Rui Nian

According to our database, Rui Nian authored at least 31 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation.

Rui Nian, Guoyao Zhang, Yao Sui, Yuqi Qian, Qiuying Li, Mingzhang Zhao, Jianhui Li, Ali Gholipour, Simon K. Warfield

CoRR, 2023

2021

Towards Characterizing and Developing Formation and Migration Cues in Seafloor Sand Waves on Topology, Morphology, Evolution from High-Resolution Mapping via Side-Scan Sonar in Autonomous Underwater Vehicles.

Rui Nian, Lina Zang, Xue Geng, Fei Yu, Shidong Ren, Bo He, Xishuang Li

Sensors, 2021

2020

A review On reinforcement learning: Introduction and applications in industrial process control.

Rui Nian, Jinfeng Liu, Biao Huang

Comput. Chem. Eng., 2020

2019

Local receptive fields based extreme learning machine with hybrid filter kernels for image classification.

Bo He, Yan Song, Yuemei Zhu, Qixin Sha, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse

Multidimens. Syst. Signal Process., 2019

2018

Gaussian derivative models and ensemble extreme learning machine for texture image classification.

Yan Song, Shujing Zhang, Bo He, Qixin Sha, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse

Neurocomputing, 2018

2017

A pruning ensemble model of extreme learning machine with L_1/2 regularizer.

Bo He, Tingting Sun, Tianhong Yan, Yue Shen, Rui Nian

Multidimens. Syst. Signal Process., 2017

Adding reliability to ELM forecasts by confidence intervals.

Anton Akusok, Andrey Gritsenko, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse

Neurocomputing, 2017

2016

Manifold learning in local tangent space via extreme learning machine.

Qian Wang, Weiguo Wang, Rui Nian, Bo He, Yue Shen, Kaj-Mikael Björk, Amaury Lendasse

Neurocomputing, 2016

Extreme learning machine for missing data using multiple imputations.

Dusan Sovilj, Emil Eirola, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Anton Akusok, Amaury Lendasse

Neurocomputing, 2016

ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines.

Anton Akusok, Stephen Baek, Yoan Miché, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse

Neurocomputing, 2016

2015

Simultaneous Localization and Mapping with Iterative Sparse Extended Information Filter for Autonomous Vehicles.

Bo He, Yang Liu, Diya Dong, Yue Shen, Tianhong Yan, Rui Nian

Sensors, 2015

LARSEN-ELM: Selective ensemble of extreme learning machines using LARS for blended data.

Bo Han, Bo He, Rui Nian, Mengmeng Ma, Shujing Zhang, Minghui Li, Amaury Lendasse

Neurocomputing, 2015

Arbitrary Category Classification of Websites Based on Image Content.

Anton Akusok, Yoan Miche, Juha Karhunen, Kaj-Mikael Björk, Rui Nian, Amaury Lendasse

IEEE Comput. Intell. Mag., 2015

Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models.

Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Björk, Yoan Miche, Dusan Sovilj, Rui Nian, Bo He, Amaury Lendasse

Proceedings of the Advances in Computational Intelligence, 2015

2014

Ensemble delta test-extreme learning machine (DT-ELM) for regression.

Qi Yu, Mark van Heeswijk, Yoan Miche, Rui Nian, Bo He, Eric Séverin, Amaury Lendasse

Neurocomputing, 2014

Extreme learning machine towards dynamic model hypothesis in fish ethology research.

Rui Nian, Bo He, Bing Zheng, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse

Neurocomputing, 2014

Robust OS-ELM with a novel selective ensemble based on particle swarm optimization.

Yang Liu, Bo He, Diya Dong, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse

CoRR, 2014

Fast Image Recognition Based on Independent Component Analysis and Extreme Learning Machine.

Shujing Zhang, Bo He, Rui Nian, Jing Wang, Bo Han, Amaury Lendasse, Guang Yuan

Cogn. Comput., 2014

Fast Face Recognition Via Sparse Coding and Extreme Learning Machine.

Bo He, Dongxun Xu, Rui Nian, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse

Cogn. Comput., 2014

A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification.

Anton Akusok, Yoan Miche, Jozsef Hegedus, Rui Nian, Amaury Lendasse

Cogn. Comput., 2014

2013

An Early Underwater Artificial Vision Model in Ocean Investigations <i>via</i> Independent Component Analysis.

Rui Nian, Fang Liu, Bo He

Sensors, 2013

3D object recognition based on a geometrical topology model and extreme learning machine.

Rui Nian, Bo He, Amaury Lendasse

Neural Comput. Appl., 2013

Extreme Learning Machines.

Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu

IEEE Intell. Syst., 2013

2012

AUV SLAM and Experiments Using a Mechanical Scanning Forward-Looking Sonar.

Bo He, Yan Liang, Xiao Feng, Rui Nian, Tianhong Yan, Minghui Li, Shujing Zhang

Sensors, 2012

Fast variable selection for memetracker phrases time series prediction.

Yoan Miche, Tatiana Chistiakova, Anton Akusok, Amaury Lendasse, Rui Nian, Alberto Guillén

Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012

2008

An Alternative to Center-Based Clustering Algorithm Via Statistical Learning Analysis.

Rui Nian, Guangrong Ji, Michel Verleysen

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis.

Rui Nian, Guangrong Ji, Michel Verleysen

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007

Probabilistic 3D object recognition from 2D invariant view sequence based on similarity.

Rui Nian, Guangrong Ji, Wencang Zhao, Chen Feng

Neurocomputing, 2007

2005

ANN Ensemble Online Learning Strategy in 3D Object Cognition and Recognition Based on Similarity.

Rui Nian, Guangrong Ji, Wencang Zhao, Chen Feng

Proceedings of the Advances in Natural Computation, First International Conference, 2005

The Prediction of the Financial Time Series Based on Correlation Dimension.

Chen Feng, Guangrong Ji, Wencang Zhao, Rui Nian

Proceedings of the Advances in Natural Computation, First International Conference, 2005

ANN Hybrid Ensemble Learning Strategy in 3D Object Recognition and Pose Estimation Based on Similarity.

Rui Nian, Guangrong Ji, Wencang Zhao, Chen Feng

Proceedings of the Advances in Intelligent Computing, 2005