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Research Output 2006 2019

2019

A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers

Mantovani, R. G., Rossi, A. L. D., Alcobaça, E., Vanschoren, J. & de Carvalho, A. C. P. L. F., 1 Oct 2019, In : Information Sciences. 501, p. 193-221 29 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Meta-learning
Hyperparameters
Recommender Systems
Recommender systems
Learning Systems

Automatic machine learning: methods, systems, challenges

Hutter, F., Kotthoff, L. & Vanschoren, J., 2019, New York: Springer. 242 p. (Challenges in Machine Learning)

Research output: Book/ReportBook editingAcademicpeer-review

Open Access
File
Learning systems
Automation
Students

GAMA: genetic automated machine learning assistant

Gijsbers, P. & Vanschoren, J., 30 Jan 2019, In : Journal of Open Source Software. 4, 33, 2 p., 1132

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Learning systems
Pipelines
Genetic programming
Learning algorithms

Meta-learning

Vanschoren, J., 2019, Automatic Machine Learning: Methods, Systems, Challenges. Hutter, F., Kotthoff, L. & Vanschoren, J. (eds.). Cham: Springer, p. 39-61 27 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access
File
Learning systems
Metadata
Pipelines
2018

Data augmentation using conditional generative adversarial networks for leaf counting in arabidopsis plants

Zhu, Y., Aoun, M., Krijn, M. P. C. M. & Vanschoren, J., Aug 2018, British Machine Vision Conference: Workshop on Computer Vision Problems in Plant Phenotyping. 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Masks

Discovery science: 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings

Soldatova, L. (ed.), Vanschoren, J. (ed.), Ceci, M. (ed.) & Papadopoulos, G. (ed.), 2018, Berlin: Springer. (Lecture Notes in Artificial Intelligence; vol. 11198)

Research output: Book/ReportBook editingAcademicpeer-review

Meta learning for defaults: symbolic defaults

van Rijn, J. N., Pfisterer, F., Thomas, J., Muller, A., Bischl, B. & Vanschoren, J., 8 Dec 2018 7 p.

Research output: Contribution to conferencePaperAcademic

6 Citations (Scopus)

Meta-QSAR: a large-scale application of meta-learning to drug design and discovery

Olier, I., Sadawi, N., Bickerton, G. R., Vanschoren, J., Grosan, C., Soldatova, L. & King, R. D., 8 Jan 2018, In : Machine Learning. 107, 1, p. 285–311 27 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Learning systems
Chemical compounds
Bioactivity
Medicine
Proteins

ML schema: exposing the semantics of machine learning with schemas and ontologies

Correa Publio, G., Esteves, D., Ławrynowicz, A., Panov, P., Soldatova, L., Soru, T., Vanschoren, J. & Zafar, H., 2018 5 p.

Research output: Contribution to conferencePaperAcademic

Ontology
Learning systems
Semantics
Learning algorithms
Experiments

Preface

Soldatova, L., Vanschoren, J., Ceci, M. & Papadopoulos, G., 1 Jan 2018, Discovery science: 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings. Berlin: Springer, p. V (Lecture Notes in Artificial Intelligence; vol. 11198)

Research output: Chapter in Book/Report/Conference proceedingForeword/postscriptAcademic

1 Citation (Scopus)

Speeding up algorithm selection using average ranking and active testing by introducing runtime

Abdulrahman, S. M., Brazdil, P., van Rijn, J. N. & Vanschoren, J., 8 Jan 2018, In : Machine Learning. 107, 1, p. 79-108 30 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Testing
9 Citations (Scopus)

The online performance estimation framework: heterogeneous ensemble learning for data streams

van Rijn, J. N., Holmes, G., Pfahringer, B. & Vanschoren, J., 8 Jan 2018, In : Machine Learning. 107, 1, p. 149–176 28 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Classifiers
Data mining
Experiments
2017

An algorithm, implementation and execution ontology design pattern

Ławrynowicz, A., Esteves, D., Panov, P., Soru, T., Džeroski, S. & Vanschoren, J., 27 Dec 2017, Advances in Ontology Design and Patterns. Amsterdam: IOS Press, p. 55-68 14 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Ontology
Learning systems
Interoperability
Data mining
Experiments
Open Access
File
6 Citations (Scopus)

Hyper-parameter tuning of a decision tree induction algorithm

Mantovani, R. G., Horváth, T., Cerri, R., Vanschoren, J. & de Carvalho, A. C. P. L. F., 1 Feb 2017, 5th Brazilian Conference on Intelligent Systems, BRACIS 2016; Recife, Pernambuco; Brazil; 9 October 2016 through 12 October 2016. Piscataway: Institute of Electrical and Electronics Engineers, p. 37-42 6 p. 7839559

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Hyperparameters
Parameter Tuning
Decision trees
Decision tree
Proof by induction

Layered TPOT : speeding up tree-based pipeline optimization

Gijsbers, P., Vanschoren, J. & Olson, R., 22 Sep 2017, Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms (AutoML 2017), 10 August 2017, Sydney, Australia: Collocated with ECMLPKDD 2017. Brazdil, P., Vanschoren, J., Hutter, F. & Hoos, H. (eds.). CEUR-WS.org, p. 49-68 20 p. (CEUR Workshop Proceedings; vol. 1998)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Trees (mathematics)
Pipelines
Learning systems
Genetic programming
Evolutionary algorithms
3 Citations (Scopus)

OpenML: An R package to connect to the machine learning platform OpenML

Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J. & Bischl, B., 1 Jul 2017, In : Computational Statistics. 32, 3, p. 1-15 15 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Learning systems
Machine Learning
Online Learning
Reproducibility
Visibility

OpenML: an R package to connect to the networked machine learning platform OpenML

Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J. & Bischl, B., 2017, In : arXiv. 1701.01293, 1701.01293

Research output: Contribution to journalArticleAcademic

Open Access
File
Learning systems
Visibility
Experiments
2016

An algorithm, implementation and execution ontology design pattern

Lawrynowicz, A., Esteves, D., Panov, P., Soru, T., Dzeroski, S. & Vanschoren, J., 1 Nov 2016, ISWC Workshop on Ontology and Semantic Web Patterns.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access
File
Ontology
Learning systems
Interoperability
Data mining
Experiments
1 Citation (Scopus)

Anticipating habit formation: a psychological computing approach to behavior change support

Zhang, C., van Wissen, A., Lakens, D., Vanschoren, J., Ruyter, de, B. E. R. & IJsselsteijn, W. A., 2016, Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. New York: Association for Computing Machinery, Inc, p. 1247-1254

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Mobile computing
Costs
41 Citations (Scopus)

Aslib: a benchmark library for algorithm selection

Bischl, B., Kerschke, P., Kotthoff, L., Lindauer, M., Malitsky, Y., Fréchette, A., Hoos, H., Hutter, F., Leyton-Brown, K., Tierney, K. & Vanschoren, J., 2016, In : Artificial Intelligence. 237, p. 41-58 18 p.

Research output: Contribution to journalArticleAcademicpeer-review

scenario
Benchmark
artificial intelligence
Set theory
performance

AutoML 2016 Workshop Proceedings: Proceedings of the Workshop on Automatic Machine Learning, 24 June 2016, New York, New York, USA

Hutter, F. (ed.), Kotthoff, L. (ed.) & Vanschoren, J. (ed.), 2016, Proceedings of Machine Learning Research. (Proceedings of Machine Learning Research; vol. 64)

Research output: Book/ReportBook editingAcademicpeer-review

7 Citations (Scopus)

Having a blast : meta-learning and heterogeneous ensembles for data streams

van Rijn, J. N., Holmes, G., Pfahringer, B. & Vanschoren, J., 7 Jan 2016, 15th IEEE International Conference on Data Mining (ICDM 2015), 14-17 November 2015, Atlantic City, New Jersey. Piscataway: Institute of Electrical and Electronics Engineers, p. 1003-1008 6 p. 7373426

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Classifiers
Data mining
Experiments

Learning and Intelligent Optimization: 10th International Conference, LION 10, Ischia, Italy, May 29--June 1, 2016, Revised Selected Papers

Festa, P. (ed.), Sellmann, M. (ed.) & Vanschoren, J. (ed.), 2016, Berlin: Springer. (Lecture Notes in Computer Science; vol. 10079)

Research output: Book/ReportBook editingAcademicpeer-review

Mathematical programming
Artificial intelligence
Learning systems

Preface

Festa, P., Sellmann, M. & Vanschoren, J., 2016, In : Lecture Notes in Computer Science. 10079 LNCS, p. V-VI

Research output: Contribution to journalEditorialAcademicpeer-review

11 Citations (Scopus)

Reduction of false arrhythmia alarms using signal selection and machine learning

Eerikäinen, L. M., Vanschoren, J., Rooijakkers, M. J., Vullings, R. & Aarts, R. M., 2016, In : Physiological Measurement. 37, 8, p. 1204-1216

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Learning systems
Cardiac Arrhythmias
Electrocardiography
Noise
Ventricular Flutter
1 Citation (Scopus)

Toward understanding online sentiment expression: an interdisciplinary approach with subgroup comparison and visualization

Gao, B., Berendt, B. & Vanschoren, J., 1 Dec 2016, In : Social Network Analysis and Mining. 6, 1, 68

Research output: Contribution to journalArticleAcademicpeer-review

Social sciences
Metadata
visualization
Marketing
Visualization
2015
5 Citations (Scopus)

Algorithm selection via meta-learning and sample-based active testing

Abdulrahman, S. M., Brazdil, P., van Rijn, J. N. & Vanschoren, J., 2015, International Workshop on Meta-Learning and Algorithm Selection (MetaSel 2015, Porto, Portugal September 7, 2015; co-located with ECMLPKDD 2015). Vanschoren, J., Brazdil, P., Giraud-Carrier, C. & Kotthoff, L. (eds.). CEUR-WS.org, p. 55-66 (CEUR Workshop Proceedings; vol. 1455)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Testing
Learning algorithms
Learning systems
Experiments

Case study on bagging stable classifiers for data streams

van Rijn, J. N., Holmes, G., Pfahringer, B. & Vanschoren, J., 2015, BENELEARN 2015. 6 p. (Computing and Mathematical Sciences Papers, University of Waikato.)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Classifiers
Data mining
Decision trees
21 Citations (Scopus)

Decreasing the false alarm rate of arrhythmias in intensive care using a machine learning approach

Eerikäinen, L. M., Vanschoren, J., Rooijakkers, M. J., Vullings, R. & Aarts, R. M., 2015, 2015 Computing in Cardiology Conference (CinC), 6-9 September 2015, Nice, France. Piscataway: Institute of Electrical and Electronics Engineers, p. 293-296

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Learning systems
Cardiology
Intensive care units
Blood pressure
Electrocardiography
12 Citations (Scopus)

Effectiveness of random search in SVM hyper-parameter tuning

Gomes Mantovani, R., Rossi, A. L. D., Vanschoren, J., Bischl, B. & de Carvalho, A. C. P. L. F., 2015, Neural Networks (IJCNN), 2015 International Joint Conference on. Institute of Electrical and Electronics Engineers, p. 1-8 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Tuning
Learning systems
Classifiers
Costs
Experiments
17 Citations (Scopus)

Fast algorithm selection using learning curves

Rijn, van, J. N., Abdulrahman, S. M., Brazdil, P. & Vanschoren, J., 2015, Advances in Intelligent Data Analysis XIV (14th International Symposium, IDA 2015, Saint Etienne, France, October 22-24, 2015). Fromont, E., De Bie, T. & Leeuwen, van, M. (eds.). Dordrecht: Springer, p. 298-309 (Lecture Notes in Computer Science; vol. 9385)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Classifiers
Learning systems

International Workshop on Meta-Learning and Algorithm Selection (MetaSel 2015, Porto, Portugal September 7, 2015; co-located with ECMLPKDD 2015)

Vanschoren, J. (ed.), Brazdil, P. (ed.), Giraud-Carrier, C. (ed.) & Kotthoff, L. (ed.), 2015, Aachen: CEUR-WS.org.

Research output: Book/ReportBook editingAcademic

3 Citations (Scopus)

Meta-learning recommendation of default hyper-parameter values for SVMs in classification tasks

Gomes Mantovani, R., Rossi, A. L. D., Vanschoren, J. & Carvalho, A. C. P. L. F., 2015, International Workshop on Meta-Learning and Algorithm Selection (MetaSel 2015, Porto, Portugal September 7, 2015; co-located with ECMLPKDD 2015). Vanschoren, J., Brazdil, P., Giraud-Carrier, C. & Kotthoff, L. (eds.). CEUR-WS.org, p. 80-92 (CEUR Workshop Proceedings; vol. 1455)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Learning algorithms
Support vector machines
Learning systems
Tuning
Costs

OpenML : a networked science platform for machine learning

Vanschoren, J., van Rijn, J. N., Bischl, B. & Casalicchio, G., 2015, 2015 ICML Workshop on Machine Learning Open Source Software (MLOSS 2015), 10 Juli 2015, Lille, France. p. 1-3

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File

Predicting burglaries and other incidents

Srinivasan, K. & Technische Universiteit Eindhoven (TUE). Stan Ackermans Instituut. Software Technology (ST), 25 Sep 2015, Eindhoven: Technische Universiteit Eindhoven. 39 p.

Research output: ThesisPd Eng ThesisAcademic

Open Access
File
prediction
crime
import
comparative study
police

Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel 2015), Porto, Portugal, September 7, 2015

Vanschoren, J. (ed.), Brazdil, P. (ed.), Giraud-Carrier, C. (ed.) & Kotthoff, L. (ed.), 2015, CEUR-WS.org. (CEUR Workshop Proceedings; vol. 1455)

Research output: Book/ReportBook editingAcademicpeer-review

Proceedings of the International Workshop on Meta-learning and Algorithm Selection (MetaSel 2014), Prague, Czech Republic, August 19, 2014

Vanschoren, J. (ed.), Brazdil, P. (ed.), Giraud-Carrier, C. (ed.) & Kotthoff, L. (ed.), 2015, CEUR-WS.org. (CEUR Workshop proceedings; vol. 1201)

Research output: Book/ReportBook editingAcademicpeer-review

Sharing RapidMiner workflows and experiments with OpenML

Rijn, van, J. N. & Vanschoren, J., 2015, International Workshop on Meta-Learning and Algorithm Selection (MetaSel 2015, Porto, Portugal September 7, 2015; co-located with ECMLPKDD 2015). Vanschoren, J., Brazdil, P., Giraud-Carrier, C. & Kotthoff, L. (eds.). CEUR-WS.org, p. 93-103 (CEUR Workshop Proceedings; vol. 1455)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Learning systems
Experiments
Learning algorithms

Taking machine learning research online with OpenML.

Vanschoren, J., van Rijn, J. N. & Bischl, B., 2015, Proceedings of the 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications. p. 1-4 4 p. (JMLR Workshop and Conference Proceedings; vol. 41)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
9 Citations (Scopus)

To tune or not to tune : recommending when to adjust SVM hyper-parameters via Meta-learning

Gomes Mantovani, R., Rossi, A. L. D., Vanschoren, J., Bischl, B. & Carvalho, A. C. P. L. F., 2015, 2015 International Joint Conference on Neural Networks (IJCNN), 12-17 July 2015, Killarney, Ireland . Piscataway: Institute of Electrical and Electronics Engineers, p. 1-8 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Support vector machines
Learning systems
Costs
Neural networks

Towards a collaborative platform for advanced meta-learning in healthcare predictive analytics (Extended abstract)

Vukicevic, M., Radovanovic, S., Vanschoren, J., Napolitano, G. & Delibasic, B., 2015, International Workshop on Meta-Learning and Algorithm Selection (MetaSel 2015, Porto, Portugal September 7, 2015; co-located with ECMLPKDD 2015). Vanschoren, J., Brazdil, P., Giraud-Carrier, C. & Kotthoff, L. (eds.). CEUR-WS.org, p. 112-114 (CEUR Workshop Proceedings; vol. 1455)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Predictive analytics
1 Citation (Scopus)

Towards a data science collaboratory

Vanschoren, J., Bischl, B., Hutter, F., Sebag, M., Kegl, B., Schmid, M., Napolitano, G., Wolstencroft, K., Williams, A. R. & Lawrence, N., 2015, Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings. Fromont, E., de Bie, T. & van Leeuwen, M. (eds.). Cham: Springer, p. XIX-XXI 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
5 Citations (Scopus)

Who is more positive in private? : analyzing sentiment differences across privacy levels and demographic factors in Facebook chats and posts

Gao, B., Berendt, B. & Vanschoren, J., 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 25-28 August 2015, Paris, France. Piscataway: Institute of Electrical and Electronics Engineers, p. 605-610 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Social sciences
Metadata
Marketing
Testing
2014
18 Citations (Scopus)

Algorithm selection on data streams

Rijn, van, J. R., Holmes, G., Pfahringer, B. & Vanschoren, J., 2014, Discovery Science (17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings). Dzeroski, S., Panov, P., Kocev, D. & Todorovski, L. (eds.). Heidelberg: Springer, p. 325-336 (Lecture Notes in Computer Science; vol. 8777)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Classifiers
Experiments

Large-scale sensor network analysis: applications in structural health monitoring

Vanschoren, J., Vespier, U., Miao, S., Meeng, M., Cachucho, R. & Knobbe, A., 2014, Big Data Management, Technologies, and Applications. Hu, W. C. & Kaabouch, N. (eds.). Hershey: IGI Global, p. 314-347 34 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Proceedings of the International Workshop on Meta-learning and Algorithm Selection, Prague, Czech Republic, August 19, 2014

Vanschoren, J., Brazdil, P., Soares, C. & Kotthoff, L., 2014, CEUR-WS.org.

Research output: Book/ReportBookAcademic

Proceedings of the International Workshop on Meta-learning and Algorithm Selection (MetaSel 2014, Prague, Czech Republic, August 19, 2014)

Vanschoren, J. (ed.), Brazdil, P. (ed.), Soares, C. (ed.) & Kotthoff, L. (ed.), 2014, Aachen: CEUR-WS.org. 66 p.

Research output: Book/ReportBook editingAcademic

Towards meta-learning over data streams (abstract)

van Rijn, J. N., Holmes, G., Pfahringer, B. & Vanschoren, J., 2014, Meta-Learning and Algorithm Selection (MetaSel 2014, Prague, Czech Republic, August 19, 2014; co-located with ECAI 2014). Vanschoren, J., Soares, C. & Kotthoff, L. (eds.). CEUR-WS.org, p. 37-38 (CEUR Workshop Proceedings; vol. 1201)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

2013

A RapidMiner extension for open machine learning

Van Rijn, J. N., Umaashankar, V., Fischer, S., Bischl, B., Torgo, L., Gao, B., Winter, P., Wiswedel, B., Berthold, M. R. & Vanschoren, J., 2013, RapidMiner Community Meeting and Conference. p. 59-70 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access