ANN Hybrid Ensemble Learning Strategy in 3D Object Recognition and Pose Estimation Based on Similarity. - Rui Nian; Guangrong Ji; Wencang Zhao; Chen Feng (ICIC (1), 2005)

The Prediction of the Financial Time Series Based on Correlation Dimension. - Chen Feng; Guangrong Ji; Wencang Zhao; Rui Nian (ICNC (1), 2005)

ANN Ensemble Online Learning Strategy in 3D Object Cognition and Recognition Based on Similarity. - Rui Nian; Guangrong Ji; Wencang Zhao; Chen Feng (ICNC (1), 2005)

Probabilistic 3D object recognition from 2D invariant view sequence based on similarity. - Rui Nian; Guangrong Ji; Wencang Zhao; Chen Feng (Neurocomputing, 2007)

An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis. - Rui Nian; Guangrong Ji; Michel Verleysen (FSKD (2), 2008)

An Alternative to Center-Based Clustering Algorithm Via Statistical Learning Analysis. - Rui Nian; Guangrong Ji; Michel Verleysen (ICIC (2), 2008)

Fast variable selection for memetracker phrases time series prediction. - Yoan Miche; Tatiana Chistiakova; Anton Akusok; Amaury Lendasse; Rui Nian; Alberto Guillén (PETRA, 2012)

AUV SLAM and Experiments Using a Mechanical Scanning Forward-Looking Sonar. - Bo He 002; Yan Liang; Xiao Feng; Rui Nian; Tianhong Yan; Minghui Li; Shujing Zhang (Sensors, 2012)

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 004; Kuan Li; Victor C. M. Leung; Liang Feng 001; et al. (IEEE Intell. Syst., 2013)

3D object recognition based on a geometrical topology model and extreme learning machine. - Rui Nian; Bo He 002; Amaury Lendasse (Neural Comput. Appl., 2013)

An Early Underwater Artificial Vision Model in Ocean Investigations via Independent Component Analysis. - Rui Nian; Fang Liu; Bo He 002 (Sensors, 2013)

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)

Fast Face Recognition Via Sparse Coding and Extreme Learning Machine. - Bo He 002; Dongxun Xu; Rui Nian; Mark van Heeswijk; Qi Yu 004; Yoan Miche; Amaury Lendasse (Cogn. Comput., 2014)

Fast Image Recognition Based on Independent Component Analysis and Extreme Learning Machine. - Shujing Zhang; Bo He 002; Rui Nian; Jing Wang 059; Bo Han 006; Amaury Lendasse; Guang Yuan (Cogn. Comput., 2014)

Robust OS-ELM with a novel selective ensemble based on particle swarm optimization. - Yang Liu; Bo He 002; Diya Dong; Yue Shen; Tianhong Yan; Rui Nian; Amaury Lendasse (CoRR, 2014)

Extreme learning machine towards dynamic model hypothesis in fish ethology research. - Rui Nian; Bo He 002; Bing Zheng; Mark van Heeswijk; Qi Yu 004; Yoan Miche; Amaury Lendasse (Neurocomputing, 2014)

Ensemble delta test-extreme learning machine (DT-ELM) for regression. - Qi Yu 004; Mark van Heeswijk; Yoan Miche; Rui Nian; Bo He 002; Eric Séverin; Amaury Lendasse (Neurocomputing, 2014)

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 002; Amaury Lendasse (IWANN (2), 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)

LARSEN-ELM: Selective ensemble of extreme learning machines using LARS for blended data. - Bo Han 006; Bo He 002; Rui Nian; Mengmeng Ma 001; Shujing Zhang; Minghui Li; Amaury Lendasse (Neurocomputing, 2015)

Simultaneous Localization and Mapping with Iterative Sparse Extended Information Filter for Autonomous Vehicles. - Bo He 002; Yang Liu; Diya Dong; Yue Shen; Tianhong Yan; Rui Nian (Sensors, 2015)

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)

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)

Manifold learning in local tangent space via extreme learning machine. - Qian Wang; Weiguo Wang; Rui Nian; Bo He 002; Yue Shen; Kaj-Mikael Björk; Amaury Lendasse (Neurocomputing, 2016)

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)

A pruning ensemble model of extreme learning machine with L1/2 regularizer. - Bo He 002; Tingting Sun; Tianhong Yan; Yue Shen; Rui Nian (Multidimens. Syst. Signal Process., 2017)

Gaussian derivative models and ensemble extreme learning machine for texture image classification. - Yan Song; Shujing Zhang; Bo He 002; Qixin Sha; Yue Shen; Tianhong Yan; Rui Nian; Amaury Lendasse (Neurocomputing, 2018)

Local receptive fields based extreme learning machine with hybrid filter kernels for image classification. - Bo He 002; Yan Song; Yuemei Zhu; Qixin Sha; Yue Shen; Tianhong Yan; Rui Nian; Amaury Lendasse (Multidimens. Syst. Signal Process., 2019)

A review On reinforcement learning: Introduction and applications in industrial process control. - Rui Nian; Jinfeng Liu 001; Biao Huang 001 (Comput. Chem. Eng., 2020)

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 002; Xishuang Li (Sensors, 2021)

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)