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

TOTAL DOCUMENTS

(FIVE YEARS 41)

H-INDEX

(FIVE YEARS 1)

Published By Springer International Publishing

9783030676698, 9783030676704

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Improved Identification of Imbalanced Multiple Annotation Intent Labels with a Hybrid BLSTM and CNN Model and Hybrid Loss Function

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

10.1007/978-3-030-67670-4_22 ◽

2021 ◽

pp. 355-368

Author(s):

Supawit Vatathanavaro ◽

Kitsuchart Pasupa ◽

Sorratat Sirirattanajakarin ◽

Boontawee Suntisrivaraporn

Keyword(s):

Loss Function

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PS3: Partition-Based Skew-Specialized Sampling for Batch Mode Active Learning in Imbalanced Text Data

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

10.1007/978-3-030-67670-4_5 ◽

2021 ◽

pp. 68-84

Author(s):

Ricky Maulana Fajri ◽

Samaneh Khoshrou ◽

Robert Peharz ◽

Mykola Pechenizkiy

Keyword(s):

Active Learning ◽

Batch Mode ◽

Text Data

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Explaining End-to-End ECG Automated Diagnosis Using Contextual Features

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

10.1007/978-3-030-67670-4_13 ◽

2021 ◽

pp. 204-219

Author(s):

Derick M. Oliveira ◽

Antônio H. Ribeiro ◽

João A. O. Pedrosa ◽

Gabriela M. M. Paixão ◽

Antonio Luiz P. Ribeiro ◽

...

Keyword(s):

Automated Diagnosis ◽

Contextual Features ◽

End To End

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Reconstructing the Past: Applying Deep Learning to Reconstruct Pottery from Thousands Shards

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

10.1007/978-3-030-67670-4_3 ◽

2021 ◽

pp. 36-51

Author(s):

Keeyoung Kim ◽

JinSeok Hong ◽

Sang-Hoon Rhee ◽

Simon S. Woo

Keyword(s):

Deep Learning ◽

The Past

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A Deep Reinforcement Learning Framework for Optimal Trade Execution

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

10.1007/978-3-030-67670-4_14 ◽

2021 ◽

pp. 223-240

Author(s):

Siyu Lin ◽

Peter A. Beling

Keyword(s):

Reinforcement Learning ◽

Learning Framework ◽

Optimal Trade Execution

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Stop the Clock: Are Timeout Effects Real?

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

10.1007/978-3-030-67670-4_31 ◽

2021 ◽

pp. 507-523

Author(s):

Niander Assis ◽

Renato Assunção ◽

Pedro O. S. Vaz-de-Melo

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Model Bridging: Connection Between Simulation Model and Neural Network

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

10.1007/978-3-030-67670-4_24 ◽

2021 ◽

pp. 389-405

Author(s):

Keiichi Kisamori ◽

Keisuke Yamazaki ◽

Yuto Komori ◽

Hiroshi Tokieda

Keyword(s):

Neural Network ◽

Simulation Model

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Deep Reinforcement Learning (DRL) for Portfolio Allocation

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

10.1007/978-3-030-67670-4_32 ◽

2021 ◽

pp. 527-531

Author(s):

Eric Benhamou ◽

David Saltiel ◽

Jean Jacques Ohana ◽

Jamal Atif ◽

Rida Laraki

Keyword(s):

Reinforcement Learning ◽

Portfolio Allocation

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Deep Reinforcement Learning for Large-Scale Epidemic Control

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

10.1007/978-3-030-67670-4_10 ◽

2021 ◽

pp. 155-170 ◽

Cited By ~ 3

Author(s):

Pieter J. K. Libin ◽

Arno Moonens ◽

Timothy Verstraeten ◽

Fabian Perez-Sanjines ◽

Niel Hens ◽

...

Keyword(s):

Reinforcement Learning ◽

Large Scale ◽

Epidemic Control

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Filling Gaps in Micro-meteorological Data

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

10.1007/978-3-030-67670-4_7 ◽

2021 ◽

pp. 101-117

Author(s):

Antoine Richard ◽

Lior Fine ◽

Offer Rozenstein ◽

Josef Tanny ◽

Matthieu Geist ◽

...

Keyword(s):

Meteorological Data

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Improved Identification of Imbalanced Multiple Annotation Intent Labels with a Hybrid BLSTM and CNN Model and Hybrid Loss Function

PS3: Partition-Based Skew-Specialized Sampling for Batch Mode Active Learning in Imbalanced Text Data

Explaining End-to-End ECG Automated Diagnosis Using Contextual Features

Reconstructing the Past: Applying Deep Learning to Reconstruct Pottery from Thousands Shards

A Deep Reinforcement Learning Framework for Optimal Trade Execution

Stop the Clock: Are Timeout Effects Real?

Model Bridging: Connection Between Simulation Model and Neural Network

Deep Reinforcement Learning (DRL) for Portfolio Allocation

Deep Reinforcement Learning for Large-Scale Epidemic Control

Filling Gaps in Micro-meteorological Data

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