| SMARTBUS: A web application for smart urban mobility and transportation S Ram, Y Wang, F Currim, F Dong, E Dantas, LA Sabóia Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 36 | 2016 |
| Comparison of three face recognition algorithms C Zhang, Z Zhou, H Sun, F Dong 2012 International Conference on Systems and Informatics (ICSAI2012), 1896-1900, 2012 | 26 | 2012 |
| Parallelization of elastic bunch graph matching (EBGM) algorithm for fast face recognition X Chen, C Zhang, F Dong, Z Zhou 2013 IEEE China Summit and International Conference on Signal and …, 2013 | 15 | 2013 |
| Deep learning models for predicting gas adsorption capacity of nanomaterials W Guo, J Liu, F Dong, R Chen, J Das, W Ge, X Xu, H Hong Nanomaterials 12 (19), 3376, 2022 | 14 | 2022 |
| Smartbike: Policy making and decision support for bike share systems S Ram, F Dong, F Currim, Y Wang, E Dantas, LA Sabóia 2016 IEEE International Smart Cities Conference (ISC2), 1-6, 2016 | 12 | 2016 |
| Machine learning models for rat multigeneration reproductive toxicity prediction J Liu, W Guo, F Dong, J Aungst, S Fitzpatrick, TA Patterson, H Hong Frontiers in Pharmacology 13, 1018226, 2022 | 7 | 2022 |
| Review of machine learning and deep learning models for toxicity prediction W Guo, J Liu, F Dong, M Song, Z Li, MKH Khan, TA Patterson, H Hong Experimental Biology and Medicine 248 (21), 1952-1973, 2023 | 5 | 2023 |
| Machine learning and deep learning for brain tumor MRI image segmentation MKH Khan, W Guo, J Liu, F Dong, Z Li, TA Patterson, H Hong Experimental Biology and Medicine 248 (21), 1974-1992, 2023 | 4 | 2023 |
| Three-Dimensional Structural Insights Have Revealed the Distinct Binding Interactions of Agonists, Partial Agonists, and Antagonists with the µ Opioid Receptor Z Li, J Liu, F Dong, N Chang, R Huang, M Xia, TA Patterson, H Hong International Journal of Molecular Sciences 24 (8), 7042, 2023 | 3 | 2023 |
| Sensor Network for Real-time In-situ Seismic Tomography. L Shi, WZ Song, F Dong, G Kamath IoTBD, 118-128, 2016 | 3 | 2016 |
| Machine Learning for Predicting Organ Toxicity J Liu, W Guo, F Dong, TA Patterson, H Hong Machine Learning and Deep Learning in Computational Toxicology, 519-537, 2023 | 1 | 2023 |
| BERT-based language model for accurate drug adverse event extraction from social media: implementation, evaluation, and contributions to pharmacovigilance practices F Dong, W Guo, J Liu, TA Patterson, H Hong Frontiers in Public Health 12, 1392180, 2024 | | 2024 |
| Decision forest—a machine learning algorithm for QSAR modeling H Hong, J Liu, W Guo, F Dong, M Lee, L Xu, Z Li, M Song, M Chen, W Zou, ... QSAR in Safety Evaluation and Risk Assessment, 35-48, 2024 | | 2024 |
| QSAR models for predicting in vivo reproductive toxicity J Liu, F Dong, W Guo, Z Li, L Xu, M Song, TA Patterson, H Hong QSAR in Safety Evaluation and Risk Assessment, 315-327, 2024 | | 2024 |
| EADB—A database providing curated data for developing QSAR models to facilitate the assessment of endocrine activity F Dong, W Guo, J Liu, L Xu, M Lee, M Song, Z Li, TA Patterson, H Hong QSAR in Safety Evaluation and Risk Assessment, 259-272, 2024 | | 2024 |
| Machine Learning for Predicting Gas Adsorption Capacities of Metal Organic Framework W Guo, J Liu, F Dong, TA Patterson, H Hong Machine Learning and Deep Learning in Computational Toxicology, 629-654, 2023 | | 2023 |
| Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials. Nanomaterials 2022, 12, 3376 W Guo, J Liu, F Dong, R Chen, J Das, W Ge, X Xu, H Hong s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
