Lecture Notes in Computer Science - Machine Learning and Knowledge Extraction
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(FIVE YEARS 30)

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Published By Springer International Publishing

9783030573201, 9783030573218

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Scenario-Based Requirements Elicitation for User-Centric Explainable AI

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

10.1007/978-3-030-57321-8_18 ◽

2020 ◽

pp. 321-341

Author(s):

Douglas Cirqueira ◽

Dietmar Nedbal ◽

Markus Helfert ◽

Marija Bezbradica

Keyword(s):

Requirements Elicitation ◽

Explainable Ai ◽

User Centric

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A Clustering Backed Deep Learning Approach for Document Layout Analysis

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

10.1007/978-3-030-57321-8_23 ◽

2020 ◽

pp. 423-430

Author(s):

Rhys Agombar ◽

Max Luebbering ◽

Rafet Sifa

Keyword(s):

Deep Learning ◽

Learning Approach ◽

Layout Analysis ◽

Document Layout Analysis ◽

Document Layout

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Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM

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

10.1007/978-3-030-57321-8_22 ◽

2020 ◽

pp. 401-422

Author(s):

Lars Hillebrand ◽

David Biesner ◽

Christian Bauckhage ◽

Rafet Sifa

Keyword(s):

Word Embedding ◽

Topic Extraction

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On-the-fly Black-Box Probably Approximately Correct Checking of Recurrent Neural Networks

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

10.1007/978-3-030-57321-8_19 ◽

2020 ◽

pp. 343-363

Author(s):

Franz Mayr ◽

Ramiro Visca ◽

Sergio Yovine

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Black Box ◽

Probably Approximately Correct

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Subverting Network Intrusion Detection: Crafting Adversarial Examples Accounting for Domain-Specific Constraints

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

10.1007/978-3-030-57321-8_17 ◽

2020 ◽

pp. 301-320

Author(s):

Martin Teuffenbach ◽

Ewa Piatkowska ◽

Paul Smith

Keyword(s):

Intrusion Detection ◽

Network Intrusion Detection ◽

Domain Specific ◽

Network Intrusion ◽

Adversarial Examples

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A Projected Stochastic Gradient Algorithm for Estimating Shapley Value Applied in Attribute Importance

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

10.1007/978-3-030-57321-8_6 ◽

2020 ◽

pp. 97-115

Author(s):

Grah Simon ◽

Thouvenot Vincent

Keyword(s):

Shapley Value ◽

Stochastic Gradient ◽

Gradient Algorithm ◽

Attribute Importance ◽

Stochastic Gradient Algorithm

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Applying AI in Practice: Key Challenges and Lessons Learned

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

10.1007/978-3-030-57321-8_25 ◽

2020 ◽

pp. 451-471

Author(s):

Lukas Fischer ◽

Lisa Ehrlinger ◽

Verena Geist ◽

Rudolf Ramler ◽

Florian Sobieczky ◽

...

Keyword(s):

Lessons Learned

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A Study on the Fusion of Pixels and Patient Metadata in CNN-Based Classification of Skin Lesion Images

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

10.1007/978-3-030-57321-8_11 ◽

2020 ◽

pp. 191-208

Author(s):

Fabrizio Nunnari ◽

Chirag Bhuvaneshwara ◽

Abraham Obinwanne Ezema ◽

Daniel Sonntag

Keyword(s):

Skin Lesion

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Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case

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

10.1007/978-3-030-57321-8_8 ◽

2020 ◽

pp. 139-158

Author(s):

Lukas Felsberger ◽

Andrea Apollonio ◽

Thomas Cartier-Michaud ◽

Andreas Müller ◽

Benjamin Todd ◽

...

Keyword(s):

Deep Learning ◽

Complex Systems ◽

Particle Accelerator ◽

Use Case ◽

Fault Prognostics

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Improving Short Text Classification Through Global Augmentation Methods

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

10.1007/978-3-030-57321-8_21 ◽

2020 ◽

pp. 385-399

Author(s):

Vukosi Marivate ◽

Tshephisho Sefara

Keyword(s):

Text Classification ◽

Short Text

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Lecture Notes in Computer Science - Machine Learning and Knowledge ExtractionLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Scenario-Based Requirements Elicitation for User-Centric Explainable AI

A Clustering Backed Deep Learning Approach for Document Layout Analysis

Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM

On-the-fly Black-Box Probably Approximately Correct Checking of Recurrent Neural Networks

Subverting Network Intrusion Detection: Crafting Adversarial Examples Accounting for Domain-Specific Constraints

A Projected Stochastic Gradient Algorithm for Estimating Shapley Value Applied in Attribute Importance

Applying AI in Practice: Key Challenges and Lessons Learned

A Study on the Fusion of Pixels and Patient Metadata in CNN-Based Classification of Skin Lesion Images

Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case

Improving Short Text Classification Through Global Augmentation Methods

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