David Ellison

34 papers A 1B 2C 1Journal 16Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking Distilled Language Models: Performance and Efficiency in Resource-Constrained Settings.
CoRR
Sachin Gopal Wani, Eric Page, Ajay Dholakia, David Ellison
2025 — conf
Experience Replay and Zero-Shot Clustering for Continual Learning in Diabetic Retinopathy Detection.
VISIGRAPP (2): VISAPP
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Rodrigo M. Carrillo-Larco
2025 A conf
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring.
AAMAS
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Rodrigo M. Carrillo-Larco, Ajay Dholakia, David Ellison
2025 J jnl
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring.
CoRR
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Rodrigo M. Carrillo-Larco, Ajay Dholakia, David Ellison
2024 — conf
Evaluation Considerations of Synthetic Natural Language Datasets for Question Answering Applications.
TPCTC
Chris Van Buren, Xiaotong Jiang, Jieyu Lin, Sachin Gopal Wani, Ajay Dholakia, David Ellison
2024 — conf
TADIL: Task-Agnostic Domain-Incremental Learning Through Task-ID Inference Using Transformer Nearest-Centroid Embeddings.
ICPR (29)
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison
2023 — conf
Benchmarking Generative AI Performance Requires a Holistic Approach.
TPCTC
Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta, Carsten Binnig
2023 — conf
Benchmarking Large Language Models: Opportunities and Challenges.
TPCTC
Miro Hodak, David Ellison, Chris Van Buren, Xiaotong Jiang, Ajay Dholakia
2023 J jnl
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings.
CoRR
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison
2022 — conf
Benchmarking Considerations for Trustworthy and Responsible AI (Panel).
TPCTC
Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta
2022 B conf
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation.
COMPSAC
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak
2022 J jnl
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation.
CoRR
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak
2022 — conf
More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI.
TPCTC
Yingrui Liu Olesiuk, Miro Hodak, David Ellison, Ajay Dholakia
2022 J jnl
Orienteering problem with time-windows and updating delay.
CoRR
Marc Demange, David Ellison, Bertrand Jouve
2022 B conf
Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters.
CCGRID
Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak
2022 J jnl
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debuggin.
Expert Syst. Appl.
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak
2021 — conf
Everyone is a Winner: Interpreting MLPerf Inference Benchmark Results.
TPCTC
Miro Hodak, David Ellison, Ajay Dholakia
2021 J jnl
Orienteering problem with time-windows and updating delay.
Theor. Comput. Sci.
Marc Demange, David Ellison, Bertrand Jouve
2021 J jnl
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging.
CoRR
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak
2021 — conf
Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters.
Middleware Demos/Posters
Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak
2020 — conf
Benchmarking AI Inference: Where we are in 2020.
TPCTC
Miro Hodak, David Ellison, Ajay Dholakia
2019 J jnl
Embeddings.jl: easy access to pretrained word embeddings from Julia.
J. Open Source Softw.
Lyndon White, David Ellison
2019 J jnl
Firefighting on Trees.
CoRR
Pierre Coupechoux, Marc Demange, David Ellison, Bertrand Jouve
2019 J jnl
Firefighting on trees.
Theor. Comput. Sci.
Pierre Coupechoux, Marc Demange, David Ellison, Bertrand Jouve
2019 — conf
Online Firefighting on Grids.
ICTCS
Marc Demange, David Ellison, Raffaella Gentilini
2019 J jnl
Online Firefighting on Grids.
CoRR
Marc Demange, David Ellison, Raffaella Gentilini
2019 J jnl
The impact of loops on the game of cops and robbers on graphs.
Discret. Math.
David Ellison
2018 J jnl
On constructing expander families of
Ars Math. Contemp.
Mohamad Badaoui, Alain Bretto, David Ellison, Bassam Mourad
2018 C conf
Online Firefighting on Trees.
ISCO
Pierre Coupechoux, Marc Demange, David Ellison, Bertrand Jouve
2018 — conf
Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching.
IEEE BigData
Miro Hodak, David Ellison, Peter Seidel, Ajay Dholakia
2012 — conf
A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides.
MICCAI (1)
Angel Cruz-Roa, Fabio A. González, Joseph Galaro, Alexander R. Judkins, David Ellison, Jennifer Baccon, Anant Madabhushi, Eduardo Romero
2011 — conf
An integrated texton and bag of words classifier for identifying anaplastic medulloblastomas.
EMBC
Joseph Galaro, Alexander R. Judkins, David Ellison, Jennifer Baccon, Anant Madabhushi
2001 J jnl
MIQR Active Learning on a Continuous Function and a Discontinuous Function.
Neural Comput. Appl.
Yonglong Wang, Bill Samson, David Ellison, Louis Natanson
1997 J jnl
Software cost estimation using an Albus perceptron (CMAC).
Inf. Softw. Technol.
Bill Samson, David Ellison, Pat Dugard