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Data Mining and Knowledge Discovery
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December 23, 2016
Visual Semantic Based 3D Video Retrieval System Using HDFS
C Ranjith Kumar, S Suguna
Data Mining and Knowledge Discovery
|
October 1, 2009
A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets
Greg Ridgeway, David Madigan
Data Mining and Knowledge Discovery
|
May 31, 2021
Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches
Lu Wang, Dongxiao Zhu
Data Mining and Knowledge Discovery
|
October 10, 2022
POI recommendation with queuing time and user interest awareness
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, et al.
Data Mining and Knowledge Discovery
|
February 7, 2022
Counterfactual inference with latent variable and its application in mental health care
Guilherme F Marchezini, Anisio M Lacerda, Gisele L Pappa, et al.
Data Mining and Knowledge Discovery
|
February 7, 2022
Strengthening ties towards a highly-connected world
Antonis Matakos, Aristides Gionis
Data Mining and Knowledge Discovery
|
November 1, 2021
Extending greedy feature selection algorithms to multiple solutions
Giorgos Borboudakis, Ioannis Tsamardinos
Data Mining and Knowledge Discovery
|
July 2, 2019
Data-driven generation of spatio-temporal routines in human mobility
Luca Pappalardo, Filippo Simini
Data Mining and Knowledge Discovery
|
September 29, 2021
A Survey of Deep Network Techniques All Classifiers Can Adopt
Alireza Ghods, Diane J Cook
Data Mining and Knowledge Discovery
|
April 10, 2023
AA-forecast: anomaly-aware forecast for extreme events
Ashkan Farhangi, Jiang Bian, Arthur Huang, et al.
Page
of 5
Search research articles
Search
Showing results (31-40 of 44) with videos related to
Sort By:
Page
of 5
Data Mining and Knowledge Discovery
|
December 23, 2016
Visual Semantic Based 3D Video Retrieval System Using HDFS
C Ranjith Kumar, S Suguna
Data Mining and Knowledge Discovery
|
October 1, 2009
A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets
Greg Ridgeway, David Madigan
Data Mining and Knowledge Discovery
|
May 31, 2021
Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches
Lu Wang, Dongxiao Zhu
Data Mining and Knowledge Discovery
|
October 10, 2022
POI recommendation with queuing time and user interest awareness
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, et al.
Data Mining and Knowledge Discovery
|
February 7, 2022
Counterfactual inference with latent variable and its application in mental health care
Guilherme F Marchezini, Anisio M Lacerda, Gisele L Pappa, et al.
Data Mining and Knowledge Discovery
|
February 7, 2022
Strengthening ties towards a highly-connected world
Antonis Matakos, Aristides Gionis
Data Mining and Knowledge Discovery
|
November 1, 2021
Extending greedy feature selection algorithms to multiple solutions
Giorgos Borboudakis, Ioannis Tsamardinos
Data Mining and Knowledge Discovery
|
July 2, 2019
Data-driven generation of spatio-temporal routines in human mobility
Luca Pappalardo, Filippo Simini
Data Mining and Knowledge Discovery
|
September 29, 2021
A Survey of Deep Network Techniques All Classifiers Can Adopt
Alireza Ghods, Diane J Cook
Data Mining and Knowledge Discovery
|
April 10, 2023
AA-forecast: anomaly-aware forecast for extreme events
Ashkan Farhangi, Jiang Bian, Arthur Huang, et al.
Page
of 5