Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science
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9783030304928, 9783030304935

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Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30493-5_57 ◽

2019 ◽

pp. 622-634 ◽

Cited By ~ 1

Author(s):

Meng Cao ◽

Xiying Ma ◽

Ming Xu ◽

Chongjun Wang

Keyword(s):

Information Network ◽

Network Embedding ◽

Heterogeneous Information Network ◽

Heterogeneous Information ◽

Attention Networks ◽

Meta Path

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Continuous Blood Pressure Estimation Through Optimized Echo State Networks

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30493-5_5 ◽

2019 ◽

pp. 48-61

Author(s):

Giuseppe Franco ◽

Luca Cerina ◽

Claudio Gallicchio ◽

Alessio Micheli ◽

Marco Domenico Santambrogio

Keyword(s):

Blood Pressure ◽

Echo State Networks ◽

Pressure Estimation ◽

Blood Pressure Estimation ◽

Continuous Blood Pressure

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Explainable Anomaly Detection via Feature-Based Localization

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30493-5_41 ◽

2019 ◽

pp. 408-419

Author(s):

Shogo Kitamura ◽

Yuichi Nonaka

Keyword(s):

Anomaly Detection ◽

Feature Based

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Exploring Local Transformation Shared Weights in Convolutional Neural Networks

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30493-5_37 ◽

2019 ◽

pp. 377-390

Author(s):

Rohan Ghosh ◽

Anupam K. Gupta

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Local Transformation

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Investigation of EEG-Based Graph-Theoretic Analysis for Automatic Diagnosis of Alcohol Use Disorder

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30493-5_23 ◽

2019 ◽

pp. 205-218

Author(s):

Wajid Mumtaz ◽

Lukáš Vařeka ◽

Roman Mouček

Keyword(s):

Alcohol Use ◽

Alcohol Use Disorder ◽

Theoretic Analysis ◽

Automatic Diagnosis ◽

Graph Theoretic

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Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30493-5_19 ◽

2019 ◽

pp. 175-179

Author(s):

Piotr Antonik ◽

Nicolas Marsal ◽

Daniel Brunner ◽

Damien Rontani

Keyword(s):

Feature Extraction ◽

Extraction Techniques ◽

Handwritten Digit Recognition ◽

Digit Recognition ◽

Handwritten Digit

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Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware Implementation

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30493-5_18 ◽

2019 ◽

pp. 170-174 ◽

Cited By ~ 1

Author(s):

Miguel C. Soriano ◽

Pau Massuti-Ballester ◽

Jesús Yelo ◽

Ingo Fischer

Keyword(s):

Hardware Implementation ◽

Reservoir Computing

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Time Series Processing with VCSEL-Based Reservoir Computer

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30493-5_17 ◽

2019 ◽

pp. 165-169

Author(s):

Jean Benoit Héroux ◽

Naoki Kanazawa ◽

Piotr Antonik

Keyword(s):

Time Series

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Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30493-5_63 ◽

2019 ◽

pp. 701-715

Author(s):

Pedro Avelar ◽

Henrique Lemos ◽

Marcelo Prates ◽

Luis Lamb

Keyword(s):

Neural Networks ◽

Multitask Learning ◽

Centrality Measures ◽

Graph Centrality ◽

Graph Neural Networks ◽

Multiple Graph

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Reservoir Topology in Deep Echo State Networks

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30493-5_6 ◽

2019 ◽

pp. 62-75

Author(s):

Claudio Gallicchio ◽

Alessio Micheli

Keyword(s):

Echo State Networks

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Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks

Continuous Blood Pressure Estimation Through Optimized Echo State Networks

Explainable Anomaly Detection via Feature-Based Localization

Exploring Local Transformation Shared Weights in Convolutional Neural Networks

Investigation of EEG-Based Graph-Theoretic Analysis for Automatic Diagnosis of Alcohol Use Disorder

Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer

Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware Implementation

Time Series Processing with VCSEL-Based Reservoir Computer

Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network

Reservoir Topology in Deep Echo State Networks

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science
Latest Publications