Joaquin Vanschoren

Research output

Research output per year 2006 2020

• 669 Citations
• 45 Conference contribution
• 15 Article
• 9 Book editing
• 6 Chapter
• 7 More
  • 3 Paper
  • 2 Editorial
  • 1 Book
  • 1 Foreword/postscript

Research output per year

Research output per year

Search results

• 2020

  Beyond Bag-of-Concepts: Vectors of Locally Aggregated Concepts

  Grootendorst, M. & Vanschoren, J., 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Cham: Springer, p. 681-696 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11907 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • Feature Vector
  • Concepts
  • TF-IDF
  • Centroid
  • Labels

• The ABC of data: A classifying framework for data readiness

  Castelijns, L. A., Maas, Y. & Vanschoren, J., 2020, Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Proceedings. Cellier, P. & Driessens, K. (eds.). Springer, p. 3-16 14 p. (Communications in Computer and Information Science; vol. 1167 CCIS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

  File

  • Cleaning
  • Data Quality
  • Preprocessing
  • Framework
  • Machine Learning
  9 Downloads (Pure)
• 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 proceeding › Conference contribution › Academic › peer-review

  • Masks
  • Large dataset
  • Deep learning
  1 Downloads (Pure)
• 2017

  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 proceeding › Conference contribution › Academic › peer-review

  • Decision tree
  • Hyperparameters
  • Parameter Tuning
  • Decision Tree
  • Proof by induction
  17 Citations (Scopus)

  3 Downloads (Pure)

• 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 proceeding › Conference contribution › Academic › peer-review

  Open Access

  File

  • Trees (mathematics)
  • Pipelines
  • Machine learning
  • Genetic programming
  • Large dataset
  2 Citations (Scopus)

  90 Downloads (Pure)
• 2016

  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 proceeding › Conference contribution › Academic › peer-review

  • Mobile computing
  • Costs
  2 Citations (Scopus)

  2 Downloads (Pure)

• 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 proceeding › Conference contribution › Academic › peer-review

  • Classifiers
  • Data mining
  • Experiments
  16 Citations (Scopus)

  1 Downloads (Pure)
• 2015

  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 proceeding › Conference contribution › Academic › peer-review

  • Testing
  • Problem-Based Learning
  • Learning algorithms
  • Machine learning
  • Experiments
  6 Citations (Scopus)

  2 Downloads (Pure)

• 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 proceeding › Conference contribution › Academic › peer-review

  • Classifiers
  • Data mining
  • Decision trees

• 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 proceeding › Conference contribution › Academic › peer-review

  • Machine learning
  • Cardiology
  • Intensive care units
  • Blood pressure
  • Electrocardiography
  24 Citations (Scopus)

  6 Downloads (Pure)

• 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 proceeding › Conference contribution › Academic › peer-review

  • Tuning
  • Machine learning
  • Classifiers
  • Set theory
  • Costs
  24 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 proceeding › Conference contribution › Academic › peer-review

  • Classifiers
  • Machine learning
  24 Citations (Scopus)

  1 Downloads (Pure)

• 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 proceeding › Conference contribution › Academic › peer-review

  • Learning algorithms
  • Support vector machines
  • Machine learning
  • Tuning
  • Costs
  3 Citations (Scopus)

• 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 proceeding › Conference contribution › Academic › peer-review

  Open Access

  File
  203 Downloads (Pure)

• 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 proceeding › Conference contribution › Academic › peer-review

  • Machine learning
  • Experiments
  • Learning algorithms
  1 Citation (Scopus)

  1 Downloads (Pure)

• 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 proceeding › Conference contribution › Academic › peer-review

  Open Access

  File
  41 Downloads (Pure)

• 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 proceeding › Conference contribution › Academic › peer-review

  • Support vector machines
  • Machine learning
  • Costs
  • Set theory
  • Neural networks
  18 Citations (Scopus)

• 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 proceeding › Conference contribution › Academic › peer-review

  • Predictive analytics
  3 Downloads (Pure)

• 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 proceeding › Conference contribution › Academic › peer-review

  Open Access

  File
  1 Citation (Scopus)

  76 Downloads (Pure)

• 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 proceeding › Conference contribution › Academic › peer-review

  • Social sciences
  • Metadata
  • Marketing
  • Testing
  8 Citations (Scopus)
• 2014

  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 proceeding › Conference contribution › Academic › peer-review

  • Classifiers
  • Experiments
  25 Citations (Scopus)

• 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 proceeding › Conference contribution › Academic
• 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 proceeding › Conference contribution › Academic › peer-review

  Open Access

• Modeling sensor dependencies between multiple sensor types

  Miao, S., Vespier, U., Vanschoren, J., Knobbe, A. & Cachucho, R., 2013, Proceedings of BeneLearn.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

• OpenML: A collaborative science platform

  van Rijn, J. N., Bischl, B., Torgo, L., Gao, B., Umaashankar, V., Fischer, S., Winter, P., Wiswedel, B., Berthold, M. R. & Vanschoren, J., 2013, Joint European Conference on Machine Learning and Knowledge Discovery in Databases. p. 645-649 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  35 Citations (Scopus)
• 2012

  MDL-based analysis of time series at multiple time-scales

  Vespier, U., Knobbe, A., Nijssen, S. & Vanschoren, J., 2012, Joint European Conference on Machine Learning and Knowledge Discovery in Databases. p. 371-386 16 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  7 Citations (Scopus)

• MDL-based identification of relevant temporal scales in time series

  Vespier, U., Knobbe, A., Nijssen, S. & Vanschoren, J., 2012, Fifth workshop on Information Theoretic Methods in Science and Engineering (WITMSE-2012), 27-30 August 2012, Amsterdam, The Netherlands . p. 64 1 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

• Scientific workflow management with ADAMS

  Reutemann, P. & Vanschoren, J., 2012, Joint European Conference on Machine Learning and Knowledge Discovery in Databases. p. 833-837 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  7 Citations (Scopus)

• Selecting classification algorithms with active testing

  Leite, R., Brazdil, P. & Vanschoren, J., 2012, International Workshop on Machine Learning and Data Mining in Pattern Recognition. p. 117-131 15 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  52 Citations (Scopus)

• Selecting classification algorithms with active testing on similar datasets

  Leite, R., Brazdil, P. & Vanschoren, J., 2012, 5th Planning to Learn Workshop WS28 AT ECAI 2012, 27-31 Augutst 2012, Montpellier, France. p. 20 1 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  2 Citations (Scopus)

• The experiment database for machine learning

  Vanschoren, J., 2012, 5th Planning to Learn Workshop WS28 AT ECAI 2012, 27-31 August 2012, Montpellier, France. p. 30 1 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
• 2011

  Traffic events modeling for structural health monitoring

  Vespier, U., Knobbe, A., Vanschoren, J., Miao, S., Koopman, A., Obladen, B. & Bosma, C., 2011, International Symposium on Intelligent Data Analysis (IDA 2011), 29-31 October 2011, Porto, Portugal. p. 376-387 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

  File
  7 Citations (Scopus)

  43 Downloads (Pure)

• Visualizations of machine learning behavior with dimensionality reduction techniques

  Gao, B. & Vanschoren, J., 2011, Benelearn 2011. Proceedings of the Twentieth Belgian Dutch Conference on Machine Learning, 20 May 2011, The Hague, The Netherlands. p. 35-42 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
• 2010

  Collaborative meta-learning

  Vanschoren, J. & Soldatova, L., 2010, Planning to Learn workshop at the 2010 European Conference on Artificial Intelligence (ECAI 2010), 16-20 August 2010, Lisbon, Portugal. p. 37-46 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

• Exposé: An ontology for data mining experiments

  Vanschoren, J. & Soldatova, L., 2010, International workshop on third generation data mining: Towards service-oriented knowledge discovery (SoKD-2010). p. 31-46 16 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
• 2009

  A community-based platform for machine learning experimentation

  Vanschoren, J. & Blockeel, H., 2009, Joint European Conference on Machine Learning and Knowledge Discovery in Databases. p. 750-754 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  8 Citations (Scopus)

• Sistema de Autentificación Facial

  Bauzá, M., Vanschoren, J., Funes, M. P., Barrera, G. M. & López de Luise, D., 2009, Congreso De Inteligencia Computacional Aplicada (CICA).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

• Stand on the shoulders of giants. towards a portal for collaborative experimentation in data mining

  Vanschoren, J. & Blockeel, H., 2009, Proceedings of the SoKD-09 International Workshop on Third Generation Data Mining at ECML PKDD 2009. Vol. 1. p. 88-99 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  5 Citations (Scopus)
• 2008

  Experiment databases: Creating a new platform for meta-learning research

  Vanschoren, J., Blockeel, H., Pfahringer, B. & Holmes, G., 2008, ICML Workshop on Planning to Learn.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

• Investigating classifier learning behavior with experiment databases

  Vanschoren, J. & Blockeel, H., 2008, Data analysis, machine learning and applications: Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7–9, 2007. Preisach, C., Burkhardt, H. & Schmidt-Thieme, L. (eds.). Berlin: Springer, p. 421-428 8 p. (Studies in Classification, Data Analysis, and Knowledge Organization (STUDIES CLASS)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

  • Classifiers
  • Experiments
  • Learning systems
  3 Citations (Scopus)

• Learning from the past with experiment databases

  Vanschoren, J., Pfahringer, B. & Holmes, G., 2008, Pacific Rim International Conference on Artificial Intelligence. p. 485-496 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  7 Citations (Scopus)

• Organizing the world’s machine learning information

  Vanschoren, J., Blockeel, H., Pfahringer, B. & Holmes, G., 2008, International Symposium On Leveraging Applications of Formal Methods, Verification and Validation. p. 693-708 16 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  6 Citations (Scopus)
• 2007

  Experiment databases: Towards an improved experimental methodology in machine learning

  Blockeel, H. & Vanschoren, J., 2007, European Conference on Principles of Data Mining and Knowledge Discovery. p. 6-17 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  37 Citations (Scopus)

• Meta-learning from experiment databases : an illustration

  Vanschoren, J., Van Assche, A., Vens, C. & Blockeel, H., 2007, Benelearn 2007, Annual Machine Learning Conference of Belgium and The Netherlands. p. 120-127 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
• 2006

  Towards understanding learning behavior

  Vanschoren, J. & Blockeel, H., 2006, Proceedings of the annual machine learning conference of Belgium and the Netherlands. p. 89-96 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access