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Deep Residual Learning for Image Recognition
Kaiming He; Xiangyu Zhang; Shaoqing Ren; Jian Sun
218,154
2016
https://doi.org/10.1109/cvpr.2016.90
https://openalex.org/W2194775991
Random Forests
Leo Breiman
122,540
2001
https://doi.org/10.1023/a:1010933404324
https://openalex.org/W2911964244
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Yoav Benjamini; Yosef Hochberg
107,090
1995
https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
https://openalex.org/W2110065044
Long Short-Term Memory
Sepp Hochreiter; Jürgen Schmidhuber
95,860
1997
https://doi.org/10.1162/neco.1997.9.8.1735
https://openalex.org/W2064675550
Basic local alignment search tool
Stephen F. Altschul; Warren Gish; Webb Miller; Eugene W. Myers; David J. Lipman
93,834
1990
https://doi.org/10.1016/s0022-2836(05)80360-2
https://openalex.org/W2055043387
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger; Philipp Fischer; Thomas Brox
86,968
2015
https://doi.org/10.1007/978-3-319-24574-4_28
https://openalex.org/W1901129140
Adam: A Method for Stochastic Optimization
Diederik P. Kingma; Jimmy Ba
84,660
2014
https://doi.org/10.48550/arxiv.1412.6980
https://openalex.org/W1522301498
The theory of planned behavior
Icek Ajzen
82,858
1991
https://doi.org/10.1016/0749-5978(91)90020-t
https://openalex.org/W2099697766
Deep learning
Yann LeCun; Yoshua Bengio; Geoffrey E. Hinton
79,845
2015
https://doi.org/10.1038/nature14539
https://openalex.org/W2919115771
ImageNet classification with deep convolutional neural networks
Alex Krizhevsky; Ilya Sutskever; Geoffrey E. Hinton
75,671
2017
https://doi.org/10.1145/3065386
https://openalex.org/W2163605009
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan; Andrew Zisserman
75,502
2014
https://doi.org/10.48550/arxiv.1409.1556
https://openalex.org/W1686810756
MizAR 60 for Mizar 50
Jakubův, Jan; Chvalovský, Karel; Goertzel, Zarathustra; Kaliszyk, Cezary; Olšák, Mirek; Piotrowski, Bartosz; Schulz, Stephan; Suda, Martin; Urban, Josef
74,881
2023
https://doi.org/10.4230/lipics.itp.2023.19
https://openalex.org/W4385245566
Common method biases in behavioral research: A critical review of the literature and recommended remedies.
Philip M. Podsakoff; Scott MacKenzie; Jeong Yeon Lee; Nathan P. Podsakoff
74,371
2003
https://doi.org/10.1037/0021-9010.88.5.879
https://openalex.org/W2106096361
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Stephen F. Altschul
74,244
1997
https://doi.org/10.1093/nar/25.17.3389
https://openalex.org/W2158714788
Fiji: an open-source platform for biological-image analysis
Johannes Schindelin; Ignacio Arganda‐Carreras; Erwin Frise; Verena Kaynig; Mark Longair; Tobias Pietzsch; Stephan Preibisch; Curtis Rueden; Stephan Saalfeld; Benjamin Schmid; Jean-Yves Tinévez; Daniel J. White; Volker Hartenstein; Kevin W. Eliceiri; Pavel Tomančák; Albert Cardona
69,394
2012
https://doi.org/10.1038/nmeth.2019
https://openalex.org/W2167279371
VMD: Visual molecular dynamics
William Humphrey; Andrew Dalke; Klaus Schulten
65,276
1996
https://doi.org/10.1016/0263-7855(96)00018-5
https://openalex.org/W2029667189
Scikit-learn: Machine Learning in Python
Fabián Pedregosa; Gaël Varoquaux; Alexandre Gramfort; Vincent Michel; Bertrand Thirion; Olivier Grisel; Mathieu Blondel; Müller, Andreas; Nothman, Joel; Louppe, Gilles; Peter Prettenhofer; Ron J. Weiss; Vincent Dubourg; Jake Vanderplas; Alexandre Passos; David Cournapeau; Matthieu Brucher; Matthieu Perrot; Édouard Duch...
63,556
2012
https://doi.org/10.48550/arxiv.1201.0490
https://openalex.org/W2101234009
ImageNet: A large-scale hierarchical image database
Jia Deng; Wei Dong; Richard Socher; Li-Jia Li; Kai Li; Li Fei-Fei
60,867
2009
https://doi.org/10.1109/cvpr.2009.5206848
https://openalex.org/W2108598243
The neighbor-joining method: a new method for reconstructing phylogenetic trees.
Naruya Saitou; M Nei
60,341
1987
https://doi.org/10.1093/oxfordjournals.molbev.a040454
https://openalex.org/W2097706568
Gradient-based learning applied to document recognition
Yann LeCun; Léon Bottou; Yoshua Bengio; Patrick Haffner
57,352
1998
https://doi.org/10.1109/5.726791
https://openalex.org/W2112796928
Image quality assessment: from error visibility to structural similarity
Zhou Wang; Alan C. Bovik; Hamid R. Sheikh; Eero P. Simoncelli
54,931
2004
https://doi.org/10.1109/tip.2003.819861
https://openalex.org/W2133665775
Distinctive Image Features from Scale-Invariant Keypoints
David Lowe
54,914
2004
https://doi.org/10.1023/b:visi.0000029664.99615.94
https://openalex.org/W2151103935
Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
Paul Shannon; Andrew Markiel; Owen Ozier; Nitin S. Baliga; Jonathan T. Wang; Daniel Ramage; Nada Amin; Benno Schwikowski; Trey Ideker
53,464
2003
https://doi.org/10.1101/gr.1239303
https://openalex.org/W2159675211
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren; Kaiming He; Ross Girshick; Jian Sun
53,242
2016
https://doi.org/10.1109/tpami.2016.2577031
https://openalex.org/W639708223
Regression Shrinkage and Selection Via the Lasso
Robert Tibshirani
51,116
1996
https://doi.org/10.1111/j.2517-6161.1996.tb02080.x
https://openalex.org/W2135046866
Chen, Kuan-Lin; Schulman, Rebecca
50,147
2021
https://doi.org/10.4230/lipics.cp.2021.42
https://openalex.org/W2964121744
Genetic algorithms in search, optimization, and machine learning
49,332
1989
https://doi.org/10.5860/choice.27-0936
https://openalex.org/W3023540311
MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0
Koichiro Tamura; Glen Stecher; Daniel S. Peterson; Alan Filipski; Sudhir Kumar
47,766
2013
https://doi.org/10.1093/molbev/mst197
https://openalex.org/W2152207030
Fuzzy sets
Lotfi A. Zadeh
47,146
1996
https://openalex.org/W2912565176
Particle swarm optimization
James Kennedy; R.C. Eberhart
46,980
2002
https://doi.org/10.1109/icnn.1995.488968
https://openalex.org/W2152195021
A fast and elitist multiobjective genetic algorithm: NSGA-II
Kalyanmoy Deb; Amrit Pratap; Sakshi Agarwal; T. Meyarivan
46,868
2002
https://doi.org/10.1109/4235.996017
https://openalex.org/W2126105956
Going deeper with convolutions
Christian Szegedy; Wei Liu; Yangqing Jia; Pierre Sermanet; Scott Reed; Dragomir Anguelov; Dumitru Erhan; Vincent Vanhoucke; Andrew Rabinovich
46,504
2015
https://doi.org/10.1109/cvpr.2015.7298594
https://openalex.org/W2097117768
XGBoost
Tianqi Chen; Carlos Guestrin
46,192
2016
https://doi.org/10.1145/2939672.2939785
https://openalex.org/W2295598076
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
Holter, Ole Magnus; Ell, Basil
45,495
2018
https://doi.org/10.4230/lipics.cosit.2022.18
https://openalex.org/W2896457183
Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach
Andrew F. Hayes
45,130
2013
https://openalex.org/W1849190772
Firm Resources and Sustained Competitive Advantage
Jay B. Barney
44,473
1991
https://doi.org/10.1177/014920639101700108
https://openalex.org/W3124536214
Optimization by Simulated Annealing
Scott Kirkpatrick; C. D. Gelatt; M.P. Vecchi
44,339
1983
https://doi.org/10.1126/science.220.4598.671
https://openalex.org/W2024060531
<tt>edgeR</tt> : a Bioconductor package for differential expression analysis of digital gene expression data
Mark D. Robinson; Davis J. McCarthy; Gordon K. Smyth
43,961
2009
https://doi.org/10.1093/bioinformatics/btp616
https://openalex.org/W2114104545
Densely Connected Convolutional Networks
Gao Huang; Zhuang Liu; Laurens van der Maaten; Kilian Q. Weinberger
43,925
2017
https://doi.org/10.1109/cvpr.2017.243
https://openalex.org/W2963446712
Highly accurate protein structure prediction with AlphaFold
John Jumper; Richard Evans; Alexander Pritzel; Tim Green; Michael Figurnov; Olaf Ronneberger; Kathryn Tunyasuvunakool; Russ Bates; Augustin Žídek; Anna Potapenko; Alex Bridgland; Clemens Meyer; Simon Köhl; Andrew J. Ballard; Andrew Cowie; Bernardino Romera‐Paredes; Stanislav Nikolov; Rishub Jain; Jonas Adler; Trevor Ba...
43,500
2021
https://doi.org/10.1038/s41586-021-03819-2
https://openalex.org/W3177828909
Collective dynamics of ‘small-world’ networks
Duncan J. Watts; Steven H. Strogatz
42,872
1998
https://doi.org/10.1038/30918
https://openalex.org/W2112090702
Coefficient Alpha and the Internal Structure of Tests
Lee J. Cronbach
42,783
1951
https://doi.org/10.1007/bf02310555
https://openalex.org/W2159306398
A Threshold Selection Method from Gray-Level Histograms
Nobuyuki Otsu
42,755
1979
https://doi.org/10.1109/tsmc.1979.4310076
https://openalex.org/W2133059825
Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
Fred S. Guthery; Kenneth P. Burnham; David Anderson
42,165
2003
https://doi.org/10.2307/3802723
https://openalex.org/W2009435671
Microsoft COCO: Common Objects in Context
Tsung-Yi Lin; Michael Maire; Serge Belongie; James Hays; Pietro Perona; Deva Ramanan; Piotr Dollár; C. Lawrence Zitnick
41,467
2014
https://doi.org/10.1007/978-3-319-10602-1_48
https://openalex.org/W1861492603
LIBSVM
Chih-Chung Chang; Chih‐Jen Lin
41,249
2011
https://doi.org/10.1145/1961189.1961199
https://openalex.org/W2153635508
MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods
Koichiro Tamura; Daniel G. Peterson; Nora Peterson; Glen Stecher; M Nei; Sudhir Kumar
40,253
2011
https://doi.org/10.1093/molbev/msr121
https://openalex.org/W2132632499
Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups
Allison Tong; Peter Sainsbury; Jonathan C. Craig
40,242
2007
https://doi.org/10.1093/intqhc/mzm042
https://openalex.org/W2138664283
Support-vector networks
Corinna Cortes; Vladimir Vapnik
40,107
1995
https://doi.org/10.1007/bf00994018
https://openalex.org/W4239510810
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky; Jia Deng; Hao Su; Jonathan Krause; Sanjeev Satheesh; Sean Ma; Zhiheng Huang; Andrej Karpathy; Aditya Khosla; Michael S. Bernstein; Alexander C. Berg; Li Fei-Fei
39,823
2015
https://doi.org/10.1007/s11263-015-0816-y
https://openalex.org/W2117539524
Situated Learning: Legitimate Peripheral Participation.
Maurice Bloch; Jean Lave; Étienne Wenger
39,796
1994
https://doi.org/10.2307/2804509
https://openalex.org/W2116199508
Structural equation modeling in practice: A review and recommended two-step approach.
James C. Anderson; David W. Gerbing
39,338
1988
https://doi.org/10.1037/0033-2909.103.3.411
https://openalex.org/W2122912498
Meta-analysis in clinical trials
Rebecca DerSimonian; Nan M. Laird
38,959
1986
https://doi.org/10.1016/0197-2456(86)90046-2
https://openalex.org/W2107328434
Firm resources and sustained competitive advantage
Jay B. Barney
38,499
2004
https://doi.org/10.1016/s0742-3322(00)17018-4
https://openalex.org/W2061977616
An Inventory for Measuring Depression
Aaron T. Beck
37,991
1961
https://doi.org/10.1001/archpsyc.1961.01710120031004
https://openalex.org/W2067495470
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Da Wei Huang; Brad T. Sherman; Richard A. Lempicki
37,195
2008
https://doi.org/10.1038/nprot.2008.211
https://openalex.org/W2158217645
Fully convolutional networks for semantic segmentation
Jonathan Long; Evan Shelhamer; Trevor Darrell
36,535
2015
https://doi.org/10.1109/cvpr.2015.7298965
https://openalex.org/W1903029394
Principles and Practice of Structural Equation Modeling
Rex B. Kline
36,218
2005
https://openalex.org/W1665332082
Multivariate Data Analysis.
H. Herne; William W. Cooley; Paul R. Lohnes
35,854
1973
https://doi.org/10.2307/2344428
https://openalex.org/W3015634246
Visualizing Data using t-SNE
Laurens van der Maaten; Geoffrey E. Hinton
35,711
2008
https://openalex.org/W2187089797
Adaptation in Natural and Artificial Systems
John H. Holland
35,555
1992
https://doi.org/10.7551/mitpress/1090.001.0001
https://openalex.org/W1497256448
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava; Geoffrey E. Hinton; Alex Krizhevsky; Ilya Sutskever; Ruslan Salakhutdinov
34,245
2014
https://openalex.org/W2095705004
Absorptive Capacity: A New Perspective on Learning and Innovation
Wesley M. Cohen; Daniel A. Levinthal
34,102
1990
https://doi.org/10.2307/2393553
https://openalex.org/W2108795964
Inference of Population Structure Using Multilocus Genotype Data
Jonathan K. Pritchard; Matthew Stephens; Peter Donnelly
34,032
2000
https://doi.org/10.1093/genetics/155.2.945
https://openalex.org/W2098126593
RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies
Alexandros Stamatakis
33,938
2014
https://doi.org/10.1093/bioinformatics/btu033
https://openalex.org/W2141052558
[20] Processing of X-ray diffraction data collected in oscillation mode
Zbyszek Otwinowski; W. Minor
33,553
1997
https://doi.org/10.1016/s0076-6879(97)76066-x
https://openalex.org/W1539796472
Glove: Global Vectors for Word Representation
Jeffrey Pennington; Richard Socher; Christopher D. Manning
33,457
2014
https://doi.org/10.3115/v1/d14-1162
https://openalex.org/W2250539671
Support-Vector Networks
Corinna Cortes; Vladimir Vapnik
32,380
1995
https://doi.org/10.1023/a:1022627411411
https://openalex.org/W2119821739
Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
Kristopher J. Preacher; Andrew F. Hayes
32,116
2008
https://doi.org/10.3758/brm.40.3.879
https://openalex.org/W2038702827
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Jörg Henseler; Christian M. Ringle; Marko Sarstedt
31,937
2014
https://doi.org/10.1007/s11747-014-0403-8
https://openalex.org/W2105846236
Jacob Devlin; Ming‐Wei Chang; Kenton Lee; Kristina Toutanova
31,815
2019
https://doi.org/10.18653/v1/n19-1423
https://openalex.org/W2963341956
Histograms of Oriented Gradients for Human Detection
Navneet Dalal; Bill Triggs
31,727
2005
https://doi.org/10.1109/cvpr.2005.177
https://openalex.org/W2161969291
ggplot2
Hadley Wickham
31,570
2016
https://doi.org/10.1007/978-3-319-24277-4
https://openalex.org/W4254687493
Situated Learning
Jean Lave; Étienne Wenger
31,491
1991
https://doi.org/10.1017/cbo9780511815355
https://openalex.org/W4245961435
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Ross Girshick; Jeff Donahue; Trevor Darrell; Jitendra Malik
31,459
2014
https://doi.org/10.1109/cvpr.2014.81
https://openalex.org/W2102605133
A New Approach to Linear Filtering and Prediction Problems
R. E. Kalman
30,714
1960
https://doi.org/10.1115/1.3662552
https://openalex.org/W2105934661
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy; Vincent Vanhoucke; Sergey Ioffe; Jon Shlens; Zbigniew Wojna
30,542
2016
https://doi.org/10.1109/cvpr.2016.308
https://openalex.org/W2183341477
Classification of Surgical Complications
Daniel Dindo; Nicolas Demartines; Pierre-Alain Clavien
30,469
2004
https://doi.org/10.1097/01.sla.0000133083.54934.ae
https://openalex.org/W2096998881
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla; Kevin W. Bowyer; Lawrence Hall; W. Philip Kegelmeyer
30,322
2002
https://doi.org/10.1613/jair.953
https://openalex.org/W2148143831
Learning representations by back-propagating errors
David E. Rumelhart; Geoffrey E. Hinton; Ronald J. Williams
30,286
1986
https://doi.org/10.1038/323533a0
https://openalex.org/W1498436455
BEDTools: a flexible suite of utilities for comparing genomic features
Aaron R. Quinlan; Ira M. Hall
29,967
2010
https://doi.org/10.1093/bioinformatics/btq033
https://openalex.org/W2102619694
Neural Networks: A Comprehensive Foundation
Simon Haykin
29,833
1998
https://openalex.org/W2124776405
Human-level control through deep reinforcement learning
Volodymyr Mnih; Koray Kavukcuoglu; David Silver; Andrei A. Rusu; Joel Veness; Marc G. Bellemare; Alex Graves; Martin Riedmiller; Andreas Fidjeland; Georg Ostrovski; Stig Petersen; Charles Beattie; Amir Sadik; Ioannis Antonoglou; Helen King; Dharshan Kumaran; Daan Wierstra; Shane Legg; Demis Hassabis
29,363
2015
https://doi.org/10.1038/nature14236
https://openalex.org/W2145339207
MrBayes 3: Bayesian phylogenetic inference under mixed models
Fredrik Ronquist; John P. Huelsenbeck
29,241
2003
https://doi.org/10.1093/bioinformatics/btg180
https://openalex.org/W2146058063
The ERA5 global reanalysis
Hans Hersbach; Bill Bell; Paul Berrisford; Shoji Hirahara; Ándrás Horányi; Joaquı́n Muñoz-Sabater; Julien P. Nicolas; Carole Peubey; Raluca Radu; Dinand Schepers; A. J. Simmons; Cornel Soci; Saleh Abdalla; Xavier Abellan; Gianpaolo Balsamo; Peter Bechtold; G. Biavati; Jean‐Raymond Bidlot; Massimo Bonavita; Giovanna De ...
29,161
2020
https://doi.org/10.1002/qj.3803
https://openalex.org/W3025949386
The NCEP/NCAR 40-Year Reanalysis Project
Eugenia Kalnay; Masao Kanamitsu; Robert Kistler; William D. Collins; Dennis G. Deaven; L. S. Gandin; Mark Iredell; Suranjana Saha; Glenn H. White; John S. Woollen; Yutong Zhu; Ants Leetmaa; R. Reynolds; Muthuvel Chelliah; W. Ebisuzaki; W. Higgins; John E. Janowiak; K. C. Mo; C. Ropelewski; J. Wang; Roy L. Jenne; Dennis...
29,061
1996
https://doi.org/10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2
https://openalex.org/W2173251738
A Computational Approach to Edge Detection
John Canny
28,884
1986
https://doi.org/10.1109/tpami.1986.4767851
https://openalex.org/W2145023731
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu; Yutong Lin; Yue Cao; Han Hu; Yixuan Wei; Zheng Zhang; Stephen Lin; Baining Guo
28,845
2021
https://doi.org/10.1109/iccv48922.2021.00986
https://openalex.org/W3138516171
Sample Selection Bias as a Specification Error
James J. Heckman
28,677
1979
https://doi.org/10.2307/1912352
https://openalex.org/W2139122730
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Yang Liao; Gordon K. Smyth; Wei Shi
28,382
2013
https://doi.org/10.1093/bioinformatics/btt656
https://openalex.org/W2138207763
Mask R-CNN
Kaiming He; Georgia Gkioxari; Piotr Dollár; Ross Girshick
28,320
2017
https://doi.org/10.1109/iccv.2017.322
https://openalex.org/W2963150697
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin; Piotr Dollár; Ross Girshick; Kaiming He; Bharath Hariharan; Serge Belongie
28,147
2017
https://doi.org/10.1109/cvpr.2017.106
https://openalex.org/W2565639579
Greedy function approximation: A gradient boosting machine.
Jerome H. Friedman
28,099
2001
https://doi.org/10.1214/aos/1013203451
https://openalex.org/W1678356000
Clinical diagnosis of Alzheimer's disease
Guy M. McKhann; David A. Drachman; Marshall Folstein; Robert Katzman; Donald D. Price; Emanuel M. Stadlan
27,934
1984
https://doi.org/10.1212/wnl.34.7.939
https://openalex.org/W2156220037
Judgment under Uncertainty: Heuristics and Biases
Amos Tversky; Daniel Kahneman
27,630
1974
https://doi.org/10.1126/science.185.4157.1124
https://openalex.org/W4292157289
Fast R-CNN
Ross Girshick
27,544
2015
https://doi.org/10.1109/iccv.2015.169
https://openalex.org/W1536680647
Squeeze-and-Excitation Networks
Jie Hu; Li Shen; Gang Sun
27,538
2018
https://doi.org/10.1109/cvpr.2018.00745
https://openalex.org/W2752782242
MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
Fredrik Ronquist; Maxim Teslenko; Paul van der Mark; Daniel L. Ayres; Aaron E. Darling; Sebastian Höhna; Bret Larget; Liang Liu; Marc A. Suchard; John P. Huelsenbeck
27,518
2012
https://doi.org/10.1093/sysbio/sys029
https://openalex.org/W2148698435
Latent dirichlet allocation
David M. Blei; Andrew Y. Ng; Michael I. Jordan
27,006
2003
https://doi.org/10.5555/944919.944937
https://openalex.org/W1880262756
Statistical Learning Theory
Yuhai Wu; Vladimir Vapnik
26,954
1999
https://doi.org/10.2307/1271368
https://openalex.org/W2148603752
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