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Publication search results
found 134 matches
- 2023
- Hao Wang, Huiyan Li:
Evaluation of Curriculum Implementation Effectiveness of Higher Vocational Education Based on Collaborative Filtering Algorithm. Scalable Comput. Pract. Exp. 24(3): 379-388 (2023) - Chun-Ming Lai, Ting-Wei Chang, Chao-Tung Yang:
An online and highly-scalable streaming platform for filtering trolls with transfer learning. J. Supercomput. 79(15): 16664-16687 (2023) - Martin Spisák, Radek Bartyzal, Antonín Hoskovec, Ladislav Peska, Miroslav Tuma:
Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering. RecSys 2023: 763-770 - Vojtech Vancura:
Scalable and Explainable Linear Shallow Autoencoders for Collaborative Filtering from Industrial Perspective. UMAP 2023: 290-295 - 2022
- Liang Liu, Peng Chen, Guangchun Luo, Zhao Kang, Yonggang Luo, Sanchu Han:
Scalable multi-view clustering with graph filtering. Neural Comput. Appl. 34(19): 16213-16221 (2022) - Tarique Siddiqui, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri:
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning. Proc. VLDB Endow. 15(10): 2019-2031 (2022) - Shengnan Zhang, Thippa Reddy Gadekallu:
Digital interference signal filtering on laser interface for optical fiber communication. EAI Endorsed Trans. Scalable Inf. Syst. 10(2): e14 (2022) - Vojtech Vancura, Rodrigo Alves, Petr Kasalický, Pavel Kordík:
Scalable Linear Shallow Autoencoder for Collaborative Filtering. RecSys 2022: 604-609 - Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng:
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. SIGIR 2022: 91-101 - Liang Liu, Peng Chen, Guangchun Luo, Zhao Kang, Yonggang Luo, Sanchu Han:
Scalable Multi-view Clustering with Graph Filtering. CoRR abs/2205.09228 (2022) - 2021
- Isabelle Hupont, Eva Cerezo, Sergio Ballano, Sandra Baldassarri:
On the origin of the methodology for the scalable fusion of affective channels in a continuous emotional space and the "emotional kinematics" filtering technique - A correction. Inf. Fusion 67: 1-2 (2021) - Fei Han, Zidong Wang, Hongli Dong, Hongjian Liu:
Partial-Nodes-Based Scalable H∞-Consensus Filtering With Censored Measurements Over Sensor Networks. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1892-1903 (2021) - Oscar Rahnama, Stuart Golodetz, Tommaso Cavallari, Philip H. S. Torr:
Scalable FPGA Median Filtering via a Directional Median Cascade. FCCM 2021: 273 - Zheng Wang, Zhuo Wang, Jian Liao, Chao Chen, Yongkui Yang, Bo Dong, Weiguang Chen, Wenxuan Chen, Ming Lei, Weiyu Guo, Rui Chen, Yi Peng, Zhibin Yu:
CNN-DMA: A Predictable and Scalable Direct Memory Access Engine for Convolutional Neural Network with Sliding-window Filtering. ACM Great Lakes Symposium on VLSI 2021: 115-121 - 2020
- Kai-Hsin Liou, Chao Yang, James R. Chelikowsky:
Scalable implementation of polynomial filtering for density functional theory calculation in PARSEC. Comput. Phys. Commun. 254: 107330 (2020) - Mahesh Kumar Singh, Om Prakash Rishi:
Event driven Recommendation System for E-commerce using Knowledge based Collaborative Filtering Technique. Scalable Comput. Pract. Exp. 21(3): 369-378 (2020) - Malathi V, M. P. Gopinath:
Noise Deduction in Novel Paddy Data Repository using Filtering Techniques. Scalable Comput. Pract. Exp. 21(4): 601-610 (2020) - Talabattula Viswanadham, Rajesh Kumar P.:
Artefacts Removal from ECG Signal: Dragonfly Optimization-based Learning Algorithm for Neural Network-enhanced Adaptive Filtering. Scalable Comput. Pract. Exp. 21(2): 247-263 (2020) - Bhargavi B., K. Swarupa Rani:
Finding Frequent Subgraphs and Subpaths through Static and Dynamic Window Filtering Techniques. EAI Endorsed Trans. Scalable Inf. Syst. 7(27): e11 (2020) - Yang Liu, Zidong Wang, Donghua Zhou:
Scalable Distributed Filtering for a Class of Discrete-Time Complex Networks Over Time-Varying Topology. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2930-2941 (2020) - Oscar Rahnama, Tommaso Cavallari, Philip H. S. Torr, Stuart Golodetz:
Scalable FPGA Median Filtering using Multiple Efficient Passes. FPGA 2020: 313 - Fatemeh Aghaeipoor, Mohammad Masoud Javidi, Isaac Triguero, Alberto Fernández:
Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach. FUZZ-IEEE 2020: 1-7 - 2019
- Ravi N. Haksar, Joseph Lorenzetti, Mac Schwager:
Scalable Filtering of Large Graph-Coupled Hidden Markov Models. CDC 2019: 1307-1314 - Joydeep Das, Madhurima Banerjee, Kalyani Mali, Subhashis Majumder:
Scalable Recommendations Using Clustering Based Collaborative Filtering. ICIT 2019: 279-284 - Kristiyan Manev, Anuj Vaishnav, Charalampos Kritikakis, Dirk Koch:
Scalable Filtering Modules for Database Acceleration on FPGAs. HEART 2019: 4:1-4:6 - Georg Rademacher, Kasper Ingerslev, Ruben S. Luis, Benjamin J. Puttnam, Werner Klaus, Tobias A. Eriksson, Satoshi Shinada, Yoshinari Awaji, Ryu Maruyama, Kazuhike Aikawa, Naoya Wada:
A Scalable SDM Receiver Front-End using Spectral Filtering and LO-Signal Mixing in the Few-Mode Domain. OECC/PSC 2019: 1-3 - 2018
- Kristiina Ausmees, Aji John, Salman Zubair Toor, Andreas Hellander, Carl Nettelblad:
BAMSI: a multi-cloud service for scalable distributed filtering of massive genome data. BMC Bioinform. 19(1): 240:1-240:11 (2018) - Manziba Akanda Nishi, Kostadin Damevski:
Scalable code clone detection and search based on adaptive prefix filtering. J. Syst. Softw. 137: 130-142 (2018) - Huan Feng, David M. Eyers, Steven Mills, Yongwei Wu, Zhiyi Huang:
Principal Component Analysis Based Filtering for Scalable, High Precision k-NN Search. IEEE Trans. Computers 67(2): 252-267 (2018) - Swapnil D. Dabhade, G. N. Rathna, Kunal Narayan Chaudhury:
A Reconfigurable and Scalable FPGA Architecture for Bilateral Filtering. IEEE Trans. Ind. Electron. 65(2): 1459-1469 (2018)
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