E-LIB Suche - Ergebnisse für: Coelho Jr., Claudionor

1

Boosted Embeddings for Time-Series Forecasting:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,

Karingula, Sankeerth Rao ; Ramanan, Nandini ; Tahmasbi, Rasool... - p. 1-14 , 2022

Link: https://doi.org/10.1007/..

2

Automatic heterogeneous quantization of deep neural network..:

Coelho Jr, Claudionor N. ; Kuusela, Aki ; Li, Shan...
Nature Machine Intelligence. 3 (2021) 8 - p. 675-686 , 2021

Link: https://doi.org/10.1038/..

3

Selection of formal verification heuristics for parallel ex..:

Safe, Georgia Penido ; Coelho Jr., Claudionor ; Vieira, Luiz Filipe M....
International Journal on Software Tools for Technology Transfer. 14 (2011) 1 - p. 95-108 , 2011

Link: https://doi.org/10.1007/..

4

Exception handling in microprocessors using assertion libra..:

, In: Proceedings of the 17th symposium on Integrated circuits and system design,

Sica, Fernando Cortez ; Coelho Jr., Claudionor N. ; Nacif, José Augusto M... - p. 55-59 , 2004

Link: https://dl.acm.org/doi/1..

5

Synthesis and Simulation of Digital Systems Containing Inte..:

, In: Readings in Hardware/Software Co-Design,

Gupta, Rajesh K. ; Coelho Jr., Claudionor Nunes ; De Micheli, Giovanni - p. 544-549 , 2002

Link: https://doi.org/10.1016/..

6

An Embedded Converter from RS232 to Universal Serial Bus:

, In: Proceedings of the 14th symposium on Integrated circuits and systems design,

Zuquim, Ana Luiza de Almeida Pereira ; Coelho Jr, Claudionor José Nunes ; Fernandes, Antônio Otávio.. - p. 91 ff. , 2001

Link: https://dl.acm.org/doi/1..

7

System-level partitioning with uncertainty:

, In: Proceedings of the seventh international workshop on Hardware/software codesign,

Albuquerque, Jones ; Coelho Jr., Claudionor ; Cavalcanti, Carlos Frederico.. - p. 198-202 , 1999

Link: https://dl.acm.org/doi/1..

8

Dynamic scheduling and synchronization synthesis of concurr..:

, In: Proceedings of the 1994 IEEE/ACM international conference on Computer-aided design,

Coelho Jr., Claudionor N. ; De Micheli, Giovanni - p. 175-181 , 1994

Link: https://dl.acm.org/doi/1..

9

Time Series Anomaly Detection with label-free Model Selecti..:

Jung, Deokwoo ; Ramanan, Nandini ; Amjadi, Mehrnaz...
http://arxiv.org/abs/2106.07473. , 2021

Link: http://arxiv.org/abs/210..

10

Real-time Drift Detection on Time-series Data:

Ramanan, Nandini ; Tahmasbi, Rasool ; Sayer, Marjorie...
http://arxiv.org/abs/2110.06383. , 2021

Link: http://arxiv.org/abs/211..

11

Enabling Incremental Training with Forward Pass for Edge De..:

AbdulQader, Dana ; Krishnan, Shoba ; Coelho Jr, Claudionor N
http://arxiv.org/abs/2103.14007. , 2021

Link: http://arxiv.org/abs/210..

12

Boosted Embeddings for Time Series Forecasting:

Karingula, Sankeerth Rao ; Ramanan, Nandini ; Tahmasbi, Rasool...
http://arxiv.org/abs/2104.04781. , 2021

Link: http://arxiv.org/abs/210..

13

Log2NS: Enhancing Deep Learning Based Analysis of Logs With..:

Thimmisetty, Charanraj ; Tiwari, Praveen ; de la Iglesia, Didac Gil...
http://arxiv.org/abs/2105.14149. , 2021

Link: http://arxiv.org/abs/210..

14

Automatic heterogeneous quantization of deep neural network..:

Coelho Jr., Claudionor N ; Kuusela, Aki ; Li, Shan...
http://arxiv.org/abs/2006.10159. , 2020

Link: http://arxiv.org/abs/200..

15

Automatic heterogeneous quantization of deep neural network..:

Coelho, Claudionor N., Jr ; Kuusela, Aki ; Li, Shan...
https://arxiv.org/abs/2006.10159. , 2021

Link: https://doi.org/10.1038/..