Arithmetic with uncertain numbers: rigorous and (often) best possible answers. - Scott Ferson; Janos G. Hajagos (Reliab. Eng. Syst. Saf., 2004)

Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity. - Vladik Kreinovich; Gang Xiang; Scott A. Starks; Luc Longpré; Martine Ceberio; Roberto Araiza; Jan Beck; Raj Kandathi; Asis Nayak; Roberto Torres; Janos G. Hajagos (Reliab. Comput., 2006)

Varying correlation coefficients can underestimate uncertainty in probabilistic models. - Scott Ferson; Janos G. Hajagos (Reliab. Eng. Syst. Saf., 2006)

Interval Monte Carlo as an Alternative to Second-Order Sampling for Estimating Ecological Risk. - Janos G. Hajagos (Reliab. Comput., 2007)

Linked open drug data for pharmaceutical research and development. - Matthias Samwald; Anja Jentzsch; Christopher Bouton; Claus Kallesøe; Egon L. Willighagen; Janos G. Hajagos; M. Scott Marshall; Eric Prud'hommeaux; Oktie Hassanzadeh; Elgar Pichler; Susie Stephens (J. Cheminformatics, 2011)

Emerging practices for mapping and linking life sciences data using RDF - A case series. - M. Scott Marshall; Richard D. Boyce; Helena F. Deus; Jun Zhao 003; Egon L. Willighagen; Matthias Samwald; Elgar Pichler; Janos G. Hajagos; Eric Prud'hommeaux; Susie Stephens (J. Web Semant., 2012)

Linking Clinicians to Biomedical Researchers: An Application of the ISF Ontology at Stony Brook Medicine. - Janos G. Hajagos; Viviktesh Agwan (CBMS, 2014)

OpenHealth Platform for Interactive Contextualization of Population Health Open Data. - Jonas S. Almeida; Janos G. Hajagos; Ivan Crnosija; Tahsin M. Kurç; Mary M. Saltz; Joel H. Saltz (AMIA, 2015)

Integrative Informatics and Predictive Modeling Support for Population Health. - Mary M. Saltz; Joel H. Saltz; Janos G. Hajagos; Andrew White; Charles Boicey; Jim Murry; Ivan Crnosija; Tahsin M. Kurç; Erich Bremer; Jonas S. Almeida (AMIA, 2015)

S2CR3UM: A Solution to the In Silico Relevance, Reliability & Reproducibility Conundrum. - Sarah B. Putney; Andrew White; Janos G. Hajagos; Joel H. Saltz; Jonas S. Almeida; Mary M. Saltz (AMIA, 2016)

Disease phenotyping using deep learning: A diabetes case study. - Sina Rashidian; Janos G. Hajagos; Richard A. Moffitt; Fusheng Wang 001; Xinyu Dong; Kayley Abell-Hart; Kimberly Noel; Rajarsi R. Gupta; Mathew Tharakan; Veena Lingam; Joel H. Saltz; Mary M. Saltz (CoRR, 2018)

Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records. - Xinyu Dong; Sina Rashidian; Yu Wang 137; Janos G. Hajagos; Xia Zhao; Richard N. Rosenthal; Jun Kong 002; Mary M. Saltz; Joel H. Saltz; Fusheng Wang 001 (AMIA, 2019)

SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation. - Sina Rashidian; Fusheng Wang 001; Richard A. Moffitt; Victor Garcia; Anurag Dutt; Wei Chang; Vishwam Pandya; Janos G. Hajagos; Mary M. Saltz; Joel H. Saltz (AIME, 2020)

Informatics to Power Post-COVID Care: A Framework for Patient Care and Secondary Data Use. - Sritha Rajupet; Rachel Wong; Donna Moller; Lisa Maldonado; Tricia Weiss; Tahsin M. Kurç; Janos G. Hajagos; Hasit Shah; Mary M. Saltz; Joel H. Saltz; Veena Lingam (AMIA, 2021)

Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks. - Siao Sun; Fusheng Wang 001; Sina Rashidian; Tahsin M. Kurç; Kayley Abell-Hart; Janos G. Hajagos; Wei Zhu 008; Mary M. Saltz; Joel H. Saltz (AMIA, 2021)

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. - Emily R. Pfaff; Andrew T. Girvin; Davera Gabriel; Kristin Kostka; Michele Morris; Matvey B. Palchuk; Harold P. Lehmann; Benjamin R. C. Amor; Mark Bissell; Katie R. Bradwell; Sigfried Gold; Stephanie S. Hong; et al. (J. Am. Medical Informatics Assoc., 2022)

Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs. - Peter Leese; Adit Anand; Andrew T. Girvin; Amin Manna; Saaya Patel; Yun Jae Yoo; Rachel Wong; Melissa A. Haendel; Christopher G. Chute; Tellen D. Bennett; Janos G. Hajagos; Emily R. Pfaff; et al. (J. Am. Medical Informatics Assoc., 2023)

An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction. - Xinyu Dong; Rachel Wong; Weimin Lyu; Kayley Abell-Hart; Jianyuan Deng; Janos G. Hajagos; Richard N. Rosenthal; Chao Chen 012; Fusheng Wang 001 (Artif. Intell. Medicine, 2023)