Christian Igel

Research output

Research output per year 1997 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2020

• 81 Article in proceedings
• 57 Journal article
• 17 Conference abstract in proceedings
• 14 Book chapter
• 45 More
  • 14 Conference abstract in journal
  • 5 Book
  • 5 Conference abstract for conference
  • 5 Editorial
  • 4 Conference article
  • 3 Paper
  • 3 Poster
  • 2 Encyclopedia chapter
  • 1 Report
  • 1 Report chapter
  • 1 Letter
  • 1 Review

Research output per year

Research output per year

Search results

• 2015

  Population Monte Carlo meets contrastive divergence learning

  Krause, O., Fischer, A. & Igel, C., 2015, Machine learning reports: Workshop New Challenges in Neural Computation 2015. Hammer, B., Martinetz, M. & Villmann, T. (eds.). p. 93-94 2 p.

  Research output: Chapter in Book/Report/Conference proceeding › Report chapter › Research › peer-review
• 2014

  Active learning with support vector machines

  Kremer, J., Pedersen, K. S. & Igel, C., 2014, In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 4, 4, p. 313-326 14 p.

  Research output: Contribution to journal › Review › peer-review

  • Problem-Based Learning 100%
  • Support vector machines 69%
  • Labels 29%
  • Labeling 16%
  • Websites 14%
  59 Citations (Scopus)

• Automatic FDG-PET-based tumor and metastatic lymph node segmentation in cervical cancer

  Rodríguez Arbonès, D., Jensen, H. G., Loft, A., af Rosenschöld, P. M., Hansen, A. E., Igel, C. & Darkner, S., 2014, Medical Imaging 2014: Image Processing. Ourselin, S. & Styner, M. A. (eds.). SPIE - International Society for Optical Engineering, 8 p. 903441. (Progress in Biomedical Optics and Imaging; No. 35, Vol. 15).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • tumor 100%
  • cancer 89%
  • segmentation 84%
  • urine 19%
  • histogram 19%
  2 Citations (Scopus)

• Buffer k-d trees: processing massive nearest neighbor queries on GPUs

  Gieseke, F. C., Heinermann, J., Oancea, C. E. & Igel, C., 2014, Proceedings of the 31^st International Conference on Machine Learning, Beijing, China, 2014. 9 p. (JMLR: Workshop and Conference Proceedings, Vol. 32).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Astronomy 100%
  • Nearest neighbor search 98%
  • Graphics processing unit 69%
  • Data structures 61%
  • Data storage equipment 45%
  19 Citations (Scopus)

  2317 Downloads (Pure)

• Dementia diagnosis using MRI cortical thickness, shape, texture, and volumetry

  Sørensen, L., Pai, A. S. U., Anker, C., Balas, I., Lillholm, M., Igel, C. & Nielsen, M., 2014, MICCAI 2014 Workshop Proceedings: Challenge on Computer-Aided Diagnosis of Dementia Based on Structural MRI Data. Bron, E. E., Smits, M., van Swieten, J. C., Niessen, W. J. & Klein, S. (eds.). Erasmus Universiteit Rotterdam, p. 111-118 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

• Improving the performance of photometric regression models via massive parallel feature selection

  Polsterer, K. L., Gieseke, F. C., Igel, C. & Goto, T., 2014, Astronomical Data Analysis Software and Systems XXIII. Manset, N. & Forshay, P. (eds.). Astronomical Society of the Pacific, Vol. 485. p. 425-428 4 p. (Astronomical Society of the Pacific. Conference Proceedings, Vol. 485).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

• Kernel-based machine learning techniques for infrasound signal classification

  Tuma, M., Igel, C. & Mialle, P., 2014, In: Geophysical Research Abstracts. 16, 11th European Geosciences Union General Assembly, 1 p., EGU2014-7720.

  Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  7 Downloads (Pure)

• No free lunch theorems: limitations and perspectives of metaheuristics

  Igel, C., 2014, Theory and principled methods for the design of metaheuristics. Borenstein, Y. & Moraglio, A. (eds.). Springer, p. 1-23 23 p. (Natural Computing Series).

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

  29 Citations (Scopus)

• Proceedings of the Sixteenth International Conference on Genetic and Evolutionary Computation (GECCO 2014)

  Igel, C. (ed.) & Arnold, D. (ed.), 2014, Association for Computing Machinery. 1450 p.

  Research output: Book/Report › Book › Research › peer-review

• Speedy greedy feature selection: better redshift estimation via massive parallelism

  Gieseke, F. C., Polsterer, K. L., Oancea, C. E. & Igel, C., 2014, ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (ed.). i6doc.com, p. 87-92 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Red Shift 100%
  • Astronomy 53%
  • Feature extraction 46%
  • Galaxies 28%
  • Graphics processing unit 18%
  7 Citations (Scopus)

• Support vector machines for active learning

  Kremer, J., Pedersen, K. S. & Igel, C., 2014, Second European Conference on Data Analysis: program & abstracts . p. 38 1 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

• Training restricted Boltzmann machines: an introduction

  Fischer, A. & Igel, C., Jan 2014, In: Pattern Recognition. 47, 1, p. 25-39 15 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  286 Citations (Scopus)

• Validation of hippocampal texture for early Alzheimer’s disease detection: generalization to independent cohorts and extrapolation to very early signs of dementia

  Sørensen, L., Igel, C., Hansen, N. L., Lauritzen, M., Osler, M., Rostrup, E. & Nielsen, M., 2014, In: Alzheimer's & Dementia. 10, 4, Supplement, p. P133 1 p.

  Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
• 2013

  A note on generalization loss when evolving adaptive pattern recognition systems

  Igel, C., 2013, In: I E E E Transactions on Evolutionary Computation. 17, 3, p. 345-352 8 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Pattern recognition systems 100%
  • Overfitting 97%
  • Pattern Recognition 81%
  • Machine learning 53%
  • Evolutionary Computing 40%
  4 Citations (Scopus)

• Approximation properties of DBNs with binary hidden units and real-valued visible units

  Krause, O., Fischer, A., Glasmachers, T. & Igel, C., 2013, Proceedings of the 30th International Conference on Machine Learning. Dasgupta, S. & McAllester, D. (eds.). p. 419-426 8 p. (JMLR: Workshop and Conference Proceedings, Vol. 28).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Belief Networks 100%
  • Approximation Property 61%
  • Binary 44%
  • Unit 41%
  • Exponential Family 21%
  7 Citations (Scopus)

• Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network

  Prasoon, A., Petersen, P. K., Igel, C., Lauze, F. B., Dam, E. B. & Nielsen, M., 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Mori, K., Sakuma, I., Sato, Y., Barillot, C. & Navab, N. (eds.). Springer, p. 246-253 8 p. (Lecture notes in computer science, Vol. 8150).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Cartilage 100%
  • Convolutional neural networks 69%
  • Deep learning 68%
  • Magnetic Resonance Imaging 43%
  • Learning systems 38%
  350 Citations (Scopus)

• Detection of traffic signs in real-world images: the German traffic sign detection benchmark

  Houben, S., Stallkamp, J., Salmen, J., Schlipsing, M. & Igel, C., 2013, Proceedings of International Joint Conference on Neural Networks. IEEE Computer Society Press, p. 715-722 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Traffic signs 100%
  • Advanced driver assistance systems 19%
  • Benchmarking 15%
  • Computer vision 12%
  • Detectors 11%
  305 Citations (Scopus)

• Echtzeit-Videoanalyse im Fußball

  Schlipsing, M., Salmen, J. & Igel, C., 2013, In: Kuenstliche Intelligenz. 27, 3, p. 235-240 6 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

• Femoral cartilage segmentation in knee MRI scans using two stage voxel classification

  Prasoon, A., Igel, C., Loog, M., Lauze, F. B., Dam, E. & Nielsen, M., 2013, 35th Annual International Conference of the IEEE; Engineering in Medicine and Biology Society (EMBC), 2013. IEEE, p. 5469-5472 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Cartilage 100%
  • Magnetic Resonance Imaging 86%
  • Support vector machines 61%
  • Classifiers 53%
  8 Citations (Scopus)

• GECCO '13: Proceedings of the 2013 Genetic and Evolutionary Computation Conference

  Blum, C. (ed.), Alba, E. (ed.), Auger, A. (ed.), Bacardit, J. (ed.), Bongard, J. (ed.), Branke, J. (ed.), Bredeche, N. (ed.), Brockhoff, D. (ed.), Chicano, F. (ed.), Dorin, A. (ed.), Doursat, R. (ed.), Ekart, A. (ed.), Friedrich, T. (ed.), Giacobini, M. (ed.), Harman, M. (ed.), Iba, H. (ed.), Igel, C. (ed.), Jansen, T. (ed.), Kovacs, T. (ed.), Kowaliw, T. (ed.), & 20 othersLopez-Ibanez, M. (ed.), Lozano, J. A. (ed.), Luque, G. (ed.), McCall, J. (ed.), Moraglio, A. (ed.), Motsinger-Reif, A. (ed.), Neumann, F. (ed.), Ochoa, G. (ed.), Olague, G. (ed.), Ong, Y-S. (ed.), Palmer, M. E. (ed.), Pappa, G. L. (ed.), Parsopoulos, K. E. (ed.), Schmickl, T. (ed.), Smith, S. L. (ed.), Solnon, C. (ed.), Stuetzle, T. (ed.), Talbi, E-G. (ed.), Tauritz, D. (ed.) & Vanneschi, L. (ed.), 2013, Association for Computing Machinery.

  Research output: Book/Report › Book › Research › peer-review

• Hippocampal texture predicts conversion from MCI to Alzheimer's disease

  Sørensen, L., Pai, A. S. U., Igel, C. & Nielsen, M., 2013, In: Alzheimer's & Dementia. 9, 4, Supplement, p. P581 1 p.

  Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

• Hippocampal texture predicts conversion from MCI to Alzheimer's disease

  Sørensen, L., Igel, C. & Nielsen, M., 2013, In: Alzheimer's & Dementia. 9, 4, Supplement, p. P52 1 p.

  Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

• Hippocampal texture predicts one-year hippocampal atrophy in mild cognitively impaired subjects

  Sørensen, L., Pai, A. S. U., Mysling, P., Darkner, S., Chen, G., Oh, J., Suhy, J., Igel, C. & Nielsen, M., 2013. 1 p.

  Research output: Contribution to conference › Poster › Research › peer-review

• Investigation of kernel-based machine learning techniques for infrasound signal classification

  Tuma, M. & Igel, C., 2013. 1 p.

  Research output: Contribution to conference › Poster › Research

• Joint optimization of a signal processing chain for hydroacoustic signal classification

  Tuma, M., Igel, C. & Prior, M., 2013. 1 p.

  Research output: Contribution to conference › Poster › Research

• Linear feature selection in texture analysis - A PLS based method

  Marques, J., Igel, C., Lillholm, M. & Dam, E., Oct 2013, In: Machine Vision & Applications. 24, 7, p. 1435-1444 10 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  2 Citations (Scopus)

• Nearest neighbor classification using bottom-k sketches

  Dahlgaard, S., Igel, C. & Thorup, M., 2013, 2013 IEEE International Conference on Big Data: proceedings. IEEE, p. 28-34 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Support vector machines 100%
  • Machine learning 91%
  • Classifiers 87%
  • Hash functions 73%
  1 Citation (Scopus)

• Nearest neighbour regression outperforms model-based prediction of specific star formation rate

  Stensbo-Smidt, K., Igel, C., Zirm, A. W. & Pedersen, K. S., 2013, 2013 IEEE International Conference on Big Data. IEEE, p. 141-144 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Stars 100%
  • Mean square error 90%
  • Red Shift 80%
  • Galaxies 68%
  • Astronomy 64%
  10 Citations (Scopus)

• Polynomial runtime bounds for fixed-rank unsupervised least-squares classification

  Gieseke, F. C., Pahikkala, T. & Igel, C., 2013, Asian Conference on Machine Learning. Ong, C. S. & Ho, T. B. (eds.). Vol. 29. p. 62-71 10 p. (JMLR: Workshop and Conference Proceedings, Vol. 29).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Support vector machines 100%
  • Polynomials 96%
  • Unsupervised learning 94%
  • Combinatorial optimization 91%
  1 Citation (Scopus)

  27 Downloads (Pure)

• Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computation (GECCO 2013)

  Blum, C. (ed.) & Igel, C. (ed.), 2013, Association for Computing Machinery. 1766 p.

  Research output: Book/Report › Book › Research › peer-review

• Shape index descriptors applied to texture-based galaxy analysis

  Pedersen, K. S., Stensbo-Smidt, K., Zirm, A. W. & Igel, C., 2013, 2013 IEEE International Conference on Computer Vision (ICCV). IEEE, p. 2440-2447 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • textures 100%
  • galaxies 87%
  • star formation rate 52%
  • histograms 52%
  • test stands 28%
  13 Citations (Scopus)

  4186 Downloads (Pure)

• Speeding up many-objective optimization by Monte Carlo approximations

  Bringmann, K., Friedrich, T., Igel, C. & Voß., T., 2013, In: Artificial Intelligence. 204, p. 22-29 8 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Approximation 100%
  • Ranking 33%
  • ranking 28%
  • Practice Theory 20%
  • Benchmark 19%
  24 Citations (Scopus)

• The flip-the-state transition operator for restricted Boltzmann machines

  Brügge, K., Fischer, A. & Igel, C., Oct 2013, In: Machine Learning. 93, 1, p. 53-69 17 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Markov chains 100%
  • Mathematical operators 93%
  • Sampling 71%
  • Learning algorithms 56%
  • Tempering 38%
  14 Citations (Scopus)
• 2012

  An introduction to restricted Boltzmann machines

  Fischer, A. & Igel, C., 2012, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 17th Iberoamerican Congress, CIARP 2012, Buenos Aires, Argentina, September 3-6, 2012. Proceedings. Alvarez, L., Mejail, M., Gomez, L. & Jacobo, J. (eds.). Springer, p. 14-36 23 p. (Lecture notes in computer science, Vol. 7441).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Markov chains 100%
  • Learning algorithms 56%
  • Monte Carlo methods 36%
  • Learning systems 34%
  • Bayesian networks 34%
  304 Citations (Scopus)

• A note on extending generalization bounds for binary large-margin classifiers to multiple classes

  Dogan, Ü., Glasmachers, T. & Igel, C., 2012, Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I. Flach, P. A., Bie, T. D. & Cristianini, N. (eds.). Springer, p. 122-129 8 p. (Lecture notes in computer science, Vol. 7523).

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

  • Classifiers 100%
  • Textbooks 58%
  2 Citations (Scopus)

• Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

  Prasoon, A., Igel, C., Loog, M., Lauze, F. B., Dam, E. & Nielsen, M., 2012, Medical Imaging 2012: Image Processing. Haynor, D. R. & Ourselin, S. (eds.). SPIE - International Society for Optical Engineering, Vol. 8314. 9 p. 83144V. (SPIE Proceedings, Vol. 8314).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Cartilage 100%
  • Classifiers 53%
  • Medical imaging 43%
  • Support vector machines 20%
  • Magnetic Resonance Imaging 14%
  3 Citations (Scopus)

• Evolutionary kernel machines

  Kramer, O., Igel, C. & Rudolph, G., Sept 2012, In: Evolutionary Intelligence. 5, 3, p. 151-152 2 p.

  Research output: Contribution to journal › Editorial

• Hippocampal texture provides volume independent information for Alzheimer's diagnosis

  Sørensen, L., Pai, A. S. U., Darkner, S., Suhy, J., Oh, J., Chen, G., Igel, C. & Nielsen, M., 2012, In: Alzheimer's & Dementia. 8, 4, Supplement, p. 15 1 p., IC-P-013.

  Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

• Hippocampal texture provides volume-independent information for Alzheimer's disease diagnosis

  Sørensen, L., Pai, A. S. U., Darkner, S., Suhy, J., Oh, J., Chen, G., Igel, C. & Nielsen, M., 2012, In: Alzheimer's & Dementia. 8, 4, Supplement, p. P162–P163 2 p.

  Research output: Contribution to journal › Conference abstract in journal › Research

• Hydroacoustic signal classification using support vector machines

  Tuma, M., Igel, C. & Prior, M., 2012, Signal and image processing for remote sensing: Second Edition. Chen, C. H. (ed.). 2 ed. CRC Press, p. 37-56 20 p.

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

• Introduction to the special issue on machine learning for traffic sign recognition

  Stallkamp, J., Schlipsing, M., Salmen, J. & Igel, C., 2012, In: I E E E Transactions on Intelligent Transportation Systems. 13, 4, p. 1481-1483 3 p.

  Research output: Contribution to journal › Editorial

  4 Citations (Scopus)

• Learning ∈ artificial intelligence ∩ cognitive technologies ∩ neural computation ∩ …

  Igel, C., 1 Aug 2012, In: Kuenstliche Intelligenz. 26, 3, p. 209-212 4 p.

  Research output: Contribution to journal › Editorial

• Man vs. computer: benchmarking machine learning algorithms for traffic sign recognition

  Stallkamp, J., Schlipsing, M., Salmen, J. & Igel, C., Aug 2012, In: Neural Networks. 32, p. 323-332 10 p.

  Research output: Contribution to journal › Conference article › Research › peer-review

  542 Citations (Scopus)

• Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation (GECCO 2012)

  Soule, T. (ed.), Auger, A. (ed.), Blum, C. (ed.), Branke, J. (ed.), Bredeche, N. (ed.), Browne, W. N. (ed.), Clark, J. A. (ed.), Deb, K. (ed.), Dorin, A. (ed.), Doursat, R. (ed.), Ekart, A. (ed.), Friedrich, T. (ed.), Gustafson, S. (ed.), Hornby, G. S. (ed.), Igel, C. (ed.), Kovacs, T. (ed.), Landa-Silva, D. (ed.), Lobo, F. G. (ed.), Pappa, G. L. (ed.), Lozano, J. A. (ed.), & 18 othersMeyer-Nieberg, A. (ed.), Motsinger, A. (ed.), Neumann, F. (ed.), Ochoa, G. (ed.), Olague, G. (ed.), Ong, Y-S. (ed.), Pelikan, M. (ed.), Pelta, D. (ed.), Pizzuti, C. (ed.), Preuss, M. (ed.), Rowe, J. (ed.), Smith, S. L. (ed.), Solnon, C. (ed.), Squillero, G. (ed.), Tauritz, D. (ed.), Wong, M. L. (ed.), Yoo, S. (ed.) & Yu, T. (ed.), 2012, Association for Computing Machinery. 1368 p.

  Research output: Book/Report › Book › Research › peer-review

• Towards exaggerated emphysema stereotypes

  Chen, C., Sørensen, L., Lauze, F. B., Igel, C., Loog, M., Feragen, A., de Bruijne, M. & Nielsen, M., 2012, Medical Imaging 2012: Computer-Aided Diagnosis. van Ginneken, B. & Novak, C. L. (eds.). SPIE - International Society for Optical Engineering, 13 p. 83150Q. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 7964). (Progress in Biomedical Optics and Imaging; No. 31, Vol. 13).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Classifiers 100%
  • Tissue 80%
  • Steepest descent method 59%
  • Normal distribution 52%
  • Tomography 45%
  1 Citation (Scopus)

• Turning binary large-margin bounds into multi-class bounds

  Dogan, Ü., Glasmachers, T. & Igel, C., 2012. 2 p.

  Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
• 2011

  Bounding the bias of contrastive divergence learning

  Fischer, A. & Igel, C., Mar 2011, In: Neural Computation. 23, 3, p. 664-673 10 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Ludwig Boltzmann 100%
  • Contrastive 83%
  • Divergence 68%
  • Learning 53%
  • Sampling 25%
  34 Citations (Scopus)

• Fast training of multi-class support vector machines

  Dogan, Ü., Glasmachers, T. & Igel, C., 2011, University of Copenhagen. 19 p. (Koebenhavns Universitet. Datalogisk Institut. Rapport; No. 03, Vol. 2011).

  Research output: Book/Report › Report › Research

  1083 Downloads (Pure)

• Huge music archives on mobile devices: toward an automated dynamic organization

  Blume, H., Bischl, B., Botteck, M., Igel, C., Martin, R., Rötter, G., Rudolph, G., Theimer, W., Vatolkin, I. & Weihs, C., 2011, In: IEEE Signal Processing Magazine. 28, 4, p. 24-39 16 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Mobile Devices 100%
  • Archives 78%
  • Music 70%
  • Mobile computing 46%
  • Hardware Architecture 32%
  7 Citations (Scopus)

• Improved working set selection for LaRank

  Tuma, M. & Igel, C., 2011, Computer Analysis of Images and Patterns: 14th International Conference, CAIP 2011 Seville, Spain, August 29-31, 2011 Proceedings, Part I. Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A. & Kropatsch, W. (eds.). Springer, p. 327-334 8 p. (Lecture notes in computer science, Vol. 6854).

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

  • Support vector machines 100%
  • Set theory 79%
  • Experiments 44%
  1 Citation (Scopus)