| A machine-learning-enhanced hierarchical multiscale method for bridging from molecular dynamics to continua S Xiao, R Hu, Z Li, S Attarian, KM Björk, A Lendasse Neural Computing and Applications 32, 14359-14373, 2020 | 28 | 2020 |
| A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare T Kosolwattana, C Liu, R Hu, S Han, H Chen, Y Lin BioData Mining 16 (1), 15, 2023 | 20 | 2023 |
| A modified Lanczos Algorithm for fast regularization of extreme learning machines R Hu, E Ratner, D Stewart, KM Björk, A Lendasse Neurocomputing 414, 172-181, 2020 | 19 | 2020 |
| ELM-SOM+: A continuous mapping for visualization R Hu, K Ratner, E Ratner, Y Miche, KM Björk, A Lendasse Neurocomputing 365, 147-156, 2019 | 15 | 2019 |
| ELM-SOM: a continuous self-organizing map for visualization R Hu, V Roshdibenam, HJ Johnson, E Eirola, A Akusok, Y Miche, ... 2018 international joint conference on neural Networks (IJCNN), 1-8, 2018 | 10 | 2018 |
| Deformable surface registration with extreme learning machines A Gritsenko, Z Sun, S Baek, Y Miche, R Hu, A Lendasse Proceedings of ELM-2017, 304-316, 2019 | 8 | 2019 |
| Handwriting features based detection of fake signatures A Akusok, L Espinosa Leal, KM Björk, A Lendasse, R Hu Proceedings of the 14th PErvasive Technologies Related to Assistive …, 2021 | 5 | 2021 |
| Spiking networks for improved cognitive abilities of edge computing devices A Akusok, KM Björk, LE Leal, Y Miche, R Hu, A Lendasse Proceedings of the 12th ACM International Conference on PErvasive …, 2019 | 4 | 2019 |
| Native interaction experience for computational maps with mobile devices A Akusok, L Espinosa Leal, KM Björk, R Hu Proceedings of the 16th International Conference on PErvasive Technologies …, 2023 | 1 | 2023 |
| Using machine learning to identify top predictors for nurses’ willingness to report medication errors R Hu, A Farag, KM Björk, A Lendasse Array 8, 100049, 2020 | 1 | 2020 |
| Random neural networks for dimensionality reduction and regularized supervised learning R Hu The University of Iowa, 2019 | 1 | 2019 |
| Data-enabled computational multiscale method in materials science and engineering S Xiao, A Lendasse, R Hu 2018 International Conference on Computational Science and Computational …, 2018 | 1 | 2018 |
| Does Streaming Affect Video Game Popularity? Z Li, L Espinosa-Leal, M Olmedilla, R Hu, KM Börk International Conference on Extreme Learning Machine, 37-45, 2022 | | 2022 |
| Massive Offline Signature Forgery Detection with Extreme Learning Machines L Espinosa-Leal, Z Li, R Hu, KM Björk International Conference on Extreme Learning Machine, 9-15, 2022 | | 2022 |
| Method and apparatus for rapid inspection of subcomponents of manufactured component ER Ratner, HU Renjie US Patent 11,521,309, 2022 | | 2022 |
| A Multi-ELM Model for Incomplete Data. B Chi, A Lendasse, ER Ratner, R Hu ESANN, 2021 | | 2021 |
| ELM Feature Selection and SOM Data Visualization for Nursing Survey Datasets R Hu, A Farag, KM Björk, A Lendasse Proceedings of ELM2019 9, 99-108, 2021 | | 2021 |
| A Adachi, Masaharu, 58 Akusok, Anton, 181, 203, 240 An, Yuexuan, 172 B Baek, Stephen, 304 UB Baloglu, D Cui, A Gritsenko, CG Gu, H Guo, T Guo, W Han, Y Han, ... Proceedings of ELM-2017 10, 339, 2018 | | 2018 |
