The comparison of four dynamic systems-based software packages: Translation and sensitivity analysis. - Donna M. Rizzo; Paula J. Mouser; David H. Whitney; Charles D. Mark; Roger D. Magarey; Alexey A. Voinov (Environ. Model. Softw., 2006)

Counterpropagation Neural Network for Stochastic Conditional Simulation: An Application with Berea Sandstone. - Lance E. Besaw; Donna M. Rizzo (ICDM Workshops, 2007)

Dynamic morphometric characterization of local connective tissue network structure in humans using ultrasound. - Helene M. Langevin; Donna M. Rizzo; James R. Fox; Gary J. Badger; Junru Wu; Elisa E. Konofagou; Debbie Stevens-Tuttle; Nicole A. Bouffard; Martin H. Krag (BMC Syst. Biol., 2007)

Evolutionary feature selection for classification: a plug-in hybrid vehicle adoption application. - Joseph S. Krupa; Somdeb Chatterjee; Ethan Eldridge; Donna M. Rizzo; Margaret J. Eppstein (GECCO, 2012)

Evolutionary mining for multivariate associations in large time-varying data sets: a healthcare network application. - Narine Manukyan; Margaret J. Eppstein; Jeffrey D. Horbar; Kathleen A. Leahy; Michael J. Kenny; Shreya Mukherjee; Donna M. Rizzo (GECCO (Companion), 2012)

Data-Driven Cluster Reinforcement and Visualization in Sparsely-Matched Self-Organizing Maps. - Narine Manukyan; Margaret J. Eppstein; Donna M. Rizzo (IEEE Trans. Neural Networks Learn. Syst., 2012)

Using National Survey Respondents as Consumers in an Agent-Based Model of Plug-In Hybrid Vehicle Adoption. - Margaret J. Eppstein; Donna M. Rizzo; Brian H. Y. Lee; Joseph S. Krupa; Narine Manukyan (IEEE Access, 2015)

Evolving Probabilistically Significant Epistatic Classification Rules for Heterogeneous Big Datasets. - John P. Hanley; Margaret J. Eppstein; Jeffrey S. Buzas; Donna M. Rizzo (GECCO, 2016)

Analysis of Hydrological and Suspended Sediment Events from Mad River Wastershed using Multivariate Time Series Clustering. - Ali Javed; Scott D. Hamshaw; Donna M. Rizzo; Byung Suk Lee 001 (CoRR, 2019)

A Benchmark Study on Time Series Clustering. - Ali Javed; Byung Suk Lee 001; Donna M. Rizzo (CoRR, 2020)

A General Model of Conversational Dynamics and an Example Application in Serious Illness Communication. - Laurence A. Clarfeld; Robert Gramling; Donna M. Rizzo; Margaret J. Eppstein (CoRR, 2020)

A Tandem Evolutionary Algorithm for Identifying Causal Rules from Complex Data. - John P. Hanley; Donna M. Rizzo; Jeffrey S. Buzas; Margaret J. Eppstein (Evol. Comput., 2020)

Water Pollution and Environmental Concerns in Anesthesiology. - Marc Kostrubiak; Christine M. Vatovec; Lesley-Ann Dupigny-Giroux; Donna M. Rizzo; William C. Paganelli; Mitchell H. Tsai (J. Medical Syst., 2020)

Monitoring Perioperative Services Using 3D Multi-Objective Performance Frontiers. - Andrea J. Elhajj; Donna M. Rizzo; Gary C. An; Jaideep J. Pandit; Mitchell H. Tsai (J. Medical Syst., 2021)

The Power Law in Operating Room Management. - Timothy Wong; Erik J. Zhang; Andrea J. Elhajj; Donna M. Rizzo; Kevin W. Sexton; Jaideep J. Pandit; Mitchell H. Tsai (J. Medical Syst., 2021)

Peak Anomaly Detection from Environmental Sensor-Generated Watershed Time Series Data. - Byung Suk Lee 001; John Clay Kaufmann; Donna M. Rizzo; Ijaz Ul Haq (SIMBig, 2022)

Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning. - Bryn C. Loftness; Donna M. Rizzo; Julia Halvorson-Phelan; Aisling O'Leary; Shania Prytherch; Carter Bradshaw; Anna Jane Brown; Nick Cheney; Ellen W. McGinnis; Ryan S. McGinnis (EMBC, 2023)

An Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical Zone. - Ijaz Ul Haq; Byung Suk Lee 001; Donna M. Rizzo; Julia N. Perdrial (CoRR, 2023)

Somtimes: self organizing maps for time series clustering and its application to serious illness conversations. - Ali Javed; Donna M. Rizzo; Byung Suk Lee 001; Robert Gramling (Data Min. Knowl. Discov., 2024)

TransNAS-TSAD: harnessing transformers for multi-objective neural architecture search in time series anomaly detection. - Ijaz Ul Haq; Byung Suk Lee 001; Donna M. Rizzo (Neural Comput. Appl., 2025)