David Ellison

Orcid: 0000-0002-6494-8357

According to our database1, David Ellison authored at least 24 papers between 1997 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings.
CoRR, 2023

Benchmarking Large Language Models: Opportunities and Challenges.
Proceedings of the Performance Evaluation and Benchmarking: 15th TPC Technology Conference, 2023

Benchmarking Generative AI Performance Requires a Holistic Approach.
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.
Expert Syst. Appl., 2022

More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI.
Proceedings of the Performance Evaluation and Benchmarking, 2022

Benchmarking Considerations for Trustworthy and Responsible AI (Panel).
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.
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.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
Orienteering problem with time-windows and updating delay.
Theor. Comput. Sci., 2021

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging.
CoRR, 2021

Everyone is a Winner: Interpreting MLPerf Inference Benchmark Results.
Proceedings of the Performance Evaluation and Benchmarking, 2021

Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters.
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.
Proceedings of the Performance Evaluation and Benchmarking, 2020

2019
Firefighting on trees.
Theor. Comput. Sci., 2019

Embeddings.jl: easy access to pretrained word embeddings from Julia.
J. Open Source Softw., 2019

The impact of loops on the game of cops and robbers on graphs.
Discret. Math., 2019

Online Firefighting on Grids.
Proceedings of the 20th Italian Conference on Theoretical Computer Science, 2019

2018
On constructing expander families of <i>G</i>-graphs.
Ars Math. Contemp., 2018

Online Firefighting on Trees.
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.
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.
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.
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.
Neural Comput. Appl., 2001

1997
Software cost estimation using an Albus perceptron (CMAC).
Inf. Softw. Technol., 1997


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