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Testing techniques in software engineering second Pernambuco Summer School on Software Engineering, PSSE 2007, Recife, Brazil, December 3 - 7, 2007 ; revised lectures
Testing techniques in software engineering second Pernambuco Summer School on Software Engineering, PSSE 2007, Recife, Brazil, December 3 - 7, 2007 ; revised lectures
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Testing techniques in software engineering second Pernambuco Summer School on Software Engineering, PSSE 2007, Recife, Brazil, December 3 - 7, 2007 ; revised lectures

Paulo Borba; Ana Cavalcanti; Augusto Sampaio; Jim Woodcock; Pernambuco Summer School on Software Engineering 2007 Recife; PSSE (2 2007.12.03-07 Recife); Pernambuco Summer School on Software Engineering (2 2007.12.03-07 Recife)

Berlin u.a. Springer 2010

Acesso online. A biblioteca também possui exemplares impressos.

2
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
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A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

Li, Zewen ; Liu, Fan ; Yang, Wenjie ; Peng, Shouheng ; Zhou, Jun

IEEE transaction on neural networks and learning systems, 2022-12, Vol.33 (12), p.6999-7019

United States: IEEE

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3
A Survey of the Usages of Deep Learning for Natural Language Processing
A Survey of the Usages of Deep Learning for Natural Language Processing
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A Survey of the Usages of Deep Learning for Natural Language Processing

Otter, Daniel W. ; Medina, Julian R. ; Kalita, Jugal K.

IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.604-624

United States: IEEE

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4
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
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Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

Sakhavi, Siavash ; Guan, Cuntai ; Yan, Shuicheng

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5619-5629

United States: IEEE

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5
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data
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Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

Sattler, Felix ; Wiedemann, Simon ; Muller, Klaus-Robert ; Samek, Wojciech

IEEE transaction on neural networks and learning systems, 2020-09, Vol.31 (9), p.3400-3413

IEEE

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6
Classification in the Presence of Label Noise: A Survey
Classification in the Presence of Label Noise: A Survey
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Classification in the Presence of Label Noise: A Survey

Frenay, Benoit ; Verleysen, Michel

IEEE transaction on neural networks and learning systems, 2014-05, Vol.25 (5), p.845-869

New York, NY: IEEE

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7
Deep Subdomain Adaptation Network for Image Classification
Deep Subdomain Adaptation Network for Image Classification
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Deep Subdomain Adaptation Network for Image Classification

Zhu, Yongchun ; Zhuang, Fuzhen ; Wang, Jindong ; Ke, Guolin ; Chen, Jingwu ; Bian, Jiang ; Xiong, Hui ; He, Qing

IEEE transaction on neural networks and learning systems, 2021-04, Vol.32 (4), p.1713-1722

United States: IEEE

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8
When Gaussian Process Meets Big Data: A Review of Scalable GPs
When Gaussian Process Meets Big Data: A Review of Scalable GPs
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When Gaussian Process Meets Big Data: A Review of Scalable GPs

Liu, Haitao ; Ong, Yew-Soon ; Shen, Xiaobo ; Cai, Jianfei

IEEE transaction on neural networks and learning systems, 2020-11, Vol.31 (11), p.4405-4423

United States: IEEE

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9
Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
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Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

Khan, Salman H. ; Hayat, Munawar ; Bennamoun, Mohammed ; Sohel, Ferdous A. ; Togneri, Roberto

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3573-3587

United States: IEEE

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10
EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation
EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation
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EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation

Gao, Zhongke ; Wang, Xinmin ; Yang, Yuxuan ; Mu, Chaoxu ; Cai, Qing ; Dang, Weidong ; Zuo, Siyang

IEEE transaction on neural networks and learning systems, 2019-09, Vol.30 (9), p.2755-2763

United States: IEEE

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Deste Autor:

  1. Cavalcanti, A
  2. PSSE
  3. Woodcock, J
  4. Pernambuco Summer School on Software Engineering
  5. Borba, P

Neste Assunto:

  1. Software
  2. Computer Science
  3. Software
  4. Computer Science
  5. Science & Technology

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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