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27. 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 I. Lecture Notes in Computer Science 11139, Springer 2018, ISBN 978-3-030-01417-9
CNN/Natural Language
- Xiao Dong
, Lei Liu, Guangli Li
Fast CNN Pruning via Redundancy-Aware Training. 3-13 - Youcai Zhang, Yiwei Gu, Xiaodong Gu:
Two-Stream Convolutional Neural Network for Multimodal Matching. 14-21 - Giannis Nikolentzos
Kernel Graph Convolutional Neural Networks. 22-32 - Luiz Carlos da Silva, Cleber Gustavo Dias
A Histogram of Oriented Gradients for Broken Bars Diagnosis in Squirrel Cage Induction Motors. 33-42 - Nobuaki Hasuike, Yuko Osana:
Learning Game by Profit Sharing Using Convolutional Neural Network. 43-50 - Yahaya Isah Shehu, Ariel Ruiz-Garcia, Vasile Palade, Anne E. James:
Detection of Fingerprint Alterations Using Deep Convolutional Neural Networks. 51-60 - Antonios Karatzoglou, Nikolai Schnell, Michael Beigl:
A Convolutional Neural Network Approach for Modeling Semantic Trajectories and Predicting Future Locations. 61-72 - Jirí Martínek
Neural Networks for Multi-lingual Multi-label Document Classification. 73-83 - Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li:
Multi-region Ensemble Convolutional Neural Network for Facial Expression Recognition. 84-94 - Alex Hernández-García
Further Advantages of Data Augmentation on Convolutional Neural Networks. 95-103 - Xiaoping Zheng, Song He
DTI-RCNN: New Efficient Hybrid Neural Network Model to Predict Drug-Target Interactions. 104-114 - Ying Chen, Wenjun Hou, Xiyao Cheng:
Hierarchical Convolution Neural Network for Emotion Cause Detection on Microblogs. 115-122 - Stefan Oehmcke
Direct Training of Dynamic Observation Noise with UMarineNet. 123-133 - Alper Ahmetoglu
Convolutional Soft Decision Trees. 134-141 - Qiang Sun, Yue Wu:
A Multi-level Attention Model for Text Matching. 142-153 - Xingzhang Ren, Leilei Zhang, Wei Ye, Hang Hua, Shikun Zhang:
Attention Enhanced Chinese Word Embeddings. 154-165 - Mark Cappello Ferreira de Sousa, Miguel Angelo de Abreu de Sousa
Balancing Convolutional Neural Networks Pipeline in FPGAs. 166-175 - Annika Lindh
Generating Diverse and Meaningful Captions - Unsupervised Specificity Optimization for Image Captioning. 176-187 - Kostas Delibasis
Assessing Image Analysis Filters as Augmented Input to Convolutional Neural Networks for Image Classification. 188-196
Spiking
- Hui Wei, Su Zihao, Dawei Dai:
Balanced Cortical Microcircuitry-Based Network for Working Memory. 199-210 - Juan Camilo Vasquez Tieck
Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine. 211-221 - Xianghong Lin, Guoyong Shi:
A Supervised Multi-spike Learning Algorithm for Recurrent Spiking Neural Networks. 222-234 - Takayuki Fujita, Yuko Osana:
Artwork Retrieval Based on Similarity of Touch Using Convolutional Neural Network. 235-243 - Jacques Kaiser, Jakob Weinland, Philip Keller, Lea Steffen, Juan Camilo Vasquez Tieck
Microsaccades for Neuromorphic Stereo Vision. 244-252 - René Larisch, Michael Teichmann
A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement. 253-262 - Varun Bhatt, Udayan Ganguly:
Sparsity Enables Data and Energy Efficient Spiking Convolutional Neural Networks. 263-272 - Shashwat Shukla, Sangya Dutta, Udayan Ganguly:
Design of Spiking Rate Coded Logic Gates for C. elegans Inspired Contour Tracking. 273-283 - Isabella Pozzi, Roeland Nusselder, Davide Zambrano
Gating Sensory Noise in a Spiking Subtractive LSTM. 284-293 - Lech Marian Grzesiak
Spiking Signals in FOC Control Drive. 294-303 - Chama Bensmail, Volker Steuber
Spiking Neural Network Controllers Evolved for Animat Foraging Based on Temporal Pattern Recognition in the Presence of Noise on Input. 304-313 - Muhammad Aamir Khan, Volker Steuber
Spiking Neural Networks Evolved to Perform Multiplicative Operations. 314-321 - Muhammad Yaqoob
Very Small Spiking Neural Networks Evolved for Temporal Pattern Recognition and Robust to Perturbed Neuronal Parameters. 322-331
Machine Learning/Autoencoders
- Ingrid Grenet, Yonghua Yin, Jean-Paul Comet, Erol Gelenbe:
Machine Learning to Predict Toxicity of Compounds. 335-345 - Javier Cela, Alberto Suárez:
Energy-Based Clustering for Pruning Heterogeneous Ensembles. 346-351 - Cristhian Motoche, Marco E. Benalcázar:
Real-Time Hand Gesture Recognition Based on Electromyographic Signals and Artificial Neural Networks. 352-361 - Shuqing Wang, Yongmei Lei:
Fast Communication Structure for Asynchronous Distributed ADMM Under Unbalance Process Arrival Pattern. 362-371 - Josef Feigl, Martin Bogdan:
Improved Personalized Rankings Using Implicit Feedback. 372-381 - Chunjie Luo, Jianfeng Zhan, Xiaohe Xue, Lei Wang, Rui Ren, Qiang Yang:
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks. 382-391 - Mandar V. Tabib
Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges. 392-401 - Guangli Li
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge. 402-411 - Martin Simonovsky, Nikos Komodakis:
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders. 412-422 - Amit Chaulwar, Michael Botsch, Wolfgang Utschick
Generation of Reference Trajectories for Safe Trajectory Planning. 423-434 - Igor Isaev
Joint Application of Group Determination of Parameters and of Training with Noise Addition to Improve the Resilience of the Neural Network Solution of the Inverse Problem in Spectroscopy to Noise in Data. 435-444
Learning
- Zhihao Ye, Ruichu Cai, Zhaohui Liao, Zhifeng Hao, Jinfen Li:
Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning. 447-455 - Jan Philip Göpfert
Mitigating Concept Drift via Rejection. 456-467 - Jessica Lopez-Hazas
Strategies to Enhance Pattern Recognition in Neural Networks Based on the Insect Olfactory System. 468-475 - Alexey Potapov, Oleg Shcherbakov, Innokentii Zhdanov, Sergey Rodionov, Nikolai Skorobogatko:
HyperNets and Their Application to Learning Spatial Transformations. 476-486 - Benedikt Pfülb, Alexander Gepperth, Saad Abdullah, André Kilian:
Catastrophic Forgetting: Still a Problem for DNNs. 487-497 - Kleanthis Malialis
Queue-Based Resampling for Online Class Imbalance Learning. 498-507 - Ege Beyazit, Matin Hosseini, Anthony Maida, Xindong Wu:
Learning Simplified Decision Boundaries from Trapezoidal Data Streams. 508-517 - Christian Limberg
Improving Active Learning by Avoiding Ambiguous Samples. 518-527 - Zheng Wang, Irena Koprinska:
Solar Power Forecasting Using Dynamic Meta-Learning Ensemble of Neural Networks. 528-537 - Pablo de Viña, Gonzalo Martínez-Muñoz
Using Bag-of-Little Bootstraps for Efficient Ensemble Learning. 538-545 - Ivano Lauriola
Learning Preferences for Large Scale Multi-label Problems. 546-555 - Ujjal Kr Dutta
Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework. 556-565 - Myrianthi Hadjicharalambous, Marios M. Polycarpou, Christos G. Panayiotou:
Online Approximation of Prediction Intervals Using Artificial Neural Networks. 566-576
Classification
- Cosme Llerena, Detlef Müller
Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning. 579-588 - Adriana Mihaela Coroiu
Communication Style - An Analysis from the Perspective of Automated Learning. 589-597 - Adrián Muñoz, Alberto Suárez:
Directional Data Analysis for Shape Classification. 598-607 - Jirí Martínek
Semantic Space Transformations for Cross-Lingual Document Classification. 608-616 - Guillermo Sarasa
Automatic Treatment of Bird Audios by Means of String Compression Applied to Sound Clustering in Xeno-Canto Database. 617-625 - Zongren Li, Yijie Wang, Guohong Zhao, Li Cheng, Xingkong Ma:
FROD: Fast and Robust Distance-Based Outlier Detection with Active-Inliers-Patterns in Data Streams. 626-636 - Chenxin Sun, Na Jiang, Lei Zhang, Yuehua Wang, Wei Wu, Zhong Zhou:
Unified Framework for Joint Attribute Classification and Person Re-identification. 637-647 - Adrian Horzyk
Associative Graph Data Structures Used for Acceleration of K Nearest Neighbor Classifiers. 648-658 - Mirko Polato
A Game-Theoretic Framework for Interpretable Preference and Feature Learning. 659-668 - Konstantinos Demertzis
A Dynamic Ensemble Learning Framework for Data Stream Analysis and Real-Time Threat Detection. 669-681
Fuzzy/Feature Selection
- Francisco de A. T. de Carvalho
Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation. 685-694 - Sara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho
Fuzzy Clustering Algorithm Based on Adaptive Euclidean Distance and Entropy Regularization for Interval-Valued Data. 695-705 - Atalya Waissman, Aharon Bar-Hillel
Input-Dependably Feature-Map Pruning. 706-713 - Anirban Mitra, Arjun Sharma, Sumit Sharma
Thermal Comfort Index Estimation and Parameter Selection Using Fuzzy Convolutional Neural Network. 714-724 - Serafeim Koutsomplias, Lazaros S. Iliadis:
Soft Computing Modeling of the Illegal Immigration Density in the Borders of Greece. 725-735 - Georgios Souliotis, Basil K. Papadopoulos:
Fuzzy Implications Generating from Fuzzy Negations. 736-744
Facial/Emotion Recognition
- Xinmin Zhang
Improving Ensemble Learning Performance with Complementary Neural Networks for Facial Expression Recognition. 747-759 - Ji Liu, Shuai Li, Wenfeng Song, Liang Liu, Hong Qin, Aimin Hao:
Automatic Beautification for Group-Photo Facial Expressions Using Novel Bayesian GANs. 760-770 - Maxime Sazadaly, Pierre Pinchon, Arthur Fagot, Lionel Prevost, Myriam Maumy-Bertrand:
Fast and Accurate Affect Prediction Using a Hierarchy of Random Forests. 771-781 - Linjuan Zhang, Longbiao Wang, Jianwu Dang, Lili Guo, Qiang Yu:
Gender-Aware CNN-BLSTM for Speech Emotion Recognition. 782-790 - Ingryd Pereira, Diego Santos, Alexandre M. A. Maciel, Pablo V. A. Barros
Semi-supervised Model for Emotion Recognition in Speech. 791-800 - Yannan Xing, Paul Kirkland
Real-Time Embedded Intelligence System: Emotion Recognition on Raspberry Pi with Intel NCS. 801-808
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