| An efficient bandit algorithm for realtime multivariate optimization DN Hill, H Nassif, Y Liu, A Iyer, SVN Vishwanathan International Conference on Knowledge Discovery and Data Mining (KDD), 1813-1821, 2017 | 95 | 2017 |
| Information extraction for clinical data mining: A mammography case study H Nassif, R Woods, E Burnside, M Ayvaci, J Shavlik, D Page Workshops of IEEE International Conference on Data Mining (ICDM), 37-42, 2009 | 70 | 2009 |
| Rational polypharmacology: systematically identifying and engaging multiple drug targets to promote axon growth H Al-Ali, DH Lee, MC Danzi, H Nassif, P Gautam, K Wennerberg, ... ACS chemical biology 10 (8), 1939-1951, 2015 | 63 | 2015 |
| Adaptive, personalized diversity for visual discovery CH Teo, H Nassif, D Hill, S Srinivasan, M Goodman, V Mohan, ... ACM Conference on Recommender Systems (RecSys), 35-38, 2016 | 60 | 2016 |
| Automatic classification of mammography reports by BI-RADS breast tissue composition class B Percha, H Nassif, J Lipson, E Burnside, D Rubin Journal of the American Medical Informatics Association (JAMIA) 19 (5), 913-916, 2012 | 59 | 2012 |
| Prediction of protein‐glucose binding sites using support vector machines H Nassif, H Al‐Ali, S Khuri, W Keirouz Proteins: Structure, Function, and Bioinformatics 77 (1), 121-132, 2009 | 43 | 2009 |
| Support Vector Machines for Differential Prediction F Kuusisto, VS Costa, H Nassif, E Burnside, D Page, J Shavlik European Conference on Machine Learning (ECML), 50-65, 2014 | 34 | 2014 |
| Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study JC A Santos, H Nassif, D Page, SH Muggleton, MJ E Sternberg BMC bioinformatics 13 (1), 1-11, 2012 | 33 | 2012 |
| Uncovering age-specific invasive and DCIS breast cancer rules using Inductive Logic Programming H Nassif, D Page, M Ayvaci, J Shavlik, ES Burnside ACM International Health Informatics Symposium (IHI), 76-82, 2010 | 24 | 2010 |
| Uplift Modeling with ROC: An SRL Case Study H Nassif, F Kuusisto, ES Burnside, J Shavlik International Conference on Inductive Logic Programming (ILP), 40-45, 2013 | 21 | 2013 |
| An Inductive Logic Programming approach to validate Hexose binding biochemical knowledge H Nassif, H Al-Ali, S Khuri, W Keirouz, D Page International Conference on Inductive Logic Programming (ILP), 149-165, 2009 | 21 | 2009 |
| Genetic variants improve breast cancer risk prediction on mammograms J Liu, D Page, H Nassif, J Shavlik, P Peissig, C McCarty, AA Onitilo, ... American Medical Informatics Association Symposium (AMIA), 876-885, 2013 | 19 | 2013 |
| Score as you lift (SAYL): A statistical relational learning approach to uplift modeling H Nassif, F Kuusisto, ES Burnside, D Page, J Shavlik, VS Costa European Conference on Machine Learning (ECML), 595-611, 2013 | 18 | 2013 |
| Logical Differential Prediction Bayes Net, improving breast cancer diagnosis for older women H Nassif, Y Wu, D Page, E Burnside American Medical Informatics Association Symposium (AMIA), 1330-1339, 2012 | 18 | 2012 |
| Extracting BI-RADS Features from Portuguese Clinical Texts H Nassif, F Cunha, I Moreira, R Cruz-Correia, E Sousa, D Page, ... IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 12 …, 2012 | 17 | 2012 |
| Integrating machine learning and physician knowledge to improve the accuracy of breast biopsy I Dutra, H Nassif, D Page, J Shavlik, RM Strigel, Y Wu, ME Elezaby, ... American Medical Informatics Association Symposium (AMIA), 349-355, 2011 | 16 | 2011 |
| Contextual Multi-Armed Bandits for Causal Marketing N Sawant, CB Namballa, N Sadagopan, H Nassif Workshops of International Conference on Machine Learning (ICML), 2018 | 15 | 2018 |
| Predicting invasive breast cancer versus DCIS in different age groups MUS Ayvaci, O Alagoz, J Chhatwal, A Munoz del Rio, EA Sickles, ... BMC cancer 14 (1), 1-10, 2014 | 14 | 2014 |
| Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits KS Jun, L Jain, B Mason, H Nassif International Conference on Machine Learning (ICML) 139, 5148-5157, 2021 | 13* | 2021 |
| Relational differential prediction H Nassif, V Santos Costa, E Burnside, D Page European Conference on Machine Learning (ECML), 617-632, 2012 | 13 | 2012 |
Elizabeth Burnside M.D., MPH, M.S.Professor of Radiology, University of Wisconsin School of Medicine and Public HealthVerified email at uwhealth.org
