learning for understanding Latest Research Papers

Machine Learning for Understanding the Relationship Between Political Participation and Political Culture

10.1007/978-3-030-70296-0_23 ◽

2021 ◽

pp. 297-310

Author(s):

A. Hannibal Leach ◽

Sajid Hussain

Keyword(s):

Machine Learning ◽

Political Participation ◽

Political Culture ◽

The Relationship ◽

Learning For Understanding

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Toward Interpretable Machine Learning for Understanding Epidemic Data

2020 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata50022.2020.9377834 ◽

2020 ◽

Author(s):

Dean Frederick Hougen ◽

Jin-Song Pei ◽

Sai Teja Kanneganti

Keyword(s):

Machine Learning ◽

Interpretable Machine Learning ◽

Learning For Understanding

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Multiview learning for understanding functional multiomics

PLoS Computational Biology ◽

10.1371/journal.pcbi.1007677 ◽

2020 ◽

Vol 16 (4) ◽

pp. e1007677 ◽

Cited By ~ 14

Author(s):

Nam D. Nguyen ◽

Daifeng Wang

Keyword(s):

Multiview Learning ◽

Learning For Understanding

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An approach using ddRADseq and machine learning for understanding geographic and bathymetric patterns of speciation in Antarctic gastropods (Mollusca)

Authorea ◽

10.22541/au.158575963.31881899 ◽

2020 ◽

Author(s):

Juan Moles ◽

Shahan Derkarabetian ◽

Stefano Schiaparelli ◽

Michael Schr dl ◽

Jes s Troncoso ◽

...

Keyword(s):

Machine Learning ◽

Learning For Understanding

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Factors Influencing Computing Students’ Readiness to Online Learning for Understanding Software Engineering Foundations in Saudi Arabia

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2020.0111286 ◽

2020 ◽

Vol 11 (12) ◽

Author(s):

Abdulaziz Alhubaishy

Keyword(s):

Saudi Arabia ◽

Online Learning ◽

Software Engineering ◽

Factors Influencing ◽

Learning For Understanding

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Machine Learning for Understanding Compatibility of Organic–Inorganic Hybrid Perovskites with Post-Treatment Amines

ACS Energy Letters ◽

10.1021/acsenergylett.8b02451 ◽

2019 ◽

Vol 4 (2) ◽

pp. 397-404 ◽

Cited By ~ 16

Author(s):

Yongze Yu ◽

Xuanheng Tan ◽

Shougui Ning ◽

Yiying Wu

Keyword(s):

Machine Learning ◽

Post Treatment ◽

Inorganic Hybrid ◽

Learning For Understanding

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Deep Learning for Understanding the Human

Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18 ◽

10.1145/3170427.3170661 ◽

2018 ◽

Author(s):

Lex Fridman

Keyword(s):

Deep Learning ◽

Learning For Understanding

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Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans

IEEE Signal Processing Magazine ◽

10.1109/msp.2017.2764116 ◽

2018 ◽

Vol 35 (1) ◽

pp. 66-83 ◽

Cited By ~ 59

Author(s):

Rajeev Ranjan ◽

Swami Sankaranarayanan ◽

Ankan Bansal ◽

Navaneeth Bodla ◽

Jun-Cheng Chen ◽

...

Keyword(s):

Deep Learning ◽

Better Than ◽

Learning For Understanding

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Small Group Learning for Understanding the Specialized Language in students of occupational Health

Research and Development in Medical Education ◽

10.15171/rdme.2017.004 ◽

2017 ◽

Vol 6 (1) ◽

pp. 19-22

Author(s):

Seyedeh Negar Assadi

Keyword(s):

Occupational Health ◽

Small Group ◽

Group Learning ◽

Small Group Learning ◽

Specialized Language ◽

Learning For Understanding

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Unsupervised learning for understanding student achievement in a distance learning setting

2017 IEEE Global Engineering Education Conference (EDUCON) ◽

10.1109/educon.2017.7943026 ◽

2017 ◽

Cited By ~ 5

Author(s):

Shuangyan Liu ◽

Mathieu d'Aquin

Keyword(s):

Student Achievement ◽

Distance Learning ◽

Unsupervised Learning ◽

Learning For Understanding

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Recently Published Documents

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Machine Learning for Understanding the Relationship Between Political Participation and Political Culture

Toward Interpretable Machine Learning for Understanding Epidemic Data

Multiview learning for understanding functional multiomics

An approach using ddRADseq and machine learning for understanding geographic and bathymetric patterns of speciation in Antarctic gastropods (Mollusca)

Factors Influencing Computing Students’ Readiness to Online Learning for Understanding Software Engineering Foundations in Saudi Arabia

Machine Learning for Understanding Compatibility of Organic–Inorganic Hybrid Perovskites with Post-Treatment Amines

Deep Learning for Understanding the Human

Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans

Small Group Learning for Understanding the Specialized Language in students of occupational Health

Unsupervised learning for understanding student achievement in a distance learning setting

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learning for understandingRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Machine Learning for Understanding the Relationship Between Political Participation and Political Culture

Toward Interpretable Machine Learning for Understanding Epidemic Data

Multiview learning for understanding functional multiomics

An approach using ddRADseq and machine learning for understanding geographic and bathymetric patterns of speciation in Antarctic gastropods (Mollusca)

Factors Influencing Computing Students’ Readiness to Online Learning for Understanding Software Engineering Foundations in Saudi Arabia

Machine Learning for Understanding Compatibility of Organic–Inorganic Hybrid Perovskites with Post-Treatment Amines

Deep Learning for Understanding the Human

Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans

Small Group Learning for Understanding the Specialized Language in students of occupational Health

Unsupervised learning for understanding student achievement in a distance learning setting

learning for understanding
Recently Published Documents