AgentX: an environment for coordinating distributed problem solving in product development. - Jim Davis; Srikanth Kannapan (WETICE, 1993)

Pegasus: A Heterogeneous Information Management System. - Ming-Chien Shan; Rafi Ahmed; Jim Davis; Weimin Du; William Kent (Modern Database Systems, 1995)

OpenPM: An Enterprise Process Management System. - Jim Davis; Weimin Du; Ming-Chien Shan (IEEE Data Eng. Bull., 1995)

Flexible specification of workflow compensation scopes. - Weimin Du; Jim Davis; Ming-Chien Shan (GROUP, 1997)

Teaching Students to Design Secure Systems. - Jim Davis; Melissa Dark (IEEE Secur. Priv., 2003)

A Web-based environmental decision support system (WEDSS) for environmental planning and watershed management. - Ramanathan Sugumaran; James C. Meyer; Jim Davis (J. Geogr. Syst., 2004)

Web Distributed Authoring and Versioning (WebDAV) SEARCH. - Julian F. Reschke; Surendra Reddy; Jim Davis; Alan Babich (RFC, 2008)

Smart manufacturing, manufacturing intelligence and demand-dynamic performance. - Jim Davis; Thomas F. Edgar; James Porter; John Bernaden; Michael Sarli (Comput. Chem. Eng., 2012)

Vibrotactile cueing using wearable computers for overcoming learned non-use in chronic stroke. - Eric L. Luster; Troy McDaniel; Bijan Fakhri; Jim Davis; Morris Goldberg; Shantanu Bala; Sethuraman Panchanathan (PervasiveHealth, 2013)

Deploying Kepler Workflows as Services on a Cloud Infrastructure for Smart Manufacturing. - Prakashan Korambath; Jianwu Wang 001; Ankur Kumar; Lorin Hochstein; Brian Schott; Robert B. Graybill; Michael Baldea; Jim Davis (ICCS, 2014)

Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms. - Jianwu Wang 001; Prakashan Korambath; Ilkay Altintas; Jim Davis; Daniel Crawl (ICCS, 2014)

A Smart Manufacturing Use Case: Furnace Temperature Balancing in Steam Methane Reforming Process via Kepler Workflows. - Prakashan Korambath; Jianwu Wang 001; Ankur Kumar; Jim Davis; Robert B. Graybill; Brian Schott; Michael Baldea (ICCS, 2016)

Streaming Workflows on Edge Devices to Process Sensor Data on a Smart Manufacturing Platform. - Prakashan Korambath; Haresh Malkani; Jim Davis (eScience, 2019)

Hierarchical Semantic Labeling with Adaptive Confidence. - Jim Davis; Tong Liang; James Enouen; Roman Ilin (ISVC (2), 2019)

A Framework for Collecting and Classifying Objects in Satellite Imagery. - Aswathnarayan Radhakrishnan; James Cunningham; Jim Davis; Roman Ilin (ISVC (2), 2019)

Hierarchical Classification with Confidence using Generalized Logits. - Jim Davis; Tong Liang; James Enouen; Roman Ilin (ICPR, 2020)

Posterior Model Adaptation With Updated Priors. - Jim Davis (CoRR, 2020)

A Framework for Semi-automatic Collection of Temporal Satellite Imagery for Analysis of Dynamic Regions. - Nicholas Kashani Motlagh; Aswathnarayan Radhakrishnan; Jim Davis; Roman Ilin (ICCVW, 2021)

Confidence-Driven Hierarchical Classification of Cultivated Plant Stresses. - Logan Frank; Christopher Wiegman; Jim Davis; Scott A. Shearer (WACV, 2021)

Bottom-up Hierarchical Classification Using Confusion-based Logit Compression. - Tong Liang; Jim Davis; Roman Ilin (CoRR, 2021)

Revisiting Batch Normalization. - Jim Davis; Logan Frank (CoRR, 2021)

Revisiting Batch Norm Initialization. - Jim Davis; Logan Frank (ECCV (21), 2022)

S-FINCH: An Optimized Streaming Adaptation to FINCH Clustering. - James Cunningham; Jim Davis; Kyle Tarplee; Juan Vasquez (ICPR, 2022)

Learning When to Say "I Don't Know". - Nicholas Kashani Motlagh; Jim Davis; Tim Anderson; Jeremy Gwinnup (ISVC (1), 2022)

Confident AI. - Jim Davis (CoRR, 2022)

Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity. - Tong Liang; Jim Davis (ICCV, 2023)

Enhancing Self-Training Methods. - Aswathnarayan Radhakrishnan; Jim Davis; Zachary Rabin; Benjamin Lewis; Matthew Scherreik; Roman Ilin (CoRR, 2023)

Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL Shader Images. - Logan Frank; Jim Davis (CoRR, 2023)

Design Choices for Enhancing Noisy Student Self-Training. - Aswathnarayan Radhakrishnan; Jim Davis; Zachary Rabin; Benjamin Lewis; Matthew Scherreik; Roman Ilin (WACV, 2024)

Assessing the Role of Imagery in Multimodal Machine Translation. - Nicholas Kashani Motlagh; Jim Davis; Jeremy Gwinnup; Grant Erdmann; Tim Anderson (WMT, 2024)

Overfitting In Contrastive Learning? - Zachary Rabin; Jim Davis; Benjamin Lewis; Matthew Scherreik (CoRR, 2024)

Deep Learning Improvements for Sparse Spatial Field Reconstruction. - Robert Sunderhaft; Logan Frank; Jim Davis (CoRR, 2024)

Effects of Common Regularization Techniques on Open-Set Recognition. - Zachary Rabin; Jim Davis; Benjamin Lewis; Matthew Scherreik (CoRR, 2024)

What Makes a Good Dataset for Knowledge Distillation? - Logan Frank; Jim Davis (CVPR, 2025)

Naturally constrained reject option classification. - Nicholas Kashani Motlagh; Jim Davis; Tim Anderson; Jeremy Gwinnup (Mach. Vis. Appl., 2025)

Making Better Mistakes in CLIP-Based Zero-Shot Classification with Hierarchy-Aware Language Prompts. - Tong Liang; Jim Davis (CoRR, 2025)