Towards Integrative Machine Learning and Knowledge Extraction - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319697741, 9783319697758

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Comparison of Public-Domain Software and Services For Probabilistic Record Linkage and Address Standardization

Towards Integrative Machine Learning and Knowledge Extraction - Lecture Notes in Computer Science ◽

10.1007/978-3-319-69775-8_3 ◽

2017 ◽

pp. 51-66

Author(s):

Sou-Cheng T. Choi ◽

Yongheng Lin ◽

Edward Mulrow

Keyword(s):

Record Linkage ◽

Public Domain ◽

Probabilistic Record Linkage ◽

Public Domain Software

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Probabilistic Logic Programming in Action

Towards Integrative Machine Learning and Knowledge Extraction - Lecture Notes in Computer Science ◽

10.1007/978-3-319-69775-8_5 ◽

2017 ◽

pp. 89-116 ◽

Cited By ~ 5

Author(s):

Arnaud Nguembang Fadja ◽

Fabrizio Riguzzi

Keyword(s):

Logic Programming ◽

Probabilistic Logic ◽

Probabilistic Logic Programming

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A Brief Philosophical Note on Information

Towards Integrative Machine Learning and Knowledge Extraction - Lecture Notes in Computer Science ◽

10.1007/978-3-319-69775-8_8 ◽

2017 ◽

pp. 146-149

Author(s):

Vincenzo Manca

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Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline

Towards Integrative Machine Learning and Knowledge Extraction - Lecture Notes in Computer Science ◽

10.1007/978-3-319-69775-8_9 ◽

2017 ◽

pp. 150-169 ◽

Cited By ~ 4

Author(s):

Keith Feldman ◽

Louis Faust ◽

Xian Wu ◽

Chao Huang ◽

Nitesh V. Chawla

Keyword(s):

Machine Learning ◽

Healthcare Data ◽

The Impact

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A Fast Semi-Automatic Segmentation Tool for Processing Brain Tumor Images

Towards Integrative Machine Learning and Knowledge Extraction - Lecture Notes in Computer Science ◽

10.1007/978-3-319-69775-8_10 ◽

2017 ◽

pp. 170-181 ◽

Cited By ~ 1

Author(s):

Andrew X. Chen ◽

Raúl Rabadán

Keyword(s):

Brain Tumor ◽

Automatic Segmentation

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Machine Learning and Knowledge Extraction in Digital Pathology Needs an Integrative Approach

Towards Integrative Machine Learning and Knowledge Extraction - Lecture Notes in Computer Science ◽

10.1007/978-3-319-69775-8_2 ◽

2017 ◽

pp. 13-50 ◽

Cited By ~ 10

Author(s):

Andreas Holzinger ◽

Bernd Malle ◽

Peter Kieseberg ◽

Peter M. Roth ◽

Heimo Müller ◽

...

Keyword(s):

Machine Learning ◽

Digital Pathology ◽

Knowledge Extraction ◽

Integrative Approach

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Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment

Towards Integrative Machine Learning and Knowledge Extraction - Lecture Notes in Computer Science ◽

10.1007/978-3-319-69775-8_12 ◽

2017 ◽

pp. 194-205 ◽

Cited By ~ 13

Author(s):

Deepika Singh ◽

Erinc Merdivan ◽

Sten Hanke ◽

Johannes Kropf ◽

Matthieu Geist ◽

...

Keyword(s):

Neural Networks ◽

Activity Recognition ◽

Recurrent Neural Networks ◽

Smart Environment

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Persistent Topology for Natural Data Analysis — A Survey

Towards Integrative Machine Learning and Knowledge Extraction - Lecture Notes in Computer Science ◽

10.1007/978-3-319-69775-8_6 ◽

2017 ◽

pp. 117-133 ◽

Cited By ~ 7

Author(s):

Massimo Ferri

Keyword(s):

Data Analysis ◽

Persistent Topology ◽

Natural Data

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Topological Characteristics of Oil and Gas Reservoirs and Their Applications

Towards Integrative Machine Learning and Knowledge Extraction - Lecture Notes in Computer Science ◽

10.1007/978-3-319-69775-8_11 ◽

2017 ◽

pp. 182-193 ◽

Cited By ~ 3

Author(s):

V. A. Baikov ◽

R. R. Gilmanov ◽

I. A. Taimanov ◽

A. A. Yakovlev

Keyword(s):

Oil And Gas ◽

Gas Reservoirs ◽

Oil And Gas Reservoirs ◽

Topological Characteristics

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Predictive Models for Differentiation Between Normal and Abnormal EEG Through Cross-Correlation and Machine Learning Techniques

Towards Integrative Machine Learning and Knowledge Extraction - Lecture Notes in Computer Science ◽

10.1007/978-3-319-69775-8_7 ◽

2017 ◽

pp. 134-145

Author(s):

Jefferson Tales Oliva ◽

João Luís Garcia Rosa

Keyword(s):

Machine Learning ◽

Predictive Models ◽

Cross Correlation ◽

Machine Learning Techniques ◽

Learning Techniques

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Towards Integrative Machine Learning and Knowledge Extraction - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Comparison of Public-Domain Software and Services For Probabilistic Record Linkage and Address Standardization

Probabilistic Logic Programming in Action

A Brief Philosophical Note on Information

Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline

A Fast Semi-Automatic Segmentation Tool for Processing Brain Tumor Images

Machine Learning and Knowledge Extraction in Digital Pathology Needs an Integrative Approach

Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment

Persistent Topology for Natural Data Analysis — A Survey

Topological Characteristics of Oil and Gas Reservoirs and Their Applications

Predictive Models for Differentiation Between Normal and Abnormal EEG Through Cross-Correlation and Machine Learning Techniques

Towards Integrative Machine Learning and Knowledge Extraction - Lecture Notes in Computer Science
Latest Publications