Resultado final
Workshop for PRACE and/or QSAR community or similat
Factsheet for dissemination
Development reportDevelopment report: Document describing the impact of the algorithmic developments on the industry challenges
Simulation report 3Report: Node peformance simulation of D2.11
Simulation report 2Report: Node performance simulation of D2.7
Simulation Report 1Report: Node performance simulation of D2.3
Criteria reportBenchmarking criteria
Metamodel reportDocument describing industry challenges and academic research initiatives, and overlap between different ML algorithms to guide building the meta-model
Final simulation and scalability report (4 and 2)Report: Node performance simulation of D2.17, and scalability test
Factsheet 1Factsheet for exploitation
Scalability report 1Scalability test
Challenge reportDocument describing challenges, data types and pipelines used in building Chemogenomics models
Report + Code 6Code for Platt scaling and its integration with algorithms from earlier deliverables corresponding to Task 1.2.3.
Workflows reportOverview of developed methods and workflows
Public cancer cell line datasets
Report + Code 4Code for Exascale Bayesian Non-linear Multi-view Matrix Factorization and related documentation, deep learning code and related documentation version 3. Code for integration of unsupervised pre-processing and supervised learning, and related documentation. Code for Venn-Abers probabilistic predictors for large and imbalanced datasets
WebDataWeb APIs for public datasets
ToxToxicology datasets
PublicBioPublic biological datasets
Publicaciones
Autores:
Paolo Toccaceli, Alexander Gammerman
Publicado en:
Proceedings of Machine Learning Research: The Sixth Workshop on Conformal and Probabilistic Prediction and Applications, Edición 60, 2017, 2017, Página(s) 39-61, ISSN 1938-7228
Editor:
JMLR Inc. and Microtome Publishing (United States)
Autores:
Vladimir Vovk, Jieli Shen, Valery Manokhin, Min-ge Xie
Publicado en:
Proceedings of Machine Learning Research Proceedings: The Sixth Workshop on Conformal and Probabilistic Prediction and Applications, Edición 60, 2017, 2017, Página(s) 82-102, ISSN 1938-7228
Editor:
JMLR Inc. and Microtome Publishing (United States)
Autores:
Ilia Nouretdinov
Publicado en:
Proceedings of Machine Learning Research: The Sixth Workshop on Conformal and Probabilistic Prediction and Applications, Edición 60, 2017, 2017, Página(s) 185-192, ISSN 1938-7228
Editor:
JMLR Inc. and Microtome Publishing (United States)
Autores:
Ilia Nouretdinov
Publicado en:
Proceedings of Machine Learning Research: The Sixth Workshop on Conformal and Probabilistic Prediction and Applications, Edición 60, 2017, 2017, Página(s) 193-200, ISSN 1938-7228
Editor:
JMLR Inc. and Microtome Publishing (United States)
Autores:
Tom Vander Aa, Tom Ashby, Yves Vandriessche, Vojtech Cima, Stanislav Böhm, Jan Martinovic
Publicado en:
INFOCOMP17, Edición June 25, 2017, 2017, Página(s) 72 to 74, ISSN 2308-3484
Editor:
IARIA
Autores:
Denis Volkhonskiy, Evgeny Burnaev, Ilia Nouretdinov, Alexander Gammerman, Vladimir Vovk
Publicado en:
Proceedings of Machine Learning Research Proceedings: The Sixth Workshop on Conformal and Probabilistic Prediction and Applications, Edición 60, 2017, 2017, Página(s) 132-153, ISSN 1938-7228
Editor:
JMLR Inc. and Microtome Publishing (United States)
Autores:
Ilia Nouretdinov, Denis Volkhonskiy, Pitt Lim, Paolo Toccaceli, Alexander Gammerman
Publicado en:
Proceedings of Machine Learning Research: The Seventh Workshop on Conformal and Probabilistic Prediction and Applications, Edición 91, 2018, 2018, Página(s) 15-36, ISSN 1938-7228
Editor:
JMLR Inc. and Microtome Publishing (United States)
Autores:
Vladimir Vovk, Claus Bendtsen
Publicado en:
Proceedings of Machine Learning Research: The Seventh Workshop on Conformal and Probabilistic Prediction and Applications, Edición 91, 2018, 2018, Página(s) 52-62, ISSN 1938-7228
Editor:
JMLR Inc. and Microtome Publishing (United States)
Autores:
Xiangju Qin, Paul Blomstedt, Samuel Kaski
Publicado en:
3rd International workshop on biomedical informatics with optimization and machine learning, Edición 15th April, 2018, Página(s) https://www.ijcai-boom.org/uploads/5/1/6/8/51680821/xiangju_qu.pdf
Editor:
https://www.ijcai-boom.org/proceeding.html
Autores:
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Publicado en:
Advances in Neural Information Processing Systems 30 (NIPS 2017), Edición 4.12-9.12.2017, 2017, Página(s) 971--980
Editor:
Curran Associates, Inc.
Autores:
Vojtěch Cima, Stanislav Böhm, Jan Martinovič, Jiří Dvorský, Kateřina Janurová, Tom Vander Aa, Thomas J. Ashby, Vladimir Chupakhin
Publicado en:
Proceedings of the 9th Workshop and 7th Workshop on Parallel Programming and RunTime Management Techniques for Manycore Architectures and Design Tools and Architectures for Multicore Embedded Computing Platforms - PARMA-DITAM '18, 2018, Página(s) 1-6, ISBN 9781-450364447
Editor:
ACM Press
DOI:
10.1145/3183767.3183768
Autores:
Djork-Arne Clevert, Thomas Unterthiner, Sepp Hochreiter
Publicado en:
CoRR, Edición abs/1511.07289, 2015, Página(s) 1-14
Editor:
International Conference on Learning Representations (ICLR) 2016
Autores:
Michael Treml, José Arjona-Medina, Thomas Unterthiner, Rupesh Durgesh, Felix Friedmann, Peter Schuberth, Andreas Mayr, Martin Heusel, Markus Hofmarcher, Michael Widrich, Bernhard Nessler, Sepp Hochreiter
Publicado en:
OpenReview, 2016, Página(s) 1-7
Editor:
Workshop on Machine Learning for Intelligent Transport Systems, Conference Neural Information Processing Systems Foundation (NIPS 2016)
Autores:
Vladimir Vovk, Valentina Fedorova, Ilia Nouretdinov, Alexander Gammerman
Publicado en:
COPA 2016: Conformal and Probabilistic Prediction with Applications, 2016, Página(s) 23-39
Editor:
Springer International Publishing
DOI:
10.1007/978-3-319-33395-3_2
Autores:
Tom Vander Aa, Imen Chakroun, Tom Haber
Publicado en:
2016 IEEE International Conference on Cluster Computing (CLUSTER), 2016, Página(s) 346-349, ISBN 978-1-5090-3653-0
Editor:
IEEE
DOI:
10.1109/CLUSTER.2016.13
Autores:
Vladimir Vovk, Dusko Pavlovic
Publicado en:
COPA 2016: Conformal and Probabilistic Prediction with Applications, 2016, Página(s) 40-47
Editor:
Springer International Publishing
DOI:
10.1007/978-3-319-33395-3_3
Autores:
Ilia Nouretdinov
Publicado en:
2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016, Página(s) 253-258, ISBN 978-1-5090-6167-9
Editor:
IEEE
DOI:
10.1109/ICMLA.2016.0049
Autores:
Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman
Publicado en:
COPA 2016: Conformal and Probabilistic Prediction with Applications, 2016, Página(s) 51-66
Editor:
Springer International Publishing
DOI:
10.1007/978-3-319-33395-3_4
Autores:
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Publicado en:
ArXiv, Edición 8.6.2017, 2017
Editor:
arXiv preprint arXiv:1706.02515
Autores:
Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski
Publicado en:
arXiv, Edición 02 March 2017, 2017
Editor:
Cornell University Library
Autores:
Tom Vander Aa and Tom Ashby
Publicado en:
n/a, Edición n/a, 2018
Editor:
EPCC
Autores:
Eemeli Leppäaho, Muhammad Ammad-ud-din, Samuel Kaski
Publicado en:
Journal of Machine Learning Research, Edición 18, 04-2017, 2017, Página(s) 1-5, ISSN 1533-7928
Editor:
JMLR Inc. and Microtome Publishing (United States)
Autores:
Vladimir Vovk, Ilia Nouretdinov, Valentina Fedorova, Ivan Petej, Alex Gammerman
Publicado en:
Annals of Mathematics and Artificial Intelligence, Edición 81/1-2, 2017, Página(s) 21-46, ISSN 1012-2443
Editor:
Kluwer Academic Publishers
DOI:
10.1007/s10472-017-9540-3
Autores:
Vladimir Vovk
Publicado en:
Finance and Stochastics, Edición 21/3, 2017, Página(s) 719-739, ISSN 0949-2984
Editor:
Springer Verlag
DOI:
10.1007/s00780-017-0336-4
Autores:
Gundula Povysil, Antigoni Tzika, Julia Vogt, Verena Haunschmid, Ludwine Messiaen, Johannes Zschocke, Günter Klambauer, Sepp Hochreiter, Katharina Wimmer
Publicado en:
Human Mutation, Edición 38/7, 2017, Página(s) 889-897, ISSN 1059-7794
Editor:
John Wiley & Sons Inc.
DOI:
10.1002/humu.23237
Autores:
Vladimir Vovk, Dusko Pavlovic
Publicado en:
Annals of Mathematics and Artificial Intelligence, Edición 81/1-2, 2017, Página(s) 47-70, ISSN 1012-2443
Editor:
Kluwer Academic Publishers
DOI:
10.1007/s10472-017-9547-9
Autores:
Nikolay Kochev, Svetlana Avramova, Nina Jeliazkova
Publicado en:
Journal of Cheminformatics, Edición 10/1, 2018, ISSN 1758-2946
Editor:
Chemistry Central
DOI:
10.1186/s13321-018-0295-6
Autores:
Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman
Publicado en:
Annals of Mathematics and Artificial Intelligence, Edición 81/1-2, 2017, Página(s) 105-123, ISSN 1012-2443
Editor:
Kluwer Academic Publishers
DOI:
10.1007/s10472-017-9556-8
Autores:
Paolo Toccaceli, Alexander Gammerman
Publicado en:
Machine Learning, 2018, ISSN 0885-6125
Editor:
Kluwer Academic Publishers
DOI:
10.1007/s10994-018-5754-9
Autores:
Vladimir Vovk, Jieli Shen, Valery Manokhin, Min-ge Xie
Publicado en:
Machine Learning, 2018, ISSN 0885-6125
Editor:
Kluwer Academic Publishers
DOI:
10.1007/s10994-018-5755-8
Autores:
Alberto Scionti, Somnath Mazumdar, Antoni Portero
Publicado en:
Sensors, Edición 18/7, 2018, Página(s) 2330, ISSN 1424-8220
Editor:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/s18072330
Autores:
Andreas Mayr, Günter Klambauer, Thomas Unterthiner, Marvin Steijaert, Jörg K. Wegner, Hugo Ceulemans, Djork-Arné Clevert, Sepp Hochreiter
Publicado en:
Chemical Science, Edición 9/24, 2018, Página(s) 5441-5451, ISSN 2041-6520
Editor:
Royal Society of Chemistry
DOI:
10.1039/c8sc00148k
Autores:
Ilia Nouretdinov
Publicado en:
Advances in Science, Technology and Engineering Systems Journal, Edición 2/3, 2017, Página(s) 254-267, ISSN 2415-6698
Editor:
ASTES Publishers
DOI:
10.25046/aj020335
Autores:
V. Vovk
Publicado en:
Matematychni Studii, Edición 46/1, 2017, ISSN 1027-4634
Editor:
the Lviv Mathematical Society
DOI:
10.15330/ms.46.1.96-110
Autores:
Tom Vander Aa, Imen Chakroun, Tom Haber
Publicado en:
Procedia Computer Science, Edición 108, 2017, Página(s) 1030-1039, ISSN 1877-0509
Editor:
Elsevier
DOI:
10.1016/j.procs.2017.05.009
Autores:
Imen Chakroun, Tom Haber, Thomas J. Ashby
Publicado en:
Procedia Computer Science, Edición 108, 2017, Página(s) 2318-2322, ISSN 1877-0509
Editor:
Elsevier
DOI:
10.1016/j.procs.2017.05.082
Autores:
Balazs Nemeth, Tom Haber, Thomas J. Ashby, Wim Lamotte
Publicado en:
Procedia Computer Science, Edición 108, 2017, Página(s) 2348-2352, ISSN 1877-0509
Editor:
Elsevier
DOI:
10.1016/j.procs.2017.05.024
Autores:
Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk
Publicado en:
International Journal on Artificial Intelligence Tools, Edición 24/06, 2015, Página(s) 1560003, ISSN 0218-2130
Editor:
World Scientific Publishing Co
DOI:
10.1142/S0218213015600039
Autores:
Jiangming Sun, Nina Jeliazkova, Vladimir Chupakin, Jose-Felipe Golib-Dzib, Ola Engkvist, Lars Carlsson, Jörg Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay Kochev, Thomas J. Ashby, Hongming Chen
Publicado en:
Journal of Cheminformatics, Edición 9/1, 2017, ISSN 1758-2946
Editor:
Chemistry Central
DOI:
10.1186/s13321-017-0203-5
Autores:
Vojtech Cima, Stanislav Böhm, Jan Martinovič, Jiří Dvorský, Thomas J. Ashby, Vladimir Chupakhin
Publicado en:
Complex, Intelligent, and Software Intensive Systems, Edición 611, 2018, Página(s) 397-406, ISBN 978-3-319-61565-3
Editor:
Springer International Publishing
DOI:
10.1007/978-3-319-61566-0_36
Autores:
Noé Sturm, Jiangming Sun, Yves Vandriessche, Andreas Mayr, Günter Klambauer, Lars-Anders Carlson, Ola Engkvist, Hongming Chen
Publicado en:
ChemRxiv, 2018, ISSN 2573-2293
Editor:
American Chemical Society
DOI:
10.26434/chemrxiv.6969584.v1
Buscando datos de OpenAIRE...
Se ha producido un error en la búsqueda de datos de OpenAIRE
No hay resultados disponibles