Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series - Lecture Notes in Computer Science
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(FIVE YEARS 59)

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(FIVE YEARS 3)

Published By Springer International Publishing

9783030304898, 9783030304904

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Combining Deep Learning and (Structural) Feature-Based Classification Methods for Copyright-Protected PDF Documents

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30490-4_7 ◽

2019 ◽

pp. 69-75

Author(s):

Renato Garita Figueiredo ◽

Kai-Uwe Kühnberger ◽

Gordon Pipa ◽

Tobias Thelen

Keyword(s):

Deep Learning ◽

Structural Feature ◽

Classification Methods ◽

Feature Based ◽

Feature Based Classification

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Convolutional Recurrent Neural Networks for Computer Network Analysis

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30490-4_59 ◽

2019 ◽

pp. 747-757 ◽

Cited By ~ 1

Author(s):

Jakub Nowak ◽

Marcin Korytkowski ◽

Rafał Scherer

Keyword(s):

Neural Networks ◽

Network Analysis ◽

Recurrent Neural Networks ◽

Computer Network

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Intrusion Detection via Wide and Deep Model

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30490-4_57 ◽

2019 ◽

pp. 717-730

Author(s):

Zhipeng Li ◽

Zheng Qin ◽

Pengbo Shen

Keyword(s):

Intrusion Detection ◽

Deep Model

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Robust Gait Authentication Using Autoencoder and Decision Tree

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30490-4_55 ◽

2019 ◽

pp. 698-702

Author(s):

Mitsuhiro Ogihara ◽

Hideyuki Mizuno

Keyword(s):

Decision Tree

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Cosine Similarity Drift Detector

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30490-4_53 ◽

2019 ◽

pp. 669-685 ◽

Cited By ~ 1

Author(s):

Juan Isidro González Hidalgo ◽

Laura Maria Palomino Mariño ◽

Roberto Souto Maior de Barros

Keyword(s):

Cosine Similarity

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Collaborative Non-negative Matrix Factorization

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30490-4_52 ◽

2019 ◽

pp. 655-666

Author(s):

Kaoutar Benlamine ◽

Nistor Grozavu ◽

Younès Bennani ◽

Basarab Matei

Keyword(s):

Matrix Factorization ◽

Non Negative Matrix Factorization

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Dimensionality Reduction for Clustering and Cluster Tracking of Cytometry Data

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30490-4_50 ◽

2019 ◽

pp. 624-640

Author(s):

Givanna H. Putri ◽

Mark N. Read ◽

Irena Koprinska ◽

Thomas M. Ashhurst ◽

Nicholas J. C. King

Keyword(s):

Dimensionality Reduction ◽

Cluster Tracking

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Merging DBSCAN and Density Peak for Robust Clustering

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30490-4_48 ◽

2019 ◽

pp. 595-610

Author(s):

Jian Hou ◽

Chengcong Lv ◽

Aihua Zhang ◽

Xu E

Keyword(s):

Density Peak ◽

Robust Clustering

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Region Prediction from Hungarian Folk Music Using Convolutional Neural Networks

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30490-4_47 ◽

2019 ◽

pp. 581-594

Author(s):

Anna Kiss ◽

Csaba Sulyok ◽

Zalán Bodó

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Folk Music ◽

Hungarian Folk Music

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Quality-Diversity Summarization with Unsupervised Autoencoders

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30490-4_24 ◽

2019 ◽

pp. 293-299

Author(s):

Lei Li ◽

Zuying Huang ◽

Natalia Vanetik ◽

Marina Litvak

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Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Combining Deep Learning and (Structural) Feature-Based Classification Methods for Copyright-Protected PDF Documents

Convolutional Recurrent Neural Networks for Computer Network Analysis

Intrusion Detection via Wide and Deep Model

Robust Gait Authentication Using Autoencoder and Decision Tree

Cosine Similarity Drift Detector

Collaborative Non-negative Matrix Factorization

Dimensionality Reduction for Clustering and Cluster Tracking of Cytometry Data

Merging DBSCAN and Density Peak for Robust Clustering

Region Prediction from Hungarian Folk Music Using Convolutional Neural Networks

Quality-Diversity Summarization with Unsupervised Autoencoders

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series - Lecture Notes in Computer Science
Latest Publications