Auflistung nach Schlagwort "neural networks"

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  • Analysis of experimental biosensor/FIA lactose measurements 
    Ferreira, L.S.; Souza, M.B.; Trierweiler, J.O.; Hitzmann, B.; Folly, R.O.M. (Sao Paulo : Brazilian Soc. Chemical Eng., 2003)
    Whey is an abundant effluent in the production of cheese and casein. The biotechnological utilization of this economically important and nutritive source is limited mainly because of the presence of high percentages of ...
  • Analytik und Regelung von biotechnischen Prozessen 
    Ritzka, Adnan Jens (Hannover : Universität, 1999)
    [no abstract]
  • Deep Learning Based Classification of Pedestrian Vulnerability Trained on Synthetic Datasets 
    Schleusner, Jens; Neu, Lothar; Behmann, Nicolai; Blume, Holger (Piscataway, NJ : IEEE, 2019)
    The reliable detection of vulnerable road users and the assessment of the actual vulnerability is an important task for the collision warning algorithms of driver assistance systems. Current systems make assumptions about ...
  • Global Triggers for Attacking and Analyzing Ranking Models 
    Wang, Yumeng (Hannover : Gottfried Wilhelm Leibniz Universität, 2022)
    Text ranking models based on BERT are now well established for a wide range of pas- sage and document ranking tasks. However, the robustness of BERT-based ranking models under adversarial attack is under-explored. In ...
  • Multivariate Verfahren zur Auswertung von FIA-Messsignalen und deren praktische Anwendung 
    Broxtermann, Olaf (Hannover : Universität, 2003)
    [no abstract]
  • Searches for continuous gravitational waves : sensitivity estimation and deep learning as a novel search method 
    Dreißigacker, Christoph (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2020)
    The first direct detections of gravitational waves from merging black holes and neutron stars started the era of gravitational-wave astronomy. Since then, observing merging compact objects has become routine. Other ...
  • SoccerNet 2022 Challenges Results 
    Giancola, Silvio; Cioppa, Anthony; Deliège, Adrien; Magera, Floriane; Somers, Vladimir; Kang, Le; Zhou, Xin; Barnich, Olivier; De Vleeschouwer, Christophe; Alahi, Alexandre; Ghanem, Bernard; Van Droogenbroeck, Marc; Darwish, Abdulrahman; Maglo, Adrien; Clapés, Albert; Luyts, Andreas; Boiarov, Andrei; Xarles, Artur; Orcesi, Astrid; Shah, Avijit; Fan, Baoyu; Comandur, Bharath; Chen, Chen; Zhang, Chen; Zhao, Chen; Lin, Chengzhi; Chan, Cheuk-Yiu; Hui, Chun Chuen; Li, Dengjie; Yang, Fan; Liang, Fan; Da, Fang; Yan, Feng; Yu, Fufu; Wang, Guanshuo; Chan, H. Anthony; Zhu, He; Kan, Hongwei; Chu, Jiaming; Hu, Jianming; Gu, Jianyang; Chen, Jin; Soares, João V. B.; Theiner, Jonas; De Corte, Jorge; Brito, José Henrique; Zhang, Jun; Li, Junjie; Liang, Junwei; Shen, Leqi; Ma, Lin; Chen, Lingchi; Santos Marques, Miguel; Azatov, Mike; Kasatkin, Nikita; Wang, Ning; Jia, Qiong; Pham, Quoc Cuong; Ewerth, Ralph; Song, Ran; Li, Rengang; Gade, Rikke; Debien, Ruben; Zhang, Runze; Lee, Sangrok; Escalera, Sergio; Jiang, Shan; Odashima, Shigeyuki; Chen, Shimin; Masui, Shoichi; Ding, Shouhong; Chan, Sin-wai; Chen, Siyu; El-Shabrawy, Tallal; He, Tao; Moeslund, Thomas B.; Siu, Wan-Chi; Zhang, Wei; Li, Wei; Wang, Xiangwei; Tan, Xiao; Li, Xiaochuan; Wei, Xiaolin; Ye, Xiaoqing; Liu, Xing; Wang, Xinying; Guo, Yandong; Zhao, Yaqian; Yu, Yi; Li, Yingying; He, Yue; Zhong, Yujie; Guo, Zhenhua; Li, Zhiheng (New York, NY : Association for Computing Machinery, 2022)
    The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks: (1) action spotting, focusing on retrieving ...
  • Using semantically paired images to improve domain adaptation for the semantic segmentation of aerial images 
    Gritzner, D.; Ostermann, J. (Katlenburg-Lindau : Copernicus Publications, 2020)
    Modern machine learning, especially deep learning, which is used in a variety of applications, requires a lot of labelled data for model training. Having an insufficient amount of training examples leads to models which ...