Research graph
References from AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2012 · External reference
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10.1142/s0218126698000043 · 1998 · External reference
Unresolved reference
2017 · External reference
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10.1016/j.procs.2017.01.120 · 2017 · External reference
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10.1007/978-3-030-29911-8_6
10.1007/978-3-030-29911-8_6 · 2019 · External reference
Cross-domain Metalearning for Time-series Forecasting
10.1016/j.procs.2018.07.204 · 2018 · External reference
A meta-learning approach to automatic kernel selection for support vector machines
10.1016/j.neucom.2006.03.004 · 2006 · External reference
Hyperparameter Search for Machine Learning Algorithms for Optimizing the Computational Complexity
10.3390/pr11020349 · 2023 · External reference
Unresolved reference
2020 · External reference
10.1007/978-3-642-40988-2_31
10.1007/978-3-642-40988-2_31 · 2013 · External reference
Review of ML and AutoML Solutions to Forecast Time-Series Data
10.1007/s11831-022-09765-0 · 2022 · External reference
10.1109/dsaa.2017.82
10.1109/dsaa.2017.82 · 2017 · External reference
Unresolved reference
2017 · External reference
Runtime Support for Human-in-the-Loop Feature Engineering Systems
2016 · External reference
Unresolved reference
2016 · External reference
Unresolved reference
2005 · External reference
Unresolved reference
External reference
10.1109/icdm.2008.119
10.1109/icdm.2008.119 · 2008 · External reference
Unresolved reference
2006 · External reference
Unresolved reference
2017 · External reference
AutoML: state of the art with a focus on anomaly detection, challenges, and research directions
10.1007/s41060-022-00309-0 · 2022 · External reference
Unresolved reference
2017 · External reference
10.1109/ijcnn.2015.7280779
10.1109/ijcnn.2015.7280779 · 2015 · External reference
Multiple adaptive mechanisms for data-driven soft sensors
10.1016/j.compchemeng.2016.08.017 · 2017 · External reference
Unresolved reference
2018 · External reference
Unresolved reference
2018 · External reference
Unresolved reference
2013 · External reference
Net-Net Auto Machine Learning (AutoML) Prediction of Complex Ecosystems
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Gradient-Based Optimization of Hyperparameters
10.1162/089976600300015187 · 2000 · External reference
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Unresolved reference
2014 · External reference
10.25080/majora-8b375195-003
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10.3929/ethz-a-010558061 · 2015 · External reference
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Unresolved reference
2018 · External reference
10.1007/978-3-319-92901-9_6
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2017 · External reference
Unresolved reference
2017 · External reference
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Unresolved reference
2019 · External reference
Unresolved reference
2017 · External reference
10.1109/fuzzy.2007.4295640
10.1109/fuzzy.2007.4295640 · 2007 · External reference
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10.1007/s10994-017-5692-y · 2017 · External reference
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10.1023/a:1021713901879 · 2003 · External reference
Unresolved reference
1998 · External reference
Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
10.1214/ss/1009213726 · 2001 · External reference
Unresolved reference
2010 · External reference
Preschool children can learn to transfer: Learning to learn and learning from example
10.1016/0010-0285(88)90014-x · 1988 · External reference
Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation
10.1109/tnnls.2012.2222925 · 2013 · External reference
10.1109/ijcnn.2010.5596717
10.1109/ijcnn.2010.5596717 · 2010 · External reference
On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling
10.3390/e13071229 · 2011 · External reference
Combining Feature and Algorithm Hyperparameter Selection using some Met-alearning Methods
2017 · External reference
10.1109/iccp.2009.5284790
10.1109/iccp.2009.5284790 · 2009 · External reference
Unresolved reference
2019 · External reference
An algorithmic approach to parameter selection in machine learning using meta-optimization techniques
2014 · External reference
10.1145/1015330.1015432
10.1145/1015330.1015432 · 2004 · External reference
Online AutoML: an adaptive AutoML framework for online learning
10.1007/s10994-022-06262-0 · 2022 · External reference
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10.1109/tpami.2021.3062900 · 2021 · External reference
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10.1145/170088.170160 · 1993 · External reference
10.1109/bigdata.2013.6691595
10.1109/bigdata.2013.6691595 · 2013 · External reference
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10.1145/1541880.1541882 · 2009 · External reference
Unresolved reference
2000 · External reference
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10.1016/0377-2217(78)90138-8 · 1978 · External reference
10.1109/icdmw.2011.118
10.1109/icdmw.2011.118 · 2011 · External reference
10.1145/3205455.3205586
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10.1145/2675133.2675214
10.1145/2675133.2675214 · 2015 · External reference
10.1145/2063576.2063779
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10.1109/lsens.2023.3327914 · 2023 · External reference
10.1007/1-84628-183-0_1
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Unresolved reference
External reference
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10.1016/0169-2070(89)90012-5 · 1989 · External reference
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2018 · External reference
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2016 · External reference
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10.1613/jair.1.13643 · 2022 · External reference
Unresolved reference
2018 · External reference
A recommendation system for meta-modeling: A meta-learning based approach
10.1016/j.eswa.2015.10.021 · 2016 · External reference
Unresolved reference
2018 · External reference
Corrective feedback and persistent learning for information extraction
10.1016/j.artint.2006.08.001 · 2006 · External reference
A fast and elitist multiobjective genetic algorithm: NSGA-II
10.1109/4235.996017 · 2002 · External reference
Unresolved reference
2016 · External reference
10.1007/978-3-319-60435-0
10.1007/978-3-319-60435-0 · 2018 · External reference
10.1109/codit.2018.8394805
10.1109/codit.2018.8394805 · 2018 · External reference
Unresolved reference
2015 · External reference
10.48550/arxiv.2112.09245
10.48550/arxiv.2112.09245 · 2021 · External reference
NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size
10.1109/tpami.2021.3054824 · 2020 · External reference
Unresolved reference
2020 · External reference
10.1109/cvpr.2019.00186
10.1109/cvpr.2019.00186 · 2019 · External reference
Strengthening learning algorithms by feature discovery
10.1016/j.ins.2011.11.039 · 2012 · External reference
Unresolved reference
2018 · External reference
10.1145/3377325.3377501.arxiv:2001.06509v1[cs.lg]
10.1145/3377325.3377501.arxiv:2001.06509v1[cs.lg] · 2020 · External reference
Unresolved reference
2015 · External reference
10.1109/bigdata.2017.8257942
10.1109/bigdata.2017.8257942 · 2017 · External reference
NetPyNE, a tool for data-driven multiscale modeling of brain circuits
10.7554/elife.44494 · 2019 · External reference
The Dynamics of Negative Correlation Learning
10.1007/s11265-007-0074-5 · 2007 · External reference
10.1109/fskd.2011.6019563
10.1109/fskd.2011.6019563 · 2011 · External reference
Generalised bottom-up pruning: A model level combination of decision trees
10.1016/j.eswa.2012.02.061 · 2012 · External reference
10.1007/978-3-030-35400-8_2
10.1007/978-3-030-35400-8_2 · 2019 · External reference
Unresolved reference
2013 · External reference
10.1609/aaai.v29i1.9375
10.1609/aaai.v29i1.9375 · 2015 · External reference
Neural Architecture Search: A Survey
2019 · External reference
Unresolved reference
2020 · External reference
Particle Swarm Model Selection
2009 · External reference
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
2020 · External reference
Unresolved reference
2017 · External reference
10.18653/v1/d17-1063
10.18653/v1/d17-1063 · 2017 · External reference
The immune system, adaptation, and machine learning
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10.1145/240455.240464 · 1996 · External reference
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10.1017/s0269888912000409 · 2013 · External reference
Auto-Sklearn 2.0: Hands-Free AutoML via Meta-Learning
2022 · External reference
Unresolved reference
2015 · External reference
10.1007/978-3-030-05318-5_6
10.1007/978-3-030-05318-5_6 · 2019 · External reference
10.1609/aaai.v29i1.9354
10.1609/aaai.v29i1.9354 · 2015 · External reference
Unresolved reference
2017 · External reference
Unresolved reference
2017 · External reference
10.1117/12.2081576
10.1117/12.2081576 · 2015 · External reference
10.1109/isca.2018.00012
10.1109/isca.2018.00012 · 2018 · External reference
Unresolved reference
2020 · External reference
Highly Comparative Feature-Based Time-Series Classification
10.1109/tkde.2014.2316504 · 2014 · External reference
Unresolved reference
2001 · External reference
10.1109/ijcnn.2002.1007519
10.1109/ijcnn.2002.1007519 · 2002 · External reference
Learning hybrid neuro-fuzzy classifier models from data: to combine or not to combine?
10.1016/j.fss.2003.11.010 · 2004 · External reference
Neural Networks Based Decision Support in Presence of Uncertainties
10.1061/(asce)0733-9496(1999)125:5(272) · 1999 · External reference
10.1007/3-540-32374-0
10.1007/3-540-32374-0 · 2005 · External reference
Genetic algorithms in classifier fusion
10.1016/j.asoc.2005.11.001 · 2006 · External reference
10.1007/978-3-540-28645-5_29
10.1007/978-3-540-28645-5_29 · 2004 · External reference
A survey on concept drift adaptation
10.1145/2523813 · 2014 · External reference
Unresolved reference
2015 · External reference
Unresolved reference
2018 · External reference
Unresolved reference
2017 · External reference
10.1109/cec.2018.8477662
10.1109/cec.2018.8477662 · 2018 · External reference
Towards big industrial data mining through explainable automated machine learning
10.1007/s00170-022-08761-9 · 2022 · External reference
10.1109/icmla.2008.154
10.1109/icmla.2008.154 · 2008 · External reference
10.1093/oso/9780195068122.001.0001
10.1093/oso/9780195068122.001.0001 · 1991 · External reference
Neural Networks and the Bias/Variance Dilemma
10.1162/neco.1992.4.1.1 · 1992 · External reference
Unresolved reference
2017 · External reference
10.1609/aaai.v31i2.19107
10.1609/aaai.v31i2.19107 · 2017 · External reference
Unresolved reference
2019 · External reference
10.1073/pnas.1906831117
10.1073/pnas.1906831117 · 2020 · External reference
Unresolved reference
2016 · External reference
Unresolved reference
2019 · External reference
GAMA: Genetic Automated Machine learning Assistant
10.21105/joss.01132 · 2019 · External reference
10.1145/3301275.3302324
10.1145/3301275.3302324 · 2019 · External reference
Unresolved reference
2013 · External reference
Combining meta-learning and search techniques to select parameters for support vector machines
10.1016/j.neucom.2011.07.005 · 2012 · External reference
10.1109/iccv.2019.00332
10.1109/iccv.2019.00332 · 2019 · External reference
10.1109/cidm.2007.368852
10.1109/cidm.2007.368852 · 2007 · External reference
10.1007/978-3-319-00960-5
10.1007/978-3-319-00960-5 · 2014 · External reference
Unresolved reference
2016 · External reference
Model selection: Beyond the bayesian/frequentist divide
2010 · External reference
Unresolved reference
2011 · External reference
Unresolved reference
External reference
10.1145/2939672.2945386
10.1145/2939672.2945386 · 2016 · External reference
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Unresolved reference
2016 · External reference
10.1145/3448326.3448353
10.1145/3448326.3448353 · 2020 · External reference
Unresolved reference
2018 · External reference
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2020 · External reference
10.1007/978-3-319-10578-9_23
10.1007/978-3-319-10578-9_23 · 2014 · External reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · 2016 · External reference
AutoML: A survey of the state-of-the-art
10.1016/j.knosys.2020.106622 · 2019 · External reference
Unresolved reference
2017 · External reference
Entropy Search for Information-Efficient Global Optimization
2012 · External reference
Unresolved reference
2018 · External reference
Complexity measures of supervised classification problems
10.1109/34.990132 · 2002 · External reference
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning
2014 · External reference
10.1201/b16023
10.1201/b16023 · 2016 · External reference
10.48550/arxiv.2305.03403
10.48550/arxiv.2305.03403 · 2023 · External reference
Automated Algorithm Selection and Configuration (Dagstuhl Seminar 16412)
10.4230/dagrep.6.10.33 · 2017 · External reference
10.1007/978-3-319-15934-8_5
10.1007/978-3-319-15934-8_5 · 2015 · External reference
Parameter optimization for machine-learning of word sense disambiguation
10.1017/s1351324902003005 · 2002 · External reference
Unresolved reference
2018 · External reference
10.1109/tel-net.2017.8343571
10.1109/tel-net.2017.8343571 · 2017 · External reference
ParamILS: An Automatic Algorithm Configuration Framework
10.1613/jair.2861 · 2009 · External reference
10.1007/978-3-642-02538-9_15
10.1007/978-3-642-02538-9_15 · 2010 · External reference
Unresolved reference
2014 · External reference
10.1007/978-3-642-25566-3_40
10.1007/978-3-642-25566-3_40 · 2011 · External reference
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10.1145/1569901.1569940 · 2009 · External reference
10.1007/978-3-030-05318-5
10.1007/978-3-030-05318-5 · 2019 · External reference
Beyond Manual Tuning of Hyperparameters
10.1007/s13218-015-0381-0 · 2015 · External reference
Algorithm runtime prediction: Methods & evaluation
10.1016/j.artint.2013.10.003 · 2014 · External reference
Unresolved reference
External reference
Unresolved reference
2016 · External reference
10.1007/978-3-642-20980-2
10.1007/978-3-642-20980-2 · 2011 · External reference
10.1109/ijcnn.2008.4634313
10.1109/ijcnn.2008.4634313 · 2008 · External reference
10.1007/978-3-642-20980-2_1
10.1007/978-3-642-20980-2_1 · 2011 · External reference
A review of machine learning for automated planning
10.1017/s026988891200001x · 2012 · External reference
10.1145/3292500.3330648
10.1145/3292500.3330648 · 2019 · External reference
Efficient Global Optimization of Expensive Black-Box Functions
10.1023/a:1008306431147 · 1998 · External reference
10.1145/3079856.3080246
10.1145/3079856.3080246 · 2017 · External reference
Unresolved reference
2018 · External reference
Methods and Criteria for Model Selection
10.1198/016214504000000269 · 2004 · External reference
Architecture for development of adaptive on-line prediction models
10.1007/s12293-009-0017-8 · 2009 · External reference
10.1109/esdis.2009.4938995
10.1109/esdis.2009.4938995 · 2009 · External reference
10.1007/978-3-642-02490-0_142
10.1007/978-3-642-02490-0_142 · 2009 · External reference
Soft sensors: where are we and what are the current and future challenges?
10.3182/20090921-3-tr-3005.00098 · 2009 · External reference
10.1109/ijcnn.2010.5596965
10.1109/ijcnn.2010.5596965 · 2010 · External reference
Local learning-based adaptive soft sensor for catalyst activation prediction
10.1002/aic.12346 · 2010 · External reference
Review of adaptation mechanisms for data-driven soft sensors
10.1016/j.compchemeng.2010.07.034 · 2011 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
2016 · External reference
10.1109/dsaa.2015.7344858
10.1109/dsaa.2015.7344858 · 2015 · External reference
Evolving fuzzy neural networks for supervised/ unsupervised online knowledge-based learning
10.1109/3477.969494 · 2001 · External reference
10.1109/icdm.2016.0123
10.1109/icdm.2016.0123 · 2016 · External reference
Unresolved reference
2019 · External reference
On taking advantage of opportunistic meta-knowledge to reduce configuration spaces for automated machine learning
10.1016/j.eswa.2023.122359 · 2024 · External reference
Automated Algorithm Selection: Survey and Perspectives
10.1162/evco_a_00242 · 2019 · External reference
10.1109/ijcnn48605.2020.9207534
10.1109/ijcnn48605.2020.9207534 · 2020 · External reference
The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives
10.1561/1100000091 · 2023 · External reference
Automating feature engineering
2016 · External reference
Unresolved reference
2017 · External reference
10.1109/icdmw.2016.0190
10.1109/icdmw.2016.0190 · 2016 · External reference
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10.5167/uzh-25868 · 2009 · External reference
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Unresolved reference
2016 · External reference
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10.1007/978-3-031-20053-3_3 · 2022 · External reference
10.48550/arxiv.2310.04238
10.48550/arxiv.2310.04238 · 2023 · External reference
Unresolved reference
2017 · External reference
Wrappers for feature subset selection
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2010 · External reference
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10.1007/s10462-013-9406-y · 2015 · External reference
Do We Need Experts for Time Series Forecasting?
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Meta-learning for time series forecasting and forecast combination
10.1016/j.neucom.2009.09.020 · 2010 · External reference
10.1109/fuzzy.2010.5584001
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Evolving forecast combination structures for airline revenue management
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2016 · External reference
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2019 · External reference
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VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition
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2020 · External reference
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2017 · External reference
A review of automatic selection methods for machine learning algorithms and hyper-parameter values
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Unresolved reference
2017 · External reference
Empirical hardness of finding optimal Bayesian network structures: algorithm selection and runtime prediction
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Feature Generation Using General Constructor Functions
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