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Publication search results
found 336 matches
- 2024
- Sedighe Rastaghi, Azadeh Saki, Hamed Tabesh:
Correction: Modifying the false discovery rate procedure based on the information theory under arbitrary correlation structure and its performance in high-dimensional genomic data. BMC Bioinform. 25(1): 83 (2024) - Sedighe Rastahi, Azadeh Saki, Hamed Tabesh:
Modifying the false discovery rate procedure based on the information theory under arbitrary correlation structure and its performance in high-dimensional genomic data. BMC Bioinform. 25(1): 57 (2024) - Enrique R. Sebastian, Julio Esparza, Liset M. De La Prida:
Quantifying the distribution of feature values over data represented in arbitrary dimensional spaces. PLoS Comput. Biol. 20(1) (2024) - Teng-Fei Ding, Li-Ping Song, Ming-Feng Ge, Zhi-Wei Liu, Ming Chi:
Practical Resource Allocation of Networked Euler-Lagrange Agents With Quantized-Data Interactions and Arbitrary Bounded Uncertainties. IEEE Trans. Netw. Sci. Eng. 11(2): 1442-1453 (2024) - Minghai Chen:
Flow-Event Autoencoder: Event Stream Object Recognition Dataset Generation with Arbitrary High Temporal Resolution. AAAI 2024: 23733-23735 - William G. Powell, Hanbaek Lyu:
Stochastic optimization with arbitrary recurrent data sampling. CoRR abs/2401.07694 (2024) - Dongheon Lee, Seungmyong Jeong, Youngmin Ro:
Arbitrary-Scale Downscaling of Tidal Current Data Using Implicit Continuous Representation. CoRR abs/2401.15893 (2024) - 2023
- Waqas W. Ahmed, Mohamed Farhat, Pai-Yen Chen, Xiangliang Zhang, Ying Wu:
A Generative Deep Learning Approach for Shape Recognition of Arbitrary Objects from Phaseless Acoustic Scattering Data. Adv. Intell. Syst. 5(5) (2023) - Ruijia Li, Zhiling Cai:
A clustering algorithm based on density decreased chain for data with arbitrary shapes and densities. Appl. Intell. 53(2): 2098-2109 (2023) - Lisha Song, Shuguang He, Ting Li, Yanfen Shang:
Semiparametric control schemes for dynamically monitoring profiles with count data and arbitrary design. Int. J. Prod. Res. 61(4): 1185-1201 (2023) - Fei Wang, Le Li, Zhiqiang Liu:
Stratification-based semi-supervised clustering algorithm for arbitrary shaped datasets. Inf. Sci. 639: 119004 (2023) - Franck Assous, Irina Raichik:
A numerical method for 3D Time-dependent Maxwell's equations in axisymmetric singular Domains with Arbitrary Data. Math. Model. Anal. 28(3): 487-508 (2023) - Zhen Qin, Shuiguang Deng, Xueqiang Yan, Lu Lu, Mingyu Zhao, Yan Xi, Jianjun Wu, Tao Sun, Nanxiang Shi:
6G Data Plane: A Novel Architecture Enabling Data Collaboration with Arbitrary Topology. Mob. Networks Appl. 28(1): 394-405 (2023) - Linyuan Fan, Dandan Ji, Peng Lin:
Arbitrary surface data patching method based on geometric convolutional neural network. Neural Comput. Appl. 35(12): 8763-8774 (2023) - Sergey Oladyshkin, Timothy Praditia, Ilja Kröker, Farid Mohammadi, Wolfgang Nowak, Sebastian Otte:
The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory. Neural Networks 166: 85-104 (2023) - Bo Huang, Victor Junqiu Wei, Raymond Chi-Wing Wong, Bo Tang:
EAR-Oracle: On Efficient Indexing for Distance Queries between Arbitrary Points on Terrain Surface. Proc. ACM Manag. Data 1(1): 14:1-14:26 (2023) - Wen Yao, Xiaohu Zheng, Jun Zhang, Ning Wang, Guijian Tang:
Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification. Reliab. Eng. Syst. Saf. 229: 108813 (2023) - Fengwei Wang, Hui Zhu, Guozhang He, Rongxing Lu, Yandong Zheng, Hui Li:
Efficient and Privacy-Preserving Arbitrary Polygon Range Query Scheme Over Dynamic and Time-Series Location Data. IEEE Trans. Inf. Forensics Secur. 18: 3414-3429 (2023) - Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, John Yannis Goulermas:
Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction. IEEE Trans. Knowl. Data Eng. 35(6): 5837-5850 (2023) - Khalil Boukthir, Tarek M. Hamdani, Adel M. Alimi:
Arbitrary-Oriented Arabic Scene Text Annotation Based DeepAL and Scale-Aware Data Augmentation. SSD 2023: 463-468 - Robi Bhattacharjee, Jacob Imola, Michal Moshkovitz, Sanjoy Dasgupta:
Online k-means Clustering on Arbitrary Data Streams. ALT 2023: 204-236 - Tong Yao, Shreyas Sundaram:
Robust Online Covariance and Sparse Precision Estimation Under Arbitrary Data Corruption. CDC 2023: 5002-5007 - Stefan Abi-Karam, Rishov Sarkar, Dejia Xu, Zhiwen Fan, Zhangyang Wang, Cong Hao:
INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing. ICCAD 2023: 1-9 - Nicola Zaru, Matteo Rossi, Giuseppina Vacca, Giulio Vignoli:
(Pseudo-)3D Inversion of Geophysical Electromagnetic Induction Data by Using an Arbitrary Prior and Constrained to Ancillary Information. ICCSA (Workshops 8) 2023: 624-638 - Wan Liu, Chuyang Ye:
Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap. IPMI 2023: 629-640 - Juan M. Cardenas, Ben Adcock, Nick C. Dexter:
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions. NeurIPS 2023 - Francesco Gagliardi, Danilo Scintu, Massimo Piotto, Paolo Bruschi, Michele Dei:
Performance Modelling of Optimal Combination Algorithms Applied to Arbitrary Data Converter Architectures. NorCAS 2023: 1-7 - Shucheng Li, Boyu Chang, Bo Yang, Hao Wu, Sheng Zhong, Fengyuan Xu:
Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in English. SIGIR 2023: 749-759 - Carlos Mora, Jonathan Tammer Eweis-Labolle, Tyler Johnson, Likith Gadde, Ramin Bostanabad:
Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets. CoRR abs/2301.13271 (2023) - Qidong Yang, Alex Hernández-García, Paula Harder, Venkatesh Ramesh, Prasanna Sattigeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick:
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling. CoRR abs/2305.14452 (2023)
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