Improving user engagement and insight through Contextualized Quantified Self. - Tiffany Callahan; Tal Lorberbaum; Alexandre Yahi (AMIA, 2015)

Aurigo: an Interactive Tour Planner for Personalized Itineraries. - Alexandre Yahi; Antoine Chassang; Louis Raynaud; Hugo Duthil; Duen Horng (Polo) Chau (IUI, 2015)

Automated Identification of Families in Electronic Health Records to Support Clinical Research. - Fernanda Polubriaginof; Kayla Quinnies; Rami Vanguri; Alexandre Yahi; Mary Simmerling; Iuliana Ionita-Laza; Hojjat Salmasian; Suzanne Bakken; George Hripcsak; Krzysztof Kiryluk; David Goldstein; Nicholas P. Tatonetti; et al. (CRI, 2017)

Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. - Khader Shameer; Kipp W. Johnson; Alexandre Yahi; Riccardo Miotto; Li Li 062; Doran Ricks; Jebakumar Jebakaran; Patricia H. Kovatch; Partho P. Sengupta; Annetine Gelijns; Alan Moskovitz; Bruce Darrow; et al. (PSB, 2017)

Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories. - Alexandre Yahi; Rami Vanguri; Noémie Elhadad; Nicholas P. Tatonetti (CoRR, 2017)

Using model classifications as quantitative traits to estimate stroke heritability. - Phyllis M. Thangaraj; Fernanda C. Polubriaginof; Benjamin Kummer; Rami Vanguri; Tal Lorberbaum; Joseph D. Romano; Kayla Quinnies; Alexandre Yahi; Mitchell S. V. Elkind; Nicholas P. Tatonetti (AMIA, 2018)

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. - Natalia Antropova; Andrew L. Beam; Brett K. Beaulieu-Jones; Irene Chen; Corey Chivers; Adrian V. Dalca; Samuel G. Finlayson; Madalina Fiterau; Jason Alan Fries; Marzyeh Ghassemi; Mike Hughes; Bruno Jedynak; et al. (CoRR, 2018)

Simulating drug responses in laboratory test time series with deep generative modeling. - Alexandre Yahi (2019)