David Poole

Mainstream Engineering Corporation (United States) — United States

Computer Science · Physical Sciences

42h-index9.4kcitations243works0.02yr avg
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Research Topics

Bayesian Modeling and Causal Inference(89), AI-based Problem Solving and Planning(76), Logic, Reasoning, and Knowledge(74), Semantic Web and Ontologies(44), Data Management and Algorithms(29)

Publications242 total

Robot-Assisted Study of Finger Impedance Differentiation in Humans
ASME Letters in Dynamic Systems and Control·2025Open Access
The Emerging AHP Leadership Programme: unleashing the leadership potential of our AHP workforce
Physiotherapy·2025
Spectral sensor fusion for prediction of Li and Zr in rocks: Neural network and PLS methods
Chemometrics and Intelligent Laboratory Systems·2023· 6 cited
Artificial Intelligence
Cambridge University Press eBooks·2023· 32 cited
An exploratory assessment of the Bering-Chukchi-Beaufort Seas stock of bowhead whales using a stochastic population dynamics model
˜The œjournal of cetacean research and management. Special issue·2023· 2 citedOpen Access
<scp>Auto‐encoder</scp> neural network incorporating <scp>x‐ray</scp> fluorescence fundamental parameters with machine learning
X-Ray Spectrometry·2023· 9 citedOpen Access
Automatic neural network hyperparameter optimization for extrapolation: Lessons learned from visible and near-infrared spectroscopy of mango fruit
Chemometrics and Intelligent Laboratory Systems·2022· 21 cited
Probabilistic Programming Languages: Independent Choices and Deterministic Systems
ACM eBooks·2022· 7 cited
War, Women, and Post-conflict Empowerment
Zed Books·2021
A Search Algorithm for Latent Variable Models with Unbounded Domains
Proceedings of the AAAI Conference on Artificial Intelligence·2021Open Access
Lifted Aggregation and Skolemization for Directed Models
The MIT Press eBooks·2021
Domain Liftability
The MIT Press eBooks·2021
Structure learning for relational logistic regression: an ensemble approach
Data Mining and Knowledge Discovery·2021· 7 citedOpen Access
Entrepreneurs and SMEs in Rwanda the model pupil paradox
2021
INSPIRE standards as a framework for artificial intelligence applications: a landslide example
Natural hazards and earth system sciences·2020· 7 citedOpen Access
Entrepreneurs and SMEs in Rwanda
Bloomsbury Academic eBooks·2020· 6 cited
Knowledge Hypergraphs: Prediction Beyond Binary Relations
2020· 11 citedOpen Access
Conditioning on "and nothing else": Simple Models of Missing Data between Naive Bayes and Logistic Regression
2020
A Probabilistic Approach for Predicting Landslides by Learning a Self-Aligned Deep Convolutional Model.
arXiv (Cornell University)·2019· 1 citedOpen Access
Improved Knowledge Graph Embedding Using Background Taxonomic Information
Proceedings of the AAAI Conference on Artificial Intelligence·2019· 3 citedOpen Access
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Frequent Co-authors

Craig Boutilier(4), Nevin L. Zhang(4), Ronen I. Brafman(3), Holger H. Hoos(3), Alan K. Mackworth(3), Seyed Mehran Kazemi(3), Luc De Raedt(3), Carmel Domshlak(2), Sriraam Natarajan(2), Ramón López de Mántaras(2), Yang Xiang(2), Rubén Morales-Menéndez(2), Giuseppe Carenini(2), Jacek Kisyński(2), Adrian E. Raftery(1), Randy Goebel(1), Romas Aleliunas(1), Kristian Kersting(1), Stephen Muggleton(1), Ivan Bratko(1)