Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation

Autor: Berral García, Josep Lluís, Aranda Llorens, Oriol, Domínguez Bermúdez, Juan Luis, Torres Viñals, Jordi

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
IPDPS 36th IEEE International Parallel & Distributed Processing Symposium, Workshop on Scalable Deep Learning (ScaDL)-IEEE Xplore

Most research on novel techniques for 3D Medical Image Segmentation (MIS) is currently done using Deep Learning with GPU accelerators. The principal challenge of such technique is that a single input can easily cope computing resources, and require p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::753af3ca2bd72edcb0a9ae97cb48593e
https://doi.org/10.1109/ipdpsw55747.2022.00172

Model-based ML for retrospective event detection

Autor: Capdevila Pujol, Joan, Cerquides, Jesús, Torres Viñals, Jordi|||0000-0003-1963-7418

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::86131b0b8ab49aaec7a24b0bf416c491
https://hdl.handle.net/2117/124915

Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks

Autor: Campos, Víctor, Jou, Brendan, Giró Nieto, Xavier, Torres Viñals, Jordi, Chang, Shih-Fu

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

Recurrent Neural Networks (RNNs) continue to show outstanding performance in sequence modeling tasks. However, training RNNs on long sequences often face challenges like slow inference, vanishing gradients and difficulty in capturing long term depend

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3333f824d6de6d6a7b097bc4438bdf8
http://arxiv.org/abs/1708.06834

Hecuba: NoSql made easy

Autor: Alomar, Guillem, Becerra Fontal, Yolanda, Torres Viñals, Jordi

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Non-relational databases are nowadays a common solution when dealing with huge data set and massive query work load. These systems have been redesigned from scratch in order to achieve scalability and availability at the cost of providing only a redu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::91e9c707cd34051fa76d13f0aa4c487e
http://hdl.handle.net/2099/16589

Modeling cloud resources using machine learning

Autor: Berral García, Josep Lluís|||0000-0003-3037-3580, Gavaldà Mestre, Ricard|||0000-0003-4736-7179, Torres Viñals, Jordi|||0000-0003-1963-7418

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Cloud computing is a new Internet infrastructure paradigm where management optimization has become a challenge to be solved, as all current management systems are human-driven or ad-hoc automatic systems that must be tuned manually by experts. Manage

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2e1a376e6eb92b99b6c9df1454544375
https://hdl.handle.net/2117/99413