A Machine Learning Approach to Weighting Schemes in the Data Fusion of Similarity Coefficients

Jenny Chen; John Holliday; John Bradshaw

doi:10.1021/ci800292d

A Machine Learning Approach to Weighting Schemes in the Data Fusion of Similarity Coefficients

Journal of Chemical Information and Modeling ◽

10.1021/ci800292d ◽

2009 ◽

Vol 49 (2) ◽

pp. 185-194 ◽

Cited By ~ 11

Author(s):

Jenny Chen ◽

John Holliday ◽

John Bradshaw

Keyword(s):

Machine Learning ◽

Data Fusion ◽

Learning Approach ◽

Similarity Coefficients ◽

Weighting Schemes ◽

Machine Learning Approach

Corrections to “A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data”

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2020.2968779 ◽

2020 ◽

Vol 13 ◽

pp. 566-566

Author(s):

Maryam Pourshamsi ◽

Mariano Garcia ◽

Marco Lavalle ◽

Heiko Balzter

Keyword(s):

Machine Learning ◽

Data Fusion ◽

Tropical Forest ◽

Forest Canopy ◽

Canopy Height ◽

Lidar Data ◽

Learning Approach ◽

Height Estimation ◽

Machine Learning Approach ◽

Tropical Forest Canopy

Genetic machine learning approach for data fusion applications in dense Wireless Sensor Networks

2008 IEEE International Conference on Emerging Technologies and Factory Automation ◽

10.1109/etfa.2008.4638549 ◽

2008 ◽

Cited By ~ 1

Author(s):

A. R. Pinto ◽

Benedito Bitencort ◽

M. A. R. Dantas ◽

Carlos B. Montez ◽

Francisco Vasques

Keyword(s):

Machine Learning ◽

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Fusion ◽

Wireless Sensor ◽

Learning Approach ◽

Machine Learning Approach ◽

Fusion Applications

A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2018.2868119 ◽

2018 ◽

Vol 11 (10) ◽

pp. 3453-3463 ◽

Cited By ~ 7

Author(s):

Maryam Pourshamsi ◽

Mariano Garcia ◽

Marco Lavalle ◽

Heiko Balzter

Keyword(s):

Machine Learning ◽

Data Fusion ◽

Tropical Forest ◽

Forest Canopy ◽

Canopy Height ◽

Lidar Data ◽

Learning Approach ◽

Height Estimation ◽

Machine Learning Approach ◽

Tropical Forest Canopy

Application of Inertial Measurement Units for Advanced Safety Surveillance System Using Individualized Sensor Technology (ASSIST): A Data Fusion and Machine Learning Approach

2018 IEEE International Conference on Healthcare Informatics (ICHI) ◽

10.1109/ichi.2018.00097 ◽

2018 ◽

Author(s):

Amir Baghdadi

Keyword(s):

Machine Learning ◽

Data Fusion ◽

Surveillance System ◽

Sensor Technology ◽

Learning Approach ◽

Inertial Measurement Units ◽

Inertial Measurement ◽

Safety Surveillance ◽

Machine Learning Approach ◽

Measurement Units

Improving Data Quality of Low-cost IoT Sensors in Environmental Monitoring Networks Using Data Fusion and Machine Learning Approach

ICT Express ◽

10.1016/j.icte.2020.06.004 ◽

2020 ◽

Vol 6 (3) ◽

pp. 220-228 ◽

Cited By ~ 1

Author(s):

Nwamaka U. Okafor ◽

Yahia Alghorani ◽

Declan T. Delaney

Keyword(s):

Machine Learning ◽

Data Fusion ◽

Environmental Monitoring ◽

Data Quality ◽

Low Cost ◽

Learning Approach ◽

Monitoring Networks ◽

Machine Learning Approach ◽

Using Data

Constructing and Validating Geographically Refined HAZUS-MH4 Hurricane Wind Risk Models: A Machine Learning Approach

Advances in Hurricane Engineering ◽

10.1061/9780784412626.092 ◽

2012 ◽

Cited By ~ 2

Author(s):

D. Subramanian ◽

J. Salazar ◽

L. Duenas-Osorio ◽

R. Stein

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Risk Models ◽

Hurricane Wind ◽

Machine Learning Approach

The impact of economic plans on the Chinese education system: a machine learning approach

CADMO ◽

10.3280/cad2018-001005 ◽

2018 ◽

pp. 37-49

Author(s):

Wenjun Lin ◽

Xuefu Xu ◽

Francesco Dell’Anna

Keyword(s):

Machine Learning ◽

Education System ◽

Learning Approach ◽

Chinese Education ◽

System A ◽

Machine Learning Approach ◽

The Impact

Improving Bandwidth Utilization and Fairness between TCP Flows based on a Machine-learning Approach

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.133.1259 ◽

2013 ◽

Vol 133 (6) ◽

pp. 1259-1268

Author(s):

Akihiro Shiozu ◽

Syunji Yazaki ◽

K^|^ocirc;ki Abe

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Bandwidth Utilization ◽

Machine Learning Approach

A Machine Learning Approach to Anaphora Resolution in Arabic

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v9i12.4786 ◽

2014 ◽

Vol 9 (12) ◽

pp. 1956

Author(s):

Abdullatif Abolohom ◽

Nazlia Omar

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Anaphora Resolution ◽

Machine Learning Approach

1552-P: Machine Learning Approach to Decision-Making for Initial Insulin Use in Japanese Patients with Type 2 Diabetes

Diabetes ◽

10.2337/db20-1552-p ◽

2020 ◽

Vol 69 (Supplement 1) ◽

pp. 1552-P

Author(s):

KAZUYA FUJIHARA ◽

MAYUKO H. YAMADA ◽

YASUHIRO MATSUBAYASHI ◽

MASAHIKO YAMAMOTO ◽

TOSHIHIRO IIZUKA ◽

...

Keyword(s):

Machine Learning ◽

Type 2 Diabetes ◽

Decision Making ◽

Japanese Patients ◽

Learning Approach ◽

Machine Learning Approach ◽

Insulin Use