaret S. Pepe Jing Fan Ziding Feng Thomas A. Gerds Jørgen Hilden	1
+ PDF Chat	An Empirical Distribution Function for Sampling with Incomplete Information	1955	Miriam Ayer H. D. Brunk George M. Ewing Willam T. Reid Edward Silverman	1
+	Hochberg's Step-Up Method: Cutting Corners Off Holm's Step-Down Method	2007	Yifan Huang Ju‐Chun Hsu	1
+	Effects of sample size in classifier design	1989	Keinosuke Fukunaga R.R. Hayes	1
+	Comparison of Methods for Estimating the Number of True Null Hypotheses in Multiplicity Testing	2003	Huey‐Miin Hsueh James J. Chen Ralph L. Kodell	1
+	Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data	1998	Charles E. Metz B. Herman Jong-Her Shen	1
+	A note on the evaluation of novel biomarkers: do not rely on integrated discrimination improvement and net reclassification index	2013	Jørgen Hilden Thomas A. Gerds	1
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	1
+	A sharper Bonferroni procedure for multiple tests of significance	1988	Yosef Hochberg	1
+	Assessing the Performance of Prediction Models	2009	Ewout W. Steyerberg Andrew J. Vickers Nancy R. Cook Thomas A. Gerds Mithat Gönen Nancy A. Obuchowski Michael Pencina Michael W. Kattan	1
+	A Simple Sequentially Rejective Multiple Test Procedure	1979	Sture Holm	1
+	Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates	2016	Anders Eklund Thomas E. Nichols Hans Knutsson	1
+ PDF Chat	Use and Misuse of the Receiver Operating Characteristic Curve in Risk Prediction	2007	Nancy R. Cook	1
+	Algorithmic stability for adaptive data analysis	2016	Raef Bassily Kobbi Nissim Adam Smith Thomas Steinke Uri Stemmer Jonathan Ullman	1
+	Controlling Bias in Adaptive Data Analysis Using Information Theory	2016	Daniel Russo James Zou	1
+	Step-Up Multiple Testing of Parameters with Unequally Correlated Estimates	1995	Charles W. Dunnett Ajit C. Tamhane	1
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	1
+	A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks	2016	Dan Hendrycks Kevin Gimpel	1
+	A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks	2018	Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin	1
+	Predictive Inequity in Object Detection	2019	Benjamin Wilson Judy Hoffman Jamie Morgenstern	1
+	Microsoft COCO: Common Objects in Context	2014	Tsung-Yi Lin Michael Maire Serge Belongie Lubomir Bourdev Ross Girshick James Hays Pietro Perona Deva Ramanan C. Lawrence Zitnick Piotr Dollár	1
+ PDF Chat	Cross-validation failure: Small sample sizes lead to large error bars	2017	Gaël Varoquaux	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+	Adaptive Learning with Robust Generalization Guarantees	2016	Rachel Cummings Katrina Ligett Kobbi Nissim Aaron Roth Zhiwei Steven Wu	1
+	Hidden stratification causes clinically meaningful failures in machine learning for medical imaging	2020	Luke Oakden‐Rayner Jared Dunnmon Gustavo Carneiro Christopher Ré	1
+	Multivariate Classification Rules: Calibration and Discrimination	2005	Christopher H. Schmid John L. Griffith	1
+ PDF Chat	The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions	2018	Philipp Tschandl Cliff Rosendahl Harald Kittler	1
+ PDF Chat	A patient-centric dataset of images and metadata for identifying melanomas using clinical context	2021	Veronica Rotemberg Nicholas R. Kurtansky Brigid Betz‐Stablein Liam J Caffery Emmanouil Chousakos Noel Codella Marc Combalia Stephen W. Dusza Pascale Guitera David Gutman	1
+ PDF Chat	Dependable Neural Networks for Safety Critical Tasks	2020	Molly O’Brien William M. Goble Greg Hager Julia V. Bukowski	1
+ PDF Chat	MOOD: Multi-level Out-of-distribution Detection	2021	Ziqian Lin Sreya Dutta Roy Yixuan Li	1
+ PDF Chat	Are Labels Always Necessary for Classifier Accuracy Evaluation?	2021	Weijian Deng Liang Zheng	1
+ PDF Chat	Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains	2022	Molly O’Brien Mike Medoff Julia V. Bukowski Greg Hager	1
+ PDF Chat	Predicting with Confidence on Unseen Distributions	2021	Devin Guillory Vaishaal Shankar Sayna Ebrahimi Trevor Darrell Ludwig Schmidt	1
+ PDF Chat	Zero-Shot Day-Night Domain Adaptation with a Physics Prior	2021	Attila Lengyel Sourav Garg Michael Milford Jan C. van Gemert	1
+	Understanding Why Generalized Reweighting Does Not Improve Over ERM	2022	Runtian Zhai Dan Chen Zico Kolter Pradeep Ravikumar	1
+	Statistical Methods in Diagnostic Medicine	2002	Xiao‐Hua Zhou Nancy A. Obuchowski Donna K. McClish	1
+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani	1
+	Detecting Adversarial Samples from Artifacts	2017	Reuben Feinman Ryan R. Curtin Saurabh Shintre Andrew B. Gardner	1
+	Regularization Paths for Generalized Linear Models via Coordinate Descent	2010	Jerome H. Friedman Trevor Hastie Robert Tibshirani	1
+	Generalization for Adaptively-chosen Estimators via Stable Median	2017	Vitaly Feldman Thomas Steinke	1