Alexander Gammerman

Alex J. Gammerman

	2012
61		Valentina Fedorova, Alexander Gammerman, Ilia Nouretdinov, Vladimir Vovk: Plug-in martingales for testing exchangeability on-line CoRR abs/1204.3251: (2012)
	2011
60		Meng Yang, Ilia Nouretdinov, Zhiyuan Luo, Alex J. Gammerman: Feature Selection by Conformal Predictor. EANN/AIAI (2) 2011: 439-448
59		Dmitry Adamskiy, Ilia Nouretdinov, Andy Mitchell, Nick Coldham, Alexander Gammerman: Applying Conformal Prediction to the Bovine TB Diagnosing. EANN/AIAI (2) 2011: 449-454
58		Chenzhe Zhou, Ilia Nouretdinov, Zhiyuan Luo, Dmitry Adamskiy, Luke Randell, Nicholas Coldham, Alexander Gammerman: A Comparison of Venn Machine with Platt's Method in Probabilistic Outputs. EANN/AIAI (2) 2011: 483-490
57		Antonis Lambrou, Harris Papadopoulos, Alexander Gammerman: Reliable Confidence Measures for Medical Diagnosis With Evolutionary Algorithms. IEEE Transactions on Information Technology in Biomedicine 15(1): 93-99 (2011)
56		Harris Papadopoulos, Vladimir Vovk, Alexander Gammerman: Regression Conformal Prediction with Nearest Neighbours. J. Artif. Intell. Res. (JAIR) 40: 815-840 (2011)
55		Ilia Nouretdinov, Sergi G. Costafreda, Alexander Gammerman, Alexey Ya. Chervonenkis, Vladimir Vovk, Vladimir Vapnik, Cynthia H. Y. Fu: Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression. NeuroImage 56(2): 809-813 (2011)
	2010
54		Antonis Lambrou, Harris Papadopoulos, Efthyvoulos C. Kyriacou, Constantinos S. Pattichis, Marios S. Pattichis, Alexander Gammerman, Andrew Nicolaides: Assessment of Stroke Risk Based on Morphological Ultrasound Image Analysis with Conformal Prediction. AIAI 2010: 146-153
53		Alexander Gammerman: Modern Machine Learning Techniques and Their Applications to Medical Diagnostics. AIAI 2010: 2
52		Ilia Nouretdinov, Guang Li, Alexander Gammerman, Zhiyuan Luo: Application of Conformal Predictors to Tea Classification Based on Electronic Nose. AIAI 2010: 303-310
51		Dmitry Devetyarov, Martin Woodward, Nicholas Coldham, Muna Anjum, Alexander Gammerman: A New Bioinformatics Tool for Prediction with Confidence. BIOCOMP 2010: 24-28
	2009
50		Harris Papadopoulos, Alexander Gammerman, Volodya Vovk: Confidence Predictions for the Diagnosis of Acute Abdominal Pain. AIAI 2009: 175-184
49		Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman: Online Prediction of Ovarian Cancer. AIME 2009: 375-379
48		Dmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman: Confidence Machine and Its Application to Medical Diagnosis. BIOCOMP 2009: 448-454
47		Peter McCullagh, Vladimir Vovk, Ilia Nouretdinov, Dmitry Devetyarov, Alexander Gammerman: Conditional Prediction Intervals for Linear Regression. ICMLA 2009: 131-138
46		Ilia Nouretdinov, Brian Burford, Alexander Gammerman: Application of Inductive Confidence Machine to ICMLA Competition Data. ICMLA 2009: 435-438
45		Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa, Barbara Hammer, Alexander Gammerman: Cancer informatics by prototype networks in mass spectrometry. Artificial Intelligence in Medicine 45(2-3): 215-228 (2009)
44		Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman: Online prediction of ovarian cancer CoRR abs/0904.1579: (2009)
43		Alexander Gammerman, Volodya Vovk, Brian Burford, Ilia Nouretdinov, Zhiyuan Luo, Alexey Ya. Chervonenkis, Mike Waterfield, Rainer Cramer, Paul Tempst, Josep Villanueva, Musarat Kabir, Stephane Camuzeaux, John Timms, Usha Menon, Ian Jacobs: Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer. Comput. J. 52(3): 326-333 (2009)
	2008
42		Boris Ryabko, Jaakko Astola, Alexander Gammerman: Adaptive Coding and Prediction of Sources With Large and Infinite Alphabets. IEEE Transactions on Information Theory 54(8): 3808-3813 (2008)
	2007
41		Steven Busuttil, Yuri Kalnishkan, Alexander Gammerman: Improving the aggregating algorithm for regression. Artificial Intelligence and Applications 2007: 379-384
40		Harris Papadopoulos, Volodya Vovk, Alexander Gammerman: Conformal Prediction with Neural Networks. ICTAI (2) 2007: 388-395
39		Alexander Gammerman, Vladimir Vovk: Hedging Predictions in Machine Learning: The Second Computer Journal Lecture. Comput. J. 50(2): 151-163 (2007)
38		Alexander Gammerman, Vladimir Vovk: Rejoinder Hedging Predictions in Machine Learning. Comput. J. 50(2): 173-177 (2007)
	2006
37		Tony Bellotti, Zhiyuan Luo, Alexander Gammerman: Reliable classification of childhood acute leukaemia from gene expression data using confidence machines. GrC 2006: 148-153
36		Tony Bellotti, Zhiyuan Luo, Alexander Gammerman: Strangeness Minimisation Feature Selection with Confidence Machines. IDEAL 2006: 978-985
35		Boris Ryabko, Jaakko Astola, Alexander Gammerman: Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series.. Kolmogorov Complexity and Applications 2006
34		Alexander Gammerman, Vladimir Vovk: Hedging predictions in machine learning CoRR abs/cs/0611011: (2006)
33		Boris Ryabko, Jaakko Astola, Alexander Gammerman: Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series. Theor. Comput. Sci. 359(1-3): 440-448 (2006)
	2005
32		Zhiyuan Luo, Alexander Gammerman: Qualified Probabilistic Predictions Using Graphical Models. ECSQARU 2005: 111-122
31		Boris Ryabko, Jaakko Astola, Alexander Gammerman: Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series CoRR abs/cs/0505079: (2005)
30		Tony Bellotti, Zhiyuan Luo, Alexander Gammerman, Frederick W. Van Delft, Vaskar Saha: Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines. Int. J. Neural Syst. 15(4): 247-258 (2005)
	2004
29		Zhiyuan Luo, Tony Bellotti, Alexander Gammerman: Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines. IDEAL 2004: 46-51
28		Alexander Gammerman, Yuri Kalnishkan, Vladimir Vovk: On-line Prediction with Kernels and the Complexity Approximation Principle. UAI 2004: 170-176
	2003
27		Ilia Nouretdinov, Vladimir V. V'yugin, Alexander Gammerman: Transductive Confidence Machine Is Universal. ALT 2003: 283-297
26		Vladimir Vovk, Ilia Nouretdinov, Alexander Gammerman: Testing Exchangeability On-Line. ICML 2003: 768-775
25		Leo Gordon, Alexey Ya. Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev: Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel. IDA 2003: 386-396
24		Leo Gordon, Alexey Ya. Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev: Sequence alignment kernel for recognition of promoter regions. Bioinformatics 19(15): 1964-1971 (2003)
23		Ilham A. Shahmuradov, Alex J. Gammerman, John M. Hancock, Peter M. Bramley, Victor V. Solovyev: PlantProm: a database of plant promoter sequences. Nucleic Acids Research 31(1): 114-117 (2003)
	2002
22		Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. AMAI 2002
21		Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman: Transductive Confidence Machines for Pattern Recognition. AMAI 2002
20		Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. ECML 2002: 345-356
19		Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman: Transductive Confidence Machines for Pattern Recognition. ECML 2002: 381-390
18		Harris Papadopoulos, Vladimir Vovk, Alexander Gammerman: Qualified Prediction for Large Data Sets in the Case of Pattern Recognition. ICMLA 2002: 159-163
17		Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. ISAIM 2002
16		Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman: Transductive Confidence Machines for Pattern Recognition. ISAIM 2002
15		Alexander Gammerman, Volodya Vovk: Prediction algorithms and confidence measures based on algorithmic randomness theory. Theor. Comput. Sci. 287(1): 209-217 (2002)
	2001
14		Ilia Nouretdinov, Volodya Vovk, Michael V. Vyugin, Alexander Gammerman: Pattern Recognition and Density Estimation under the General i.i.d. Assumption. COLT/EuroCOLT 2001: 337-353
	2000
13		Craig Saunders, Alexander Gammerman, Volodya Vovk: Computationally Efficient Transductive Machines. ALT 2000: 325-333
	1999
12		Alexander Gammerman: Causal models and intelligent data management. Springer 1999: I-X, 1-185
11		Volodya Vovk, Alexander Gammerman, Craig Saunders: Machine-Learning Applications of Algorithmic Randomness. ICML 1999: 444-453
10		Craig Saunders, Alexander Gammerman, Volodya Vovk: Transduction with Confidence and Credibility. IJCAI 1999: 722-726
9		Alexander Gammerman, Vladimir Vovk: Kolmogorov Complexity: Sources, Theory and Applications. Comput. J. 42(4): 252-255 (1999)
8		Vladimir Vovk, Alexander Gammerman: Complexity Approximation Principle. Comput. J. 42(4): 318-322 (1999)
	1998
7		Craig Saunders, Alexander Gammerman, Volodya Vovk: Ridge Regression Learning Algorithm in Dual Variables. ICML 1998: 515-521
6		Alexander Gammerman, Katy S. Azoury, Vladimir Vapnik: Learning by Transduction. UAI 1998: 148-155
	1992
5		Alexander Gammerman, Tony Bellotti: Experiments Using Minimal-Length Encoding to Solve Machine Learning Problems. Data Compression Conference 1992: 359-367
	1991
4		Zhiyuan Luo, Alexander Gammerman: Press - A Probabilistic Reasoning Expert System Shell. ECSQARU 1991: 232-237
3		Alexander Gammerman: The representation and manipulation of the algorithmic probability measure for problem solving. Ann. Math. Artif. Intell. 4: 281-300 (1991)
	1990
2		Zhiyuan Luo, Alexander Gammerman: STOSS - A Stochastic Simulation System for Bayesian Belief Networks. IPMU 1990: 97-105
	1988
1		X. Liu, Alexander Gammerman: A Hybrid Approach to Deductive Uncertain Inference. International Journal of Man-Machine Studies 28(6): 671-681 (1988)

Coauthor Index

1	Dmitry Adamskiy	[58] [59]
2	Muna Anjum	[51]
3	Jaakko Astola	[31] [33] [35] [42]
4	Katy S. Azoury	[6]
5	Tony Bellotti	[5] [29] [30] [36] [37]
6	Peter M. Bramley	[23]
7	Brian Burford	[43] [44] [46] [49]
8	Steven Busuttil	[41]
9	Stephane Camuzeaux	[43]
10	Alexey Ya. Chervonenkis	[24] [25] [43] [55]
11	Nicholas Coldham	[51] [58]
12	Nick Coldham	[59]
13	Sergi G. Costafreda	[55]
14	Rainer Cramer	[43]
15	Frederick W. Van Delft	[30]
16	Dmitry Devetyarov	[44] [47] [48] [49] [51]
17	Valentina Fedorova	[61]
18	Cynthia H. Y. Fu	[55]
19	Leo Gordon	[24] [25]
20	Barbara Hammer	[45]
21	John M. Hancock	[23]
22	Ian Jacobs	[43]
23	Musarat Kabir	[43]
24	Yuri Kalnishkan	[28] [41]
25	Markus Kostrzewa	[45]
26	Efthyvoulos C. Kyriacou	[54]
27	Antonis Lambrou	[54] [57]
28	Guang Li	[52]
29	X. Liu	[1]
30	Zhiyuan Luo	[2] [4] [29] [30] [32] [36] [37] [43] [52] [58] [60]
31	Peter McCullagh	[47]
32	Usha Menon	[43]
33	Andy Mitchell	[59]
34	Andrew Nicolaides	[54]
35	Ilia Nouretdinov	[14] [16] [19] [21] [26] [27] [43] [44] [46] [47] [48] [49] [52] [55] [58] [59] [60] [61]
36	Harris Papadopoulos	[17] [18] [20] [22] [40] [50] [54] [56] [57]
37	Constantinos S. Pattichis	[54]
38	Marios S. Pattichis	[54]
39	Kostas Proedrou	[16] [17] [19] [20] [21] [22]
40	Luke Randell	[58]
41	Boris Ryabko	[31] [33] [35] [42]
42	Vaskar Saha	[30]
43	Craig Saunders	[7] [10] [11] [13]
44	Frank-Michael Schleif	[45]
45	Ilham A. Shahmuradov	[23] [24] [25]
46	Victor V. Solovyev	[23] [24] [25]
47	Paul Tempst	[43]
48	John Timms	[43]
49	Vladimir V. V'yugin	[27]
50	Vladimir Vapnik	[6] [55]
51	Josep Villanueva	[43]
52	Thomas Villmann	[45]
53	Vladimir Vovk (Volodya Vovk, V. G. Vovk)	[7] [8] [9] [10] [11] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [26] [28] [34] [38] [39] [40] [43] [44] [47] [49] [50] [55] [56] [61]
54	Michael V. Vyugin	[14]
55	Mike Waterfield	[43]
56	Martin Woodward	[51]
57	Meng Yang	[60]
58	Fedor Zhdanov	[44] [49]
59	Chenzhe Zhou	[58]

Colors in the list of coauthors

Last update Wed May 30 22:34:44 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page