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- International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
also: Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS @ SC) - ACM International Conference on Multimedia (MM)
also: International Workshop on Internet-Scale Multimedia Management (WISMM @ MM) - Annual International Conference on Mobile Computing and Networking (MobiCom)
also: International Workshop on Hot Topics in Planet-Scale Measurement (HotPlanet @ MobiCom) - International Conference on Information and Knowledge Management (CIKM)
also: Workshop on Large-Scale Distributed Systems for Information Retrieval (LSDS-IR @ CIKM) - ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
also: Workshop on Large-Scale Parallel KDD Systems
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Publication search results
found 84,736 matches
- 2025
- Helena Molina-Abril, María José Morón-Fernández, Marc Benito-Marimón, Fernando Díaz-del-Río, Pedro Real:
Topological scale framework for hypergraphs. Appl. Math. Comput. 485: 128989 (2025) - Gui-Hua Zhao, Shu-Jun Liu:
Decentralized adaptive finite-time stabilization for a class of non-local Lipschitzian large-scale stochastic nonlinear systems. Autom. 171: 111900 (2025) - Marcelo Luiz Harry Diniz Lemos, Ronaldo E Silva Vieira, Anderson Rocha Tavares, Leandro Soriano Marcolino, Luiz Chaimowicz:
Enhancing deep reinforcement learning for scale flexibility in real-time strategy games. Entertain. Comput. 52: 100843 (2025) - Vlad Gheorghiu, Michele Mosca:
Quantum resource estimation for large scale quantum algorithms. Future Gener. Comput. Syst. 162: 107480 (2025) - Kaixin Gong, Weimin Ma, Mark Goh:
An ordinal-cardinal consensus model for three-way large-scale group decision-making considering co-opetition relations. Inf. Fusion 113: 102635 (2025) - Zhihua Cui, Yijing Wu, Tianhao Zhao, Wensheng Zhang, Jinjun Chen:
A two-stage accelerated search strategy for large-scale multi-objective evolutionary algorithm. Inf. Sci. 686: 121347 (2025) - Lin Pan, Qianqian Ren, Zilong Li, Caihong Zhao:
Multi-scale synchronous contextual network for fine-grained urban flow inference. Inf. Sci. 689: 121459 (2025) - Lei-Xi Wang, Wei-Zhi Wu, Zhen-Huang Xie, Anhui Tan:
Optimal scale combination selection in generalized multi-scale hybrid decision systems. Inf. Sci. 689: 121429 (2025) - Yingshuai Wang, Dezheng Zhang, Aziguli Wulamu:
Self-supervised cognitive learning for multifaced interest in large-scale industrial recommender systems. Inf. Sci. 686: 121338 (2025) - Jiale Linghu, Weifeng Gao, Hao Dong, Yufeng Nie:
Higher-order multi-scale physics-informed neural network (HOMS-PINN) method and its convergence analysis for solving elastic problems of authentic composite materials. J. Comput. Appl. Math. 456: 116223 (2025) - Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu:
Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation. Pattern Recognit. 158: 110962 (2025) - Yujie Li, Tao Sun, Zezhi Shao, Yiqiang Zhen, Yongjun Xu, Fei Wang:
Trajectory-User Linking via Multi-Scale Graph Attention Network. Pattern Recognit. 158: 110978 (2025) - Haijiao Xing, Wei Wei, Lei Zhang, Yanning Zhang:
Multi-scale feature extraction and fusion with attention interaction for RGB-T tracking. Pattern Recognit. 157: 110917 (2025) - Zipeng Wang, Jihong Yan, Guanzhong Yan, Boshuai Yu:
Multi-scale control and action recognition based human-robot collaboration framework facing new generation intelligent manufacturing. Robotics Comput. Integr. Manuf. 91: 102847 (2025) - Zhenning Zhou, Han Sun, Xi Vincent Wang, Zhinan Zhang, Qixin Cao:
Learning accurate and efficient three-finger grasp generation in clutters with an auto-annotated large-scale dataset. Robotics Comput. Integr. Manuf. 91: 102822 (2025) - Yukun Dong, Shuqi Wang, Lulu Zhang, Xiaoshan Liu, Shuai Liu:
Automatic detection of infeasible paths in large-scale program based on program summaries. Sci. Comput. Program. 239: 103183 (2025) - Jie Yang, Jun Wang:
An underwater image enhancement method based on multi-scale layer decomposition and fusion. Signal Process. 227: 109690 (2025) - Bernard Tamba Sandouno, Chadi Barakat, Thierry Turletti, Walid Dabbous:
Optimizing Ray Tracing Techniques for Generating Large-Scale 3D Radio Frequency Maps. WoWMoM 2025: 239-248 - Bernard Tamba Sandouno, Chadi Barakat, Thierry Turletti, Walid Dabbous:
Optimizing Ray Tracing Techniques for Generating Large-Scale 3D Radio Frequency Maps. WoWMoM 2025: 307-316 - Xiangdong Yang, Huaiwen He, Hong Shen, Aiguo Chen, Hui Tian:
Efficient Binary Task Offloading Optimization in Large-Scale IoT Networks via UAV-Enhanced Mobile Edge Computing. WoWMoM 2025: 33-38 - 2024
- Amir Hossein Afsharinejad:
Large scale data analytics for resilience of energy networks. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Mikhail Isaev:
Methodologies for co-designing supercomputer-scale systems and deep learning software. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Daan Rutten:
Compatibility, Predictions and Optimization in Large-scale Online Decision Making. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Siddhartha Sahu:
Optimizing Differential Computation for Large-Scale Graph Processing. University of Waterloo, Ontario, Canada, 2024 - Filip Vaverka:
Rozsáhlé simulace ultrazvuku za použití akcelerovaných clusterů ; Large-scale Ultrasound Simulations using Accelerated Clusters. Brno University of Technology, Czech Republic, 2024 - Juan Carlos Vizcarra:
Machine Learning in Digital Neuropathology: Towards a Large-Scale Analysis Platform for Federated Cohorts. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Johannes Kastner:
Discovery and explainability of fine-grained structures in large-scale user-generated data sets. University of Augsburg, Germany, 2024 - Paolo Notaro:
AI-based Proactive Failure Management in Large-scale Cloud Environments. Technical University of Munich, Germany, 2024 - Hartmut Schmidt:
Large-Scale Experiments on Wafer-Scale Neuromorphic Hardware. University of Heidelberg, Germany, 2024 - Vladimir Vutov:
Large-scale multiple testing under arbitrary covariance dependency and topological data analysis for mass spectrometry imaging applications. University of Bremen, Germany, 2024
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