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ORCIDSalvatore Cuomo
- > Home > Persons > Salvatore Cuomo
Publications
- 2022
[j71]Zhengjing Ma
, Gang Mei, Salvatore Cuomo, Francesco Piccialli:
Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part B): 3433-3447 (2022)- [j70]Federico Gatta, Fabio Giampaolo, Edoardo Prezioso, Gang Mei, Salvatore Cuomo, Francesco Piccialli:
Neural networks generative models for time series. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 7920-7939 (2022) - [j67]Lei Xiao, Gang Mei, Salvatore Cuomo, Nengxiong Xu:
Comparative investigation of GPU-accelerated triangle-triangle intersection algorithms for collision detection. Multim. Tools Appl. 81(3): 3165-3180 (2022) - [j66]Naijie Fan, Gang Mei, Zengyu Ding, Salvatore Cuomo, Nengxiong Xu:
Effects of spatial decomposition on the efficiency of kNN search in spatial interpolations. Int. J. Parallel Emergent Distributed Syst. 37(1): 103-121 (2022) - 2021
- [j63]Chun Liu, Shuangyan Wang, Salvatore Cuomo, Gang Mei:
Data analysis and mining of traffic features based on taxi GPS trajectories: A case study in Beijing. Concurr. Comput. Pract. Exp. 33(3) (2021) - [j61]Shuangyan Wang, Gang Mei, Salvatore Cuomo:
A generic paradigm for mining human mobility patterns based on the GPS trajectory data using complex network analysis. Concurr. Comput. Pract. Exp. 33(4) (2021) - [j57]Xiaoyu Qi, Gang Mei, Salvatore Cuomo, Chun Liu, Nengxiong Xu:
Data analysis and mining of the correlations between meteorological conditions and air quality: A case study in Beijing. Internet Things 14: 100127 (2021) - [i8]Zhengjing Ma, Gang Mei, Salvatore Cuomo, Francesco Piccialli:
Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction. CoRR abs/2105.13125 (2021) - 2020
- [j52]Jiayu Qin, Gang Mei, Salvatore Cuomo, Sixu Guo, Yixuan Li:
CudaCHPre2D: A straightforward preprocessing approach for accelerating 2D convex hull computations on the GPU. Concurr. Comput. Pract. Exp. 32(10) (2020) - [j51]Kaifeng Gao, Gang Mei, Francesco Piccialli, Salvatore Cuomo, Jingzhi Tu, Zenan Huo:
Julia language in machine learning: Algorithms, applications, and open issues. Comput. Sci. Rev. 37: 100254 (2020) - [j47]Xiaoyu Qi, Gang Mei, Salvatore Cuomo, Lei Xiao:
A network-based method with privacy-preserving for identifying influential providers in large healthcare service systems. Future Gener. Comput. Syst. 109: 293-305 (2020) - [j44]Zengyu Ding, Gang Mei, Salvatore Cuomo, Yixuan Li, Nengxiong Xu:
Comparison of Estimating Missing Values in IoT Time Series Data Using Different Interpolation Algorithms. Int. J. Parallel Program. 48(3): 534-548 (2020) - [j36]Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu:
ARBF: adaptive radial basis function interpolation algorithm for irregularly scattered point sets. Soft Comput. 24(23): 17693-17704 (2020) - [i6]Kaifeng Gao, Jingzhi Tu, Zenan Huo, Gang Mei, Francesco Piccialli, Salvatore Cuomo:
Julia Language in Machine Learning: Algorithms, Applications, and Open Issues. CoRR abs/2003.10146 (2020) - 2019
- [j31]Shuangyan Wang, Salvatore Cuomo, Gang Mei, Wuyi Cheng, Nengxiong Xu:
Efficient method for identifying influential vertices in dynamic networks using the strategy of local detection and updating. Future Gener. Comput. Syst. 91: 10-24 (2019) - [j29]Shuangyan Wang, Gang Mei, Salvatore Cuomo:
A simple and generic paradigm for creating complex networks using the strategy of vertex selecting-and-pairing. Future Gener. Comput. Syst. 100: 994-1004 (2019) - [c49]Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu:
Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data. NUMTA(1) 2019: 122-130 - [i5]Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu:
Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data. CoRR abs/1908.03690 (2019) - 2018
- [j23]Zengyu Ding, Gang Mei, Salvatore Cuomo, Hong Tian, Nengxiong Xu:
Accelerating multi-dimensional interpolation using moving least-squares on the GPU. Concurr. Comput. Pract. Exp. 30(24) (2018) - [j18]Gang Mei, Salvatore Cuomo, Hong Tian, Nengxiong Xu, Linjun Peng:
MeshCleaner: A Generic and Straightforward Algorithm for Cleaning Finite Element Meshes. Int. J. Parallel Program. 46(3): 565-583 (2018) - [j15]Zengyu Ding, Gang Mei, Salvatore Cuomo, Nengxiong Xu, Hong Tian:
Performance Evaluation of GPU-Accelerated Spatial Interpolation Using Radial Basis Functions for Building Explicit Surfaces. Int. J. Parallel Program. 46(5): 963-991 (2018) - [c48]Naijie Fan, Gang Mei, Zengyu Ding, Salvatore Cuomo, Nengxiong Xu:
Effect of Spatial Decomposition on the Efficiency of k Nearest Neighbors Search in Spatial Interpolation. Euro-Par Workshops 2018: 667-679
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