Kevin S. Hughes

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All published works

Action	Title	Year	Authors
+ PDF Chat	Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical Literature	2023	A. González Kevin S. Hughes Songhui Yue Sean T. Hayes
+ PDF Chat	Combining Breast Cancer Risk Prediction Models	2023	Zoe Guan Theodore Huang Anne Marie McCarthy Kevin S. Hughes Alan Semine Hajime Uno Lorenzo Trippa Giovanni Parmigiani Danielle Braun
+	Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical Literature	2023	A. González Songhui Yue Sean T. Hayes Kevin S. Hughes
+	Reinforcing a Philosophy: A counting approach to square functions over local fields	2022	Kirsti D. Biggs Julia Brandes Kevin S. Hughes
+	Subcritical paucity and $\ell^p$-improving estimates for finite-type polynomial curves	2022	Kevin S. Hughes
+	Improved bounds on number fields of small degree	2022	Theresa C. Anderson Ayla Gafni Kevin S. Hughes Robert J. Lemke Oliver David Lowry-Duda Frank Thorne Jiuya Wang Ruixiang Zhang
+	A decoupling interpretation of an old argument for Vinogradov's Mean Value Theorem	2022	Brian J. Cook Kevin S. Hughes Zane Kun Li Akshat Mudgal Olivier Robert Po‐Lam Yung
+	Reinforcing a Philosophy: Littlewood--Paley theory for the moment curve over generic local fields	2022	Kevin S. Hughes
+	On the inhomogeneous Vinogradov system	2021	Julia Brandes Kevin S. Hughes
+	Combining Breast Cancer Risk Prediction Models	2020	Zoe Guan Theodore Huang Anne Marie McCarthy Kevin S. Hughes Alan Semine Hajime Uno Lorenzo Trippa Giovanni Parmigiani Danielle Braun
+	Semi-Automating Knowledge Base Construction for Cancer Genetics	2020	Somin Wadhwa Kanhua Yin Kevin S. Hughes Byron Wallace
+	Some subcritical estimates for the $\ell^p$-improving problem for discrete curves	2020	Spyridon Dendrinos Kevin S. Hughes Marco Vitturi
+ PDF Chat	Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes	2019	Yujia Bao Zhengyi Deng Yan Wang Heeyoon Kim Victor Diego Armengol Francisco Acevedo Nofal Ouardaoui Cathy Wang Giovanni Parmigiani Regina Barzilay
+	Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes	2019	Yujia Bao Zhengyi Deng Yan Wang Heeyoon Kim Victor Diego Armengol Francisco Acevedo Nofal Ouardaoui Cathy Wang Giovanni Parmigiani Regina Barzilay
+	Ask2Me VarHarmonizer: A Python-Based Tool to Harmonize Variants from Cancer Genetic Testing Reports and Map them to the ClinVar Database	2019	Yuxi Liu Kanhua Yin Basanta Lamichhane John F. Sandbach Gayle Patel Gia Compagnoni Richard H. Kanak Barry P. Rosen David P. Ondrula Linda Smith
+	Discrete restriction for $(x,x^3)$ and related topics	2019	Kevin S. Hughes Trevor D. Wooley
+	Bounds for Lacunary maximal functions given by Birch--Magyar averages	2019	Brian J. Cook Kevin S. Hughes
+	$\ell^p$-improving for discrete spherical averages	2018	Kevin S. Hughes
+	On the ergodic Waring--Goldbach problem	2017	Theresa C. Anderson Brian J. Cook Kevin S. Hughes Angel Kumchev
+	Discrete restriction estimates of epsilon-removal type for kth-powers and k-paraboloids	2016	Kevin Henriot Kevin S. Hughes
+	The discrete spherical averages over a family of sparse sequences	2016	Kevin S. Hughes
+	Problems and Results related to Waring's problem: Maximal functions and ergodic averages	2013	Kevin S. Hughes

Common Coauthors

Coauthor	Papers Together
Giovanni Parmigiani	5
Danielle Braun	5
Alan Semine	3
Brian J. Cook	3
Lorenzo Trippa	2
Hajime Uno	2
Yan Wang	2
Theresa C. Anderson	2
Songhui Yue	2
Victor Diego Armengol	2
Julia Brandes	2
Francisco Acevedo	2
Anne Marie McCarthy	2
Kanhua Yin	2
Zoe Guan	2
Yujia Bao	2
Cathy Wang	2
Regina Barzilay	2
A. González	2
Heeyoon Kim	2
Sean T. Hayes	2
Theodore Huang	2
Zhengyi Deng	2
Nofal Ouardaoui	2
Linda Smith	1
Robert J. Lemke Oliver	1
Olivier Robert	1
Gayle Patel	1
Kevin Henriot	1
Gia Compagnoni	1
Linsey Gold	1
Eric Brown	1
Samuel Lyons	1
David P. Ondrula	1
Yuxi Liu	1
Jiuya Wang	1
Zane Kun Li	1
Basanta Lamichhane	1
Pat W. Whitworth	1
Akshat Mudgal	1
Angel Kumchev	1
Colleen App	1
Byron Wallace	1
Melford Allan C. Lazarte	1
Frank Thorne	1
David Euhus	1
Spyridon Dendrinos	1
Barry P. Rosen	1
Somin Wadhwa	1
Richard H. Kanak	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Diversity versus Quality in Classification Ensembles Based on Feature Selection	2000	Pádraig Cunningham John G. Carney	2
+ PDF Chat	Reducing Workload in Systematic Review Preparation Using Automated Citation Classification	2005	Aaron Cohen William Hersh Kimberly Peterson P.-Y. Yen	2
+	Convolutional Neural Networks for Sentence Classification	2014	Yoon Kim	2
+	Consistent Estimation of the Expected Brier Score in General Survival Models with Right‐Censored Event Times	2006	Thomas A. Gerds Martin Schumacher	2
+	Evaluating Prediction Rules for<i>t</i>-Year Survivors With Censored Regression Models	2007	Hajime Uno Tianxi Cai Lü Tian L. J. Wei	2
+ PDF Chat	Popular Ensemble Methods: An Empirical Study	1999	David W. Opitz Richard Maclin	2
+	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	2
+ PDF Chat	On the C‐statistics for evaluating overall adequacy of risk prediction procedures with censored survival data	2011	Hajime Uno Tianxi Cai Michael Pencina Ralph B. D’Agostino L. J. Wei	2
+	A theoretical study on six classifier fusion strategies	2002	Ludmila I. Kuncheva	2
+	Validation and updating of predictive logistic regression models: a study on sample size and shrinkage	2004	Ewout W. Steyerberg Gerard Borsboom Hans C. van Houwelingen Marinus J.C. Eijkemans J. Dik F. Habbema	2
+ PDF Chat	Assessing the Clinical Impact of Risk Prediction Models With Decision Curves: Guidance for Correct Interpretation and Appropriate Use	2016	Kathleen F. Kerr Marshall Brown Kehao Zhu Holly Janes	2
+ PDF Chat	Rationale-Augmented Convolutional Neural Networks for Text Classification	2016	Ye Zhang Iain Marshall Byron Wallace	2
+ PDF Chat	Risk Models for Breast Cancer and Their Validation	2020	Adam R. Brentnall Jack Cuzick	2
+	A Least-squares Approach to Direct Importance Estimation	2009	KanamoriTakafumi HidoShohei SugiyamaMasashi	1
+	A Convolutional Neural Network for Modelling Sentences	2014	Nal Kalchbrenner Edward Grefenstette Phil Blunsom	1
+ PDF Chat	Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies	2022	Nicolas Matentzoglu Damien Goutte-Gattat Shawn Zheng Kai Tan James P. Balhoff Seth Carbon Anita R. Caron William D. Duncan Joe E Flack Melissa Haendel Nomi L. Harris	1
+ PDF Chat	Bagging predictors	1996	Leo Breiman	1
+	Character-level Convolutional Networks for Text Classification	2015	Xiang Zhang Junbo Zhao Yann LeCun	1
+ PDF Chat	Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests	2016	Andrew J. Vickers Ben Van Calster Ewout W. Steyerberg	1
+	Super Learner	2007	Mark J. van der Laan Eric C. Polley Alan Hubbard	1
+	Causal Models	2016		1
+ PDF Chat	Deriving Machine Attention from Human Rationales	2018	Yujia Bao Shiyu Chang Mo Yu Regina Barzilay	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+ PDF Chat	Theory and applications of proper scoring rules	2014	Alexander Philip Dawid Monica Musio	1
+ PDF Chat	Putting Risk Prediction in Perspective: Relative Utility Curves	2009	Stuart G. Baker	1
+	Decision Theory	2009	Giovanni Parmigiani Lurdes Y. T. Inoue Hedibert F. Lopes	1
+ PDF Chat	BioBERT: a pre-trained biomedical language representation model for biomedical text mining	2019	Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang	1
+	A Proportional Hazards Model for the Subdistribution of a Competing Risk	1999	Jason P. Fine Malcolm H. Ray	1
+	Deriving Machine Attention from Human Rationales	2018	Yujia Bao Shiyu Chang Mo Yu Regina Barzilay	1
+	Predicting cumulative incidence probability by direct binomial regression	2008	Thomas Scheike M.-J. Zhang Thomas A. Gerds	1
+	Statistical methods for Mendelian models with multiple genes and cancers	2022	Jane W. Liang Gregory Idos Christine Hong Stephen B. Gruber Giovanni Parmigiani Danielle Braun	1
+	A Least-squares Approach to Direct Importance Estimation	2009	Takafumi Kanamori Shohei Hido Masashi Sugiyama	1
+	SciBERT: A Pretrained Language Model for Scientific Text	2019	Iz Beltagy Kyle Lo Arman Cohan	1