Artificial Intelligence

The most-cited works in OpenAlex's Artificial Intelligence subfield, with every author and every citation edge that falls inside the set. 3,000 papers, shown in the corpus-wide paper order.

Paper	Record	Year	Cited	In corpus
Random Forests Leo Breiman		2001	131,109	45
Long Short-Term Memory Sepp Hochreiter, Jürgen Schmidhuber		1997	101,359	89
Fitting Linear Mixed-Effects Models Using lme4 Douglas M. Bates, Martin Mächler, Benjamin M. Bolker, Steve Walker		2015	88,296	0
Adam: A Method for Stochastic Optimization Diederik P. Kingma, Jimmy Ba		2014	84,698	56
Exploiting Generative AI to Scale up Intelligent Tutoring Systems	suspect	2023	79,071	29
Fuzzy sets L. A. Zadeh		1965	67,093	21
Scikit-learn: Machine Learning in Python Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel		2012	64,025	23
XGBoost	partial	2016	52,304	10
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)]	suspect	2015	50,396	52
Genetic algorithms in search, optimization, and machine learning	suspect	1989	49,344	56
Particle swarm optimization James Kennedy, R.C. Eberhart	partial	2002	48,447	49
Fuzzy sets Lotfi A. Zadeh	partial	1996	47,147	6
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale	suspect	2018	46,036	27
Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach Fred S. Guthery, Kenneth P. Burnham, David Anderson	partial	2003	42,187	2
Support-vector networks Corinna Cortes, Vladimir Vapnik		1995	41,028	21
Matplotlib: A 2D Graphics Environment John D. Hunter	partial	2007	40,822	11
SciPy 1.0: fundamental algorithms for scientific computing in Python	partial	2020	39,642	2
The Nature of Statistical Learning Theory Vladimir Vapnik		1995	39,409	59
Adaptation in Natural and Artificial Systems John H. Holland	partial	1992	35,569	67
Biostatistical Analysis William H. Baltosser, Jerrold H. Zar	partial	1996	35,462	3
Dropout: a simple way to prevent neural networks from overfitting Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever		2014	34,236	57
Glove: Global Vectors for Word Representation Jeffrey Pennington, Richard Socher, Christopher D. Manning		2014	34,067	40
ggplot2 Hadley Wickham	partial	2016	33,962	2
Support-Vector Networks Corinna Cortes, Vladimir Vapnik		1995	33,914	36
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin, Ming‐Wei Chang, Kenton Lee, Kristina Toutanova		2019	33,416	39
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall, W. Philip Kegelmeyer		2002	32,402	25
Learning representations by back-propagating errors David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams		1986	31,688	60
A New Approach to Linear Filtering and Prediction Problems R. E. Kalman		1960	31,488	11
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data Aaron McKenna, Matthew G. Hanna, Eric Banks, Andrey Sivachenko		2010	30,527	0
Greedy function approximation: A gradient boosting machine. Jerome H. Friedman		2001	30,137	19
Neural Networks: A Comprehensive Foundation Simon Haykin	partial	1998	29,840	14
Reinforcement Learning: An Introduction Richard S. Sutton, Andy Barto	partial	1998	27,409	13
Latent dirichlet allocation David M. Blei, Andrew Y. Ng, Michael I. Jordan		2003	27,078	31
Statistical Learning Theory Yuhai Wu, Vladimir Vapnik		1999	26,957	44
Random sample consensus Martin A. Fischler, Robert C. Bolles		1981	25,870	1
Reinforcement Learning: An Introduction	partial	2005	25,758	27
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation Kyunghyun Cho, Bart van Merriënboer, Çağlar Gülçehre, Dzmitry Bahdanau		2014	25,048	27
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe, Christian Szegedy		2015	24,404	32
C4.5: Programs for Machine Learning J. R. Quinlan	partial	1992	23,704	48
A Survey on Transfer Learning Sinno Jialin Pan, Qiang Yang		2009	23,670	28
Array programming with NumPy	partial	2020	23,533	0
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome Ben Langmead, Cole Trapnell, Mihai Pop, Steven L. Salzberg		2009	23,255	0
Investigating Causal Relations by Econometric Models and Cross-spectral Methods Clive W. J. Granger	partial	1969	23,182	1
A tutorial on hidden Markov models and selected applications in speech recognition L. R. Rabiner		1989	22,910	25
Artificial intelligence: a modern approach	suspect	1995	22,262	16
Prosedur Penelitian Suatu Pendekatan Praktik Suharsimi Arikunto	partial	2006	22,140	0
BLEU Kishore Papineni, Salim Roukos, Todd J. Ward, Wei-Jing Zhu		2001	21,963	21
An introduction to ROC analysis Tom Fawcett		2005	21,837	5
Multilayer feedforward networks are universal approximators Kurt Hornik, Maxwell B. Stinchcombe, Halbert White		1989	21,633	27
Regularization and Variable Selection Via the Elastic Net Hui Zou, Trevor Hastie		2005	21,527	1
Particle swarm optimization Riccardo Poli, James Kennedy, Tim Blackwell		2007	21,409	14
Reducing the Dimensionality of Data with Neural Networks Geoffrey E. Hinton, Ruslan Salakhutdinov		2006	21,247	43
Biometry: The Principles and Practice of Statistics in Biological Research Robert R. Sokal, F. James Rohlf	partial	1969	21,140	0
Classification and Regression Trees. John Van Ryzin, Leo Breiman, Jerome H. Friedman, Richard A. Olshen	partial	1986	21,044	43
An Introduction to the Bootstrap Bradley Efron, Robert Tibshirani	partial	1993	21,041	8
On the evaluation of structural equation models Richard P. Bagozzi, Youjae Yi		1988	20,873	1
ggplot2: Elegant Graphics for Data Analysis Hadley Wickham	partial	2009	20,582	3
Fuzzy identification of systems and its applications to modeling and control Tomohiro Takagi, Michio Sugeno		1985	19,555	14
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet		2017	19,457	8
Confidence Limits on Phylogenies: An Approach Using the Bootstrap Joseph Felsenstein	partial	1985	19,362	1
Grey Wolf Optimizer Seyedali Mirjalili, Seyed Mohammad Mirjalili, Andrew Lewis		2014	19,144	17
Social Foundations of Thought and Action : A Social Cognitive Theory Albert Bandura	partial	1985	19,102	0
Array programming with NumPy Cr Harris, KJ Millman, SJ van der Walt, R Gommers		2020	18,812	0
Neural networks for pattern recognition Chris Bishop	partial	1994	18,720	34
Classification and Regression by randomForest Andy Liaw, Matthew C. Wiener	partial	2007	18,420	7
Deep learning in neural networks: An overview Jürgen Schmidhuber		2014	18,236	24
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov, Kai Chen, Greg S. Corrado, Jay B. Dean	partial	2013	18,186	28
Distributed Representations of Words and Phrases and their Compositionality Tomáš Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado		2013	18,054	52
Mixed effects models and extensions in ecology with R Alain F. Zuur, Elena N. Ieno, N. P. J. Walker, Anatoly A. Saveliev		2009	17,900	0
Genetic Algorithms in Search, Optimization and Machine Learning David E. Goldberg, David Robson	partial	1988	17,777	28
Statistical Analysis With Missing Data Maureen Lahiff, Roderick J. A. Little, Donald B. Rubin	partial	1989	17,507	5
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis	partial	2019	17,489	25
The magical number seven, plus or minus two: Some limits on our capacity for processing information. George Miller		1994	17,324	4
Bagging Predictors Leo Breiman		1996	17,191	41
Inference from Iterative Simulation Using Multiple Sequences Andrew Gelman, Donald B. Rubin		1992	17,051	4
Introduction to Algorithms V. J. Rayward‐Smith, Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest	partial	1991	17,031	15
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference Judea Pearl		1988	16,981	27
Pattern Recognition with Fuzzy Objective Function Algorithms James C. Bezdek	partial	1981	16,856	16
A Fast Learning Algorithm for Deep Belief Nets Geoffrey E. Hinton, Simon Osindero, Yee‐Whye Teh		2006	16,540	51
A Tutorial on Support Vector Machines for Pattern Recognition Christopher J. C. Burges		1998	16,488	12
A Wavelet Tour of Signal Processing Stéphane Mallat	partial	1999	16,470	3
Bagging predictors Leo Breiman		1996	16,468	21
Intuitionistic fuzzy sets Krassimir Atanassov		1986	16,390	2
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories	suspect	2025	16,314	17
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers Stephen Boyd		2011	16,313	2
ANFIS: adaptive-network-based fuzzy inference system Jyh‐Shing Roger Jang		1993	16,303	4
Learning Internal Representations by Error Propagation David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams	partial	1985	16,273	57
"Why Should I Trust You?" Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin		2016	16,210	20
Genetic Algorithms David E. Goldberg, William Shakespeare	partial	2002	16,154	26
Density Estimation for Statistics and Data Analysis B.W. Silverman	partial	2018	16,034	10
Mastering the game of Go with deep neural networks and tree search David Silver, Aja Huang, Chris J. Maddison, Arthur Guez		2016	16,014	34
Least squares quantization in PCM Sheelagh Lloyd		1982	15,893	6
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe		2024	15,663	28
Advances in Neural Information Processing Systems 19	suspect	2007	15,653	11
Auto-Encoding Variational Bayes Diederik P. Kingma, Max Welling		2013	15,583	17
bibliometrix : An R-tool for comprehensive science mapping analysis Massimo Aria, Corrado Cuccurullo		2017	15,530	0
An R Companion to Applied Regression Sanford Weisberg, John Fox	partial	2010	15,442	0
Parallel Distributed Processing David E. Rumelhart, James L. McClelland	partial	1986	15,411	29
ggplot2 Hadley Wickham		2009	15,148	0
A survey on deep learning in medical image analysis Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud A. A. Setio		2017	15,110	10
Induction of Decision Trees J. R. Quinlan		1986	15,020	27
A new optimizer using particle swarm theory R.C. Eberhart, James Kennedy	partial	2002	14,967	32
Advances in Neural Information Processing Systems 28 Peter Flach, Meelis Kull	partial	2015	14,672	17
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio		2014	14,615	27
The Whale Optimization Algorithm Seyedali Mirjalili, Andrew Lewis		2016	14,509	9
Algorithm AS 136: A K-Means Clustering Algorithm J. A. Hartigan, M. Anthony Wong		1979	14,502	5
Advances in neural information processing systems 7	suspect	1996	14,393	17
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics	suspect	2023	14,346	4
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other H. B. Mann, Douglas R. Whitney		1947	14,273	0
WordNet George A. Miller		1995	14,235	14
No free lunch theorems for optimization David H. Wolpert, William G. Macready		1997	14,234	36
Learning the parts of objects by non-negative matrix factorization Daniel D. Lee, H. Sebastian Seung		1999	14,223	3
Numerical optimization W. John Braun, Duncan J. Murdoch	partial	2021	14,172	5
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton, Oriol Vinyals, Jay B. Dean		2015	14,099	34
mice: Multivariate Imputation by Chained Equations inR Stef van Buuren, Karin Groothuis‐Oudshoorn		2011	14,079	0
Convolutional Neural Networks for Sentence Classification Yoon Kim		2014	13,987	13
Approximation by superpositions of a sigmoidal function George Cybenko		1989	13,884	20
Back-Translation for Cross-Cultural Research Richard W. Brislin		1970	13,805	0
Bayesian Data Analysis Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson		1995	13,754	14
How to share a secret Adi Shamir		1979	13,642	10
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)	partial	2024	13,528	9
Advances in Neural Information Processing Systems 29 Onur Teymur, Kostas Zygalakis, Ben Calderhead	partial	2016	13,474	13
Sequence to Sequence Learning with Neural Networks Ilya Sutskever, Oriol Vinyals, Quoc V. Le		2014	13,351	32
Extreme learning machine: Theory and applications Guang-Bin Huang, Qinyu Zhu, Chee‐Kheong Siew		2006	13,310	9
Genetic Programming: On the Programming of Computers by Means of Natural Selection John R. Koza	partial	1992	13,277	21
Data clustering Anil K. Jain, M. Narasimha Murty, Patrick J. Flynn		1999	13,263	14
A method for obtaining digital signatures and public-key cryptosystems Ronald L. Rivest, Adi Shamir, Leonard M. Adleman		1978	13,242	31
A method for obtaining digital signatures and public-key cryptosystems Ronald L. Rivest, Adi Shamir, Leonard M. Adleman		1983	13,151	27
Elements of Information Theory Thomas M. Cover, Joy A. Thomas	partial	2005	13,095	3
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data John Lafferty, Andrew McCallum, Fernando C. N. Pereira		2001	12,994	33
Indexing by latent semantic analysis Scott Deerwester, Susan Dumais, George W. Furnas, Thomas K. Landauer		1990	12,850	33
The Elements of Statistical Learning: Data Mining, Inference, and Prediction Zigang Lu		2010	12,807	7
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi		2017	12,734	8
Understanding the difficulty of training deep feedforward neural networks Xavier Glorot, Yoshua Bengio		2010	12,673	27
A translation approach to portable ontology specifications Thomas Gruber		1993	12,639	8
Introduction to information retrieval Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze	partial	2009	12,588	8
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie		2020	12,515	6
Induction of decision trees J. R. Quinlan		1986	12,427	19
Neural Networks for Pattern Recognition Chris Bishop	partial	1995	12,273	20
Data Analysis Hadley Wickham		2016	12,245	0
Ant system: optimization by a colony of cooperating agents Marco Dorigo, Vittorio Maniezzo, A. Colorni		1996	12,034	19
Aggregated Residual Transformations for Deep Neural Networks Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu		2017	12,015	7
The perceptron: A probabilistic model for information storage and organization in the brain. Frank F. Rosenblatt		1958	11,965	20
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers, Iryna Gurevych		2019	11,789	3
Multimodel Inference Kenneth P. Burnham, David R. Anderson		2004	11,781	1
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov, Kai Chen, Greg S. Corrado, Jay B. Dean		2013	11,714	25
WordNet: An electronic lexical database . Ed. by Christiane Fellbaum. Cambridge, MA: MIT Press, 1998. Pp. xxii, 423. Adam Kilgarriff	partial	2000	11,687	19
An index to quantify an individual's scientific research output J. E. Hirsch		2005	11,683	1
A training algorithm for optimal margin classifiers Bernhard E. Boser, Isabelle Guyon, Vladimir Vapnik		1992	11,664	27
Data Structures for Statistical Computing in Python Wes McKinney		2010	11,654	4
Genetic Algorithms + Data Structures = Evolution Programs Zbigniew Michalewicz	partial	1992	11,619	16
SciPy 1.0: fundamental algorithms for scientific computing in Python Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland		2019	11,588	1
Modern Information Retrieval Ricardo Baeza‐Yates, Berthier Ribeiro‐Neto		1999	11,572	8
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking M.S. Arulampalam, Simon Maskell, Neil Gordon, Tim C Clapp		2002	11,564	3
Anomaly detection Varun Chandola, Arindam Banerjee, Vipin Kumar		2009	11,511	12
Causality Judea Pearl	partial	2009	11,477	7
Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short Paper)	suspect	2017	11,354	8
An Introduction to Genetic Algorithms Melanie Mitchell		1996	11,231	10
Statistical Comparisons of Classifiers over Multiple Data Sets Janez Demšar		2006	11,215	14
Introduction to Statistical Pattern Recognition	suspect	1990	11,140	16
Comparison of Convenience Sampling and Purposive Sampling İlker Etikan		2016	11,123	0
Practical Nonparametric Statistics David J. Groggel, W. J. Conover	partial	2000	11,120	4
The Theory of Error-Correcting Codes	suspect	1977	11,108	12
Automatic differentiation in PyTorch Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan		2017	11,099	11
SExtractor: Software for source extraction E. Bertin, S. Arnouts		1996	11,085	0
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection Ron Kohavi		1995	10,743	10
The Nature of Statistical Learning Theory Vladimir Vapnik		2000	10,734	10
Artificial intelligence: A modern approach Nils J. Nilsson		1996	10,703	6
On Estimation of a Probability Density Function and Mode Emanuel Parzen		1962	10,596	9
UCI Repository of machine learning databases Catherine Blake	partial	1998	10,546	39
R: A Language for Data Analysis and Graphics Ross Ihaka, Robert Gentleman		1996	10,486	5
Gaussian Processes for Machine Learning Carl Edward Rasmussen, Christopher K. I. Williams		2005	10,470	13
Handbook of applied cryptography Alfred Menezes, Paul C. van Oorschot, Scott A. Vanstone, R. L. Rivest		1997	10,465	13
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups Geoffrey E. Hinton, Li Deng, Dong Yu, George E. Dahl		2012	10,399	33
Self-Organizing Maps Teuvo Kohonen	partial	1995	10,390	11
Bidirectional recurrent neural networks Mike Schuster, Kuldip K. Paliwal		1997	10,294	15
A modified particle swarm optimizer Yibing Shi, R.C. Eberhart	partial	2002	10,229	18
Learning from Imbalanced Data Haibo He, Edwardo A. Garcia		2009	10,209	12
Quantum entanglement Ryszard Horodecki, Paweł Horodecki, Michał Horodecki, Karol Horodecki		2009	10,195	7
Identification of common molecular subsequences Temple F. Smith, Michael S. Waterman		1981	10,144	5
Libsvm : A library for support vector machines Vittorio Ferrari	partial	2008	10,140	6
Numerical Recipes, The Art of Scientific Computing William H. Press, Brian P. Flannery, Saul A. Teukolsky, William T. Vetterling	partial	1987	10,092	3
Genetic Algorithms in Search D. E. Goldberg	partial	1989	10,071	23
Signal detection theory and psychophysics David Marvin Green, John A. Swets	partial	1966	10,002	7
Foundations of statistical natural language processing Christopher D. Manning, Hinrich Schütze		1999	9,997	22
Pattern Recognition and Machine Learning	suspect	2006	9,995	2
I.—COMPUTING MACHINERY AND INTELLIGENCE Alan Turing		1950	9,966	2
Machine learning: Trends, perspectives, and prospects Michael I. Jordan, Tom M. Mitchell		2015	9,947	6
Introduction to functional grammar . By M. A. K. Halliday London & Baltimore: Edward Arnold, 1985. Pp. xxxv, 387. Christian M.I.M. Matthiessen		1989	9,947	2
From local explanations to global understanding with explainable AI for trees Scott Lundberg, Gabriel Erion, Hugh Chen, Alex J. DeGrave		2020	9,936	2
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead Cynthia Rudin		2019	9,924	7
Enriching Word Vectors with Subword Information Piotr Bojanowski, Édouard Grave, Armand Joulin, Tomáš Mikolov		2017	9,900	7
A Comprehensive Survey on Graph Neural Networks	partial	2020	9,855	2
ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R Emmanuel Paradis, Klaus Schliep		2018	9,832	0
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Bennetot		2019	9,796	6
Term-weighting approaches in automatic text retrieval Gerard Salton, Chris Buckley		1988	9,714	10
The Graph Neural Network Model Franco Scarselli, M. Gori, Ah Chung Tsoi, Markus Hagenbuchner		2008	9,662	18
Learning with Kernels Bernhard Schölkopf, Alexander J. Smola	partial	2001	9,631	10
Self-organized formation of topologically correct feature maps Teuvo Kohonen		1982	9,582	12
LightGBM: A Highly Efficient Gradient Boosting Decision Tree Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang		2017	9,490	2
Least Squares Support Vector Machine Classifiers Johan A. K. Suykens, Joos Vandewalle		1999	9,429	4
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R Joseph F. Hair, G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt		2021	9,414	0
Data clustering: 50 years beyond K-means Anil K. Jain		2009	9,368	6
Multilayer feedforward networks are universal approximators HornikK., StinchcombeM., WhiteH.	partial	1989	9,357	21
Machine learning a probabilistic perspective Kevin P. Murphy	partial	2012	9,324	15
Mastering the game of Go without human knowledge David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou		2017	9,313	8
Cognitive radio: making software radios more personal Joseph Mitola, Gerald Q. Maguire		1999	9,179	1
Q-learning Christopher J. Watkins, Peter Dayan		1992	9,099	10
Extremely randomized trees Pierre Geurts, Damien Ernst, Louis Wehenkel		2006	9,068	4
A Cluster Separation Measure David L. Davies, Donald W. Bouldin		1979	9,060	8
The particle swarm - explosion, stability, and convergence in a multidimensional complex space Maurice Clerc, James Kennedy		2002	9,000	15
Wrappers for feature subset selection Ron Kohavi, George H. John		1997	8,991	9
A Mathematical Theory of Evidence Glenn Shafer	partial	1976	8,967	5
Advances in Neural Information Processing Systems 14	suspect	2002	8,961	12
Reinforcement Learning: A Survey Leslie Pack Kaelbling, Michael L. Littman, Andrew Moore		1996	8,953	12
Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron Courville	partial	2016	8,952	19
Speech recognition with deep recurrent neural networks Alex Graves, Abdelrahman Mohamed, Geoffrey E. Hinton		2013	8,916	24
A fast quantum mechanical algorithm for database search Lov K. Grover		1996	8,800	7
Self-Organization and Associative Memory Teuvo Kohonen		1989	8,778	19
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes Lotfi A. Zadeh		1973	8,748	15
Algorithms for quantum computation: discrete logarithms and factoring Peter W. Shor	partial	2002	8,732	20
Reinforcement Learning: An Introduction Jeffrey D. Johnson, Jinghong Li, Zengshi Chen	partial	2000	8,702	4
DeepWalk	partial	2014	8,670	18
Quantum Computing in the NISQ era and beyond John Preskill		2018	8,662	11
Quantum Computation and Quantum Information Michael A. Nielsen, Isaac L. Chuang	partial	2012	8,654	6
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization John C. Duchi, Elad Hazan, Yoram Singer		2010	8,621	37
Effective Approaches to Attention-based Neural Machine Translation Thang Luong, Hieu Pham, Christopher D. Manning		2015	8,617	9
Learning long-term dependencies with gradient descent is difficult Yoshua Bengio, P. Simard, Paolo Frasconi		1994	8,610	24
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY Latanya Sweeney		2002	8,585	11
The Semantic Web Tim Berners‐Lee, James Hendler, Ora Lassila	partial	2001	8,542	7
Quantum cryptography Nicolas Gisin, G. Ribordy, Wolfgang Tittel, Hugo Zbinden		2002	8,477	19
Scikit-learn: Machine Learning in Python PedregosaFabian, VaroquauxGaël, GramfortAlexandre, MichelVincent	partial	2011	8,470	1
Markov Decision Processes: Discrete Stochastic Dynamic Programming. Kasra Hazeghi, Martin L. Puterman		1995	8,450	8
Pattern Recognition and Machine Learning	suspect	2007	8,431	3
Graph Attention Networks Guillem Cucurull, Arantxa Casanova, Adriana Romero, Yoshua Bengio	partial	2017	8,400	6
Pattern Recognition and Machine Learning (Information Science and Statistics) Chris Bishop	partial	2006	8,359	6
Exploring the Limits of Transfer Learning with a Unified Text-to-Text\n Transformer Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee	suspect	2019	8,346	12
An Introduction to Functional Grammar Μ. Α. Κ. Halliday, M.A.K. Halliday, Christian M.I.M. Matthiessen	partial	2014	8,303	1
ROUGE: A Package for Automatic Evaluation of Summaries Chin-Yew Lin		2004	8,302	8
Generalized Additive Models. Richard A. Brown, Trevor Hastie, Robert Tibshirani	partial	1991	8,296	8
Transformers: State-of-the-Art Natural Language Processing Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond		2020	8,295	6
The self-organizing map Teuvo Kohonen		1990	8,234	9
Solutions of Ill-Posed Problems. John B. Bell, А. Н. Тихонов, V. Y. Arsenin	partial	1978	8,221	6
Compilers: Principles, Techniques, and Tools Alfred V. Aho, Ravi Sethi, Jeffrey D. Ullman	partial	1986	8,175	4
A spreading-activation theory of semantic processing. Allan M. Collins, Elizabeth F. Loftus		1975	8,166	6
An algorithm for suffix stripping Martin Porter		1980	8,157	10
Explaining and Harnessing Adversarial Examples Ian Goodfellow, Jonathon Shlens, Christian Szegedy		2014	8,146	18
Nonlinear Component Analysis as a Kernel Eigenvalue Problem Bernhard Schölkopf, Alexander J. Smola, Klaus‐Robert Müller		1998	8,138	21
Optuna Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta		2019	8,126	0
Multivariate Adaptive Regression Splines Jerome H. Friedman		1991	8,114	5
A public key cryptosystem and a signature scheme based on discrete logarithms Taher ElGamal		1985	8,086	9
Ant colony system: a cooperative learning approach to the traveling salesman problem Marco Dorigo, Luca Maria Gambardella		1997	8,077	12
Ensemble Methods in Machine Learning Thomas G. Dietterich		2000	8,058	14
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf, Max Welling		2016	8,058	14
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