Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science
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(FIVE YEARS 63)

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(FIVE YEARS 2)

Published By Springer International Publishing

9783030304867, 9783030304874

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Squeezed Very Deep Convolutional Neural Networks for Text Classification

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_16 ◽

2019 ◽

pp. 193-207 ◽

Cited By ~ 3

Author(s):

Andréa B. Duque ◽

Luã Lázaro J. Santos ◽

David Macêdo ◽

Cleber Zanchettin

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Text Classification ◽

Deep Convolutional Neural Networks

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An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_55 ◽

2019 ◽

pp. 718-723

Author(s):

Yuki Tamura ◽

Satoshi Moriya ◽

Tatsuki Kato ◽

Masao Sakuraba ◽

Yoshihiko Horio ◽

...

Keyword(s):

Low Voltage ◽

Model Neuron ◽

Low Voltage Operation ◽

Izhikevich Model

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Training Delays in Spiking Neural Networks

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_54 ◽

2019 ◽

pp. 713-717

Author(s):

Laura State ◽

Pau Vilimelis Aceituno

Keyword(s):

Neural Networks ◽

Spiking Neural Networks

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Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_49 ◽

2019 ◽

pp. 639-653

Author(s):

Martin V. Butz ◽

Tobias Menge ◽

Dania Humaidan ◽

Sebastian Otte

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FMNet: Multi-agent Cooperation by Communicating with Featured Message Network

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_48 ◽

2019 ◽

pp. 624-635

Author(s):

Jiheng Jiang ◽

Shuangjiu Xiao ◽

Linling Xun

Keyword(s):

Multi Agent ◽

Agent Cooperation

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Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_42 ◽

2019 ◽

pp. 541-554

Author(s):

Yuki Miyashita ◽

Toshiharu Sugawara

Keyword(s):

Q Learning ◽

Multi Agent

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A Multi-armed Bandit Algorithm Available in Stationary or Non-stationary Environments Using Self-organizing Maps

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_41 ◽

2019 ◽

pp. 529-540

Author(s):

Nobuhito Manome ◽

Shuji Shinohara ◽

Kouta Suzuki ◽

Kosuke Tomonaga ◽

Shunji Mitsuyoshi

Keyword(s):

Self Organizing Maps ◽

Self Organizing

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Linear Memory Networks

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_40 ◽

2019 ◽

pp. 513-525

Author(s):

Davide Bacciu ◽

Antonio Carta ◽

Alessandro Sperduti

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Hilbert Vector Convolutional Neural Network: 2D Neural Network on 1D Data

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_36 ◽

2019 ◽

pp. 458-470

Author(s):

Nasrulloh R. B. S. Loka ◽

Muthusubash Kavitha ◽

Takio Kurita

Keyword(s):

Neural Network ◽

Convolutional Neural Network

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Probabilistic Bounds for Approximation by Neural Networks

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_33 ◽

2019 ◽

pp. 418-428

Author(s):

Věra Kůrková

Keyword(s):

Neural Networks

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Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Squeezed Very Deep Convolutional Neural Networks for Text Classification

An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation

Training Delays in Spiking Neural Networks

Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE

FMNet: Multi-agent Cooperation by Communicating with Featured Message Network

Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions

A Multi-armed Bandit Algorithm Available in Stationary or Non-stationary Environments Using Self-organizing Maps

Linear Memory Networks

Hilbert Vector Convolutional Neural Network: 2D Neural Network on 1D Data

Probabilistic Bounds for Approximation by Neural Networks

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science
Latest Publications