Houssam Nassif
Houssam Nassif
Ex-Amazon, Meta
Verified email at - Homepage
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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
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
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
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
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
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
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
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
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
Contextual Multi-Armed Bandits for Causal Marketing
N Sawant, CB Namballa, N Sadagopan, H Nassif
Workshops of International Conference on Machine Learning (ICML), 2018
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
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
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
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
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
Instance-optimal PAC Algorithms for Contextual Bandits
Z Li, L Ratliff, H Nassif, K Jamieson, L Jain
Conference on Neural Information Processing Systems (NeurIPS), 37590-37603, 2022
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
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
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
Bayesian Meta-Prior Learning Using Empirical Bayes
S Nabi, H Nassif, J Hong, H Mamani, G Imbens
Management Science 68 (3), 1737-1755, 2022
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