ENGLISH

Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III

Book information

Publisher
Springer International Publishing
Year
2018
ISBN
978-3-030-01423-0;978-3-030-01424-7
Language
english
Format
PDF
Filesize
81 MB (84687398 bytes)
Series
Lecture Notes in Computer Science 11141
Edition
1st ed.
Pages
XXIX, 846\866
Time added
2019-01-12 07:34:03
Co

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. Front Matter ....Pages I-XXIX Front Matter ....Pages 1-1 Policy Learning Using SPSA (R. Ramamurthy, C. Bauckhage, R. Sifa, S. Wrobel)....Pages 3-12 Simple Recurrent Neural Networks for Support Vector Machine Training (Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage)....Pages 13-22 RNN-SURV: A Deep Recurrent Model for Survival Analysis (Eleonora Giunchiglia, Anton Nemchenko, Mihaela van der Schaar)....Pages 23-32 Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification? (Jan Kronenberger, Anselm Haselhoff)....Pages 33-40 Balanced and Deterministic Weight-Sharing Helps Network Performance (Oscar Chang, Hod Lipson)....Pages 41-50 Neural Networks with Block Diagonal Inner Product Layers (Amy Nesky, Quentin F. Stout)....Pages 51-61 Training Neural Networks Using Predictor-Corrector Gradient Descent (Amy Nesky, Quentin F. Stout)....Pages 62-72 Investigating the Role of Astrocyte Units in a Feedforward Neural Network (Peter Gergel’, Igor Farkaŝ)....Pages 73-83 Interactive Area Topics Extraction with Policy Gradient (Jingfei Han, Wenge Rong, Fang Zhang, Yutao Zhang, Jie Tang, Zhang Xiong)....Pages 84-93 Implementing Neural Turing Machines (Mark Collier, Joeran Beel)....Pages 94-104 A RNN-Based Multi-factors Model for Repeat Consumption Prediction (Zengwei Zheng, Yanzhen Zhou, Lin Sun, Jianping Cai)....Pages 105-115 Practical Fractional-Order Neuron Dynamics for Reservoir Computing (Taisuke Kobayashi)....Pages 116-125 An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning (Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini)....Pages 126-136 Towards End-to-End Raw Audio Music Synthesis (Manfred Eppe, Tayfun Alpay, Stefan Wermter)....Pages 137-146 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)....Pages 147-156 An Exploration of Dropout with RNNs for Natural Language Inference (Amit Gajbhiye, Sardar Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley)....Pages 157-167 Neural Model for the Visual Recognition of Animacy and Social Interaction (Mohammad Hovaidi-Ardestani, Nitin Saini, Aleix M. Martinez, Martin A. Giese)....Pages 168-177 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)....Pages 178-188 Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures (Abhijit Mahalunkar, John D. Kelleher)....Pages 189-198 Learning Trends on the Fly in Time Series Data Using Plastic CGP Evolved Recurrent Neural Networks (Gul Mummad Khan, Durr-e-Nayab)....Pages 199-207 Noise Masking Recurrent Neural Network for Respiratory Sound Classification (Kirill Kochetov, Evgeny Putin, Maksim Balashov, Andrey Filchenkov, Anatoly Shalyto)....Pages 208-217 Lightweight Neural Programming: The GRPU (Felipe Carregosa, Aline Paes, Gerson Zaverucha)....Pages 218-227 Towards More Biologically Plausible Error-Driven Learning for Artificial Neural Networks (Kristína Malinovská, Ľudovít Malinovský, Igor Farkaš)....Pages 228-231 Online Carry Mode Detection for Mobile Devices with Compact RNNs (Philipp Kuhlmann, Paul Sanzenbacher, Sebastian Otte)....Pages 232-241 Front Matter ....Pages 243-243 Deep CNN-ELM Hybrid Models for Fire Detection in Images (Jivitesh Sharma, Ole-Christopher Granmo, Morten Goodwin)....Pages 245-259 Siamese Survival Analysis with Competing Risks (Anton Nemchenko, Trent Kyono, Mihaela Van Der Schaar)....Pages 260-269 A Survey on Deep Transfer Learning (Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu)....Pages 270-279 Cloud Detection in High-Resolution Multispectral Satellite Imagery Using Deep Learning (Giorgio Morales, Samuel G. Huamán, Joel Telles)....Pages 280-288 Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning (Alexey Potapov, Sergey Rodionov, Hugo Latapie, Enzo Fenoglio)....Pages 289-299 Classification of MRI Migraine Medical Data Using 3D Convolutional Neural Network (Hwei Geok Ng, Matthias Kerzel, Jan Mehnert, Arne May, Stefan Wermter)....Pages 300-309 Deep 3D Pose Dictionary: 3D Human Pose Estimation from Single RGB Image Using Deep Convolutional Neural Network (Reda Elbasiony, Walid Gomaa, Tetsuya Ogata)....Pages 310-320 FiLayer: A Novel Fine-Grained Layer-Wise Parallelism Strategy for Deep Neural Networks (Wenbin Jiang, Yangsong Zhang, Pai Liu, Geyan Ye, Hai Jin)....Pages 321-330 DeepVol: Deep Fruit Volume Estimation (Hongyu Li, Tianqi Han)....Pages 331-341 Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation (Debasmit Das, C. S. George Lee)....Pages 342-352 fNIRS-Based Brain–Computer Interface Using Deep Neural Networks for Classifying the Mental State of Drivers (Gauvain Huve, Kazuhiko Takahashi, Masafumi Hashimoto)....Pages 353-362 Research on Fight the Landlords’ Single Card Guessing Based on Deep Learning (Saisai Li, Shuqin Li, Meng Ding, Kun Meng)....Pages 363-372 Short-Term Precipitation Prediction with Skip-Connected PredNet (Ryoma Sato, Hisashi Kashima, Takehiro Yamamoto)....Pages 373-382 An End-to-End Deep Learning Architecture for Classification of Malware’s Binary Content (Daniel Gibert, Carles Mateu, Jordi Planes)....Pages 383-391 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.)....Pages 392-402 Data Correction by a Generative Model with an Encoder and its Application to Structure Design (Takaya Ueda, Masataka Seo, Ikuko Nishikawa)....Pages 403-413 PMGAN: Paralleled Mix-Generator Generative Adversarial Networks with Balance Control (Xia Xiao, Sanguthevar Rajasekaran)....Pages 414-424 Modular Domain-to-Domain Translation Network (Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov)....Pages 425-435 OrieNet: A Regression System for Latent Fingerprint Orientation Field Extraction (Zhenshen Qu, Junyu Liu, Yang Liu, Qiuyu Guan, Chunyu Yang, Yuxin Zhang)....Pages 436-446 Avoiding Degradation in Deep Feed-Forward Networks by Phasing Out Skip-Connections (Ricardo Pio Monti, Sina Tootoonian, Robin Cao)....Pages 447-456 A Deep Predictive Coding Network for Inferring Hierarchical Causes Underlying Sensory Inputs (Shirin Dora, Cyriel Pennartz, Sander Bohte)....Pages 457-467 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)....Pages 468-478 A Deep Learning Approach for Sentence Classification of Scientific Abstracts (Sérgio Gonçalves, Paulo Cortez, Sérgio Moro)....Pages 479-488 Weighted Multi-view Deep Neural Networks for Weather Forecasting (Zahra Karevan, Lynn Houthuys, Johan A. K. Suykens)....Pages 489-499 Combining Articulatory Features with End-to-End Learning in Speech Recognition (Leyuan Qu, Cornelius Weber, Egor Lakomkin, Johannes Twiefel, Stefan Wermter)....Pages 500-510 Estimation of Air Quality Index from Seasonal Trends Using Deep Neural Network (Arjun Sharma, Anirban Mitra, Sumit Sharma, Sudip Roy)....Pages 511-521 A Deep Learning Approach to Bacterial Colony Segmentation (Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli)....Pages 522-533 Sparsity and Complexity of Networks Computing Highly-Varying Functions (Věra Kůrková)....Pages 534-543 Deep Learning Based Vehicle Make-Model Classification (Burak Satar, Ahmet Emir Dirik)....Pages 544-553 Detection and Recognition of Badgers Using Deep Learning (Emmanuel Okafor, Gerard Berendsen, Lambert Schomaker, Marco Wiering)....Pages 554-563 SPSA for Layer-Wise Training of Deep Networks (Benjamin Wulff, Jannis Schuecker, Christian Bauckhage)....Pages 564-573 Dipolar Data Aggregation in the Context of Deep Learning (Leon Bobrowski, Magdalena Topczewska)....Pages 574-583 Video Surveillance of Highway Traffic Events by Deep Learning Architectures (Matteo Tiezzi, Stefano Melacci, Marco Maggini, Angelo Frosini)....Pages 584-593 Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks (Antreas Antoniou, Amos Storkey, Harrison Edwards)....Pages 594-603 DeepEthnic: Multi-label Ethnic Classification from Face Images (Katia Huri, Eli (Omid) David, Nathan S. Netanyahu)....Pages 604-612 Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks (Evyatar Illouz, Eli (Omid) David, Nathan S. Netanyahu)....Pages 613-621 A Deep Learning Approach for Sentiment Analysis in Spanish Tweets (Gerson Vizcarra, Antoni Mauricio, Leonidas Mauricio)....Pages 622-629 Location Dependency in Video Prediction (Niloofar Azizi, Hafez Farazi, Sven Behnke)....Pages 630-638 Front Matter ....Pages 639-639 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)....Pages 641-651 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)....Pages 652-661 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.)....Pages 662-671 Effectively Interpreting Electroencephalogram Classification Using the Shapley Sampling Value to Prune a Feature Tree (Kazuki Tachikawa, Yuji Kawai, Jihoon Park, Minoru Asada)....Pages 672-681 EEG-Based Person Identification Using Rhythmic Brain Activity During Sleep (Athanasios Koutras, George K. Kostopoulos)....Pages 682-692 An STDP Rule for the Improvement and Stabilization of the Attractor Dynamics of the Basal Ganglia-Thalamocortical Network (Jérémie Cabessa, Alessandro E. P. Villa)....Pages 693-702 Neuronal Asymmetries and Fokker-Planck Dynamics (Vitor Tocci F. de Luca, Roseli S. Wedemann, Angel R. Plastino)....Pages 703-713 Front Matter ....Pages 715-715 Learning-While Controlling RBF-NN for Robot Dynamics Approximation in Neuro-Inspired Control of Switched Nonlinear Systems (Sophie Klecker, Bassem Hichri, Peter Plapper)....Pages 717-727 A Feedback Neural Network for Small Target Motion Detection in Cluttered Backgrounds (Hongxin Wang, Jigen Peng, Shigang Yue)....Pages 728-737 De-noise-GAN: De-noising Images to Improve RoboCup Soccer Ball Detection (Daniel Speck, Pablo Barros, Stefan Wermter)....Pages 738-747 Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms (Sebastian Otte, Lea Hofmaier, Martin V. Butz)....Pages 748-758 An Improved Block-Matching Algorithm Based on Chaotic Sine-Cosine Algorithm for Motion Estimation (Bodhisattva Dash, Suvendu Rup)....Pages 759-770 Terrain Classification with Crawling Robot Using Long Short-Term Memory Network (Rudolf J. Szadkowski, Jan Drchal, Jan Faigl)....Pages 771-780 Mass-Spring Damper Array as a Mechanical Medium for Computation (Yuki Yamanaka, Takaharu Yaguchi, Kohei Nakajima, Helmut Hauser)....Pages 781-794 Kinematic Estimation with Neural Networks for Robotic Manipulators (Michail Theofanidis, Saif Iftekar Sayed, Joe Cloud, James Brady, Fillia Makedon)....Pages 795-802 Front Matter ....Pages 803-803 Hierarchical Attention Networks for User Profile Inference in Social Media Systems (Zhezhou Kang, Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Li Guo)....Pages 805-816 A Topological k-Anonymity Model Based on Collaborative Multi-view Clustering (Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi)....Pages 817-827 A Credibility-Based Analysis of Information Diffusion in Social Networks (Sabina-Adriana Floria, Florin Leon, Doina Logofătu)....Pages 828-838 Back Matter ....Pages 839-846

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