×
验证码:
换一张
Forgotten Password?
Stay signed in
Login With UMPASS
English
|
繁體
Login With UMPASS
Log In
ALL
ORCID
TI
AU
PY
SU
KW
TY
JN
DA
IN
PB
FP
ST
SM
Study Hall
Image search
Paste the image URL
Home
Faculties & Institutes
Scholars
Publications
Subjects
Statistics
News
Search in the results
Faculties & Institutes
Faculty of Scien... [4]
THE STATE KEY LA... [2]
Faculty of Educa... [2]
INSTITUTE OF COL... [1]
Authors
YUEN KA VENG [1]
CHEN LONG [1]
CHENGZHONG XU [1]
KUOK SIN CHI [1]
JIANG CHUNLIAN [1]
OON PEY TEE [1]
More...
Document Type
Journal article [6]
Date Issued
2024 [3]
2022 [2]
2016 [1]
Language
英語English [6]
Source Publication
IEEE Transaction... [1]
IEEE Transaction... [1]
INFORMATION SCIE... [1]
International Jo... [1]
Journal of Mathe... [1]
MECHANICAL SYSTE... [1]
More...
Indexed By
SCIE [2]
SSCI [1]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-6 of 6
Help
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Submit date Ascending
Submit date Descending
Issue Date Ascending
Issue Date Descending
Author Ascending
Author Descending
Title Ascending
Title Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
WOS Cited Times Ascending
WOS Cited Times Descending
An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models
Journal article
Li, Jinbo, Liu, Peng, Chen, Long, Pedrycz, Witold, Ding, Weiping. An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models[J]. IEEE Transactions on Artificial Intelligence, 2024.
Authors:
Li, Jinbo
;
Liu, Peng
;
Chen, Long
;
Pedrycz, Witold
;
Ding, Weiping
Favorite
|
TC[Scopus]:
0
|
Submit date:2024/08/05
Fuzzy Rules-based Model
Incremental Models
Interpretability
Ensemble Learning
World Models for Autonomous Driving: An Initial Survey
Journal article
Guan, Yanchen, Liao, Haicheng, Li, Zhenning, Hu, Jia, Yuan, Runze, Li, Yunjian, Zhang, Guohui, Xu, Chengzhong. World Models for Autonomous Driving: An Initial Survey[J]. IEEE Transactions on Intelligent Vehicles, 2024.
Authors:
Guan, Yanchen
;
Liao, Haicheng
;
Li, Zhenning
;
Hu, Jia
;
Yuan, Runze
; et al.
Favorite
|
TC[Scopus]:
4
IF:
14.0
/
11.2
|
Submit date:2024/06/05
World Model
Autonomous Driving
Foundational Model
Model-based Reinforcement Learning
Advances in research on mathematical problem posing: Focus on task variables
Journal article
Cai, Jinfa, Koichu, Boris, Rott, Benjamin, Jiang, Chunlian. Advances in research on mathematical problem posing: Focus on task variables[J]. Journal of Mathematical Behavior, 2024, 101186.
Authors:
Cai, Jinfa
;
Koichu, Boris
;
Rott, Benjamin
;
Jiang, Chunlian
Favorite
|
TC[Scopus]:
0
IF:
1.0
/
1.5
|
Submit date:2024/10/10
Mathematical Problem Posing
P-pbl Instructional Model
Problem-posing Processes
Problem-posing-based Learning (P-pbl)
Task Variables
Graph-based sparse bayesian broad learning system for semi-supervised learning
Journal article
Xu, Lili, Philip Chen, C. L., Han, Ruizhi. Graph-based sparse bayesian broad learning system for semi-supervised learning[J]. INFORMATION SCIENCES, 2022, 597, 193-210.
Authors:
Xu, Lili
;
Philip Chen, C. L.
;
Han, Ruizhi
Favorite
|
TC[WOS]:
13
TC[Scopus]:
13
IF:
0
/
0
|
Submit date:2022/05/13
Classification
Fast Marginal Likelihood Maximization
Graph-based Model
Manifold Regularization
Semi-supervised Learning
Sparse Bayesian Broad Learning System
Broad learning robust semi-active structural control: A nonparametric approach
Journal article
Kuok, Sin Chi, Yuen, Ka Veng, Girolami, Mark, Roberts, Stephen. Broad learning robust semi-active structural control: A nonparametric approach[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 162, 108012.
Authors:
Kuok, Sin Chi
;
Yuen, Ka Veng
;
Girolami, Mark
;
Roberts, Stephen
Favorite
|
TC[WOS]:
7
TC[Scopus]:
7
IF:
7.9
/
8.0
|
Submit date:2022/02/21
Broad Learning Robust Controller
Model Uncertainty
Reliability-based Control
Robust Failure Probability
Semi-active Control
Understanding metallic bonding: Structure, process and interaction by Rasch analysis
Journal article
Cheng,Maurice M.W., Oon,Pey Tee. Understanding metallic bonding: Structure, process and interaction by Rasch analysis[J]. International Journal of Science Education, 2016, 38(12), 1923-1944.
Authors:
Cheng,Maurice M.W.
;
Oon,Pey Tee
Favorite
|
TC[WOS]:
9
TC[Scopus]:
9
IF:
2.2
/
3.1
|
Submit date:2020/11/06
Conceptual Change
Model-based Learning
Ontological Categories