| 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 | 93 | 2023 |
| 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 (18), 14359-14373, 2020 | 47 | 2020 |
| 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 | 20 | 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 | 14 | 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 |
| Chronic rhinosinusitis and mental health NS Khan, M Gajula, L Goehring, M Takashima, A Dhanda, TA Syed, ... JAMA Otolaryngology–Head & Neck Surgery 150 (11), 943-951, 2024 | 9 | 2024 |
| Deformable surface registration with extreme learning machines A Gritsenko, Z Sun, S Baek, Y Miche, R Hu, A Lendasse International conference on Extreme learning machine, 304-316, 2017 | 8 | 2017 |
| 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 | 7 | 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 | 5 | 2019 |
| MVMD: A Multi-View Approach for Enhanced Mirror Detection Y Shen, Y Wen, C Zhang, X Fu, R Hu 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2025 | 2 | 2025 |
| 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 | 2 | 2020 |
| 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 |
| 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 |
| The Associative Impact of Recreational Cannabis Use on Sinonasal Diseases Z Mehdi, H Majeethia, JMR Dwarampudi, AK Dhanda, M Gajula, ... Laryngoscope Investigative Otolaryngology 10 (5), e70261, 2025 | | 2025 |
| Synthetic data-driven hybrid deep learning methodology for predicting remaining useful life of sensors in downhole drilling equipment J Alvarez, K Yared, A Lewis, I Aviles, AB Shah, Y Wen, J Chen, X Wu, ... Unconventional Resources Technology Conference, 9–11 June 2025, 3111-3122, 2025 | | 2025 |
| NeuroMoE: A Transformer-Based Mixture-of-Experts Framework for Multi-Modal Neurological Disorder Classification WH Raza, AB Shah, Y Wen, Y Shen, JDM Lemus, MC Schiess, ... arXiv preprint arXiv:2506.14970, 2025 | | 2025 |
| Detecting Black-box Model Probing Attacks Through Probability Scores Y Wang, A Habib, LR Kesara, B Jasti, R Hu, T Singh IEEE Access, 2025 | | 2025 |
| Structural MRI Predicts Pre-DBS Neurocognitive Scores in Parkinson’s Disease Patients (S32. 008) MS Firme, J dwarampudi, R Hu, T Banerjee, J Wong Neurology 104 (7_Supplement_1), 5764, 2025 | | 2025 |
| A Two-Stage Approach for Implicit Bias Detection in Generative Language Models J Edwards, R Hu, A Lendasse, A Schlager, P Lindner European Symposium on Artificial Neural Networks, Computational Intelligence …, 2024 | | 2024 |
