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检索条件"机构=The Data Driven Computer Engineering Research Group"
504 条 记 录,以下是361-370 订阅
排序:
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
arXiv
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arXiv 2023年
作者: Chatterjee, Soumick Gaidzik, Franziska Sciarra, Alessandro Mattern, Hendrik Janiga, Gábor Speck, Oliver Nürnberger, Andreas Pathiraja, Sahani Data and Knowledge Engineering Group Faculty of Computer Science Otto von Guericke University Magdeburg Germany Genomics Research Centre Human Technopole Milan Italy Laboratory of Fluid Dynamics and Technical Flows Otto von Guericke University Magdeburg Germany Department of Biomedical Magnetic Resonance Faculty of Natural Sciences Otto von Guericke University Magdeburg Germany Department of Neurology Medical Faculty University Hospital Magdeburg Germany German Centre for Neurodegenerative Disease Magdeburg Germany Centre for Behavioural Brain Sciences Magdeburg Germany School of Mathematics & Statistics UNSW Sydney UNSW Data Science Hub Australia
In the domain of medical imaging, many supervised learning based methods for segmentation face several challenges such as high variability in annotations from multiple experts, paucity of labelled data and class imbal... 详细信息
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Raman scattering investigation of a Ge/SiO2/Si nanocrystal system under hydrostatic pressure
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Physical Review B 2004年 第12期69卷 125333-125333页
作者: Lei Liu K. L. Teo Z. X. Shen J. S. Sun E. H. Ong A. V. Kolobov Y. Maeda Physics Department Blk. S12 Faculty of Science National University of Singapore 2 Science Drive 3 117542 Singapore Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 117576 Singapore Mechatronics & Micro System Group Data Storage Institute 117608 Singapore Center for Applied Near-Field Optics Research (CANFOR) National Institute of Advanced Industrial Science and Technology Tsukuba Central 4 1-1-1 Higashi Tsukuba Ibaraki 305-8562 Japan Department of Energy Science and Technology Kyoto University Sakyo-ku Kyoto 606-8501 Japan
We have studied the hydrostatic pressure dependence of Ge nanocrystals embedded in a SiO2 matrix on a Si substrate by Raman scattering at room temperature. During the first cycle of increasing pressure, we observed a ...
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2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG data Sets  35
2021 BEETL Competition: Advancing Transfer Learning for Subj...
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35th Conference on Neural Information Processing Systems - Competitions and Demonstrations, NeurIPS 2021
作者: Wei, Xiaoxi Aldo Faisal, A. Grosse-Wentrup, Moritz Gramfort, Alexandre Chevallier, Sylvain Jayaram, Vinay Jeunet, Camille Bakas, Stylianos Ludwig, Siegfried Barmpas, Konstantinos Bahri, Mehdi Panagakis, Yannis Laskaris, Nikolaos Adamos, Dimitrios A. Zafeiriou, Stefanos Duong, William C. Gordon, Stephen M. Lawhern, Vernon J. Śliwowski, Maciej Rouanne, Vincent Tempczyk, Piotr Brain and Behaviour Lab Imperial College London United Kingdom Institute of Artificial and Human Intelligence University of Bayreuth Germany Faculty of Computer Science CogSciHub Data Science@Univie University of Vienna Austria Universite Paris-Saclay Inria CEA Palaiseau France LISV UVSQ Université Paris-Saclay France Reality Labs United States University of Bordeaux France Cogitat Ltd. United Kingdom Intelligent Behaviour Understanding Group Imperial College London United Kingdom Aristotle University of Thessaloniki Greece National and Kapodistrian University of Athens Greece DCS Corporation AlexandriaVA United States Human Research and Engineering Directorate DEVCOM Army Research Laboratory Aberdeen Proving GroundMD United States Univ. Grenoble Alpes CEA LETI Clinatec GrenobleF-38000 France Université Paris-Saclay CEA List PalaiseauF-91120 France Warsaw Poland deeptale.ai Poland
Transfer learning and meta-learning offer some of the most promising avenues to unlock the scalability of healthcare and consumer technologies driven by biosignal data. This is because regular machine learning methods... 详细信息
来源: 评论
High-dimensional Gaussian graphical model selection: walk summability and local separation criterion
The Journal of Machine Learning Research
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The Journal of Machine Learning research 2012年 第1期13卷
作者: Animashree Anandkumar Vincent Y. F. Tan Furong Huang Alan S. Willsky Electrical Engineering and Computer Science University of California Irvine Irvine CA Data Mining Department Institute for Infocomm Research Singapore Electrical and Computer Engineering National University of Singapore Stochastic Systems Group Laboratory for Information and Decision Systems Massachusetts Institute of Technology Cambridge MA
We consider the problem of high-dimensional Gaussian graphical model selection. We identify a set of graphs for which an efficient estimation algorithm exists, and this algorithm is based on thresholding of empirical ... 详细信息
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The Importance of Gender Specification for Detection of Driver Fatigue using a Single EEG Channel
The Importance of Gender Specification for Detection of Driv...
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Biomedical engineering International Conference (BMEiCON)
作者: Mohammad Shahbakhti Matin Beiramvand Erfan Nasiri Wei Chen Jordi Solé-Casals Michal Wierzchon Anna Broniec-Wójcik Piotr Augustyniak Vaidotas Marozas Biomedical Engineering Institute Kaunas University of Technology Kaunas Lithuania Faculty of Information Technology and Communication Tampere University Tempere Finland Faculty of Statistics Mathematics and Computer Allameh Tabataba’i University Tehran Iran Center for Intelligent Medical Electronics School of Information Science and Technology the Human Phenome Institute Fudan University Shanghai China Data and Signal Processing Research Group University of Vic-Central University of Catalonia Vic Spain Institute of Psychology Jagiellonian University Krakow Poland Department of Biocybernetics and Biomedical Engineering AGH University of Science and Technology Krakow Poland
Although detection of the driver fatigue using a single electroencephalography (EEG) channel has been addressed in literature, the gender differentiation for applicability of the model has not been investigated hereto... 详细信息
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A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
arXiv
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arXiv 2023年
作者: Gui, Jie Chen, Tuo Zhang, Jing Cao, Qiong Sun, Zhenan Luo, Hao Tao, Dacheng School of Cyber Science and Engineering Southeast University with Purple Mountain Laboratories Nanjing210000 China School of Cyber Science and Engineering Southeast University China School of Computer Science The University of Sydney CamperdownNSW2050 Australia College of Computing & Data Science Nanyang Technological University #32 Block N4 #02a-014 50 Nanyang Avenue Singapore639798 Singapore JD Explore Academy Center for Research on Intelligent Perception and Computing Chinese Academy of Sciences Beijing100190 China Alibaba Group Hangzhou310052 China
Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be expensive and time-consuming. ... 详细信息
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Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
arXiv
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arXiv 2023年
作者: Khatun, Rupali Chatterjee, Soumick Bert, Christoph Wadepohl, Martin Ott, Oliver J. Semrau, Sabine Fietkau, Rainer Nürnberger, Andreas Gaipl, Udo S. Frey, Benjamin Department of Radiation Oncology Universitätsklinikum Erlangen Friedrich-Alexnder-Universität Erlangen-Nürnberg Erlangen Germany Department of Radiation Oncology Universitätsklinikum Erlangen Friedrich-Alexnder-Universität Erlangen-Nürnberg Erlangen Germany Comprehensive Cancer Centre Erlangen-EMN Erlangen Germany Data and Knowledge Engineering Group Faculty of Computer Science Otto von Guericke University Magdeburg Germany Genomics Research Centre Human Technopole Milan Italy Dr Sennewald Medizintechnik GmbH Munich Germany
Hyperthermia (HT) in combination with radio- and/or chemotherapy has become an accepted cancer treatment for distinct solid tumour entities. In HT, tumour tissue is exogenously heated to temperatures between 39 and 43... 详细信息
来源: 评论
Understanding the predictability of path flow distribution in urban road networks using an information entropy approach
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Multimodal Transportation 2024年 第2期3卷
作者: Guo, Bao Huang, Zhiren Zheng, Zhihao Zhang, Fan Wang, Pu School of Traffic and Transportation Engineering Rail Data Research and Application Key Laboratory of Hunan Province Central South University Changsha China Shandong Provincial Communications Planning and Design Institute Group Co. Ltd Jinan China Department of Computer Science Aalto University Helsinki Finland Department of Civil Engineering McGill University Montreal H3A 0C3 QC Canada Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China
Predicting the distributions of path flow between origin-destination (OD) pairs in an urban road network is crucial for developing efficient traffic control and management strategies. Here, we use the large-scale taxi... 详细信息
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Towards Faster Fully Homomorphic Encryption Implementation with Integer and Floating-point Computing Power of GPUs
Towards Faster Fully Homomorphic Encryption Implementation w...
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International Symposium on Parallel and Distributed Processing (IPDPS)
作者: Guang Fan Fangyu Zheng Lipeng Wan Lili Gao Yuan Zhao Jiankuo Dong Yixuan Song Yuewu Wang Jingqiang Lin State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Data Assurance and Communication Security Research Center Chinese Academy of Sciences Beijing China School of Cryptography University of Chinese Academy of Sciences Beijing China Department of Computer and Software Nanjing University of Information Science and Technology Nanjing China Ant Group Hangzhou China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China School of Cyber Security University of Science and Technology of China Hefei China
Fully Homomorphic Encryption (FHE) allows computations on encrypted data without knowledge of the plaintext message and currently has been the focus of both academia and industry. However, the performance issue hinder...
来源: 评论
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
arXiv
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arXiv 2020年
作者: Chatterjee, Soumick Saad, Fatima Sarasaen, Chompunuch Ghosh, Suhita Krug, Valerie Khatun, Rupali Mishra, Rahul Desai, Nirja Radeva, Petia Rose, Georg Stober, Sebastian Speck, Oliver Nürnberger, Andreas Data and Knowledge Engineering Group Otto von Guericke University Magdeburg Germany Faculty of Computer Science Otto von Guericke University Magdeburg Germany Genomics Research Centre Human Technopole Italy Institute for Medical Engineering Otto von Guericke University Magdeburg Germany Research Campus STIMULATE Otto von Guericke University Magdeburg Germany Biomedical Magnetic Resonance Otto von Guericke University Magdeburg Germany Artificial Intelligence Lab Otto von Guericke University Magdeburg Germany Department of Mathematics and Computer Science University of Barcelona Barcelona Spain Translational Radiobiology Department of Radiation Oncology Universitätsklinikum Erlangen Erlangen Germany Apollo Hospitals Bilaspur India HCG Cancer Centre Vadodara India Computer Vision Centre Cerdanyola Barcelona Spain Centre for Behavioural Brain Sciences Magdeburg Germany German Centre for Neurodegenerative Diseases Magdeburg Germany
The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread and has challenged different sectors. One of the most effective ways to limit its spread is the early and accurate diagnosing infected... 详细信息
来源: 评论