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ORCID28th ICANN 2019: Munich, Germany - Part I
- Igor V. Tetko
, Vera Kurková, Pavel Karpov, Fabian J. Theis:
Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11727, Springer 2019, ISBN 978-3-030-30486-7
Associative Memory
- Andreas Knoblauch, Günther Palm:
Bidirectional Associative Memory with Block Coding: A Comparison of Iterative Retrieval Methods. 3-19 - Chaouki Aouiti, Farouk Chérif, Anis Zeglaoui:
Stability Analysis of a Generalized Class of BAM Neural Networks with Mixed Delays. 20-31 - Chaouki Aouiti, Farouk Chérif, Farid Touati:
Dissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays. 32-42 - Roseli Suzi Wedemann, Angel Ricardo Plastino:
A Nonlinear Fokker-Planck Description of Continuous Neural Network Dynamics. 43-56 - Rachna Shriwas, Prasun Joshi, Vandana M. Ladwani, V. Ramasubramanian:
Multi-modal Associative Storage and Retrieval Using Hopfield Auto-associative Memory Network. 57-75 - Hiroaki Goto, Yuko Osana:
Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor Independent of Multi-values. 76-86
Brain Activity Analysis and Inspired Computing
- Wajid Mumtaz, Lukás Vareka, Roman Moucek:
A Comparative Analysis of Preprocessing Methods for Single-Trial Event Related Potential Detection. 89-101 - Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata:
Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization. 102-113 - Song Ye, Keiichi Kitajo, Katsunori Kitano:
Detection of Directional Information Flow Induced by TMS Based on Symbolic Transfer Entropy. 114-118 - Timo Wunderlich, Ákos F. Kungl, Eric Müller, Johannes Schemmel, Mihai A. Petrovici:
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network. 119-122 - Gianpaolo Coro, Giulio Masetti, Philipp Bonhoeffer, Michael Betcher:
Distinguishing Violinists and Pianists Based on Their Brain Signals. 123-137
Capsule Networks
- Jian Ye, Qing Chang, Xiaotian Jia:
Research on Image-to-Image Translation with Capsule Network. 141-151 - Jianwei Liu, Xi-hao Ding, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo:
Multi-View Capsule Network. 152-165 - Nguyen Huu Phong, Bernardete Ribeiro:
Advanced Capsule Networks via Context Awareness. 166-177 - Jianwei Liu, Feng Gao, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo, Chu-ran Wang:
DDRM-CapsNet: Capsule Network Based on Deep Dynamic Routing Mechanism for Complex Data. 178-189
Embedding Systems
- Andréa B. Duque, Luã Lázaro J. Santos, David Macêdo, Cleber Zanchettin:
Squeezed Very Deep Convolutional Neural Networks for Text Classification. 193-207 - Mohammad Loni, Ali Zoljodi, Sima Sinaei, Masoud Daneshtalab, Mikael Sjödin:
NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems. 208-222 - Masaharu Yamamoto, Koichiro Yamauchi:
Swap Kernel Regression. 223-238
Explainable Methods
- Kohei Asano, Jinhee Chun, Atsushi Koike, Takeshi Tokuyama:
Model-Agnostic Explanations for Decisions Using Minimal Patterns. 241-252 - Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Goetz Brasche:
NARPCA: Neural Accumulate-Retract PCA for Low-Latency High-Throughput Processing on Datastreams. 253-266 - Sabina-Adriana Floria, Florin Leon, Petru Cascaval, Doina Logofatu:
An Evaluation of Various Regression Models for the Prediction of Two-Terminal Network Reliability. 267-280 - Yifeng Li, Xiaodan Zhu:
Capsule Generative Models. 281-295 - Gregor Ehrensperger, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluating CNNs on the Gestalt Principle of Closure. 296-301 - Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Recovering Localized Adversarial Attacks. 302-311 - Christian Oliva, Luis Fernando Lago-Fernández:
On the Interpretation of Recurrent Neural Networks as Finite State Machines. 312-323
From Single Neurons to Networks
- Weronika Wojtak, Flora J. Ferreira, Estela Bicho, Wolfram Erlhagen:
Neural Field Model for Measuring and Reproducing Time Intervals. 327-338 - Zeyang Yu, Shengxi Li, Danilo P. Mandic:
Widely Linear Complex-Valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models. 339-350 - Pedro Machado, Georgina Cosma, T. Martin McGinnity:
NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images. 351-362 - Mian Zhang, Cheng Cheng, Xianzhong Long:
Deep Semantic Asymmetric Hashing. 363-374 - Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A Neural Network for Semi-supervised Learning on Manifolds. 375-386
Neural Network Theory
- Jirí Síma:
Counting with Analog Neurons. 389-400 - Adrian de Wynter:
On the Bounds of Function Approximations. 401-417 - Vera Kurková:
Probabilistic Bounds for Approximation by Neural Networks. 418-428
New Architectures
- Frederik Diehl, Alois C. Knoll:
Tree Memory Networks for Sequence Processing. 431-443 - Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt, Justin Bayer:
On Deep Set Learning and the Choice of Aggregations. 444-457 - Nasrulloh R. B. S. Loka, Muthu Subash Kavitha, Takio Kurita:
Hilbert Vector Convolutional Neural Network: 2D Neural Network on 1D Data. 458-470 - Yuan Chang, Zixuan Huang, Qiwei Shen:
The Same Size Dilated Attention Network for Keypoint Detection. 471-483 - Sebastian Otte, Patricia Rubisch, Martin V. Butz:
Gradient-Based Learning of Compositional Dynamics with Modular RNNs. 484-496 - Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara:
Transfer Learning with Sparse Associative Memories. 497-512 - Davide Bacciu, Antonio Carta, Alessandro Sperduti:
Linear Memory Networks. 513-525
Reinforcement Learning
- Nobuhito Manome, Shuji Shinohara, Kouta Suzuki, Kosuke Tomonaga, Shunji Mitsuyoshi:
A Multi-armed Bandit Algorithm Available in Stationary or Non-stationary Environments Using Self-organizing Maps. 529-540 - Yuki Miyashita, Toshiharu Sugawara:
Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions. 541-554 - Simon Hakenes, Tobias Glasmachers:
Boosting Reinforcement Learning with Unsupervised Feature Extraction. 555-566 - Beatriz M. Méndez-Hernández, Erick D. Rodríguez Bazan, Yailen Martínez Jiménez, Pieter Libin, Ann Nowé:
A Multi-objective Reinforcement Learning Algorithm for JSSP. 567-584 - Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel:
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks. 585-597 - Zixuan Chen, Zongzhang Zhang:
Deep Recurrent Policy Networks for Planning Under Partial Observability. 598-610 - Hadi Beik-Mohammadi, Mohammad-Ali Zamani, Matthias Kerzel, Stefan Wermter:
Mixed-Reality Deep Reinforcement Learning for a Reach-to-grasp Task. 611-623 - Jiheng Jiang, Shuangjiu Xiao, Linling Xun:
FMNet: Multi-agent Cooperation by Communicating with Featured Message Network. 624-635
Robots
- Martin V. Butz, Tobias Menge, Dania Humaidan, Sebastian Otte:
Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE. 639-653 - Jan Faigl, Milos Prágr:
On Unsupervised Learning of Traversal Cost and Terrain Types Identification Using Self-organizing Maps. 654-668 - Alexandra Moringen, Sascha Fleer, Helge J. Ritter:
Scaffolding Haptic Attention with Controller Gating. 669-684 - Milos Prágr, Jan Faigl:
Benchmarking Incremental Regressors in Traversal Cost Assessment. 685-697 - Matheshwaran Pitchai, Xiaofeng Xiong, Mathias Thor, Peter Billeschou, Peter Lukas Mailänder, Binggwong Leung, Tomas Kulvicius, Poramate Manoonpong:
CPG Driven RBF Network Control with Reinforcement Learning for Gait Optimization of a Dung Beetle-Like Robot. 698-710
Spiking Networks
- Laura State, Pau Vilimelis Aceituno:
Training Delays in Spiking Neural Networks. 713-717 - Yuki Tamura, Satoshi Moriya, Tatsuki Kato, Masao Sakuraba, Yoshihiko Horio, Shigeo Sato:
An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation. 718-723 - Paul Kirkland, Gaetano Di Caterina, John J. Soraghan, Yiannis Andreopoulos, George Matich:
UAV Detection: A STDP Trained Deep Convolutional Spiking Neural Network Retina-Neuromorphic Approach. 724-736 - Junxiu Liu, Liam McDaid, Jim Harkin, Shvan Karim, Anju P. Johnson, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, James A. Hilder:
Autonomous Learning Paradigm for Spiking Neural Networks. 737-744 - Junxiu Liu, Xingyue Huang, Yongchuang Huang, Yuling Luo, Su Yang:
Multi-objective Spiking Neural Network Hardware Mapping Based on Immune Genetic Algorithm. 745-757 - Muhammad Yaqoob, Volker Steuber, Borys Wróbel:
The Importance of Self-excitation in Spiking Neural Networks Evolved to Recognize Temporal Patterns. 758-771
Theoretical Neural Computation
- Jingo Adachi:
Estimating and Factoring the Dropout Induced Distribution with Gaussian Mixture Model. 775-792 - Ramon H. Martinez, Oskar Kviman, Anders Lansner, Pawel Andrzej Herman:
Sequence Disambiguation with Synaptic Traces in Associative Neural Networks. 793-805 - Jérémie Cabessa, Jirí Síma:
Robust Optimal-Size Implementation of Finite State Automata with Synfire Ring-Based Neural Networks. 806-818 - Pavlo V. Tymoshchuk:
A Neural Circuit Model of Adaptive Robust Tracking Control for Continuous-Time Nonlinear Systems. 819-835
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