Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jose A. Arjona-Medina"'
Autor:
Esteban Pérez-Wohlfeil, Jose A. Arjona-Medina, Oscar Torreno, Eugenia Ulzurrun, Oswaldo Trelles
Publikováno v:
BMC Genomics, Vol 17, Iss S8, Pp 351-361 (2016)
Abstract Background The field of metagenomics, defined as the direct genetic analysis of uncultured samples of genomes contained within an environmental sample, is gaining increasing popularity. The aim of studies of metagenomics is to determine the
Externí odkaz:
https://doaj.org/article/ef466d15d0c14365a08b3710c5854ef7
Autor:
Lorenzo Servadei, Jin Hwa Lee, Jose A. Arjona Medina, Michael Werner, Sepp Hochreiter, Wolfgang Ecker, Robert Wille
Publikováno v:
IEEE Design & Test. 40:43-51
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a0ea1c65d1864033c4097d68aaec1fc
https://doi.org/10.1109/mdat.2022.3145344
https://doi.org/10.1109/mdat.2022.3145344
Autor:
Marius-Constantin Dinu, Markus Hofmarcher, Vihang P. Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter
Publikováno v:
xxAI-Beyond Explainable AI ISBN: 9783031040825
In reinforcement learning, an agent interacts with an environment from which it receives rewards, that are then used to learn a task. However, it is often unclear what strategies or concepts the agent has learned to solve the task. Thus, interpretabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8651514eaf17125e1e15940a80d72c16
https://doi.org/10.1007/978-3-031-04083-2_10
https://doi.org/10.1007/978-3-031-04083-2_10
Autor:
Lukas Gruber, Jose A. Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter, Markus Holzleitner
Publikováno v:
Transactions on Large-Scale Data-and Knowledge-Centered Systems XLVIII ISBN: 9783662635186
We prove under commonly used assumptions the convergence of actor-critic reinforcement learning algorithms, which simultaneously learn a policy function, the actor, and a value function, the critic. Both functions can be deep neural networks of arbit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac7f89aabd38d695e8d5c1af94956a76
https://doi.org/10.1007/978-3-662-63519-3_5
https://doi.org/10.1007/978-3-662-63519-3_5
Autor:
Michael Werner, Volkan Esen, Robert Wille, Jose A. Arjona-Medina, Sepp Hochreiter, Jiapeng Zheng, Wolfgang Ecker, Lorenzo Servadei
Publikováno v:
MLCAD
With the increase in the complexity of the modern system on Chips(SoCs) and the demand for a lower time-to-market, automation becomes essential in hardware design. This is particularly relevant in complex/time-consuming tasks, as the optimization of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::163ea175181b82249f09668cbeed5dc0
https://doi.org/10.1145/3380446.3430619
https://doi.org/10.1145/3380446.3430619
Autor:
Michael Widrich, Klaus-Robert Müller, Grégoire Montavon, Leila Arras, Sepp Hochreiter, Wojciech Samek, Jose A. Arjona-Medina, Michael Gillhofer
Publikováno v:
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning ISBN: 9783030289539
Explainable AI
Explainable AI
While neural networks have acted as a strong unifying force in the design of modern AI systems, the neural network architectures themselves remain highly heterogeneous due to the variety of tasks to be solved. In this chapter, we explore how to adapt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65bb19c1e41090952418a42efd8a2b20
https://doi.org/10.1007/978-3-030-28954-6_11
https://doi.org/10.1007/978-3-030-28954-6_11
Autor:
Bernhard Nessler, Sepp Hochreiter, Markus Hofmarcher, Jose A. Arjona-Medina, Thomas Unterthiner, Günter Klambauer
Publikováno v:
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning ISBN: 9783030289539
Explainable AI
Explainable AI
Deep neural networks are an increasingly important technique for autonomous driving, especially as a visual perception component. Deployment in a real environment necessitates the explainability and inspectability of the algorithms controlling the ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a85c2da3343b438b10a9f63a6ba9f4c
https://doi.org/10.1007/978-3-030-28954-6_15
https://doi.org/10.1007/978-3-030-28954-6_15
Autor:
Jose A. Arjona-Medina, Oswaldo Trelles
Publikováno v:
BIBM
Motivation: The identification and accurate description of large genomic rearrangements is crucial for the study of evolutionary events among species and implicitly defining breakpoints. Although there is a number of software tools available to perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c831a16efa8e8a49ac599a77571f77a
https://doi.org/10.1109/tnb.2016.2554150
https://doi.org/10.1109/tnb.2016.2554150
Autor:
Oswaldo Trelles, Jose A. Arjona-Medina
Publikováno v:
BMC Genomics
BMC Genomics, Vol 17, Iss S8, Pp 433-445 (2016)
BMC Genomics, Vol 17, Iss S8, Pp 433-445 (2016)
Background DNA rearrangement events have been widely studied in comparative genomic for many years. The importance of these events resides not only in the study about relatedness among different species, but also to determine the mechanisms behind ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11257e44bf1989822a3cd84641601b63
http://europepmc.org/articles/PMC5088515
http://europepmc.org/articles/PMC5088515
Autor:
Eugenia Ulzurrun, Esteban Pérez-Wohlfeil, Oswaldo Trelles, Oscar Torreno, Jose A. Arjona-Medina
Publikováno v:
BMC Genomics
BMC Genomics, Vol 17, Iss S8, Pp 351-361 (2016)
BMC Genomics, Vol 17, Iss S8, Pp 351-361 (2016)
Background The field of metagenomics, defined as the direct genetic analysis of uncultured samples of genomes contained within an environmental sample, is gaining increasing popularity. The aim of studies of metagenomics is to determine the species p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::522a7bc5da51f8d64f646aab234341ce