| Human attention maps for text classification: Do humans and neural networks focus on the same words? C Sen, T Hartvigsen, B Yin, X Kong, E Rundensteiner Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 61* | 2020 |
| Corrosion Image Data Set for Automating Scientific Assessment of Materials. B Yin, N Josselyn, TA Considine, JV Kelley, B Rinderspacher, RE Jensen, ... BMVC, 102, 2021 | 12 | 2021 |
| Corrosion assessment: Data mining for quantifying associations between indoor accelerated and outdoor natural tests B Yin, TA Considine, F Emdad, JV Kelley, RE Jensen, EA Rundensteiner 2020 IEEE International Conference on Big Data (Big Data), 2929-2936, 2020 | 4 | 2020 |
| Observing personalizations in learning: Identifying heterogeneous treatment effects using causal trees B Yin, T Patikorn, AF Botelho, NT Heffernan Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 299-302, 2017 | 4 | 2017 |
| Assistments dataset for a data mining competition to improve personalized learning T Patikorn, D Selent, N Heffernan, B Yin, AF Botelho CodeCon 2016, MIT, MA, 2016 | 2 | 2016 |
| Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation N Josselyn, B Yin, T Considine, J Kelley, B Rinderspacher, R Jensen, ... 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 1 | 2022 |
| Simulating Castable Aluminum Alloy Microstructures with AlloyGAN Deep Learning Model B Yin, Y Fan TMS 2024 Conference Proceedings, 2024 | | 2024 |
| DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses B Yin, N Josselyn, T Considine, J Kelley, B Rinderspacher, R Jensen, ... 22nd IEEE International Conference on Machine Learning and Applications …, 2023 | | 2023 |
| AlloyGAN: Domain-Promptable Generative Adversarial Network for Generating Aluminum Alloy Microstructures B Yin, Y Fan, N Josselyn, E Rundensteiner 22nd IEEE International Conference on Machine Learning and Applications …, 2023 | | 2023 |
| MOSS: AI Platform for Discovery of Corrosion-Resistant Materials B Yin, N Josselyn, Z Zhang, EA Rundensteiner, TA Considine, JV Kelley, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| MIL-PRF 32662 Context-Aware Agile Platform R Jensen, K Brady, P Parvatharaju, B Yin, F Emdad, E Rundensteiner | | 2023 |
| An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations? N Josselyn, B Yin, Z Zhang, E Rundensteiner 2022 IEEE International Conference on Big Data (Big Data), 5504-5513, 2022 | | 2022 |
| Automatic Discriminant Analysis of Graphic Problems Based on Tracked Points (Patent issued in 2022) F Xu, B Yin, Y Li, H Liang, X Li, Z Ling CN Patent CN201811352610.2 A, 2019 | | 2019 |
| Using "Snapshots" of Student Performance to Model Wheel Spinning JE Adjei, S. A., Botelho, A. F., Patikorn, T., Yin, B., & Beck In the Tenth International Conference on Educational Data Mining, 2017 | | 2017 |
| 大数据时代背景下统计学学科的应对 孙欣， 尹彪 统计与决策, 2017 | | 2017 |
| Causal Forest vs. Naïve Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments B Yin, AF Botelho, T Patikorn, NT Heffernan, J Zou In the Tenth International Conference on Educational Data Mining, 2017 | | 2017 |
| [In submission] Corrosion Regression using Self-Supervised Learning YB et al | | |
| Enhanced Corrosion Data Analysis RE Considine, T., Jensen R., Josselyn N., Yin, B., Zhang Z. ASM Handbook AI for Materials, 4f, 0 | | |
| Automatic Corrosion Assessment Platform ER Tom Considine, Rob Jensen, Nick Josselyn, Biao Yin, Ziming Zhang ARL Tech Report, 0 | | |
| [In submission] Learning to Adapt Deep Corrosion Assessment Models from Indoor to Outdoor Image Domains J Josselyn, N., Yin, B., Zhang, Z., Rundensteiner, E., Considine, T., Kelley ... | | |
Elke RundensteinerThe William Smith Dean's Professor, Computer Science; Founding Head, Data Science Program; WorcesterVerified email at wpi.edu
