Zobrazeno 1 - 10
of 223
pro vyhledávání: '"Gou, Shuiping"'
Electronic health records (EHRs) are usually highly dimensional, heterogeneous, and multimodal. Besides, the random recording of clinical variables results in high missing rates and uneven time intervals between adjacent records in the multivariate c
Externí odkaz:
http://arxiv.org/abs/2205.04892
Publikováno v:
Machine Intelligence Research, vol. 21, pp. 331-348, 2024
Facial expression recognition (FER) is still one challenging research due to the small inter-class discrepancy in the facial expression data. In view of the significance of facial crucial regions for FER, many existing researches utilize the prior in
Externí odkaz:
http://arxiv.org/abs/2203.14045
Autor:
Sha, Yu, Faber, Johannes, Gou, Shuiping, Liu, Bo, Li, Wei, Schramm, Stefan, Stoecker, Horst, Steckenreiter, Thomas, Vnucec, Domagoj, Wetzstein, Nadine, Widl, Andreas, Zhou, Kai
Publikováno v:
Engineering Applications of Artificial Intelligence, 113 (2022), 104904
With the rapid development of smart manufacturing, data-driven machinery health management has received a growing attention. As one of the most popular methods in machinery health management, deep learning (DL) has achieved remarkable successes. Howe
Externí odkaz:
http://arxiv.org/abs/2203.01118
Autor:
Sha, Yu, Faber, Johannes, Gou, Shuiping, Liu, Bo, Li, Wei, Schramm, Stefan, Stoecker, Horst, Steckenreiter, Thomas, Vnucec, Domagoj, Wetzstein, Nadine, Widl, Andreas, Zhou, Kai
With the rapid development of smart manufacturing, data-driven machinery health management has been of growing attention. In situations where some classes are more difficult to be distinguished compared to others and where classes might be organised
Externí odkaz:
http://arxiv.org/abs/2203.01429
Autor:
Sha, Yu, Faber, Johannes, Gou, Shuiping, Liu, Bo, Li, Wei, Schramm, Stefan, Stoecker, Horst, Steckenreiter, Thomas, Vnucec, Domagoj, Wetzstein, Nadine, Widl, Andreas, Zhou, Kai
Publikováno v:
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2022
Anomalous sound detection (ASD) is one of the most significant tasks of mechanical equipment monitoring and maintaining in complex industrial systems. In practice, it is vital to precisely identify abnormal status of the working mechanical system, wh
Externí odkaz:
http://arxiv.org/abs/2202.13245
Autor:
Sha, Yu, Faber, Johannes, Gou, Shuiping, Liu, Bo, Li, Wei, Schramm, Stefan, Stoecker, Horst, Steckenreiter, Thomas, Vnucec, Domagoj, Wetzstein, Nadine, Widl, Andreas, Zhou, Kai
Publikováno v:
Measurement 192 (2022), 110897
Valves are widely used in industrial and domestic pipeline systems. However, during their operation, they may suffer from the occurrence of the cavitation, which can cause loud noise, vibration and damage to the internal components of the valve. Ther
Externí odkaz:
http://arxiv.org/abs/2202.13226
Autor:
Gou, Shuiping, Sha, Yu, Liu, Bo, Liu, Ningtao, Fabe, Johannes, Schramm, Stefan, Stoecker, Horst, Steckenreiter, Thomas, Vnucec, Domagoj, Wetzstein, Nadine, Widl, Andreas, Zhou, Kai
Publikováno v:
In Expert Systems With Applications 15 December 2024 258
Autor:
Mao, Shasha, Shi, Guanghui, Jiao, Licheng, Gou, Shuiping, Li, Yangyang, Xiong, Lin, Shi, Boxin
By utilizing label distribution learning, a probability distribution is assigned for a facial image to express a compound emotion, which effectively improves the problem of label uncertainties and noises occurred in one-hot labels. In practice, it is
Externí odkaz:
http://arxiv.org/abs/2107.11061
Publikováno v:
In Computers in Biology and Medicine May 2024 174
Existing polarimetric synthetic aperture radar (PolSAR) image classification methods cannot achieve satisfactory performance on complex scenes characterized by several types of land cover with significant levels of noise or similar scattering propert
Externí odkaz:
http://arxiv.org/abs/1903.07243