skip to content
Artificial neural networks and machine learning - ICANN 2018 : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings. Part III Preview this item
ClosePreview this item
Checking...

Artificial neural networks and machine learning - ICANN 2018 : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings. Part III

Author: V Kůrková; Yannis Manolopoulos; Barbara Hammer; Lazaros S Iliadis; Ilias G Maglogiannis
Publisher: Cham, Switzerland : Springer, [2018]
Series: Lecture notes in computer science, 11141.; LNCS sublibrary., SL 1,, Theoretical computer science and general issues.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Summary:
This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Printed edition:
Printed edition:
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: V Kůrková; Yannis Manolopoulos; Barbara Hammer; Lazaros S Iliadis; Ilias G Maglogiannis
ISBN: 9783030014247 303001424X
OCLC Number: 1060595883
Description: 1 online resource
Contents: Recurrant ANN: Policy Learning Using SPSA / R. Ramamurthy, C. Bauckhage, R. Sifa, S. Wrobel --
Simple Recurrent Neural Networks for Support Vector Machine Training / Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage --
RNN-SURV: A Deep Recurrent Model for Survival Analysis / Eleonora Giunchiglia, Anton Nemchenko, Mihaela van der Schaar --
Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification? / Jan Kronenberger, Anselm Haselhoff --
Balanced and Deterministic Weight-Sharing Helps Network Performance / Oscar Chang, Hod Lipson --
Neural Networks with Block Diagonal Inner Product Layers / Amy Nesky, Quentin F. Stout --
Training Neural Networks Using Predictor-Corrector Gradient Descent / Amy Nesky, Quentin F. Stout --
Investigating the Role of Astrocyte Units in a Feedforward Neural Network / Peter Gergel', Igor Farkaŝ --
Interactive Area Topics Extraction with Policy Gradient / Jingfei Han, Wenge Rong, Fang Zhang, Yutao Zhang, Jie Tang, Zhang Xiong --
Implementing Neural Turing Machines / Mark Collier, Joeran Beel --
A RNN-Based Multi-factors Model for Repeat Consumption Prediction / Zengwei Zheng, Yanzhen Zhou, Lin Sun, Jianping Cai --
Practical Fractional-Order Neuron Dynamics for Reservoir Computing / Taisuke Kobayashi --
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning / Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini --
Towards End-to-End Raw Audio Music Synthesis / Manfred Eppe, Tayfun Alpay, Stefan Wermter --
Real-Time Hand Prosthesis Biomimetic Movement Based on Electromyography Sensory Signals Treatment and Sensors Fusion / João Olegário de Oliveira de Souza, José Vicente Canto dos Santos, Rodrigo Marques de Figueiredo, Gustavo Pessin --
An Exploration of Dropout with RNNs for Natural Language Inference / Amit Gajbhiye, Sardar Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley --
Neural Model for the Visual Recognition of Animacy and Social Interaction / Mohammad Hovaidi-Ardestani, Nitin Saini, Aleix M. Martinez, Martin A. Giese --
Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy / Dongjie Zhang, Zheng Fang, Yanan Cao, Yanbing Liu, Xiaojun Chen, Jianlong Tan --
Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures / Abhijit Mahalunkar, John D. Kelleher --
Learning Trends on the Fly in Time Series Data Using Plastic CGP Evolved Recurrent Neural Networks / Gul Mummad Khan, Durr-e-Nayab --
Noise Masking Recurrent Neural Network for Respiratory Sound Classification / Kirill Kochetov, Evgeny Putin, Maksim Balashov, Andrey Filchenkov, Anatoly Shalyto --
Lightweight Neural Programming: The GRPU / Felipe Carregosa, Aline Paes, Gerson Zaverucha --
Towards More Biologically Plausible Error-Driven Learning for Artificial Neural Networks / Kristína Malinovská, Ľudovít Malinovský, Igor Farkaš --
Online Carry Mode Detection for Mobile Devices with Compact RNNs / Philipp Kuhlmann, Paul Sanzenbacher, Sebastian Otte. Deep Learning: Deep CNN-ELM Hybrid Models for Fire Detection in Images / Jivitesh Sharma, Ole-Christopher Granmo, Morten Goodwin --
Siamese Survival Analysis with Competing Risks / Anton Nemchenko, Trent Kyono, Mihaela Van Der Schaar --
A Survey on Deep Transfer Learning / huanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu --
Cloud Detection in High-Resolution Multispectral Satellite Imagery Using Deep Learning / Giorgio Morales, Samuel G. Huamán, Joel Telles --
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning / Alexey Potapov, Sergey Rodionov, Hugo Latapie, Enzo Fenoglio --
Classification of MRI Migraine Medical Data Using 3D Convolutional Neural Network / Hwei Geok Ng, Matthias Kerzel, Jan Mehnert, Arne May, Stefan Wermter --
Deep 3D Pose Dictionary: 3D Human Pose Estimation from Single RGB Image Using Deep Convolutional Neural Network / Reda Elbasiony, Walid Gomaa, Tetsuya Ogata --
FiLayer: A Novel Fine-Grained Layer-Wise Parallelism Strategy for Deep Neural Networks / Wenbin Jiang, Yangsong Zhang, Pai Liu, Geyan Ye, Hai Jin --
DeepVol: Deep Fruit Volume Estimation / Hongyu Li, Tianqi Han --
Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation / Debasmit Das, C. S. George Lee --
fNIRS-Based Brain–Computer Interface Using Deep Neural Networks for Classifying the Mental State of Drivers / Gauvain Huve, Kazuhiko Takahashi, Masafumi Hashimoto --
Research on Fight the Landlords' Single Card Guessing Based on Deep Learning / Saisai Li, Shuqin Li, Meng Ding, Kun Meng --
Short-Term Precipitation Prediction with Skip-Connected PredNet / Ryoma Sato, Hisashi Kashima, Takehiro Yamamoto --
An End-to-End Deep Learning Architecture for Classification of Malware's Binary Content / Daniel Gibert, Carles Mateu, Jordi Planes --
Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio / Stanislaw Jastrzębski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio et al. --
Data Correction by a Generative Model with an Encoder and its Application to Structure Design / Takaya Ueda, Masataka Seo, Ikuko Nishikawa --
PMGAN: Paralleled Mix-Generator Generative Adversarial Networks with Balance Control / Xia Xiao, Sanguthevar Rajasekaran --
Modular Domain-to-Domain Translation Network / Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov --
OrieNet: A Regression System for Latent Fingerprint Orientation Field Extraction / Zhenshen Qu, Junyu Liu, Yang Liu, Qiuyu Guan, Chunyu Yang, Yuxin Zhang --
Avoiding Degradation in Deep Feed-Forward Networks by Phasing Out Skip-Connections / Ricardo Pio Monti, Sina Tootoonian, Robin Cao --
A Deep Predictive Coding Network for Inferring Hierarchical Causes Underlying Sensory Inputs / Shirin Dora, Cyriel Pennartz, Sander Bohte --
Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models / Zakhriya Alhassan, A. Stephen McGough, Riyad Alshammari, Tahani Daghstani, David Budgen, Noura Al Moubayed --
A Deep Learning Approach for Sentence Classification of Scientific Abstracts / Sérgio Gonçalves, Paulo Cortez, Sérgio Moro --
Weighted Multi-view Deep Neural Networks for Weather Forecasting / Zahra Karevan, Lynn Houthuys, Johan A. K. Suykens --
Combining Articulatory Features with End-to-End Learning in Speech Recognition / Leyuan Qu, Cornelius Weber, Egor Lakomkin, Johannes Twiefel, Stefan Wermter --
Estimation of Air Quality Index from Seasonal Trends Using Deep Neural Network / Arjun Sharma, Anirban Mitra, Sumit Sharma, Sudip Roy --
A Deep Learning Approach to Bacterial Colony Segmentation / Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli / Sparsity and Complexity of Networks Computing Highly-Varying Functions / Věra Kůrková --
Deep Learning Based Vehicle Make-Model Classification / Burak Satar, Ahmet Emir Dirik --
Detection and Recognition of Badgers Using Deep Learning / Emmanuel Okafor, Gerard Berendsen, Lambert Schomaker, Marco Wiering --
SPSA for Layer-Wise Training of Deep Networks / Benjamin Wulff, Jannis Schuecker, Christian Bauckhage --
Dipolar Data Aggregation in the Context of Deep Learning / Leon Bobrowski, Magdalena Topczewska --
Video Surveillance of Highway Traffic Events by Deep Learning Architectures / Matteo Tiezzi, Stefano Melacci, Marco Maggini, Angelo Frosini --
Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks / Antreas Antoniou, Amos Storkey, Harrison Edwards --
DeepEthnic: Multi-label Ethnic Classification from Face Images / Katia Huri, Eli (Omid) David, Nathan S. Netanyahu --
Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks / Evyatar Illouz, Eli (Omid) David, Nathan S. Netanyahu --
A Deep Learning Approach for Sentiment Analysis in Spanish Tweets / Gerson Vizcarra, Antoni Mauricio, Leonidas Mauricio --
Location Dependency in Video Prediction / Niloofar Azizi, Hafez Farazi, Sven Behnke. Brain Neurocomputing Modeling: State-Space Analysis of an Ising Model Reveals Contributions of Pairwise Interactions to Sparseness, Fluctuation, and Stimulus Coding of Monkey V1 Neurons / Jimmy Gaudreault, Hideaki Shimazaki --
Sparse Coding Predicts Optic Flow Specifities of Zebrafish Pretectal Neurons / Gerrit A. Ecke, Fabian A. Mikulasch, Sebastian A. Bruijns, Thede Witschel, Aristides B. Arrenberg, Hanspeter A. Mallot --
Brain-Machine Interface for Mechanical Ventilation Using Respiratory-Related Evoked Potential / Sylvain Chevallier, Guillaume Bao, Mayssa Hammami, Fabienne Marlats, Louis Mayaud, Djillali Annane et al. --
Effectively Interpreting Electroencephalogram Classification Using the Shapley Sampling Value to Prune a Feature Tree / Kazuki Tachikawa, Yuji Kawai, Jihoon Park, Minoru Asada --
EEG-Based Person Identification Using Rhythmic Brain Activity During Sleep / Athanasios Koutras, George K. Kostopoulos --
An STDP Rule for the Improvement and Stabilization of the Attractor Dynamics of the Basal Ganglia-Thalamocortical Network / Jérémie Cabessa, Alessandro E. P. Villa --
Neuronal Asymmetries and Fokker-Planck Dynamics / Vitor Tocci F. de Luca, Roseli S. Wedemann, Angel R. Plastino. Robotics/Motion Detection: Learning-While Controlling RBF-NN for Robot Dynamics Approximation in Neuro-Inspired Control of Switched Nonlinear Systems / Sophie Klecker, Bassem Hichri, Peter Plapper --
A Feedback Neural Network for Small Target Motion Detection in Cluttered Backgrounds / Hongxin Wang, Jigen Peng, Shigang Yue --
De-noise-GAN: De-noising Images to Improve RoboCup Soccer Ball Detection / Daniel Speck, Pablo Barros, Stefan Wermter --
Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms / Sebastian Otte, Lea Hofmaier, Martin V. Butz --
An Improved Block-Matching Algorithm Based on Chaotic Sine-Cosine Algorithm for Motion Estimation / Bodhisattva Dash, Suvendu Rup --
Terrain Classification with Crawling Robot Using Long Short-Term Memory Network / Rudolf J. Szadkowski, Jan Drchal, Jan Faigl --
Mass-Spring Damper Array as a Mechanical Medium for Computation / Yuki Yamanaka, Takaharu Yaguchi, Kohei Nakajima, Helmut Hauser --
Kinematic Estimation with Neural Networks for Robotic Manipulators / Michail Theofanidis, Saif Iftekar Sayed, Joe Cloud, James Brady, Fillia Makedon. Social Media: Hierarchical Attention Networks for User Profile Inference in Social Media Systems / Zhezhou Kang, Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Li Guo --
A Topological k-Anonymity Model Based on Collaborative Multi-view Clustering / Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi --
A Credibility-Based Analysis of Information Diffusion in Social Networks / Sabina-Adriana Floria, Florin Leon, Doina Logofătu.
Series Title: Lecture notes in computer science, 11141.; LNCS sublibrary., SL 1,, Theoretical computer science and general issues.
Other Titles: ICANN 2018
Responsibility: Věra Kůrková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, Ilias Maglogiannis (Eds.).

Abstract:

This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems - Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/1060595883> # Artificial neural networks and machine learning - ICANN 2018 : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings. Part III
    a schema:CreativeWork, schema:Book, schema:MediaObject ;
    library:oclcnum "1060595883" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/sz> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/9657724748#Topic/neural_networks_computer_science> ; # Neural networks (Computer science)
    schema:about <http://dewey.info/class/006.3/e23/> ;
    schema:alternateName "ICANN 2018" ;
    schema:bookFormat schema:EBook ;
    schema:creator <http://experiment.worldcat.org/entity/work/data/9657724748#Meeting/international_conference_on_artificial_neural_networks_european_neural_network_society_27th_2018_rhodes_greece> ; # International Conference on Artificial Neural Networks (European Neural Network Society) (27th : 2018 : Rhodes, Greece)
    schema:datePublished "2018" ;
    schema:description "This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems - Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning."@en ;
    schema:description "Recurrant ANN: Policy Learning Using SPSA / R. Ramamurthy, C. Bauckhage, R. Sifa, S. Wrobel -- Simple Recurrent Neural Networks for Support Vector Machine Training / Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage -- RNN-SURV: A Deep Recurrent Model for Survival Analysis / Eleonora Giunchiglia, Anton Nemchenko, Mihaela van der Schaar -- Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification? / Jan Kronenberger, Anselm Haselhoff -- Balanced and Deterministic Weight-Sharing Helps Network Performance / Oscar Chang, Hod Lipson -- Neural Networks with Block Diagonal Inner Product Layers / Amy Nesky, Quentin F. Stout -- Training Neural Networks Using Predictor-Corrector Gradient Descent / Amy Nesky, Quentin F. Stout -- Investigating the Role of Astrocyte Units in a Feedforward Neural Network / Peter Gergel', Igor Farkaŝ -- Interactive Area Topics Extraction with Policy Gradient / Jingfei Han, Wenge Rong, Fang Zhang, Yutao Zhang, Jie Tang, Zhang Xiong -- Implementing Neural Turing Machines / Mark Collier, Joeran Beel -- A RNN-Based Multi-factors Model for Repeat Consumption Prediction / Zengwei Zheng, Yanzhen Zhou, Lin Sun, Jianping Cai -- Practical Fractional-Order Neuron Dynamics for Reservoir Computing / Taisuke Kobayashi -- An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning / Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini -- Towards End-to-End Raw Audio Music Synthesis / Manfred Eppe, Tayfun Alpay, Stefan Wermter -- Real-Time Hand Prosthesis Biomimetic Movement Based on Electromyography Sensory Signals Treatment and Sensors Fusion / João Olegário de Oliveira de Souza, José Vicente Canto dos Santos, Rodrigo Marques de Figueiredo, Gustavo Pessin -- An Exploration of Dropout with RNNs for Natural Language Inference / Amit Gajbhiye, Sardar Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley -- Neural Model for the Visual Recognition of Animacy and Social Interaction / Mohammad Hovaidi-Ardestani, Nitin Saini, Aleix M. Martinez, Martin A. Giese -- Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy / Dongjie Zhang, Zheng Fang, Yanan Cao, Yanbing Liu, Xiaojun Chen, Jianlong Tan -- Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures / Abhijit Mahalunkar, John D. Kelleher -- Learning Trends on the Fly in Time Series Data Using Plastic CGP Evolved Recurrent Neural Networks / Gul Mummad Khan, Durr-e-Nayab -- Noise Masking Recurrent Neural Network for Respiratory Sound Classification / Kirill Kochetov, Evgeny Putin, Maksim Balashov, Andrey Filchenkov, Anatoly Shalyto -- Lightweight Neural Programming: The GRPU / Felipe Carregosa, Aline Paes, Gerson Zaverucha -- Towards More Biologically Plausible Error-Driven Learning for Artificial Neural Networks / Kristína Malinovská, Ľudovít Malinovský, Igor Farkaš -- Online Carry Mode Detection for Mobile Devices with Compact RNNs / Philipp Kuhlmann, Paul Sanzenbacher, Sebastian Otte."@en ;
    schema:editor <http://experiment.worldcat.org/entity/work/data/9657724748#Person/manolopoulos_yannis_1957> ; # Yannis Manolopoulos
    schema:editor <http://experiment.worldcat.org/entity/work/data/9657724748#Person/iliadis_lazaros_s> ; # Lazaros S. Iliadis
    schema:editor <http://experiment.worldcat.org/entity/work/data/9657724748#Person/maglogiannis_ilias_g> ; # Ilias G. Maglogiannis
    schema:editor <http://experiment.worldcat.org/entity/work/data/9657724748#Person/kurkova_v_vera_1948> ; # Vera Kůrková
    schema:editor <http://experiment.worldcat.org/entity/work/data/9657724748#Person/hammer_barbara_1970> ; # Barbara Hammer
    schema:exampleOfWork <http://worldcat.org/entity/work/id/9657724748> ;
    schema:genre "Conference papers and proceedings"@en ;
    schema:genre "Electronic books"@en ;
    schema:genre "Conference publication"@en ;
    schema:inLanguage "en" ;
    schema:isPartOf <http://experiment.worldcat.org/entity/work/data/9657724748#Series/lncs_sublibrary_sl_1_theoretical_computer_science_and_general_issues> ; # LNCS sublibrary: SL 1 - theoretical computer science and general issues
    schema:isPartOf <http://experiment.worldcat.org/entity/work/data/9657724748#Series/lecture_notes_in_computer_science> ; # Lecture notes in computer science ;
    schema:isPartOf <http://experiment.worldcat.org/entity/work/data/9657724748#Series/lncs_sublibrary> ; # LNCS sublibrary.
    schema:isSimilarTo <http://worldcat.org/entity/work/data/9657724748#CreativeWork/> ;
    schema:name "Artificial neural networks and machine learning - ICANN 2018 : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings. Part III"@en ;
    schema:productID "1060595883" ;
    schema:url <https://link.springer.com/book/10.1007/978-3-030-01424-7> ;
    schema:url <https://doi.org/10.1007/978-3-030-01424-7> ;
    schema:workExample <http://worldcat.org/isbn/9783030014247> ;
    schema:workExample <http://dx.doi.org/10.1007/978-3-030-01424-7> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/1060595883> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/9657724748#Meeting/international_conference_on_artificial_neural_networks_european_neural_network_society_27th_2018_rhodes_greece> # International Conference on Artificial Neural Networks (European Neural Network Society) (27th : 2018 : Rhodes, Greece)
    a bgn:Meeting, schema:Event ;
    schema:location <http://experiment.worldcat.org/entity/work/data/9657724748#Place/rhodes_greece> ; # Rhodes, Greece)
    schema:name "International Conference on Artificial Neural Networks (European Neural Network Society) (27th : 2018 : Rhodes, Greece)" ;
    .

<http://experiment.worldcat.org/entity/work/data/9657724748#Person/hammer_barbara_1970> # Barbara Hammer
    a schema:Person ;
    schema:birthDate "1970" ;
    schema:familyName "Hammer" ;
    schema:givenName "Barbara" ;
    schema:name "Barbara Hammer" ;
    .

<http://experiment.worldcat.org/entity/work/data/9657724748#Person/iliadis_lazaros_s> # Lazaros S. Iliadis
    a schema:Person ;
    schema:familyName "Iliadis" ;
    schema:givenName "Lazaros S." ;
    schema:name "Lazaros S. Iliadis" ;
    .

<http://experiment.worldcat.org/entity/work/data/9657724748#Person/kurkova_v_vera_1948> # Vera Kůrková
    a schema:Person ;
    schema:birthDate "1948" ;
    schema:familyName "Kůrková" ;
    schema:givenName "Vera" ;
    schema:givenName "V." ;
    schema:name "Vera Kůrková" ;
    .

<http://experiment.worldcat.org/entity/work/data/9657724748#Person/maglogiannis_ilias_g> # Ilias G. Maglogiannis
    a schema:Person ;
    schema:familyName "Maglogiannis" ;
    schema:givenName "Ilias G." ;
    schema:name "Ilias G. Maglogiannis" ;
    .

<http://experiment.worldcat.org/entity/work/data/9657724748#Person/manolopoulos_yannis_1957> # Yannis Manolopoulos
    a schema:Person ;
    schema:birthDate "1957" ;
    schema:familyName "Manolopoulos" ;
    schema:givenName "Yannis" ;
    schema:name "Yannis Manolopoulos" ;
    .

<http://experiment.worldcat.org/entity/work/data/9657724748#Place/rhodes_greece> # Rhodes, Greece)
    a schema:Place ;
    schema:name "Rhodes, Greece)" ;
    .

<http://experiment.worldcat.org/entity/work/data/9657724748#Series/lecture_notes_in_computer_science> # Lecture notes in computer science ;
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/1060595883> ; # Artificial neural networks and machine learning - ICANN 2018 : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings. Part III
    schema:name "Lecture notes in computer science ;" ;
    .

<http://experiment.worldcat.org/entity/work/data/9657724748#Series/lncs_sublibrary> # LNCS sublibrary.
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/1060595883> ; # Artificial neural networks and machine learning - ICANN 2018 : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings. Part III
    schema:name "LNCS sublibrary." ;
    .

<http://experiment.worldcat.org/entity/work/data/9657724748#Series/lncs_sublibrary_sl_1_theoretical_computer_science_and_general_issues> # LNCS sublibrary: SL 1 - theoretical computer science and general issues
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/1060595883> ; # Artificial neural networks and machine learning - ICANN 2018 : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings. Part III
    schema:name "LNCS sublibrary: SL 1 - theoretical computer science and general issues" ;
    .

<http://experiment.worldcat.org/entity/work/data/9657724748#Topic/neural_networks_computer_science> # Neural networks (Computer science)
    a schema:Intangible ;
    schema:name "Neural networks (Computer science)"@en ;
    .

<http://worldcat.org/entity/work/data/9657724748#CreativeWork/>
    a schema:CreativeWork ;
    schema:description "Printed edition:" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/1060595883> ; # Artificial neural networks and machine learning - ICANN 2018 : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings. Part III
    .

<http://worldcat.org/isbn/9783030014247>
    a schema:ProductModel ;
    schema:isbn "303001424X" ;
    schema:isbn "9783030014247" ;
    .

<http://www.worldcat.org/title/-/oclc/1060595883>
    a genont:InformationResource, genont:ContentTypeGenericResource ;
    schema:about <http://www.worldcat.org/oclc/1060595883> ; # Artificial neural networks and machine learning - ICANN 2018 : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings. Part III
    schema:dateModified "2019-11-24" ;
    void:inDataset <http://purl.oclc.org/dataset/WorldCat> ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.