Software cost estimation using an Albus perceptron (CMAC). - Bill Samson; David Ellison; Pat Dugard (Inf. Softw. Technol., 1997)

MIQR Active Learning on a Continuous Function and a Discontinuous Function. - Yonglong Wang; Bill Samson; David Ellison; Louis Natanson (Neural Comput. Appl., 2001)

An integrated texton and bag of words classifier for identifying anaplastic medulloblastomas. - Joseph Galaro; Alexander R. Judkins; David Ellison; Jennifer Baccon; Anant Madabhushi (EMBC, 2011)

A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides. - Angel Cruz-Roa; Fabio A. González 001; Joseph Galaro; Alexander R. Judkins; David Ellison; Jennifer Baccon; Anant Madabhushi; Eduardo Romero 001 (MICCAI (1), 2012)

Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching. - Miro Hodak; David Ellison; Peter Seidel; Ajay Dholakia (IEEE BigData, 2018)

Online Firefighting on Trees. - Pierre Coupechoux; Marc Demange; David Ellison; Bertrand Jouve (ISCO, 2018)

On constructing expander families of G-graphs. - Mohamad Badaoui; Alain Bretto; David Ellison; Bassam Mourad (Ars Math. Contemp., 2018)

Online Firefighting on Grids. - Marc Demange; David Ellison; Raffaella Gentilini (ICTCS, 2019)

The impact of loops on the game of cops and robbers on graphs. - David Ellison (Discret. Math., 2019)

Embeddings.jl: easy access to pretrained word embeddings from Julia. - Lyndon White; David Ellison (J. Open Source Softw., 2019)

Firefighting on trees. - Pierre Coupechoux; Marc Demange; David Ellison; Bertrand Jouve (Theor. Comput. Sci., 2019)

Benchmarking AI Inference: Where we are in 2020. - Miro Hodak; David Ellison; Ajay Dholakia (TPCTC, 2020)

Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters. - Peini Liu; Gusseppe Bravo Rocca; Jordi Guitart; Ajay Dholakia; David Ellison; Miroslav Hodak (Middleware Demos/Posters, 2021)

Everyone is a Winner: Interpreting MLPerf Inference Benchmark Results. - Miro Hodak; David Ellison; Ajay Dholakia (TPCTC, 2021)

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Jeffrey Falkanger; Miroslav Hodak (CoRR, 2021)

Orienteering problem with time-windows and updating delay. - Marc Demange; David Ellison; Bertrand Jouve (Theor. Comput. Sci., 2021)

Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters. - Peini Liu; Gusseppe Bravo Rocca; Jordi Guitart; Ajay Dholakia; David Ellison; Miroslav Hodak (CCGRID, 2022)

Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Miroslav Hodak (COMPSAC, 2022)

Benchmarking Considerations for Trustworthy and Responsible AI (Panel). - Ajay Dholakia; David Ellison; Miro Hodak; Debojyoti Dutta (TPCTC, 2022)

More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI. - Yingrui Liu Olesiuk; Miro Hodak; David Ellison; Ajay Dholakia (TPCTC, 2022)

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debuggin. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Jeffrey Falkanger; Miroslav Hodak (Expert Syst. Appl., 2022)

Benchmarking Generative AI Performance Requires a Holistic Approach. - Ajay Dholakia; David Ellison; Miro Hodak; Debojyoti Dutta; Carsten Binnig (TPCTC, 2023)

Benchmarking Large Language Models: Opportunities and Challenges. - Miro Hodak; David Ellison; Chris Van Buren; Xiaotong Jiang; Ajay Dholakia (TPCTC, 2023)

TADIL: Task-Agnostic Domain-Incremental Learning Through Task-ID Inference Using Transformer Nearest-Centroid Embeddings. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison (ICPR (29), 2024)

Evaluation Considerations of Synthetic Natural Language Datasets for Question Answering Applications. - Chris Van Buren; Xiaotong Jiang; Jieyu Lin; Sachin Gopal Wani; Ajay Dholakia; David Ellison (TPCTC, 2024)

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Rodrigo M. Carrillo-Larco; Ajay Dholakia; David Ellison (AAMAS, 2025)

Experience Replay and Zero-Shot Clustering for Continual Learning in Diabetic Retinopathy Detection. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Rodrigo M. Carrillo-Larco (VISIGRAPP (2): VISAPP, 2025)