| MediBoost: a patient stratification tool for interpretable decision making in the era of precision medicine G Valdes, JM Luna, E Eaton, CB Simone, LH Ungar, TD Solberg Scientific reports 6 (1), 37854, 2016 | 121 | 2016 |
| Expert-augmented machine learning ED Gennatas, JH Friedman, LH Ungar, R Pirracchio, E Eaton, ... Proceedings of the National Academy of Sciences 117 (9), 4571-4577, 2020 | 115 | 2020 |
| Autonomous cross-domain knowledge transfer in lifelong policy gradient reinforcement learning HB Ammar, E Eaton, JM Luna, P Ruvolo Twenty-fourth international joint conference on artificial intelligence, 2015 | 100 | 2015 |
| Predicting radiation pneumonitis in locally advanced stage II–III non-small cell lung cancer using machine learning JM Luna, HH Chao, ES Diffenderfer, G Valdes, C Chinniah, G Ma, ... Radiotherapy and Oncology 133, 106-112, 2019 | 85 | 2019 |
| Building more accurate decision trees with the additive tree JM Luna, ED Gennatas, LH Ungar, E Eaton, ES Diffenderfer, ST Jensen, ... PNAS, 2019 | 79 | 2019 |
| An adaptive coverage control algorithm for deployment of nonholonomic mobile sensors JM Luna, R Fierro, CT Abdallah, J Wood IEEE Conference on Decision and Control (CDC), 1250, 2010 | 32 | 2010 |
| An adaptive coverage control for deployment of nonholonomic mobile sensor networks over time‐varying sensory functions JM Luna, R Fierro, CT Abdallah, J Wood Asian Journal of Control 15 (4), 988-1000, 2013 | 18 | 2013 |
| Exploratory analysis using machine learning to predict for chest wall pain in patients with stage I non‐small‐cell lung cancer treated with stereotactic body radiation therapy HH Chao, G Valdes, JM Luna, M Heskel, AT Berman, TD Solberg, ... Journal of applied clinical medical physics 19 (5), 539-546, 2018 | 15 | 2018 |
| Control in computing systems. JM Luna, CT Abdallah CACSD, 32-36, 2011 | 14* | 2011 |
| Design of a low-cost platform for autonomous mobile service robots E Eaton, C Mucchiani, M Mohan, D Isele, JM Luna, C Clingerman IJCAI workshop on autonomous mobile service robots, 2016 | 13 | 2016 |
| Impact of interobserver variability in manual segmentation of non-small cell lung cancer (NSCLC) applying low-rank radiomic representation on computed tomography M Hershman, B Yousefi, L Serletti, M Galperin-Aizenberg, L Roshkovan, ... Cancers 13 (23), 5985, 2021 | 12 | 2021 |
| Lifelong learning for disturbance rejection on mobile robots D Isele, JM Luna, E Eaton, GV de la Cruz, J Irwin, B Kallaher, ME Taylor 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 12 | 2016 |
| Multi-vehicle testbed for decentralized environmental sensing RA Cortez, JM Luna, R Fierro, J Wood 2010 IEEE International Conference on Robotics and Automation, 3052-3058, 2010 | 12 | 2010 |
| Machine learning highlights the deficiency of conventional dosimetric constraints for prevention of high-grade radiation esophagitis in non-small cell lung cancer treated with … JM Luna, HH Chao, RT Shinohara, LH Ungar, KA Cengel, DA Pryma, ... Clinical and Translational Radiation Oncology 22, 69-75, 2020 | 11 | 2020 |
| Development of a robust radiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first-line immunotherapy A Singh, H Horng, L Roshkovan, JK Weeks, M Hershman, P Noël, ... Scientific reports 12 (1), 9993, 2022 | 10 | 2022 |
| Radiomic phenotypes for improving early prediction of survival in stage III non-small cell lung cancer adenocarcinoma after chemoradiation JM Luna, AR Barsky, RT Shinohara, L Roshkovan, M Hershman, ... Cancers 14 (3), 700, 2022 | 9 | 2022 |
| Correlative hierarchical clustering-based low-rank dimensionality reduction of radiomics-driven phenotype in non-small cell lung cancer B Yousefi, N Jahani, MJ LaRiviere, E Cohen, MK Hsieh, JM Luna, ... Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and …, 2019 | 8 | 2019 |
| Probabilistic Optimization of Resource Distribution and Encryption for Data Storage in the Cloud JM Luna, CT Abdallah, GL Heileman IEEE Transactions on Cloud Computing 6 (2), 428-439, 2016 | 8 | 2016 |
| Provisioning security and performance optimization for dynamic cloud environments V Nandina, JM Luna, CC Lamb, GL Heileman, CT Abdallah 2014 IEEE 7th International Conference on Cloud Computing, 979-981, 2014 | 7 | 2014 |
| Policy-based Security Provisioning and Performance Control in the Cloud V Nandina, JM Luna, EJ Nava, CC Lamb, GL Heileman, CT Abdallah International Conference on Cloud Computing and Services Science (CLOSER …, 2013 | 7 | 2013 |
Eric EatonUniversity of Pennsylvania在 cis.upenn.edu 的电子邮件经过验证
