Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Volodya Vovk"'
Publikováno v:
AISec@CCS
Deo, A, Dash, S K, Suarez-Tangil, G, Vovk, V & Cavallaro, L 2016, Prescience : Probabilistic Guidance on the Retraining Conundrum for Malware Detection . in ACM Workshop on Artificial Intelligence and Security (AISec) . https://doi.org/10.1145/2996758.2996769
Deo, A, Dash, S K, Suarez-Tangil, G, Vovk, V & Cavallaro, L 2016, Prescience : Probabilistic Guidance on the Retraining Conundrum for Malware Detection . in ACM Workshop on Artificial Intelligence and Security (AISec) . https://doi.org/10.1145/2996758.2996769
Malware evolves perpetually and relies on increasingly sophisticatedattacks to supersede defense strategies. Datadrivenapproaches to malware detection run the risk of becomingrapidly antiquated. Keeping pace with malwarerequires models that are perio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7eb96a301638bee0ed1022ddb8bdcd1f
https://doi.org/10.1145/2996758.2996769
https://doi.org/10.1145/2996758.2996769
Autor:
Stephane Camuzeaux, Rainer Cramer, John Sinclair, Dmitry Devetyarov, Ilia Nouretdinov, Brian Burford, Volodya Vovk, John F. Timms, Ali Tiss, Ian Jacobs, Celia Smith, Mike Waterfield, Alexander Gammerman, Alexey Ya. Chervonenkis, Aleksandra Gentry-Maharaj, Zhiyuan Luo, Rachel Hallett, Usha Menon
Publikováno v:
Progress in Artificial Intelligence. 1:245-257
The work describes an application of a recently developed machine-learning technique called Mondrian pre- dictors to risk assessment of ovarian and breast cancers. The analysis is based on mass spectrometry profiling of human serum samples that were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72fe3987f86cb2aa48dce34d4802ed73
https://doi.org/10.1007/s13748-012-0021-y
https://doi.org/10.1007/s13748-012-0021-y
Autor:
Musarat Kabir, Paul Tempst, Usha Menon, Rainer Cramer, Stephane Camuzeaux, Alexander Gammerman, Volodya Vovk, John F. Timms, Zhiyuan Luo, Ilia Nouretdinov, Alexey Ya. Chervonenkis, Brian Burford, Ian Jacobs, Mike Waterfield, Josep Villanueva
Publikováno v:
The Computer Journal. 52:326-333
Ovarian cancer is characterized by vague, non-specific symptoms, advanced stage at diagnosis and poor overall survival. A nested case control study was undertaken on stored serial serum samples from women who developed ovarian cancer and healthy cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b8a779063bfce6747f104065f531e60
https://doi.org/10.1093/comjnl/bxn021
https://doi.org/10.1093/comjnl/bxn021
Autor:
Volodya Vovk, Alexander Gammerman
Publikováno v:
Theoretical Computer Science. 287(1):209-217
This paper reviews some theoretical and experimental developments in building computable approximations of Kolmogorov's algorithmic notion of randomness. Based on these approximations a new set of machine learning algorithms have been developed that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::807ced822db411501b280586ab4bc0cc
Autor:
Volodya Vovk
Publikováno v:
International Statistical Review. 69:213-248
Summary A radically new approach to statistical modelling, which combines mathematical techniques of Bayesian statistics with the philosophy of the theory of competitive on-line algorithms, has arisen over the last decade in computer science (to a la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc9e23230736bee2f3453f0610db0cef
https://doi.org/10.1111/j.1751-5823.2001.tb00457.x
https://doi.org/10.1111/j.1751-5823.2001.tb00457.x
Autor:
Usha Menon, Zhiyuan Luo, Rainer Cramer, Ali Tiss, Volodya Vovk, Mike Waterfield, Ian Jacobs, Stephane Camuzeaux, John F. Timms, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Celia Smith, Aleksandra Gentry-Maharaj, Alexander Gammerman, Alexey Ya. Chervonenkis, Rachel Hallett
Publikováno v:
IFIP Advances in Information and Communication Technology
8th International Conference on Artificial Intelligence Applications and Innovations (AIAI)
8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. pp.224-233, ⟨10.1007/978-3-642-33412-2_23⟩
IFIP Advances in Information and Communication Technology ISBN: 9783642334115
AIAI (2)
8th International Conference on Artificial Intelligence Applications and Innovations (AIAI)
8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. pp.224-233, ⟨10.1007/978-3-642-33412-2_23⟩
IFIP Advances in Information and Communication Technology ISBN: 9783642334115
AIAI (2)
Part 4: First Conformal Prediction and Its Applications Workshop (COPA 2012); International audience; This paper describes the methodology of providing multiprobability predictions for proteomic mass spectrometry data. The methodology is based on a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f318ee1d5ca2fe97c458de4f017ca7ef
https://hal.archives-ouvertes.fr/hal-01523062/file/978-3-642-33412-2_23_Chapter.pdf
https://hal.archives-ouvertes.fr/hal-01523062/file/978-3-642-33412-2_23_Chapter.pdf
Autor:
John F, Timms, Usha, Menon, Dmitry, Devetyarov, Ali, Tiss, Stephane, Camuzeaux, Katherine, McCurrie, Ilia, Nouretdinov, Brian, Burford, Celia, Smith, Aleksandra, Gentry-Maharaj, Rachel, Hallett, Jeremy, Ford, Zhiyuan, Luo, Volodya, Vovk, Alex, Gammerman, Rainer, Cramer, Ian, Jacobs
Publikováno v:
Cancer genomicsproteomics. 8(6)
A nested case-control discovery study was undertaken to test whether information within the serum peptidome can improve on the utility of CA125 for early ovarian cancer detection.High-throughput matrix-assisted laser desorption ionisation mass spectr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::104cd69cf44b7698f3e5a09e161f329b
https://pubmed.ncbi.nlm.nih.gov/22086897
https://pubmed.ncbi.nlm.nih.gov/22086897
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9781441902207
AIAI
AIAI
Most current machine learning systems for medical decision support do not produce any indication of how reliable each of their predictions is. However, an indication of this kind is highly desirable especially in the medical field. This paper deals w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79f0b99c3e2cbf5a7f7e3fd544f50b8a
https://doi.org/10.1007/978-1-4419-0221-4_22
https://doi.org/10.1007/978-1-4419-0221-4_22
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540440369
ECML
ECML
The existing methods of predicting with confidence give good accuracy and confidence values, but quite often are computationally inefficient. Some partial solutions have been suggested in the past. Both the original method and these solutions were ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25dcbaeb93e02fff53e5fac1fff093ff
https://doi.org/10.1007/3-540-36755-1_29
https://doi.org/10.1007/3-540-36755-1_29
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540428756
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f2411c9d77154941dd0ab4a3e1fb1bb
https://doi.org/10.1007/3-540-45583-3_15
https://doi.org/10.1007/3-540-45583-3_15