An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSP. - Dan Bonachea; Eugene Ingerman; Joshua Levy; Scott McPeak (GECCO, 2000)

An Architecture for an Adaptive Intrusion-Tolerant Server. - Alfonso Valdes; Magnus Almgren; Steven Cheung; Yves Deswarte; Bruno Dutertre; Joshua Levy; Hassen Saïdi; Victoria Stavridou; Tomás E. Uribe (Security Protocols Workshop, 2002)

Combining Monitors for Runtime System Verification. - Joshua Levy; Hassen Saïdi; Tomás E. Uribe (RV@FLoC, 2002)

Self-regenerative software components. - Hassen Saïdi; Bruno Dutertre; Joshua Levy; Alfonso Valdes (SSRS@CCS, 2003)

Dependable Intrusion Tolerance: Technology Demo. - Alfonso Valdes; Magnus Almgren; Steven Cheung; Yves Deswarte; Bruno Dutertre; Joshua Levy; Hassen Saïdi; Victoria Stavridou; Tomás E. Uribe (DISCEX (2), 2003)

A Collaborative Programming Environment for Web Interoperability. - Adam Cheyer; Joshua Levy (SemWiki, 2006)

The NIDDK Central Repository at 8 years - Ambition, Revision, Use and Impact. - Charles F. Turner; Huaqin (Helen) Pan; Gregg W. Silk; Mary-Anne Ardini; Vesselina D. Bakalov; Stephanie Bryant; Susanna Cantor; Kungyen Chang; Michael DeLatte; Paul Eggers; Laxminarayana Ganapathi; Sujatha Lakshmikanthan; et al. (Database J. Biol. Databases Curation, 2011)

'What's in the NIDDK CDR?' - public query tools for the NIDDK central data repository. - Huaqin (Helen) Pan; Mary-Anne Ardini; Vesselina D. Bakalov; Michael DeLatte; Paul Eggers; Laxminarayana Ganapathi; Craig R. Hollingsworth; Joshua Levy; Sheping Li; Joseph Pratt; Norma Pugh; Ying Qin; et al. (Database J. Biol. Databases Curation, 2013)

Domain-Independent turn-level Dialogue Quality Evaluation via User Satisfaction Estimation. - Praveen Kumar Bodigutla; Longshaokan Wang; Kate Ridgeway; Joshua Levy; Swanand Joshi; Alborz Geramifard; Spyros Matsoukas (CoRR, 2019)

Speech Sentiment and Customer Satisfaction Estimation in Socialbot Conversations. - Yelin Kim; Joshua Levy; Yang Liu (INTERSPEECH, 2020)

Contrastive Unsupervised Learning for Speech Emotion Recognition. - Mao Li; Bo Yang; Joshua Levy; Andreas Stolcke; Viktor Rozgic; Spyros Matsoukas; Constantinos Papayiannis; Daniel Bone; Chao Wang 018 (ICASSP, 2021)

Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting. - Song Jiang 002; Tahin Syed; Xuan Zhu 002; Joshua Levy; Boris Aronchik; Yizhou Sun (CIKM, 2022)

A Deep Learning Approach for Grading of Motor Impairment Severity in Parkinson's Disease. - Prithvi Prakash; Rachneet Kaur; Joshua Levy; Richard B. Sowers; James R. Brasic; Manuel E. Hernandez (EMBC, 2023)

Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait. - Rachneet Kaur; Joshua Levy; Robert W. Motl; Richard B. Sowers; Manuel E. Hernandez (IEEE Trans. Biomed. Eng., 2023)

Systematic Approach to Identifying Sources of Variation in CT Radiomics: A Phantom Study. - Neha Yadav; Andrew Turangan; Huawei Han; Xiaomeng Lei; Darryl H. Hwang; Steven Y. Cen; Joshua Levy; Kristin Jensen; David J. Goodenough; Bino A. Varghese (SIPAIM, 2024)

Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population. - Siting Li; Maxwell Levis; Monica Dimambro; Weiyi Wu; Joshua Levy; Brian Shiner; Jiang Gui (Comput. Biol. Medicine, 2025)