Houssam Nassif

Jude W. Shavlik, Yirong Wu, Elizabeth S. Burnside, 2013, 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013).

A PATTERN RECOGNITION BASED MODEL FOR CHARACTERIZING AND PREDICTING GLUCOSE-BINDING SITES

Houssam Nassif, Houssam Nassif, 2006 .

Uncovering age-specific invasive and DCIS breast cancer rules using inductive logic programming

David Page, Jude W. Shavlik, Mehmet Ayvaci, 2010, IHI.

An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge

David Page, Hassan Al-Ali, Walid Keirouz, 2009, ILP.

Adaptive, Personalized Diversity for Visual Discovery

Choon Hui Teo, S. V. N. Vishwanathan, Vijai Mohan, 2016, RecSys.

Contextual Multi-Armed Bandits for Causal Marketing pdf

Narayanan Sadagopan, Houssam Nassif, Neela Sawant, 2018, ArXiv.

Decoupling Learning Rates Using Empirical Bayes Priors pdf

Guido Imbens, Hamed Mamani, Houssam Nassif, 2020, ArXiv.

Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions

Sinong Geng, Carlos A. Manzanares, Ronnie Sircar, 2020, ICML.

Support Vector Machines for Differential Prediction

David Page, Vítor Santos Costa, Jude W. Shavlik, 2014, ECML/PKDD.

Information Extraction for Clinical Data Mining: A Mammography Case Study

David Page, Jude W. Shavlik, Mehmet Ayvaci, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study

Stephen Muggleton, David Page, Michael J. E. Sternberg, 2012, BMC Bioinformatics.

An Efficient Bandit Algorithm for Realtime Multivariate Optimization

Yi Liu, S. V. N. Vishwanathan, Houssam Nassif, 2017, KDD.

Prediction of protein‐glucose binding sites using support vector machines

Hassan Al-Ali, Walid Keirouz, Houssam Nassif, 2009, Proteins.

Predicting invasive breast cancer versus DCIS in different age groups

Oguzhan Alagoz, Jagpreet Chhatwal, Karla Kerlikowske, 2014, BMC Cancer.