Professor Alex Gammerman

  1. 2019
  2. Forthcoming

    Computationally efficient versions of conformal predictive distributions

    Vovk, V., Petej, I., Nouretdinov, I., Manokhin, V. & Gammerman, A., 9 Oct 2019, (Accepted/In press) In : Neurocomputing. 31 p.

    Research output: Contribution to journalArticle

  3. Published

    Combination of inductive mondrian conformal predictors

    Toccaceli, P. & Gammerman, A., Mar 2019, In : Machine Learning. 108, 3, p. 489–510 22 p.

    Research output: Contribution to journalArticle

  4. 2018
  5. E-pub ahead of print

    Conformal Predictive Distributions with Kernels

    Vovk, V., Nouretdinov, I., Manokhin, V. & Gammerman, A., 23 Aug 2018, Braverman Readings in Machine Learning. Key Ideas from Inception to Current State - International Conference Commemorating the 40th Anniversary of Emmanuil Braverman’s Decease, Invited Talks. Springer-Verlag, Vol. 11100 . p. 103-121 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11100 LNAI).

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

  6. Published

    Cross-conformal predictive distributions

    Vovk, V., Nouretdinov, I., Manokhin, V. & Gammerman, A., Jun 2018, Proceedings of Machine Learning Research. Gammerman, A., Vovk, V., Luo, Z., Smirnov, E. & Peeters, R. (eds.). Vol. 91. p. 37-51 15 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  7. Published

    Inductive Venn-Abers Predictive Distribution

    Nouretdinov, I., Volkhonskiy, D., Lim, P., Toccaceli, P. & Gammerman, A., Jun 2018, 7th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2018). Vol. 91. p. 15-36 22 p. (Proceedings of Machine Learning Research).

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

  8. 2017
  9. Published

    Conformal prediction of biological activity of chemical compounds

    Toccaceli, P., Nouretdinov, I. & Gammerman, A., Oct 2017, In : Annals of Mathematics and Artificial Intelligence. 81, 1-2, p. 105–123 19 p.

    Research output: Contribution to journalArticle

  10. Published

    Criteria of efficiency for set-valued classification

    Vovk, V., Nouretdinov, I., Fedorova, V., Petej, I. & Gammerman, A., Oct 2017, In : Annals of Mathematics and Artificial Intelligence. 81, 1-2, p. 21-46 26 p.

    Research output: Contribution to journalArticle

  11. Published

    Combination of Conformal Predictors for Classification

    Toccaceli, P. & Gammerman, A., 13 Jun 2017, Proceedings of Machine Learning Research. Lawrence, N. & Reid, M. (eds.). Vol. 60. p. 39-61 23 p. (The Proceedings of Machine Learning Research; vol. 60).

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

  12. Published

    Valid Probabilistic Prediction of Life Status after Percutaneous Coronary Intervention procedure

    Volkhonskiy, D., Nouretdinov, I., Gammerman, A. & Lim, P., Jun 2017, 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017).

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

  13. Published

    Inductive Conformal Martingales for Change-Point Detection

    Volkhonskiy, D., Burnaev, E., Nouretdinov, I., Gammerman, A. & Vovk, V., 2017, 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017). p. 1-22 22 p.

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

  14. 2016
  15. Published

    Conformal Predictors for Compound Activity Prediction

    Toccaceli, P., Nouretdinov, I. & Gammerman, A., 17 Apr 2016, Conformal and Probabilistic Prediction with Applications: 5th International Symposium, COPA 2016 Madrid, Spain, April 20–22, 2016 Proceedings. Springer, Vol. 9653. p. 51-66 16 p. (Lecture Notes in Computer Science; vol. 9653).

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

  16. Published

    Criteria of Efficiency for Conformal Prediction

    Vovk, V., Fedorova, V., Nouretdinov, I. & Gammerman, A., 17 Apr 2016, Conformal and Probabilistic Prediction with Applications: 5th International Symposium, COPA 2016 Madrid, Spain, April 20–22, 2016 Proceedings. Springer, Vol. 9653. p. 23-39 17 p. (Lecture Notes in Computer Science; vol. 9653).

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

  17. 2015
  18. Published

    Hypergraphical Conformal Predictors

    Fedorova, V., Gammerman, A., Nouretdinov, I. & Vovk, V., 21 Dec 2015, In : International Journal on Artificial Intelligence Tools. 24, 6, 1560003.

    Research output: Contribution to journalArticle

  19. Published

    Alexey Chervonenkis's Bibliography: Introductory Comments

    Gammerman, A. & Vovk, V., Sep 2015, In : Journal of Machine Learning Research. 16, p. 2051-2066 16 p.

    Research output: Contribution to journalEditorial

  20. Published

    Alexey Chervonenkis's Bibliography

    Gammerman, A. & Vovk, V., Sep 2015, In : Journal of Machine Learning Research. 16, p. 2067-2080 14 p.

    Research output: Contribution to journalEditorial

  21. Published

    Preface to this Special Issue

    Gammerman, A. & Vovk, V., Sep 2015, In : Journal of Machine Learning Research. 16, p. 1677-1681 5 p.

    Research output: Contribution to journalEditorial

  22. Published

    Multiprobabilistic prediction in early medical diagnoses

    Nouretdinov, I., Devetyarov, D., Vovk, V., Burford, B., Camuzeaux, S., Gentry-Maharaj, A., Tiss, A., Smith, C., Luo, Z., Chervonenkis, A., Hallett, R., Waterfield, M., Cramer, R., Timms, J. F., Jacobs, I. & Gammerman, A., Jun 2015, In : Annals of Mathematics and Artificial Intelligence. 74, 1-2, p. 203-222 20 p.

    Research output: Contribution to journalArticle

  23. Published

    Conformal Anomaly Detection of Trajectories with a Multi-class Hierarchy

    Smith, J., Nouretdinov, I., Craddock, R., Offer, C. & Gammerman, A., 3 Apr 2015, Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Gammerman, A., Vovk, V. & Papadopoulos, H. (eds.). Springer, p. 281-290 10 p. (Lecture Notes in Computer Science; vol. 9047).

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

  24. Published

    Conformal Clustering and Its Application to Botnet Traffic

    Cherubin, G., Nouretdinov, I., Gammerman, A., Jordaney, R., Wang, Z., Papini, D. & Cavallaro, L., 3 Apr 2015, Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Gammerman, A., Vovk, V. & Papadopoulos, H. (eds.). Springer, p. 313-322 10 p. (Lecture Notes in Computer Science; vol. 9047).

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

  25. 2014
  26. Published

    Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction

    Smith, J., Nouretdinov, I., Craddock, R., Offer, C. & Gammerman, A., 19 Sep 2014, Artificial Intelligence Applications and Innovations: AIAI2014 Workshops. Rhodes, Greece: Springer, p. 271-280 10 p.

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

  27. Published

    Biomedical Applications: Diagnostic and Prognostic

    Nouretdinov, I., Bellotti, T. & Gammerman, A., 2014, Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications. Balasubramanian, V., Ho, S-S. & Vovk, V. (eds.). Elsevier, p. 217-230 14 p. 11

    Research output: Chapter in Book/Report/Conference proceedingChapter

  28. Published

    Criteria of efficiency for conformal prediction

    Vovk, V., Fedorova, V., Nouretdinov, I. & Gammerman, A., 2014, On-line Compression Modelling Project (New Series), 19 p.

    Research output: Working paper

  29. Published

    Feature Selection

    Bellotti, T., Nouretdinov, I., Yang, M. & Gammerman, A., 2014, Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications. Balasubramanian, V., Ho, S-S. & Vovk, V. (eds.). Elsevier, p. 115-130 16 p. 6

    Research output: Chapter in Book/Report/Conference proceedingChapter

  30. Published

    SVM Venn Machine with k-Means Clustering

    Zhou, C., Nouretdinov, I., Luo, Z. & Gammerman, A., 2014, Artificial Intelligence Applications and Innovations: AIAI2014 Workshops. Rhodes, Greece, p. 251-260 10 p.

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

  31. 2013
  32. Published

    Conformal prediction under hypergraphical models

    Fedorova, V., Gammerman, A., Nouretdinov, I. & Vovk, V., Oct 2013, The 9th Artificial Intelligence Applications and Innovations Conference (AIAI): 2nd Workshop on Conformal Prediction and its Applications. p. 371-383 13 p.

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

  33. 2012
  34. Published

    Reliable Probability Estimates Based on Support Vector Machines for Large Multiclass Datasets

    Lambrou, A., Papadopoulos, H., Nouretdinov, I. & Gammerman, A., Sep 2012, Artificial Intelligence Applications and Innovations - AIAI 2012 International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB, Proceedings.. Halkidiki, Greece, Vol. II. p. 182-191 10 p.

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

  35. Published

    Valid predictions with confidence estimation in an air pollution problem.

    Ivina, O., Nouretdinov, I. & Gammerman, A., 17 Jun 2012, In : Progress in Artificial Intelligence. 1, p. 235-243 9 p.

    Research output: Contribution to journalArticle

  36. Published

    Testing and Clustering with Gauss Linear Assumption for a Household Data

    Fedorova, V., Ivin, E., Nouretdinov, I. & Gammerman, A., 7 May 2012, 11 p. SLDS 2012: Symposium on Learning and Data Science.

    Research output: Other contribution

  37. Published

    Conformal predictors in early diagnostics of ovarian and breast cancers

    Devetyarov, D., Nouretdinov, I., Burford, B., Camuzeaux, S., Gentry-Maharaj, A., Tiss, A., Smith, C., Luo, Z., Chervonenkis, A., Hallett, R., Vovk, V., Waterfield, M., Cramer, R., Timms, J. F., Sinclair, J., Menon, U., Jacobs, I. & Gammerman, A., 2012, In : Progress in Artificial Intelligence. 1, p. 245 - 257 13 p.

    Research output: Contribution to journalArticle

  38. Forthcoming

    Determining Confidence of Predicted Interactions Between HIV-1 and Human Proteins Using Conformal Method

    Nouretdinov, I., Gammerman, A., Qi, Y. & Klein-Seetharaman, J., 2012, (Accepted/In press) Pacific Symposium on Biocomputing. Vol. 17. p. 311-322 12 p.

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

  39. Published

    Multiprobabilistic Venn Predictors with Logistic Regression

    Nouretdinov, I., Devetyarov, D., Burford, B., Camuzeaux, S., Gentry-Maharaj, A., Tiss, A., Smith, C., Luo, Z., Chervonenkis, A., Hallett, R., Vovk, V., Waterfield, M., Cramer, R., Timms, J. F., Jacobs, I., Menon, U. & Gammerman, A., 2012, Artificial Intelligence Applications and Innovations - AIAI 2012 International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part II. Iliadis, L., Maglogiannis, I., Papadopoulos, H., Karatzas, K. & Sioutas, S. (eds.). Springer, Vol. 382. (IFIP Advances in Information and Communication Technology).

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

  40. Published

    Plug-in martingales for testing exchangeability on-line

    Fedorova, V., Gammerman, A., Nouretdinov, I. & Vovk, V., 2012, Proceedings of the 29th International Conference on Machine Learning (ICML-12). Langford, J. & Pineau, J. (eds.). Omnipress, p. 1639-1646 8 p.

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

  41. Published

    Testing the Gauss linear assumption for on-line predictions

    Fedorova, V., Nouretdinov, I. & Gammerman, A., 2012, In : Progress in Artificial Intelligence. 1, 3, p. 205-213 9 p.

    Research output: Contribution to journalArticle

  42. 2011
  43. Published

    Early detection of ovarian cancer in samples pre-diagnosis using CA125 and MALDI-MS peaks

    Timms, J. F., Menon, U., Devetyarov, D., Tiss, A., Camuzeaux, S., McCurrie, K., Nouretdinov, I., Burford, B., Smith, C., Gentry-Maharaj, A., Hallett, R., Ford, J., Luo, Z., Vovk, V., Gammerman, A., Cramer, R. & Jacobs, I., Nov 2011, In : Cancer Genomics and Proteomics. 8, 6, p. 289-305

    Research output: Contribution to journalArticle

  44. Published

    Conformal prediction and testing exchangeability assumption

    Fedorova, V., Nouretdinov, I. & Gammerman, A., Jul 2011, p. 35. 1 p.

    Research output: Contribution to conferenceAbstract

  45. Published

    Non-conformity measures in multi-class prediction

    Nouretdinov, I., Santos, M. & Gammerman, A., Jul 2011, p. 57. 1 p.

    Research output: Contribution to conferenceAbstract

  46. Published

    Valid prediction with confidence estimation in air pollution problem

    Ivina, O., Nouretdinov, I. & Gammerman, A., Jul 2011, p. 45. 1 p.

    Research output: Contribution to conferenceAbstract

  47. Published

    Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression

    Nouretdinov, I., Costafreda, S. G., Gammerman, A., Chervonenkis, A., Vovk, V., Vapnik, V. & Fu, C. H. Y., 15 May 2011, In : NeuroImage. 56, 2, p. 809-813 5 p.

    Research output: Contribution to journalArticle

  48. Published

    Regression conformal prediction with nearest neighbours

    Papadopoulos, H., Vovk, V. & Gammerman, A., Apr 2011, In : Journal of Artificial Intelligence Research. 40, p. 815-840 26 p.

    Research output: Contribution to journalArticle

  49. Published

    A Comparison of Venn Machine with Platt's Method in Probabilistic Outputs

    Zhou, C., Nouretdinov, I., Luo, Z., Adamskiy, M., Coldham, N. & Gammerman, A., 2011, 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, Artificial Intelligence Applications and Innovations 2011, Corfu, Greece, September 15-18, 2011, Proceedings , Part II. . p. 483-

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

  50. Published

    Applying Conformal Prediction to the Bovine TB Diagnosing

    Adamskiy, M., Nouretdinov, I., Mitchell, A., Coldham, N. & Gammerman, A., 2011, 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, Artificial Intelligence Applications and Innovations 2011, Corfu, Greece, September 15--18, 2011, Proceedings , Part II. . p. 449-

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

  51. Forthcoming

    Conformal prediction in semi-supervised case

    Adamskiy, M., Nouretdinov, I. & Gammerman, A., 2011, (Accepted/In press) Post-Symposium book 'Statistical learning and Data Science'. Paris: Chapman and Hall

    Research output: Chapter in Book/Report/Conference proceedingChapter

  52. Forthcoming

    Conformal predictions for electronic nose system: an application to tea classification

    Nouretdinov, I., Li, G., Gammerman, A. & Luo, Z., 2011, (Accepted/In press) In : International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications. 10 p.

    Research output: Contribution to journalArticle

  53. Published

    Feature Selection by Conformal Predictor

    Yang, M., Nouretdinov, I., Luo, Z. & Gammerman, A., 2011, 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, Artificial Intelligence Applications and Innovations 2011, Corfu, Greece, September 15-18, 2011, Proceedings, Part II. . p. 449-

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

  54. 2010
  55. Published

    Peptides generated ex vivo from serum proteins by tumour-specific exopeptidases are not useful biomarkers in ovarian cancer

    Timms, J. F., Cramer, R., Camuzeaux, S., Tiss, A., Smith, C., Burford, B., Nouretdinov, I., Devetyarov, D., Gentry-Maharaj, A., Ford, J., Luo, Z., Gammerman, A., Menon, U. & Jacobs, I., 2010, In : Clinical Chemistry. 56, p. 262-271

    Research output: Contribution to journalArticle

  56. Published

    Predictions controlees en apprentissage automatique

    Gammerman, A. & Vovk, V., 2010, In : La Revue Modulad. 42, p. 16-33 18 p.

    Research output: Contribution to journalArticle

  57. 2009
  58. Published

    On-line predictive linear regression

    Vovk, V., Nouretdinov, I. & Gammerman, A., Jun 2009, In : The Annals of Statistics. 37, 3, p. 1566-1590 25 p.

    Research output: Contribution to journalArticle

  59. Published

    Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer

    Gammerman, A., Vovk, V., Burford, B., Nouretdinov, I., Luo, Z., Chervonenkis, A., Waterfield, M., Cramer, R., Tempst, P., Villanueva, J., Kabir, M., Camuzeaux, S., Timms, J., Menon, U. & Jacobs, I., May 2009, In : The Computer Journal. 52, 3, p. 326-333 8 p.

    Research output: Contribution to journalArticle

  60. Published
  61. Published

    Application of Inductive Confidence Machine to ICMLA competition data

    Nouretdinov, I., Burford, B. & Gammerman, A., 2009, Proceedings of The Eighth International Conference on Machine Learning and Applications. p. 435-438 4 p.

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

  62. Published

    Conditional prediction intervals for linear regression

    McCullagh, P., Vovk, V., Nouretdinov, I., Devetyarov, D. & Gammerman, A., 2009, Proceedings of the International Conference on Machine Learning and Applications. p. 131-138 8 p.

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

  63. Published

    Confidence Machine and its application to medical diagnosis

    Devetyarov, D., Nouretdinov, I. & Gammerman, A., 2009, International Conference on Bioinformatics and Computational Biology. p. 448-454 7 p.

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

  64. Published

    Confidence Predictions for the Diagnosis of Acute Abdominal Pain

    Papadopoulos, H., Gammerman, A. & Vovk, V., 2009, Artificial Intelligence Applications & Innovations III. Iliadis, L., Vlahavas, I. & Bramer, M. (eds.). Springer, Vol. 296. p. 175-184 10 p. (IFIP International Federation for Information Processing; vol. 296).

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

  65. Published

    Online Prediction of Ovarian Cancer

    Zhdanov, F., Vovk, V., Burford, B., Devetyarov, D., Nouretdinov, I. & Gammerman, A., 2009, Proceedings of the 12th Conference on Artificial Intelligence in Medicine. p. 375-379 5 p.

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

  66. Published

    Reliable diagnosis of acute abdominal pain with conformal prediction

    Papadopoulos, H., Gammerman, A. & Vovk, V., 2009, In : International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications. 17, 2-3, p. 127-137 11 p.

    Research output: Contribution to journalArticle

  67. 2008
  68. Published

    Predicting clinical outcome in patients diagnosed with synchronous ovarian and endometrial cancer

    Ramus, S. J., Elmasry, K., Luo, Z., Gammerman, A., Lu, K., Ayhan, A., Singh, N., McCluggage, G., Jacobs, I. J., Whittaker, J. C. & Gayther, S. A., 15 Sep 2008, In : Clinical Cancer Research. 14, 18, p. 5840-5848

    Research output: Contribution to journalArticle

  69. Published

    Clinical mass spectrometry proteomic diagnosis by conformal predictors

    Gammerman, A., Nouretdinov, I., Burford, B., Chervonenkis, A., Vovk, V. & Luo, Z., Jul 2008, In : Statistical Applications in Genetics and Molecular Biology. 7, 2, 13.

    Research output: Contribution to journalArticle

  70. Published

    Normalized nonconformity measures for regression conformal prediction

    Papadopoulos, H., Gammerman, A. & Vovk, V., 2008, Proceedings of the IASTED International Conference on Articial Intelligence and Applications. p. 64-69 6 p.

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

  71. 2007
  72. Published

    Hedging predictions in machine learning - The second Computer Journal Lecture

    Gammerman, A. & Vovk, V., Mar 2007, In : The Computer Journal. 50, 2, p. 151-163 13 p.

    Research output: Contribution to journalArticle

  73. Published

    Rejoinder - Hedging predictions in machine learning

    Gammerman, A. & Vovk, V., Mar 2007, In : The Computer Journal. 50, 2, p. 173-177 5 p.

    Research output: Contribution to journalEditorial

  74. Published

    Conformal prediction with Neural Networks

    Papadopoulos, H., Vovk, V. & Gammerman, A., 2007, Proceedings of the Nineteenth IEEE International Conference on Tools with Artificial Intelligence. Vol. 2. p. 388-395 8 p.

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

  75. Published

    Preanalytic Influence of Sample Handling on SELDI-TOF Serum Protein Profiles

    Timms, J. F., Arslan-Low, E., Gentry-Maharaj, A., Luo, Z., T'Jampens, D., Podust, V. N., Ford, J., Fung, E. T., Gammerman, A., Jacobs, I. & Menon, U., 2007, In : Clinical Chemistry. 53, p. 645-656

    Research output: Contribution to journalArticle

  76. Published

    Validation of a Seven Serum Biomarker Panel in Ovarian Cancer

    Timms, J. F., Arslan-Low, E., Cubizolles, M., Lomas, L., Yip, C., Meng, X-Y., Hogdall, E., Gentry-Maharaj, A., Ford, J., Burford, B., Nouretdinov, I., Vovk, V., Luo, Z., Menon, U., Gammerman, A., Fung, E. T. & Jacobs, I., 2007, Proceedings of the 15th International Meeting of the European Society of Gynaecological Oncology.

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

  77. 2006
  78. Published

    Hedging predictions in machine learning

    Gammerman, A. & Vovk, V., 2 Nov 2006.

    Research output: Working paper

  79. Published

    Reliable Classification of Acute Leukaemia from Gene Expression Data using Confidence Machines

    Bellotti, T., Luo, Z. & Gammerman, A., 2006, IEEE International Conference on Granular Computing. IEEE, p. 148-153

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

  80. 2005
  81. Published

    On-line predictive linear regression

    Vovk, V., Nouretdinov, I. & Gammerman, A., 21 Nov 2005.

    Research output: Working paper

  82. Published

    Prospective gene expression analysis accurately subtypes acute leukaemia in children and establishes a commonality between hyperdiploidy and t(12;21) in acute lymphoblastic leukaemia

    van Delft, F. W., Bellotti, T., Luo, Z., Jones, L. K., Patel, N., Yiannikouris, O., Hill, A. S., Hubank, M., Kempski, H., Fletcher, D., Chaplin, T., Foot, N., Young, B. D., Hann, I. M., Gammerman, A. & Saha, V., Aug 2005, In : British Journal of Haematology. 130, 1, p. 26-35

    Research output: Contribution to journalArticle

  83. Published

    Algorithmic Learning in a Random World

    Vovk, V., Gammerman, A. & Shafer, G., 2005, Springer.

    Research output: Book/ReportBook

  84. Published

    Plant promoter prediction with confidence estimation

    Shahmuradov, I. A., Solovyev, V. V. & Gammerman, A. J., 2005, In : Nucleic Acids Research. 33, 3, p. 1069-1076 8 p.

    Research output: Contribution to journalArticle

  85. Published

    Qualified Predictions for Microarray and Proteomics Pattern Diagnostics with Confidence Machines

    Bellotti, T., Luo, Z., Gammerman, A., Van Delft, F. & Saha, V., 2005, In : International Journal of Neural Systems. 15, 4, p. 247-258

    Research output: Contribution to journalArticle

  86. 2004
  87. Published

    Data classication apparatus and method thereof

    Gammerman, A. & Vovk, V., Jul 2004, Patent No. 1129428

    Research output: Patent

  88. 2003
  89. Published

    Sequence alignment kernel for recognition of promoter regions

    Gordon, L., Chervonenkis, A. Y., Gammerman, A. J., Shahmuradov, I. A. & Solovyev, V. V., 12 Oct 2003, In : Bioinformatics. 19, 15, p. 1964-1971 8 p.

    Research output: Contribution to journalArticle

  90. Published

    Mondrian Condence Machine

    Vovk, V., Lindsay, D., Nouretdinov, I. & Gammerman, A., Mar 2003, (On-line Compression Modelling project).

    Research output: Working paper

  91. Published

    Mondrian Confidence Machine

    Vovk, V., Lindsay, D., Nouretdinov, I. & Gammerman, A., Mar 2003, (On-line Compression Modelling project).

    Research output: Working paper

  92. Published

    Online region prediction with real teachers

    Ryabko, D., Vovk, V. & Gammerman, A., Mar 2003, (On-line Compression Modelling project).

    Research output: Working paper

  93. Published

    Testing Exchangeability On-line

    Vovk, V., Nouretdinov, I. & Gammerman, A., Feb 2003, (On-line Compression Modelling project).

    Research output: Working paper

  94. Published

    PlantProm: a database of plant promoter sequences

    Shahmuradov, I. A., Gammerman, A. J., Hancock, J. M., Bramley, P. M. & Solovyev, V. V., 1 Jan 2003, In : Nucleic Acids Research. 31, 1, p. 114-117 4 p.

    Research output: Contribution to journalArticle

  95. Published

    Testing exchangeability on-line

    Vovk, V., Nouretdinov, I. & Gammerman, A., 2003, Proceedings of the Twentieth International Conference on Machine Learning. Fawcett, T. & Mishra, N. (eds.). Menlo Park, CA: AAAI Press, p. 768-775

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

  96. Published

    Transductive Confidence Machine is universal

    Nouretdinov, I., Vyugin, V. & Gammerman, A., 2003, Lecture Notes in Artificial Intelligence. Springer, Vol. 2842. p. 283-297 16 p.

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

  97. 2002
  98. Published

    Prediction algorithms and confidence measures based on algorithmic randomness theory

    Gammerman, A. & Vovk, V., 25 Sep 2002, In : Theoretical Computer Science. 287, 1, p. 209-217 9 p.

    Research output: Contribution to journalArticle

  99. Published

    Inductive Confidence Machine for pattern recognition

    Surkov, D., Gammerman, A. & Vovk, V., 2002, Proceedings of the ICDM 2002 Workshop on the Foundation of Data Mining and Knowledge Discovery. Lin, T. & Ohsuga, S. (eds.). Shimane Medical University, p. 249-255 7 p.

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

  100. Published

    Inductive confidence machines for regression

    Papadopoulos, H., Proedrou, K., Vovk, V. & Gammerman, A., 2002, Proceedings of the Thirteenth European Conference on Machine Learning. Elomaa, T., Mannila, H. & Toivonen, H. (eds.). London: Springer, p. 345-356 12 p. (Lecture Notes in Computer Science; vol. 2430).

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

  101. Published

    Qualified predictions for large data sets in the case of pattern recognition

    Papadopoulos, H., Vovk, V. & Gammerman, A., 2002, Proceedings of the International Conference on Machine Learning and Applications. Wani, M., Arabnia, H., Cios, K., Hafeez, K. & Kendall, G. (eds.). CSREA Press, p. 159-163 5 p.

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

  102. Published

    Transductive confidence machines for pattern recognition

    Proedrou, K., Nouretdinov, I., Vovk, V. & Gammerman, A., 2002, Proceedings of the Thirteenth European Conference on Machine Learning. Elomaa, T., Mannila, H. & Toivonen, H. (eds.). London: Springer, p. 381-390 10 p. (Lecture Notes in Computer Science; vol. 2430).

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

  103. 2001
  104. Published

    Pattern recognition and density estimation under the general i.i.d assumption

    Nouretdinov, I., Vovk, V., Vyugin, M. & Gammerman, A., 2001, Proceedings of the Fourteenth Annual Conference on Computational Learning Theory and Fifth European Conference on Computational Learning Theory. Helmbold, D. & Williamson, B. (eds.). London: Springer, p. 337-353 17 p. (Lecture Notes in Artificial Intelligence; vol. 2111).

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

  105. 2000
  106. Published

    Computationally efficient transductive machines

    Saunders, C., Gammerman, A. & Vovk, V., 2000, Proceedings of the Eleventh International Conference on Algorithmic Learning Theory. Arimura, H., Jain, S. & Sharma, A. (eds.). Berlin: Springer, p. 325-333 9 p. (Lecture Notes in Artificial Intelligence; vol. 1968).

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

  107. 1999
  108. Published

    Complexity approximation principle

    Vovk, V. & Gammerman, A., 1999, In : The Computer Journal. 42, 4, p. 318-322 5 p.

    Research output: Contribution to journalArticle

  109. Published

    Editorial: Kolmogorov complexity

    Gammerman, A. & Vovk, V., 1999, In : The Computer Journal. 42, p. 251 1 p.

    Research output: Contribution to journalEditorial

  110. Published

    Kolmogorov complexity: Sources, theory and applications

    Gammerman, A. & Vovk, V., 1999, In : The Computer Journal. 42, 4, p. 252-255 4 p.

    Research output: Contribution to journalArticle

  111. Published

    Machine-learning applications of algorithmic randomness

    Vovk, V., Gammerman, A. & Saunders, C., 1999, Proceedings of the Sixteenth International Conference on Machine Learning. San Francisco, CA: Morgan Kaufmann, p. 444-453 10 p.

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

  112. Published

    Special issue editorial - Kolmogorov complexity

    Gammerman, A. & Vovk, V., 1999, In : The Computer Journal. 42, 4, p. 251-251 1 p.

    Research output: Contribution to journalEditorial

  113. Published

    Statistical applications of algorithmic randomness

    Vovk, V. & Gammerman, A., 1999, Bulletin of the International Statistical Institute. Proceedings of the Fifty Second Session: Contributed Papers. book 3 ed. Vol. 58. p. 469-470 2 p.

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

  114. Published

    Support Vector density estimation

    Weston, J., Gammerman, A., Stitson, M., Vapnik, V., Vovk, V. & Watkins, C., 1999, Advances in Kernel Methods: Support Vector Learning. Scholkopf, B., Burghes, C. J. C. & Smola, A. J. (eds.). Cambridge, MA: MIT Press, p. 293-305 13 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  115. Published

    Support Vector regression with ANOVA decomposition kernels

    Stitson, M., Gammerman, A., Vapnik, V., Vovk, V., Watkins, C. & Weston, J., 1999, Advances in Kernel Methods: Support Vector Learning. Scholkopf, B., Burghes, C. J. C. & Smola, A. J. (eds.). Cambridge, MA: MIT Press, p. 285-291 7 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  116. Published

    Transduction with confidence and credibility

    Saunders, C., Gammerman, A. & Vovk, V., 1999, Proceedings of the Sixteenth International Joint Conference on Articial Intelligence. Dean, T. (ed.). San Francisco, CA: Morgan Kaufmann, Vol. 2. p. 722-726 5 p.

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

  117. 1998
  118. Published

    Learning by Support Vector Machine

    Gammerman, A. & Vovk, V., 1998.

    Research output: Contribution to conferenceOther

  119. Published

    Learning by transduction

    Gammerman, A., Vapnik, V. & Vovk, V., 1998, Proceedings of the Fourteenth Conference on Uncertainty in Articial Intelligence. San Francisco, CA: Morgan Kaufmann, p. 148-156 9 p.

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

  120. Published

    Ridge Regression learning algorithm in dual variables

    Saunders, C., Gammerman, A. & Vovk, V., 1998, Proceedings of the Fifteenth International Conference on Machine Learning. San Francisco, CA: Morgan Kaufmann, p. 515-521 7 p.

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

  121. 1995
  122. Published

    Exact and approximate algorithms and their implementations in mixed graphical models

    Gammerman, A., Luo, Z., Aitken, C. & Brewer, M., 1995, Probabilistic Reasoning and Bayesian Belief Networks. Henley-on-Thames: Alfred Waller, p. 33-53

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

  123. 1994
  124. Published

    Computational systems for mixed graphical models

    Gammerman, A., Luo, Z., Aitken, C. & Brewer, M., 1994, UNICOM Adaptive Computing and Information Processing Seminar . p. 143-163

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

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