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28. ICANN 2018: Rhodes, Greece
- Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis:
Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11141, Springer 2018, ISBN 978-3-030-01423-0
Recurrent ANN
- Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Stefan Wrobel:
Policy Learning Using SPSA. 3-12 - Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage:
Simple Recurrent Neural Networks for Support Vector Machine Training. 13-22 - Eleonora Giunchiglia, Anton Nemchenko, Mihaela van der Schaar:
RNN-SURV: A Deep Recurrent Model for Survival Analysis. 23-32 - Jan Kronenberger, Anselm Haselhoff:
Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification? 33-40 - Oscar Chang, Hod Lipson:
Balanced and Deterministic Weight-Sharing Helps Network Performance. 41-50 - Amy Nesky, Quentin F. Stout:
Neural Networks with Block Diagonal Inner Product Layers. 51-61 - Amy Nesky, Quentin F. Stout:
Training Neural Networks Using Predictor-Corrector Gradient Descent. 62-72 - Peter Gergel, Igor Farkas:
Investigating the Role of Astrocyte Units in a Feedforward Neural Network. 73-83 - Jingfei Han, Wenge Rong, Fang Zhang, Yutao Zhang, Jie Tang, Zhang Xiong:
Interactive Area Topics Extraction with Policy Gradient. 84-93 - Mark Collier, Jöran Beel:
Implementing Neural Turing Machines. 94-104 - Zengwei Zheng, Yanzhen Zhou, Lin Sun, Jianping Cai:
A RNN-Based Multi-factors Model for Repeat Consumption Prediction. 105-115 - Taisuke Kobayashi:
Practical Fractional-Order Neuron Dynamics for Reservoir Computing. 116-125 - Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini:
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. 126-136 - Manfred Eppe, Tayfun Alpay, Stefan Wermter:
Towards End-to-End Raw Audio Music Synthesis. 137-146 - João Olegário de Oliveira de Souza, José Vicente Canto dos Santos, Rodrigo Marques de Figueiredo, Gustavo Pessin:
Real-Time Hand Prosthesis Biomimetic Movement Based on Electromyography Sensory Signals Treatment and Sensors Fusion. 147-156 - Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley:
An Exploration of Dropout with RNNs for Natural Language Inference. 157-167 - Mohammad Hovaidi-Ardestani, Nitin Saini, Aleix M. Martínez, Martin A. Giese:
Neural Model for the Visual Recognition of Animacy and Social Interaction. 168-177 - Dongjie Zhang, Zheng Fang, Yanan Cao, Yanbing Liu, Xiaojun Chen, Jianlong Tan:
Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy. 178-188 - Abhijit Mahalunkar, John D. Kelleher:
Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures. 189-198 - Gul Muhammad Khan, Durr-e-Nayab:
Learning Trends on the Fly in Time Series Data Using Plastic CGP Evolved Recurrent Neural Networks. 199-207 - Kirill Kochetov, Evgeny Putin, Maksim Balashov, Andrey Filchenkov, Anatoly Shalyto:
Noise Masking Recurrent Neural Network for Respiratory Sound Classification. 208-217 - Felipe Carregosa, Aline Paes, Gerson Zaverucha:
Lightweight Neural Programming: The GRPU. 218-227 - Kristína Malinovská, Ludovít Malinovský, Igor Farkas:
Towards More Biologically Plausible Error-Driven Learning for Artificial Neural Networks. 228-231 - Philipp Kuhlmann, Paul Sanzenbacher, Sebastian Otte:
Online Carry Mode Detection for Mobile Devices with Compact RNNs. 232-241
Deep Learning
- Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin:
Deep CNN-ELM Hybrid Models for Fire Detection in Images. 245-259 - Anton Nemchenko, Trent Kyono, Mihaela van der Schaar:
Siamese Survival Analysis with Competing Risks. 260-269 - Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu:
A Survey on Deep Transfer Learning. 270-279 - Giorgio Morales, Samuel G. Huamán, Joel Telles:
Cloud Detection in High-Resolution Multispectral Satellite Imagery Using Deep Learning. 280-288 - Alexey Potapov, Sergey Rodionov, Hugo Latapie, Enzo Fenoglio:
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning. 289-299 - Hwei Geok Ng, Matthias Kerzel, Jan Mehnert, Arne May, Stefan Wermter:
Classification of MRI Migraine Medical Data Using 3D Convolutional Neural Network. 300-309 - Reda Elbasiony, Walid Gomaa, Tetsuya Ogata:
Deep 3D Pose Dictionary: 3D Human Pose Estimation from Single RGB Image Using Deep Convolutional Neural Network. 310-320 - Wenbin Jiang, Yangsong Zhang, Pai Liu, Geyan Ye, Hai Jin:
FiLayer: A Novel Fine-Grained Layer-Wise Parallelism Strategy for Deep Neural Networks. 321-330 - Hongyu Li, Tianqi Han:
DeepVol: Deep Fruit Volume Estimation. 331-341 - Debasmit Das, C. S. George Lee:
Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation. 342-352 - Gauvain Huve, Kazuhiko Takahashi, Masafumi Hashimoto:
fNIRS-Based Brain-Computer Interface Using Deep Neural Networks for Classifying the Mental State of Drivers. 353-362 - Saisai Li, Shuqin Li, Meng Ding, Kun Meng:
Research on Fight the Landlords' Single Card Guessing Based on Deep Learning. 363-372 - Ryoma Sato, Hisashi Kashima, Takehiro Yamamoto:
Short-Term Precipitation Prediction with Skip-Connected PredNet. 373-382 - Daniel Gibert, Carles Mateu, Jordi Planes:
An End-to-End Deep Learning Architecture for Classification of Malware's Binary Content. 383-391 - Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey:
Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio. 392-402 - Takaya Ueda, Masataka Seo, Ikuko Nishikawa:
Data Correction by a Generative Model with an Encoder and its Application to Structure Design. 403-413 - Xia Xiao, Sanguthevar Rajasekaran:
PMGAN: Paralleled Mix-Generator Generative Adversarial Networks with Balance Control. 414-424 - Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov:
Modular Domain-to-Domain Translation Network. 425-435 - Zhenshen Qu, Junyu Liu, Yang Liu, Qiuyu Guan, Chunyu Yang, Yuxin Zhang:
OrieNet: A Regression System for Latent Fingerprint Orientation Field Extraction. 436-446 - Ricardo Pio Monti, Sina Tootoonian, Robin Cao:
Avoiding Degradation in Deep Feed-Forward Networks by Phasing Out Skip-Connections. 447-456 - Shirin Dora, Cyriel M. A. Pennartz, Sander M. Bohté:
A Deep Predictive Coding Network for Inferring Hierarchical Causes Underlying Sensory Inputs. 457-467 - Zakhriya Alhassan, A. Stephen McGough, Riyad Alshammari, Tahani Daghstani, David Budgen, Noura Al Moubayed:
Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models. 468-478 - Sérgio Gonçalves, Paulo Cortez, Sérgio Moro:
A Deep Learning Approach for Sentence Classification of Scientific Abstracts. 479-488 - Zahra Karevan, Lynn Houthuys, Johan A. K. Suykens:
Weighted Multi-view Deep Neural Networks for Weather Forecasting. 489-499 - Leyuan Qu, Cornelius Weber, Egor Lakomkin, Johannes Twiefel, Stefan Wermter:
Combining Articulatory Features with End-to-End Learning in Speech Recognition. 500-510 - Arjun Sharma, Anirban Mitra, Sumit Sharma, Sudip Roy:
Estimation of Air Quality Index from Seasonal Trends Using Deep Neural Network. 511-521 - Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli:
A Deep Learning Approach to Bacterial Colony Segmentation. 522-533 - Vera Kurková:
Sparsity and Complexity of Networks Computing Highly-Varying Functions. 534-543 - Burak Satar, Ahmet Emir Dirik:
Deep Learning Based Vehicle Make-Model Classification. 544-553 - Emmanuel Okafor, Gerard Berendsen, Lambert Schomaker, Marco A. Wiering:
Detection and Recognition of Badgers Using Deep Learning. 554-563 - Benjamin Wulff, Jannis Schücker, Christian Bauckhage:
SPSA for Layer-Wise Training of Deep Networks. 564-573 - Leon Bobrowski, Magdalena Topczewska:
Dipolar Data Aggregation in the Context of Deep Learning. 574-583 - Matteo Tiezzi, Stefano Melacci, Marco Maggini, Angelo Frosini:
Video Surveillance of Highway Traffic Events by Deep Learning Architectures. 584-593 - Antreas Antoniou, Amos J. Storkey, Harrison Edwards:
Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks. 594-603 - Katia Huri, Eli (Omid) David, Nathan S. Netanyahu:
DeepEthnic: Multi-label Ethnic Classification from Face Images. 604-612 - Evyatar Illouz, Eli (Omid) David, Nathan S. Netanyahu:
Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks. 613-621 - Gerson Vizcarra, Antoni Mauricio, Leonidas Mauricio:
A Deep Learning Approach for Sentiment Analysis in Spanish Tweets. 622-629 - Niloofar Azizi, Hafez Farazi, Sven Behnke:
Location Dependency in Video Prediction. 630-638
Brain Neurocomputing Modeling
- Jimmy Gaudreault, Hideaki Shimazaki:
State-Space Analysis of an Ising Model Reveals Contributions of Pairwise Interactions to Sparseness, Fluctuation, and Stimulus Coding of Monkey V1 Neurons. 641-651 - Gerrit A. Ecke, Fabian A. Mikulasch, Sebastian A. Bruijns, Thede Witschel, Aristides B. Arrenberg, Hanspeter A. Mallot:
Sparse Coding Predicts Optic Flow Specifities of Zebrafish Pretectal Neurons. 652-661 - Sylvain Chevallier, Guillaume Bao, Mayssa Hammami, Fabienne Marlats, Louis Mayaud, Djillali Annane, Frédéric Lofaso, Eric Azabou:
Brain-Machine Interface for Mechanical Ventilation Using Respiratory-Related Evoked Potential. 662-671 - Kazuki Tachikawa, Yuji Kawai, Jihoon Park, Minoru Asada:
Effectively Interpreting Electroencephalogram Classification Using the Shapley Sampling Value to Prune a Feature Tree. 672-681 - Athanasios Koutras, George K. Kostopoulos:
EEG-Based Person Identification Using Rhythmic Brain Activity During Sleep. 682-692 - Jérémie Cabessa, Alessandro E. P. Villa:
An STDP Rule for the Improvement and Stabilization of the Attractor Dynamics of the Basal Ganglia-Thalamocortical Network. 693-702 - Vitor Tocci F. de Luca, Roseli Suzi Wedemann, Angel Ricardo Plastino:
Neuronal Asymmetries and Fokker-Planck Dynamics. 703-713
Robotics/Motion Detection
- Sophie Klecker, Bassem Hichri, Peter W. Plapper:
Learning-While Controlling RBF-NN for Robot Dynamics Approximation in Neuro-Inspired Control of Switched Nonlinear Systems. 717-727 - Hongxin Wang, Jigen Peng, Shigang Yue:
A Feedback Neural Network for Small Target Motion Detection in Cluttered Backgrounds. 728-737 - Daniel Speck, Pablo V. A. Barros, Stefan Wermter:
De-noise-GAN: De-noising Images to Improve RoboCup Soccer Ball Detection. 738-747 - Sebastian Otte, Lea Hofmaier, Martin V. Butz:
Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms. 748-758 - Bodhisattva Dash, Suvendu Rup:
An Improved Block-Matching Algorithm Based on Chaotic Sine-Cosine Algorithm for Motion Estimation. 759-770 - Rudolf J. Szadkowski, Jan Drchal, Jan Faigl:
Terrain Classification with Crawling Robot Using Long Short-Term Memory Network. 771-780 - Yuki Yamanaka, Takaharu Yaguchi, Kohei Nakajima, Helmut Hauser:
Mass-Spring Damper Array as a Mechanical Medium for Computation. 781-794 - Michail Theofanidis, Saif Iftekar Sayed, Joe Cloud, James Brady, Fillia Makedon:
Kinematic Estimation with Neural Networks for Robotic Manipulators. 795-802
Social Media
- Zhezhou Kang, Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Li Guo:
Hierarchical Attention Networks for User Profile Inference in Social Media Systems. 805-816 - Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi:
A Topological k-Anonymity Model Based on Collaborative Multi-view Clustering. 817-827 - Sabina-Adriana Floria, Florin Leon, Doina Logofatu:
A Credibility-Based Analysis of Information Diffusion in Social Networks. 828-838
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