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ORCIDIJCNN 2019: Budapest, Hungary
- International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019. IEEE 2019, ISBN 978-1-7281-1985-4
- Haibin Yu, Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet:
Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression. 1-8 - Laura Maria Palomino Mariño, Juan Isidro González Hidalgo, Roberto S. M. Barros, Germano C. Vasconcelos:
Improving Fast Adaptive Stacking of Ensembles. 1-8 - Eduardo A. Soares
, Plamen Angelov, Bruno Costa, Marcos Castro:
Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios. 1-8 - Yuanheng Zhu, Haibo He, Dongbin Zhao, Zhongsheng Hou:
Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming. 1-8 - Jun Ni, Yu Liu, Kai Wang, Zhehuan Zhao, Quan Z. Sheng:
Distantly Supervised Relation Extraction through a Trade-off Mechanism. 1-8 - Luca Albergante, Jonathan Bac, Andrei Yu. Zinovyev:
Estimating the effective dimension of large biological datasets using Fisher separability analysis. 1-8 - Philippa Grace McCabe, Sandra Ortega-Martorell, Iván Olier:
Benchmarking multi-task learning in predictive models for drug discovery. 1-7 - Hongwei Ge, Mingde Zhao, Kai Zhang, Liang Sun:
Strategy Selection in Complex Game Environments Based on Transfer Reinforcement Learning. 1-8 - Shreya Ghosh, Abhinav Dhall, Nicu Sebe, Tom Gedeon:
Predicting Group Cohesiveness in Images. 1-8 - Manuel Baltieri, Christopher L. Buckley:
Nonmodular Architectures of Cognitive Systems based on Active Inference. 1-8 - Qichao Zhang, Rui Luo, Dongbin Zhao, Chaomin Luo, Dianwei Qian:
Model-Free Reinforcement Learning based Lateral Control for Lane Keeping. 1-7 - Gerard Jacques van Wyk, Anna Sergeevna Bosman:
Evolutionary Neural Architecture Search for Image Restoration. 1-8 - Na Xiao, Kenli Li, Xu Zhou, Keqin Li:
A Novel Clustering Algorithm based on Directional Propagation of Cluster Labels. 1-8 - Hiroomi Hikawa:
Nested Hardware Architecture for Self-Organizing Map. 1-7 - Ruolin Huang, Hongbin Dong, Guisheng Yin, Qiang Fu:
Ensembling 3D CNN Framework for Video Recognition. 1-7 - Zhicheng Liu, Bao Chen, Bingxue Xiez, Huangping Qiang, Ziqi Zhu:
Feature selection for orthogonal broad learning system based on mutual information. 1-8 - Sara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho:
Clustering interval-valued data with automatic variables weighting. 1-8 - Ryan Van Soelen, John W. Sheppard:
Using Winning Lottery Tickets in Transfer Learning for Convolutional Neural Networks. 1-8 - Lei Liu, Bing Zhang, Shidong Wang, Shuangjie Li, Kaixiang Zhang, Shuqin Wang:
Feature selection based on feature curve of subclass problem. 1-8 - Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Senjian An, Ferdous Sohel:
Coral Classification Using DenseNet and Cross-modality Transfer Learning. 1-8 - Mengyu Zheng, Chuan Zhou, Jia Wu, Li Guo:
Smooth Deep Network Embedding. 1-8 - Qi Zhang, Yan Yang, Chengcai Chen, Liang He, Zhou Yu:
Knowledge Adaptive Neural Network for Natural Language Inference. 1-8 - Yusuke Taguchi, Keisuke Kameyama, Hideitsu Hino:
Active Learning with Interpretable Predictor. 1-8 - Liying Chen, Honglei Zhang, Jun Wu:
Integrating Dual User Network Embedding with Matrix Factorization for Social Recommender Systems∗. 1-8 - Tirthankar Ghosal, Abhishek Shukla, Asif Ekbal, Pushpak Bhattacharyya:
To Comprehend the New: On Measuring the Freshness of a Document. 1-8 - Fábbio A. S. Borges, Ricardo A. L. Rabêlo, Ricardo A. S. Fernandes, M. A. Araújo:
Methodology Based on Adaboost Algorithm Combined with Neural Network for the Location of Voltage Sag Disturbance. 1-7 - Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros:
Fast and Efficient Text Classification with Class-based Embeddings. 1-8 - Tadashi Onishi, Toshiyuki Motoyoshi, Yuki Suga, Hiroki Mori, Tsuya Ogata:
End-to-end Learning Method for Self-Driving Cars with Trajectory Recovery Using a Path-following Function. 1-8 - Nikesh Lama, Alan Hargreaves, Bob Stevens, T. Martin McGinnity:
Transfer Entropy Based Connectivity Estimation of Spontaneously Firing Hippocampal Cultures on Multi Electrode Arrays. 1-8 - Lu Gao, Yuhua Li, Ruixuan Li, Zhenlong Zhu, Xiwu Gu, Olivier Habimana:
ST-RNet: A Time-aware Point-of-interest Recommendation Method based on Neural Network. 1-8 - Linh Nguyen, Tsukasa Ishigaki:
Collaborative Multi-key Learning with an Anonymization Dataset for a Recommender System. 1-9 - Kazi Shah Nawaz Ripon, Lasker Ershad Ali, Nazmul H. Siddique, Jinwen Ma:
Convolutional Neural Network based Eye Recognition from Distantly Acquired Face Images for Human Identification. 1-8 - Stephen Choi, Tyler Renelle:
Deep learning price momentum in US equities. 1-8 - Nan Pu, T. K. Georgiou, Erwin M. Bakker, Michael S. Lew:
Learning a Domain-Invariant Embedding for Unsupervised Person Re-identification. 1-8 - Dmitry A. Konovalov, Alzayat Saleh, Michael Bradley, Mangalam Sankupellay, Simone Marini, Marcus Sheaves:
Underwater Fish Detection with Weak Multi-Domain Supervision. 1-8 - Peng Zhang, Qiang Wu, Jingsong Xu:
VT-GAN: View Transformation GAN for Gait Recognition Across Views. 1-8 - Dawid Polap, Marcin Wozniak:
Bacteria shape classification by the use of region covariance and Convolutional Neural Network. 1-7 - Zhixin Li, Lan Lin, Canlong Zhang, Huifang Ma, Weizhong Zhao:
Automatic Image Annotation based on Co-Training. 1-8 - Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu:
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning. 1-8 - Sandro Cavallari, Soujanya Poria, Erik Cambria, Vincent W. Zheng, Hongyun Cai:
An Attention-Based Model for Learning Dynamic Interaction Networks. 1-8 - Fayeem Aziz, Stephan K. Chalup:
Testing the Robustness of Manifold Learning on Examples of Thinned-Out Data. 1-8 - Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi:
Reduced-Gate Convolutional LSTM Architecture for Next-Frame Video Prediction Using Predictive Coding. 1-9 - Sharan Pai, Anish Bhardwaj:
Eye Gesture Based Communication for People with Motor Disabilities in Developing Nations. 1-8 - Rebecca K. Lee, Alice C. Parker:
An Electronic Neuron with Input-Specific Spiking. 1-8 - Santiago Gonzalez, Joshua Landgraf, Risto Miikkulainen:
Faster Training by Selecting Samples Using Embeddings. 1-7 - Vinicius F. Arruda, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night. 1-8 - Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. 1-8 - João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin:
Additive Margin SincNet for Speaker Recognition. 1-5 - Eduardo C. de Carvalho, Bruno V. Ferreira, Geraldo P. R. Filho, Pedro Henrique Gomes, Gustavo Medeiros Freitas, Patrícia A. Vargas, Jó Ueyama, Gustavo Pessin:
Towards a Smart Fault Tolerant Indoor Localization System Through Recurrent Neural Networks. 1-7 - Daniele Castellana, Davide Bacciu:
Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models. 1-8 - Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky, Mark Elshaw:
Deep Q-Learning for Illumination and Rotation Invariant Face Detection. 1-8 - Di Wu, Ruiqi Hu, Yu Zheng, Jing Jiang, Nabin Sharma, Michael Blumenstein:
Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods. 1-8 - Yanli Yao, Qiang Yu, Longbiao Wang, Jianwu Dang:
A Spiking Neural Network with Distributed Keypoint Encoding for Robust Sound Recognition. 1-8 - Wang Chen, Hai-Tao Zheng, Yang Wang, Wei Wang, Rui Zhang:
Utilizing Generative Adversarial Networks for Recommendation based on Ratings and Reviews. 1-8 - Fangjun Li, Dongfeng Yuan, Mingqiang Zhang, Cong Liang, Xiaotian Zhou, Haixia Zhang:
Multi-scale Stepwise Training Strategy of Convolutional Neural Networks for Diabetic Retinopathy Severity Assessment. 1-5 - Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
In a Spin-Wave Reservoir for Machine Learning. 1-9 - Tao Jiang, Jiahai Wang, Youwei Song, Yanghui Rao:
A Position-aware Transformation Network for Aspect-level Sentiment Classification. 1-8 - Chenghuan Liu, Du Q. Huynh, Mark Reynolds:
Urban Area Vehicle Re-Identification With Self-Attention Stair Feature Fusion and Temporal Bayesian Re-Ranking. 1-8 - Rafael Garcia, Alexandre Xavier Falcão, Alexandru C. Telea, Bruno Castro da Silva, Jim Tørresen, João Luiz Dihl Comba:
A Methodology for Neural Network Architectural Tuning Using Activation Occurrence Maps. 1-10 - Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo:
Keystroke Analysis for User Identification using Deep Neural Networks. 1-8 - Xintong Yu, Tszhang Guo, Kun Fu, Lei Li, Changshui Zhang, Jianwei Zhang:
Image Captioning with Partially Rewarded Imitation Learning. 1-8 - Sibao Chen, Chao Hu, Bin Luo, Chris H. Q. Ding, Shilei Huang:
Pyramid Attention Dense Network for Image Super-Resolution. 1-8 - Richard McAllister, John Sheppard:
Exploring Transferability in Deep Neural Networks with Functional Data Analysis and Spatial Statistics. 1-10 - Jessica Sharmin Rahman, Tom Gedeon, Sabrina B. Caldwell, Richard Jones, Md. Zakir Hossain, Xuanying Zhu:
Melodious Micro-frissons: Detecting Music Genres From Skin Response. 1-8 - Chris Yakopcic, B. Rasitha Fernando, Tarek M. Taha:
Design Space Evaluation of a Memristor Crossbar Based Multilayer Perceptron for Image Processing. 1-8 - Homin Park, Homanga Bharadhwaj, Brian Y. Lim:
Hierarchical Multi-Task Learning for Healthy Drink Classification. 1-8 - Samuele Tosatto, Carlo D'Eramo, Joni Pajarinen, Marcello Restelli, Jan Peters:
Exploration Driven by an Optimistic Bellman Equation. 1-8 - Lili Cui, Wei Qu, Li Wang, Yanhong Luo, Zhanshan Wang:
Event-Triggered H∞ Tracking Control of Nonlinear Systems via Reinforcement Learning Method. 1-8 - Nurilla Avazov, Jiamou Liu, Bakhadyr Khoussainov:
Periodic Neural Networks for Multivariate Time Series Analysis and Forecasting. 1-8 - Zoltán Ádám Milacski, Barnabás Póczos, András Lörincz:
Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification. 1-10 - Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Autoregressive Models for Sequences of Graphs. 1-8 - Yifei Hu, Vincent C. S. Lee, Kenneth Tan:
An Application of Convolutional Neural Networks for the Early Detection of Late-onset Neonatal Sepsis. 1-8 - Nikhil Chawla, Arvind Singh, Monodeep Kar, Saibal Mukhopadhyay:
Application Inference using Machine Learning based Side Channel Analysis. 1-8 - Ryosuke Tanaka, Jinseok Woo, Naoyuki Kubota:
Action Acquisition Method for Constructing Cognitive Development System Through Instructed Learning. 1-6 - Itay Mosafi, Eli (Omid) David, Nathan S. Netanyahu:
Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data. 1-8 - Pradyumna Narayana, J. Ross Beveridge, Bruce A. Draper:
Analyzing Multi-Channel Networks for Gesture Recognition. 1-8 - Hui Zhang, Yonglin Tian, Kunfeng Wang, Haibo He, Fei-Yue Wang:
Synthetic-to-Real Domain Adaptation for Object Instance Segmentation. 1-7 - Yi-Ling Liu, Alessio Lomuscio:
An MCTS-based Adversarial Training Method for Image Recognition. 1-8 - Qinyi Zhang, Shishuai Du, Huihua Yang:
An End-to-End Location and Regression Tracker with Attention-based Fused Features. 1-7 - Ivan Donadello, Luciano Serafini:
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation. 1-8 - Liming Wang, Yongliang Yang, Dawei Ding, Yixin Yin, Zhishan Guo, Donald C. Wunsch:
Model-Free Temporal Difference Learning for Non-Zero-Sum Games. 1-6 - Mingwei Yao, Hongyan Quan:
End-to-end Network for Monocular Visual Odometry Based on Image Sequence. 1-6 - Lucas C. Possatti, Ranik Guidolini, Vinicius B. Cardoso, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars. 1-8 - Márton Véges, András Lorincz:
Absolute Human Pose Estimation with Depth Prediction Network. 1-7 - Oleg A. Kuzenkov, Andrew Morozov, Galina Kuzenkova:
Recognition of patterns of optimal diel vertical migration of zooplankton using neural networks. 1-6 - Tong Liu, Shan Liang, Sheng Chen, Chris J. Harris:
A Multiple Local Model Learning for Nonlinear and Time-Varying Microwave Heating Process. 1-8 - Xiaohao He, Huijun Zhang, Ningyun Li, Ling Feng, Feng Zheng:
A Multi-Attentive Pyramidal Model for Visual Sentiment Analysis. 1-8 - Haiyang Wei, Zhixin Li, Canlong Zhang, Tao Zhou, Yu Quan:
Image Captioning Based On Sentence-Level And Word-Level Attention. 1-8 - Minsam Kim, James T. Kwok:
Dynamic Unit Surgery for Deep Neural Network Compression and Acceleration. 1-8 - Chenggong Zhang, Weijuan Zhang, Daren Zha, Pengjie Ren, Nan Mu:
A Multi-granularity Neural Network for Answer Sentence Selection. 1-7 - Jiamei Sun, Alexander Binder:
Generalized PatternAttribution for Neural Networks with Sigmoid Activations. 1-9 - Yan-Jie Zhou, Xiaoliang Xie, Gui-Bin Bian, Zeng-Guang Hou, Yu-Dong Wu, Shi-Qi Liu, Xiao-Hu Zhou, Jiaxing Wang:
Fully Automatic Dual-Guidewire Segmentation for Coronary Bifurcation Lesion. 1-6 - Canlin Zhang, Xiuwen Liu, Daniel Bis:
An Analysis on the Learning Rules of the Skip-Gram Model. 1-8 - Fan Zhu, Min Jiang, Yiming Qiu, Chenglong Sun, Min Wang:
RSLIME: An Efficient Feature Importance Analysis Approach for Industrial Recommendation Systems. 1-6 - Jacek Mandziuk, Jakub Suchan:
Who should bid higher, NS or WE, in a given Bridge dealƒ. 1-8 - Juan L. Castro-Garcia, Juyang Weng:
Emergent Multilingual Language Acquisition Using Developmental Networks. 1-8 - Vladimir Cherkassky, Hsiang-Han Chen, Han-Tai Shiao:
Group Learning for High-Dimensional Sparse Data. 1-10 - Malte Schilling:
Setup of a Recurrent Neural Network as a Body Model for Solving Inverse and Forward Kinematics as well as Dynamics for a Redundant Manipulator. 1-8 - Mingyang Yu, Zhigang Chang, Qin Zhou, Shibao Zheng, Tai-Pang Wu:
Reference-oriented Loss for Person Re-identification. 1-8 - Wakana Nogami, Tsutomu Ikegami, Shin-ichi O'Uchi, Ryousei Takano, Tomohiro Kudoh:
Optimizing Weight Value Quantization for CNN Inference. 1-8 - Guillermo López-García, José M. Jerez, Daniel Urda, Francisco J. Veredas:
MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins. 1-8 - Sathiya Narayan Chakravarthy, Himanshu Singhal, Narasimha Yadav R. P.:
DR-NET: A Stacked Convolutional Classifier Framework for Detection of Diabetic Retinopathy. 1-7 - Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri:
Boosted GAN with Semantically Interpretable Information for Image Inpainting. 1-8 - Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao:
Graph Convolutional Networks with Structural Attention Model for Aspect Based Sentiment Analysis. 1-7 - Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Antoine Marot:
Graph Neural Solver for Power Systems. 1-8 - Jyoti Maggu, Angshul Majumdar:
Supervised Kernel Transform Learning. 1-8 - Qing-Long Zhang, Lu Rao, Yubin Yang:
DGFFM: Generalized Field-aware Factorization Machine based on DenseNet. 1-8 - Shuyi Qu, Kaizhu Huang, Amir Hussain, Yannis Goulermas:
MPSSD: Multi-Path Fusion Single Shot Detector. 1-6 - Tayfun Alpay, Stefan Heinrich, Michael Nelskamp, Stefan Wermter:
Question Answering with Hierarchical Attention Networks. 1-8 - Alexander Makarenko:
Multiple-Valued Artificial Neural Networks. 1-6 - Hojung Lee, Jong-Seok Lee:
Local Critic Training of Deep Neural Networks. 1-8 - Xiaoyu Hu, Yijie Wang, Li Cheng:
Multi-Hierarchy Attribute Relationship Mining Based Outlier Detection for Categorical Data. 1-8 - Licheng Shen, Yan Yang:
SE-GAN: A Swap Ensemble GAN Framework. 1-8 - Ajinkya Gorad, Vivek Saraswat, Udayan Ganguly:
Predicting Performance using Approximate State Space Model for Liquid State Machines. 1-8 - Abhishek Kumar, Asif Ekbal, Daisuke Kawahara, Sadao Kurohashi:
Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis. 1-8 - Qianqian Xie, Min Peng, Jimin Huang, Bin Wang, Hua Wang:
Discriminative Regularization with Conditional Generative Adversarial Nets for Semi-Supervised Learning. 1-8 - Burhan Ahmad Mudassar, Saibal Mukhopadhyay:
FocalNet - Foveal Attention for Post-processing DNN Outputs. 1-8