David Ellison

According to our database, David Ellison authored at least 24 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Benchmarking Large Language Models: Opportunities and Challenges.

Miro Hodak, David Ellison, Chris Van Buren, Xiaotong Jiang, Ajay Dholakia

Proceedings of the Performance Evaluation and Benchmarking: 15th TPC Technology Conference, 2023

Benchmarking Generative AI Performance Requires a Holistic Approach.

Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta, Carsten Binnig

Proceedings of the Performance Evaluation and Benchmarking: 15th TPC Technology Conference, 2023

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

More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI.

Yingrui Liu Olesiuk, Miro Hodak, David Ellison, Ajay Dholakia

Proceedings of the Performance Evaluation and Benchmarking, 2022

Benchmarking Considerations for Trustworthy and Responsible AI (Panel).

Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta

Proceedings of the Performance Evaluation and Benchmarking, 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

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

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

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Orienteering problem with time-windows and updating delay.

Marc Demange, David Ellison, Bertrand Jouve

Theor. Comput. Sci., 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

Everyone is a Winner: Interpreting MLPerf Inference Benchmark Results.

Miro Hodak, David Ellison, Ajay Dholakia

Proceedings of the Performance Evaluation and Benchmarking, 2021

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

Proceedings of the Middleware '21: Proceedings of the 22nd International Middleware Conference: Demos and Posters, Virtual Event / Québec City, Canada, December 6, 2021

2020

Benchmarking AI Inference: Where we are in 2020.

Miro Hodak, David Ellison, Ajay Dholakia

Proceedings of the Performance Evaluation and Benchmarking, 2020

2019

Firefighting on trees.

Pierre Coupechoux, Marc Demange, David Ellison, Bertrand Jouve

Theor. Comput. Sci., 2019

Embeddings.jl: easy access to pretrained word embeddings from Julia.

Lyndon White, David Ellison

J. Open Source Softw., 2019

The impact of loops on the game of cops and robbers on graphs.

David Ellison

Discret. Math., 2019

Online Firefighting on Grids.

Marc Demange, David Ellison, Raffaella Gentilini

Proceedings of the 20th Italian Conference on Theoretical Computer Science, 2019

2018

On constructing expander families of <i>G</i>-graphs.

Mohamad Badaoui, Alain Bretto, David Ellison, Bassam Mourad

Ars Math. Contemp., 2018

Online Firefighting on Trees.

Pierre Coupechoux, Marc Demange, David Ellison, Bertrand Jouve

Proceedings of the Combinatorial Optimization - 5th International Symposium, 2018

Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching.

Miro Hodak, David Ellison, Peter Seidel, Ajay Dholakia

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2012

A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides.

Angel Cruz-Roa, Fabio A. González, Joseph Galaro, Alexander R. Judkins, David Ellison, Jennifer Baccon, Anant Madabhushi, Eduardo Romero

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011

An integrated texton and bag of words classifier for identifying anaplastic medulloblastomas.

Joseph Galaro, Alexander R. Judkins, David Ellison, Jennifer Baccon, Anant Madabhushi

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2001

MIQR Active Learning on a Continuous Function and a Discontinuous Function.

Yonglong Wang, Bill Samson, David Ellison, Louis Natanson

Neural Comput. Appl., 2001

1997

Software cost estimation using an Albus perceptron (CMAC).

Bill Samson, David Ellison, Pat Dugard

Inf. Softw. Technol., 1997