Human and Machine Learning - Human–Computer Interaction Series
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

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Published By Springer International Publishing

9783319904023, 9783319904030

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Water Pipe Failure Prediction: A Machine Learning Approach Enhanced By Domain Knowledge

Human and Machine Learning - Human–Computer Interaction Series ◽

10.1007/978-3-319-90403-0_18 ◽

2018 ◽

pp. 363-383 ◽

Cited By ~ 2

Author(s):

Bang Zhang ◽

Ting Guo ◽

Lelin Zhang ◽

Peng Lin ◽

Yang Wang ◽

...

Keyword(s):

Machine Learning ◽

Domain Knowledge ◽

Failure Prediction ◽

Learning Approach ◽

Water Pipe ◽

Pipe Failure ◽

Machine Learning Approach

Evaluation of Interactive Machine Learning Systems

Human and Machine Learning - Human–Computer Interaction Series ◽

10.1007/978-3-319-90403-0_17 ◽

2018 ◽

pp. 341-360 ◽

Cited By ~ 3

Author(s):

Nadia Boukhelifa ◽

Anastasia Bezerianos ◽

Evelyne Lutton

Keyword(s):

Machine Learning ◽

Learning Systems ◽

Interactive Machine Learning

User-Centred Evaluation for Machine Learning

Human and Machine Learning - Human–Computer Interaction Series ◽

10.1007/978-3-319-90403-0_16 ◽

2018 ◽

pp. 315-339 ◽

Cited By ~ 1

Author(s):

Scott Allen Cambo ◽

Darren Gergle

Keyword(s):

Machine Learning

Critical Challenges for the Visual Representation of Deep Neural Networks

Human and Machine Learning - Human–Computer Interaction Series ◽

10.1007/978-3-319-90403-0_7 ◽

2018 ◽

pp. 119-136

Author(s):

Kieran Browne ◽

Ben Swift ◽

Henry Gardner

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Visual Representation

Beyond Human-in-the-Loop: Empowering End-Users with Transparent Machine Learning

Human and Machine Learning - Human–Computer Interaction Series ◽

10.1007/978-3-319-90403-0_3 ◽

2018 ◽

pp. 37-54 ◽

Cited By ~ 1

Author(s):

Patrick C. Shih

Keyword(s):

Machine Learning ◽

End Users ◽

Human In The Loop

Do I Trust a Machine? Differences in User Trust Based on System Performance

Human and Machine Learning - Human–Computer Interaction Series ◽

10.1007/978-3-319-90403-0_12 ◽

2018 ◽

pp. 245-264 ◽

Cited By ~ 2

Author(s):

Kun Yu ◽

Shlomo Berkovsky ◽

Dan Conway ◽

Ronnie Taib ◽

Jianlong Zhou ◽

...

Keyword(s):

System Performance ◽

User Trust

Transparency in Fair Machine Learning: the Case of Explainable Recommender Systems

Human and Machine Learning - Human–Computer Interaction Series ◽

10.1007/978-3-319-90403-0_2 ◽

2018 ◽

pp. 21-35 ◽

Cited By ~ 5

Author(s):

Behnoush Abdollahi ◽

Olfa Nasraoui

Keyword(s):

Machine Learning ◽

Recommender Systems

Transparency Communication for Machine Learning in Human-Automation Interaction

Human and Machine Learning - Human–Computer Interaction Series ◽

10.1007/978-3-319-90403-0_5 ◽

2018 ◽

pp. 75-90 ◽

Cited By ~ 4

Author(s):

David V. Pynadath ◽

Michael J. Barnes ◽

Ning Wang ◽

Jessie Y. C. Chen

Keyword(s):

Machine Learning

Structural Health Monitoring Using Machine Learning Techniques and Domain Knowledge Based Features

Human and Machine Learning - Human–Computer Interaction Series ◽

10.1007/978-3-319-90403-0_20 ◽

2018 ◽

pp. 409-435 ◽

Cited By ~ 5

Author(s):

Nguyen Lu Dang Khoa ◽

Mehrisadat Makki Alamdari ◽

Thierry Rakotoarivelo ◽

Ali Anaissi ◽

Yang Wang

Keyword(s):

Machine Learning ◽

Structural Health Monitoring ◽

Health Monitoring ◽

Domain Knowledge ◽

Machine Learning Techniques ◽

Structural Health ◽

Knowledge Based ◽

Learning Techniques

Trust and Transparency in Machine Learning-Based Clinical Decision Support

Human and Machine Learning - Human–Computer Interaction Series ◽

10.1007/978-3-319-90403-0_14 ◽

2018 ◽

pp. 279-292

Author(s):

Cosima Gretton

Keyword(s):

Machine Learning ◽

Decision Support ◽

Clinical Decision Support ◽

Clinical Decision

Human and Machine Learning - Human–Computer Interaction SeriesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Water Pipe Failure Prediction: A Machine Learning Approach Enhanced By Domain Knowledge

Evaluation of Interactive Machine Learning Systems

User-Centred Evaluation for Machine Learning

Critical Challenges for the Visual Representation of Deep Neural Networks

Beyond Human-in-the-Loop: Empowering End-Users with Transparent Machine Learning

Do I Trust a Machine? Differences in User Trust Based on System Performance

Transparency in Fair Machine Learning: the Case of Explainable Recommender Systems

Transparency Communication for Machine Learning in Human-Automation Interaction

Structural Health Monitoring Using Machine Learning Techniques and Domain Knowledge Based Features

Trust and Transparency in Machine Learning-Based Clinical Decision Support

Human and Machine Learning - Human–Computer Interaction Series
Latest Publications