Sha Lu

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Logram: Efficient Log Parsing Using n-Gram Dictionaries 2020 Hetong Dai
Heng Li
Che Shao Chen
Weiyi Shang
Tse-Hsun Chen
2
+ Quantile Regression Forests 2006 Nicolai Meinshausen
1
+ Interpreting and Unifying Outlier Scores 2011 Hans‐Peter Kriegel
Peer Kröger
Erich Schubert
Arthur Zimek
1
+ <i>Outliers in Statistical Data</i> 1979 V. Barnett
T. Lewis
Francine Abeles
1
+ PDF Chat Angle-based outlier detection in high-dimensional data 2008 Hans‐Peter Kriegel
Matthias Schubert
Arthur Zimek
1
+ A survey on unsupervised outlier detection in high‐dimensional numerical data 2012 Arthur Zimek
Erich Schubert
Hans‐Peter Kriegel
1
+ Robustness of random forests for regression 2012 Marie-HĂ©lĂšne Roy
Denis Larocque
1
+ LoOP 2009 Hans‐Peter Kriegel
Peer Kröger
Erich Schubert
Arthur Zimek
1
+ PDF Chat Outlier Detection in Arbitrarily Oriented Subspaces 2012 Hans‐Peter Kriegel
Peer Kröger
Erich Schubert
Arthur Zimek
1
+ Ridge Regression: Biased Estimation for Nonorthogonal Problems 2000 Arthur E. Hoerl
Robert W. Kennard
1
+ Feature bagging for outlier detection 2005 Aleksandar Lazarević
Vipin Kumar
1
+ Regularization Paths for Generalized Linear Models via Coordinate Descent. 2010 Jerome H. Friedman
Trevor Hastie
Rob Tibshirani
1
+ Theoretical Foundations and Algorithms for Outlier Ensembles 2015 CharĆł C. Aggarwal
Saket Sathe
1
+ Misc Functions of the Department of Statistics, ProbabilityTheory Group (Formerly: E1071), TU Wien 2015 David Meyer
Evgenia Dimitriadou
Kurt Hornik
Andreas Weingessel
Friedrich Leisch
1
+ PDF Chat A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data 2009 Ke Zhang
Marcus HĂŒtter
Huidong Jin
1
+ Learning Bayesian Networks with the<b>bnlearn</b><i>R</i>Package 2010 Marco Scutari
1
+ Efficient algorithms for mining outliers from large data sets 2000 Sridhar Ramaswamy
Rajeev Rastogi
Kyuseok Shim
1
+ Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation 2010 Constantin Aliferis
Alexander Statnikov
Ioannis Tsamardinos
Subramani Mani
Xenofon Koutsoukos
1
+ Regression Shrinkage and Selection Via the Lasso 1996 Robert Tibshirani
1
+ PDF Chat Converting Output Scores from Outlier Detection Algorithms into Probability Estimates 2006 Jing Gao
Pang‐Ning Tan
1
+ Outliers in Statistical Data. 1995 Anthony C. Atkinson
V. Barnett
T. Lewis
1
+ A Meta-Analysis of the Anomaly Detection Problem 2015 Andrew Emmott
Shubhomoy Das
Thomas G. Dietterich
Alan Fern
Weng‐Keen Wong
1
+ Forest-type Regression with General Losses and Robust Forest 2017 Alexander Hanbo Li
Andrew J Martin
1
+ A Unified View of Causal and Non-causal Feature Selection 2018 Kui Yu
Lin Liu
Jiuyong Li
1
+ Concave Penalized Estimation of Sparse Gaussian Bayesian Networks 2014 Bryon Aragam
Qing Zhou
1
+ FSinR: an exhaustive package for feature selection 2020 Francisco AragĂłn-RoyĂłn
Alfonso Jiménez-Vílchez
Antonio AraĂșzo-Azofra
José M. Benítez
1
+ Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics 2020 Shilin He
Jieming Zhu
Pinjia He
Michael R. Lyu
1
+ PDF Chat Feature Selection: A Data Perspective 2017 Jundong Li
Kewei Cheng
Suhang Wang
Fred Morstatter
Robert P. Treviño
Jiliang Tang
Huan Liu
1
+ Log-based Anomaly Detection Without Log Parsing 2021 Van-Hoang Le
Hongyu Zhang
1
+ PDF Chat Log-based Anomaly Detection Without Log Parsing 2021 Van-Hoang Le
Hongyu Zhang
1
+ Robust regression trees based on M-estimators 2013 Giuliano Galimberti
Marilena Pillati
Gabriele Soffritti
1
+ PDF Chat A decomposition of the outlier detection problem into a set of supervised learning problems 2015 Heiko Paulheim
Robert Meusel
1