| Using EHRs and machine learning for heart failure survival analysis M Panahiazar, V Taslimitehrani, N Pereira, J Pathak Studies in health technology and informatics 216, 40, 2015 | 156 | 2015 |
| Empowering personalized medicine with big data and semantic web technology: promises, challenges, and use cases M Panahiazar, V Taslimitehrani, A Jadhav, J Pathak 2014 ieee international conference on big data (big data), 790-795, 2014 | 128 | 2014 |
| Developing EHR-driven heart failure risk prediction models using CPXR (Log) with the probabilistic loss function V Taslimitehrani, G Dong, NL Pereira, M Panahiazar, J Pathak Journal of biomedical informatics 60, 260-269, 2016 | 78 | 2016 |
| Using EHRs for heart failure therapy recommendation using multidimensional patient similarity analytics M Panahiazar, V Taslimitehrani, NL Pereira, J Pathak Studies in health technology and informatics 210, 369, 2015 | 63 | 2015 |
| Sample dimensions effect on prediction of soil water retention curve and saturated hydraulic conductivity B Ghanbarian, V Taslimitehrani, G Dong, YA Pachepsky Journal of Hydrology 528, 127-137, 2015 | 61 | 2015 |
| Sample dimensions effect on prediction of soil water retention curve and saturated hydraulic conductivity B Ghanbarian, V Taslimitehrani, G Dong, YA Pachepsky Journal of Hydrology 528, 127-137, 2015 | 61 | 2015 |
| Pattern-aided regression modeling and prediction model analysis G Dong, V Taslimitehrani IEEE Transactions on Knowledge and Data Engineering 27 (9), 2452-2465, 2015 | 49 | 2015 |
| Accuracy of sample dimension-dependent pedotransfer functions in estimation of soil saturated hydraulic conductivity B Ghanbarian, V Taslimitehrani, YA Pachepsky Catena 149, 374-380, 2017 | 44 | 2017 |
| A new CPXR based logistic regression method and clinical prognostic modeling results using the method on traumatic brain injury V Taslimitehrani, G Dong 2014 IEEE International Conference on Bioinformatics and Bioengineering, 283-290, 2014 | 13 | 2014 |
| Scale-dependent pedotransfer functions reliability for estimating saturated hydraulic conductivity B Ghanbarian, V Taslimitehrani, YA Pachepsky arXiv preprint arXiv:1610.06958, 2016 | 11 | 2016 |
| Pattern Aided Classification G Dong, V Taslimitehrani Proceedings of the 2016 SIAM International Conference on Data Mining, 225-233, 2016 | 7 | 2016 |
| Predicting parkinson's disease progression with smartphone data P Anantharam, K Thirunarayan, V Taslimi, AP Sheth | 5 | 2013 |
| PhylOnt: A domain-specific ontology for phylogeny analysis M Panahiazar, A Ranabahu, V Taslimi, H Yalamanchili, A Stoltzfus, ... 2012 IEEE International Conference on Bioinformatics and Biomedicine, 1-6, 2012 | 4 | 2012 |
| Representing Rational Strategies of Improving Performance of Bank Branches by Generalized Models of Data Envelopment Analysis MR Alirezaee, M Afsharian, V Taslimi Economic Researches Quarterly, 2008 | 3 | 2008 |
| Estimating oil recovery factor using machine learning: applications of XGBoost classification A Roustazadeh, B Ghanbarian, F Male, MB Shadmand, V Taslimitehrani, ... arXiv preprint arXiv:2210.16345, 2022 | 1 | 2022 |
| Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability A Roustazadeh, B Ghanbarian, MB Shadmand, V Taslimitehrani, ... arXiv preprint arXiv:2210.12491, 2022 | 1 | 2022 |
| Contrast Pattern Aided Regression and Classification V Taslimitehrani Wright State University, 2016 | 1 | 2016 |
| Estimating hydrocarbon recovery factor at reservoir scale via machine learning: Database-dependent accuracy and reliability A Roustazadeh, B Ghanbarian, MB Shadmand, V Taslimitehrani, ... Engineering Applications of Artificial Intelligence 128, 107500, 2024 | | 2024 |
| Application of machine learning for predicting gas reservoir recovery factor A Roustazadeh, B Ghanbarian, MB Shadmand, V Taslimitehrani, ... AGU Fall Meeting Abstracts 2020, MR023-0004, 2020 | | 2020 |
| Measurement Scale Effect on Prediction of Soil Water Retention Curve and Saturated Hydraulic Conductivity B Ghanbarian, V Taslimitehrani, G Dong, YA Pachepsky arXiv preprint arXiv:1502.02511, 2015 | | 2015 |
Maryam PanahiazarPostdoc at Stanford University and UCSFVerifierad e-postadress på stanford.edu
