Linear Manifold Clustering. - Robert M. Haralick; Rave Harpaz (MLDM, 2005)

Exploiting the Geometry of Gene Expression Patterns for Unsupervised Learning. - Rave Harpaz; Robert M. Haralick (ICPR (2), 2006)

Mining Subspace Correlations. - Rave Harpaz; Robert M. Haralick (CIDM, 2007)

Linear manifold clustering in high dimensional spaces by stochastic search. - Robert M. Haralick; Rave Harpaz (Pattern Recognit., 2007)

Mining electronic health records for adverse drug effects using regression based methods. - Rave Harpaz; Krystl Haerian; Herbert S. Chase; Carol Friedman (IHI, 2010)

Mining multi-item drug adverse effect associations in spontaneous reporting systems. - Rave Harpaz; Herbert S. Chase; Carol Friedman (BMC Bioinform., 2010)

Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysis. - Santiago Vilar; Rave Harpaz; Herbert S. Chase; Stefano Costanzi; Raul Rabadan; Carol Friedman (J. Am. Medical Informatics Assoc., 2011)

Drug-drug interaction through molecular structure similarity analysis. - Santiago Vilar; Rave Harpaz; Eugenio Uriarte; Lourdes Santana; Raul Rabadan; Carol Friedman (J. Am. Medical Informatics Assoc., 2012)

Learning Practice-based Evidence from Unstructured Clinical Notes. - Nigam Shah; Paea LePendu; Anna Bauer-Mehren; Srinivasan V Iyer 002; Kenneth Jung; Tyler Cole; Rave Harpaz (AMIA, 2013)

Empirical bayes model to combine signals of adverse drug reactions. - Rave Harpaz; William DuMouchel; Paea LePendu; Nigam H. Shah (KDD, 2013)

Getting Lucky in Ontology Search: A Data-Driven Evaluation Framework for Ontology Ranking. - Natalya Fridman Noy; Paul R. Alexander; Rave Harpaz; Patricia L. Whetzel; Ray W. Fergerson; Mark A. Musen (ISWC (1), 2013)

Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions. - Rave Harpaz; Santiago Vilar; William DuMouchel; Hojjat Salmasian; Krystl Haerian; Nigam H. Shah; Herbert S. Chase; Carol Friedman (J. Am. Medical Informatics Assoc., 2013)

Mining clinical text for signals of adverse drug-drug interactions. - Srinivasan V Iyer 002; Rave Harpaz; Paea LePendu; Anna Bauer-Mehren; Nigam H. Shah (J. Am. Medical Informatics Assoc., 2014)

Analyzing Search Behavior of Healthcare Professionals for Drug Safety Surveillance. - David J. Odgers; Rave Harpaz; Alison Callahan; Gregor Stiglic; Nigam H. Shah (Pacific Symposium on Biocomputing, 2015)

Leveraging MEDLINE indexing for pharmacovigilance - Inherent limitations and mitigation strategies. - Rainer Winnenburg; Alfred Sorbello; Anna Ripple; Rave Harpaz; Joseph M. Tonning; Ana Szarfman; Henry Francis; Olivier Bodenreider (J. Biomed. Informatics, 2015)

Early identification of adverse drug reactions from search log data. - Ryen W. White; Sheng Wang 012; Apurv Pant; Rave Harpaz; Pushpraj Shukla; Walter Sun; William DuMouchel; Eric Horvitz (J. Biomed. Informatics, 2016)

Extracting Positive Mentions of Adverse Drug Reactions from Product Labels using a Machine Learning Centric Approach. - Rave Harpaz; William DuMouchel (TAC, 2017)

Toward multimodal signal detection of adverse drug reactions. - Rave Harpaz; William DuMouchel; Martijn J. Schuemie; Olivier Bodenreider; Carol Friedman; Eric Horvitz; Anna Ripple; Alfred Sorbello; Ryen W. White; Rainer Winnenburg; Nigam H. Shah (J. Biomed. Informatics, 2017)

Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions. - Pallika Kanani; Virendra J. Marathe; Daniel W. Peterson; Rave Harpaz; Steve Bright (PKDD/ECML Workshops (2), 2021)