7.5(top 2%)
impact factor
2.4K(top 10%)
papers
391.9K(top 1%)
citations
205(top 1%)
h-index
7.6(top 5%)
extended IF
2.8K
all documents
423.2K
doc citations
547(top 1%)
g-index

Top Articles

#TitleJournalYearCitations
1Support-vector networksMachine Learning199539,746
2Bagging predictorsMachine Learning199619,444
3Induction of decision treesMachine Learning198612,466
4Gene Selection for Cancer Classification using Support Vector MachinesMachine Learning20027,471
5Induction of Decision TreesMachine Learning19866,981
6Support-Vector NetworksMachine Learning19956,852
7Extremely randomized treesMachine Learning20065,292
8Multitask LearningMachine Learning19974,130
9Bayesian Network ClassifiersMachine Learning19973,732
10Simple statistical gradient-following algorithms for connectionist reinforcement learningMachine Learning19923,579
11Bagging PredictorsMachine Learning19963,513
12Finite-time Analysis of the Multiarmed Bandit ProblemMachine Learning20023,502
13Instance-based learning algorithmsMachine Learning19913,335
14Learning to predict by the methods of temporal differencesMachine Learning19883,292
15The strength of weak learnabilityMachine Learning19903,000
16Technical Note: Q-LearningMachine Learning19922,603
17Support Vector Data DescriptionMachine Learning20042,579
18A Bayesian method for the induction of probabilistic networks from dataMachine Learning19922,550
19Theoretical and Empirical Analysis of ReliefF and RReliefFMachine Learning20032,407
20Genetic Algorithms and Machine LearningMachine Learning19882,380
21On the Optimality of the Simple Bayesian Classifier under Zero-One LossMachine Learning19972,368
22Learning Bayesian networks: The combination of knowledge and statistical dataMachine Learning19952,282
23(null)Machine Learning20002,203
24Text Classification from Labeled and Unlabeled Documents using EMMachine Learning20002,067
25Instance-Based Learning AlgorithmsMachine Learning19912,065
26A theory of learning from different domainsMachine Learning20102,005
27An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and VariantsMachine Learning19991,973
28An Introduction to Variational Methods for Graphical ModelsMachine Learning19991,944
29Unsupervised Learning by Probabilistic Latent Semantic AnalysisMachine Learning20011,913
30Improved Boosting Algorithms Using Confidence-rated PredictionsMachine Learning19991,904
31Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble AccuracyMachine Learning20031,844
32Choosing Multiple Parameters for Support Vector MachinesMachine Learning20021,766
33Markov logic networksMachine Learning20061,723
34BoosTexter: A Boosting-based System for Text CategorizationMachine Learning20001,700
35A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification ProblemsMachine Learning20011,688
36An Introduction to MCMC for Machine LearningMachine Learning20031,673
37(null)Machine Learning20031,670
38A Bayesian Method for the Induction of Probabilistic Networks from DataMachine Learning19921,655
39The CN2 induction algorithmMachine Learning19891,647
40Classifier chains for multi-label classificationMachine Learning20111,560
41The Strength of Weak LearnabilityMachine Learning19901,534
42Very Simple Classification Rules Perform Well on Most Commonly Used DatasetsMachine Learning19931,445
43SPADE: An Efficient Algorithm for Mining Frequent SequencesMachine Learning20011,432
44Knowledge acquisition via incremental conceptual clusteringMachine Learning19871,430
45A survey on semi-supervised learningMachine Learning20201,410
46Learning in the presence of concept drift and hidden contextsMachine Learning19961,378
47Genetic algorithms and Machine LearningMachine Learning19881,377
48Queries and concept learningMachine Learning19881,253
49The max-min hill-climbing Bayesian network structure learning algorithmMachine Learning20061,206
50Stacked regressionsMachine Learning19961,203