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ORCID28th ICANN 2019: Munich, Germany - Part IV
- Igor V. Tetko
, Vera Kurková, Pavel Karpov, Fabian J. Theis:
Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part IV. Lecture Notes in Computer Science 11730, Springer 2019, ISBN 978-3-030-30489-8
Text Understanding
- Jun He, Yongjing Cheng, Min Wang, Jingyu Xie, Wei Xie, Rui Su, Shandong Yuan, Yao Cui:
An Ensemble Model for Winning a Chinese Machine Reading Comprehension Competition. 3-8 - Yun Li, Yan Yang, Yong Deng, Qinmin Vivian Hu, Chengcai Chen, Liang He, Zhou Yu:
Dependent Multilevel Interaction Network for Natural Language Inference. 9-21 - Chuanrun Yi, Dong Wang, Chunyu He, Ying Sha:
Learning to Explain Chinese Slang Words. 22-33 - Qifeng Xiao, Ming Gao, Shaochun Wu, Xiaoqi Sun:
Attention-Based Improved BLSTM-CNN for Relation Classification. 34-43 - Yuekun Wei, Binbin Qu, Nan Hu, Liu Han:
An Improved Method of Applying a Machine Translation Model to a Chinese Word Segmentation Task. 44-54 - Kosuke Yoshimura, Tomoaki Iwase, Yukino Baba, Hisashi Kashima:
Interdependence Model for Multi-label Classification. 55-68 - Renato Garita Figueiredo, Kai-Uwe Kühnberger, Gordon Pipa, Tobias Thelen:
Combining Deep Learning and (Structural) Feature-Based Classification Methods for Copyright-Protected PDF Documents. 69-75
Sentiment Classification
- Junwei Bao, Liang Zhang, Bo Han:
Collaborative Attention Network with Word and N-Gram Sequences Modeling for Sentiment Classification. 79-92 - Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, Yanghui Rao:
Targeted Sentiment Classification with Attentional Encoder Network. 93-103 - Minghui Yan, Changjian Wang, Ying Sha:
Capturing User and Product Information for Sentiment Classification via Hierarchical Separated Attention and Neural Collaborative Filtering. 104-116 - Tao Zhang, Xing Wu, Meng Lin, Jizhong Han, Songlin Hu:
Imbalanced Sentiment Classification Enhanced with Discourse Marker. 117-129 - Dong Wang, Tingwen Liu, Bin Wang:
Revising Attention with Position for Aspect-Level Sentiment Classification. 130-142 - Yueheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao:
Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification. 143-155
Human Reaction Prediction
- Sumanu Rawat, Aman Chopra, Siddhartha Singh, Shobhit Sinha:
Mid Roll Advertisement Placement Using Multi Modal Emotion Analysis. 159-171 - Jiong Wang, Neng Gao, Jia Peng, Jingjie Mo:
DCAR: Deep Collaborative Autoencoder for Recommendation with Implicit Feedback. 172-184 - Lisa Graziani, Stefano Melacci, Marco Gori:
Jointly Learning to Detect Emotions and Predict Facebook Reactions. 185-197 - Yuying Zhang, Yuexian Zou, Junyi Peng, Danqing Luo, Dongyan Huang:
Discriminative Feature Learning for Speech Emotion Recognition. 198-210
Judgment Prediction
- Yuhan Yin, Hongtian Yang, Zhihong Zhao, Songyu Chen:
A Judicial Sentencing Method Based on Fused Deep Neural Networks. 213-226 - Congqing He, Li Peng, Yuquan Le, Jiawei He, Xiangyu Zhu:
SECaps: A Sequence Enhanced Capsule Model for Charge Prediction. 227-239 - Si Chen, Pengfei Wang, Wei Fang, Xingchen Deng, Feng Zhang:
Learning to Predict Charges for Judgment with Legal Graph. 240-252 - Ze Yang, Pengfei Wang, Lei Zhang, Linjun Shou, Wenwen Xu:
A Recurrent Attention Network for Judgment Prediction. 253-266
Text Generation
- Yongzhen Gao, Chongjun Wang:
Symmetrical Adversarial Training Network: A Novel Model for Text Generation. 269-280 - Yang Fan, Jungang Xu, Yingfei Sun, Yiyu Wang:
A Novel Image Captioning Method Based on Generative Adversarial Networks. 281-292 - Lei Li, Zuying Huang, Natalia Vanetik, Marina Litvak:
Quality-Diversity Summarization with Unsupervised Autoencoders. 293-299 - Tushar Karayil, Asif Irfan, Federico Raue, Jörn Hees, Andreas Dengel:
Conditional GANs for Image Captioning with Sentiments. 300-312 - Andrea Zugarini, Stefano Melacci, Marco Maggini:
Neural Poetry: Learning to Generate Poems Using Syllables. 313-325 - Yatu Ji, Hongxu Hou, Nier Wu, Junjie Chen:
Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language. 326-336 - Hoa T. Le, Christophe Cerisara, Claire Gardent:
RL Extraction of Syntax-Based Chunks for Sentence Compression. 337-347
Sound Processing
- Yanli Yao, Qiang Yu, Longbiao Wang, Jianwu Dang:
Robust Sound Event Classification with Local Time-Frequency Information and Convolutional Neural Networks. 351-361 - Carlos Tarjano, Valdecy Pereira:
Neuro-Spectral Audio Synthesis: Exploiting Characteristics of the Discrete Fourier Transform in the Real-Time Simulation of Musical Instruments Using Parallel Neural Networks. 362-375 - Hongchang Shan, Yu Liu, Todor P. Stefanov:
Ensemble of Convolutional Neural Networks for P300 Speller in Brain Computer Interface. 376-394
Time Series and Forecasting
- Jiantao Zhang, Pingjian Zhang:
Deep Recurrent Neural Networks with Nonlinear Masking Layers and Two-Level Estimation for Speech Separation. 397-411 - Gilles Madi-Wamba, Nicolas Gaude:
Auto-Lag Networks for Real Valued Sequence to Sequence Prediction. 412-425 - Shun Matsukawa, Chuzo Ninagawa, Junji Morikawa, Takashi Inaba, Seiji Kondo:
LSTM Prediction on Sudden Occurrence of Maintenance Operation of Air-Conditioners in Real-Time Pricing Adaptive Control. 426-435 - Irena Koprinska, Mashud Rana, Ashfaqur Rahman:
Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting. 436-449 - Marc Wenninger, Sebastian P. Bayerl, Jochen Schmidt, Korbinian Riedhammer:
Timage - A Robust Time Series Classification Pipeline. 450-461 - Flávia Dias Casagrande, Jim Tørresen, Evi Zouganeli:
Prediction of the Next Sensor Event and Its Time of Occurrence in Smart Homes. 462-473 - Maoxin Yang, Qinghua Hu, Yun Wang:
Multi-task Learning Method for Hierarchical Time Series Forecasting. 474-485 - Yuya Okadome, Wenpeng Wei, Ryo Sakai, Toshiko Aizono:
Demand-Prediction Architecture for Distribution Businesses Based on Multiple RNNs with Alternative Weight Update. 486-496 - Benedikt Pfülb, Christoph Hardegen, Alexander Gepperth, Sebastian Rieger:
A Study of Deep Learning for Network Traffic Data Forecasting. 497-512 - Zongxia Xie, Hao Wen:
Composite Quantile Regression Long Short-Term Memory Network. 513-524 - Louis Desportes, Pierre Andry, Inbar Fijalkow, Jérôme David:
Short-Term Temperature Forecasting on a Several Hours Horizon. 525-536 - Xuewen Liu, Tim Morris, Chris Saunter:
Using Long Short-Term Memory for Wavefront Prediction in Adaptive Optics. 537-542 - Sebastian Otte, Jakob Stoll, Martin V. Butz:
Incorporating Adaptive RNN-Based Action Inference and Sensory Perception. 543-555 - Irina Myagkova, Alexander Efitorov, Vladimir Shiroky, Sergey Dolenko:
Quality of Prediction of Daily Relativistic Electrons Flux at Geostationary Orbit by Machine Learning Methods. 556-565
Clustering
- Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune:
Soft Subspace Growing Neural Gas for Data Stream Clustering. 569-580 - Anna Kiss, Csaba Sulyok, Zalán Bodó:
Region Prediction from Hungarian Folk Music Using Convolutional Neural Networks. 581-594 - Jian Hou, Chengcong Lv, Aihua Zhang, Xu E:
Merging DBSCAN and Density Peak for Robust Clustering. 595-610 - Mauricio A. Valle, Gonzalo A. Ruz:
Market Basket Analysis Using Boltzmann Machines. 611-623 - Givanna H. Putri, Mark N. Read, Irena Koprinska, Thomas M. Ashhurst, Nicholas J. C. King:
Dimensionality Reduction for Clustering and Cluster Tracking of Cytometry Data. 624-640 - Thiago V. M. Souza, Cleber Zanchettin:
Improving Deep Image Clustering with Spatial Transformer Layers. 641-654 - Kaoutar Benlamine, Nistor Grozavu, Younès Bennani, Basarab Matei:
Collaborative Non-negative Matrix Factorization. 655-666
Anomaly Detection of Sequential Data
- Juan Isidro González Hidalgo, Laura Maria Palomino Mariño, Roberto Souto Maior de Barros:
Cosine Similarity Drift Detector. 669-685 - Amina Alaoui-Belghiti, Sylvain Chevallier, Éric Monacelli:
Unsupervised Anomaly Detection Using Optimal Transport for Predictive Maintenance. 686-697 - Mitsuhiro Ogihara, Hideyuki Mizuno:
Robust Gait Authentication Using Autoencoder and Decision Tree. 698-702 - Dan Li, Dacheng Chen, Baihong Jin, Lei Shi, Jonathan Goh, See-Kiong Ng:
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. 703-716 - Zhipeng Li, Zheng Qin, Pengbo Shen:
Intrusion Detection via Wide and Deep Model. 717-730 - Junae Kim, David Hubczenko, Paul Montague:
Towards Attention Based Vulnerability Discovery Using Source Code Representation. 731-746 - Jakub Nowak, Marcin Korytkowski, Rafal Scherer:
Convolutional Recurrent Neural Networks for Computer Network Analysis. 747-757
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