Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - Lecture Notes in Computer Science
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(FIVE YEARS 34)

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Published By Springer International Publishing

9783030676667, 9783030676674

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Estimating Precisions for Multiple Binary Classifiers Under Limited Samples

Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67667-4_15 ◽

2021 ◽

pp. 240-256

Author(s):

Rahul Tripathi ◽

Srinivasan Jagannathan ◽

Balaji Dhamodharaswamy

Keyword(s):

Binary Classifiers

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Prediction of Global Navigation Satellite System Positioning Errors with Guarantees

Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67667-4_34 ◽

2021 ◽

pp. 562-578

Author(s):

Alejandro Kuratomi ◽

Tony Lindgren ◽

Panagiotis Papapetrou

Keyword(s):

Global Navigation Satellite System ◽

Satellite System ◽

Navigation Satellite ◽

Positioning Errors ◽

Global Navigation ◽

Global Navigation Satellite

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Social Influence Attentive Neural Network for Friend-Enhanced Recommendation

Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67667-4_1 ◽

2021 ◽

pp. 3-18

Author(s):

Yuanfu Lu ◽

Ruobing Xie ◽

Chuan Shi ◽

Yuan Fang ◽

Wei Wang ◽

...

Keyword(s):

Neural Network ◽

Social Influence

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Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors

Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67667-4_27 ◽

2021 ◽

pp. 444-460

Author(s):

Laure Crochepierre ◽

Lydia Boudjeloud-Assala ◽

Vincent Barbesant

Keyword(s):

Feature Extraction ◽

Electrical Network ◽

Consistent Feature

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Autonomous Driving Validation with Model-Based Dictionary Clustering

Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67667-4_20 ◽

2021 ◽

pp. 323-338

Author(s):

Etienne Goffinet ◽

Mustapha Lebbah ◽

Hanane Azzag ◽

Loic Giraldi

Keyword(s):

Autonomous Driving ◽

Model Based

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Learning a Contextual and Topological Representation of Areas-of-Interest for On-Demand Delivery Application

Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67667-4_4 ◽

2021 ◽

pp. 52-68

Author(s):

Mingxuan Yue ◽

Tianshu Sun ◽

Fan Wu ◽

Lixia Wu ◽

Yinghui Xu ◽

...

Keyword(s):

Topological Representation ◽

On Demand ◽

Areas Of Interest

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On-Site Gamma-Hadron Separation with Deep Learning on FPGAs

Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67667-4_29 ◽

2021 ◽

pp. 478-493

Author(s):

Sebastian Buschjäger ◽

Lukas Pfahler ◽

Jens Buss ◽

Katharina Morik ◽

Wolfgang Rhode

Keyword(s):

Deep Learning

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Learning from Crowds via Joint Probabilistic Matrix Factorization and Clustering in Latent Space

Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67667-4_33 ◽

2021 ◽

pp. 546-561

Author(s):

Wuguannan Yao ◽

Wonjung Lee ◽

Junhui Wang

Keyword(s):

Matrix Factorization ◽

Latent Space ◽

Probabilistic Matrix Factorization

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Learning I/O Access Patterns to Improve Prefetching in SSDs

Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67667-4_26 ◽

2021 ◽

pp. 427-443

Author(s):

Chandranil Chakraborttii ◽

Heiner Litz

Keyword(s):

Access Patterns

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RADAR: Recurrent Autoencoder Based Detector for Adversarial Examples on Temporal EHR

Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67667-4_7 ◽

2021 ◽

pp. 105-121

Author(s):

Wenjie Wang ◽

Pengfei Tang ◽

Li Xiong ◽

Xiaoqian Jiang

Keyword(s):

Adversarial Examples

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Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Estimating Precisions for Multiple Binary Classifiers Under Limited Samples

Prediction of Global Navigation Satellite System Positioning Errors with Guarantees

Social Influence Attentive Neural Network for Friend-Enhanced Recommendation

Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors

Autonomous Driving Validation with Model-Based Dictionary Clustering

Learning a Contextual and Topological Representation of Areas-of-Interest for On-Demand Delivery Application

On-Site Gamma-Hadron Separation with Deep Learning on FPGAs

Learning from Crowds via Joint Probabilistic Matrix Factorization and Clustering in Latent Space

Learning I/O Access Patterns to Improve Prefetching in SSDs

RADAR: Recurrent Autoencoder Based Detector for Adversarial Examples on Temporal EHR

Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - Lecture Notes in Computer Science
Latest Publications