Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science
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(FIVE YEARS 79)

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(FIVE YEARS 3)

Published By Springer International Publishing

9783030304928, 9783030304935

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Improving Deep Generative Models with Randomized SMILES

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

10.1007/978-3-030-30493-5_68 ◽

2019 ◽

pp. 747-751

Author(s):

Josep Arús-Pous ◽

Simon Johansson ◽

Oleksii Prykhodko ◽

Esben Jannik Bjerrum ◽

Christian Tyrchan ◽

...

Keyword(s):

Generative Models

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Graph Classification with 2D 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_54 ◽

2019 ◽

pp. 578-593 ◽

Cited By ~ 3

Author(s):

Antoine J.-P. Tixier ◽

Giannis Nikolentzos ◽

Polykarpos Meladianos ◽

Michalis Vazirgiannis

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Graph Classification

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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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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

Improving Deep Generative Models with Randomized SMILES

Graph Classification with 2D Convolutional Neural Networks

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

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