David Poole - RankMe

154 papers A* 34A 19B 6C 2Journal 59Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Why Isn't Relational Learning Taking Over the World? AAAI David Poole
2025	B	`conf`	A Comparison of Real-Time User Classification Methods using Interaction Data for Open-ended Learning. EDM Rohit Murali, Cristina Conati, David Poole
2025	J	`jnl`	Why Isn't Relational Learning Taking Over the World? CoRR David Poole
2023	J	`jnl`	Knowledge Hypergraph Embedding Meets Relational Algebra. J. Mach. Learn. Res. Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole
2022	J	`jnl`	Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental Parameters with Machine Learning. CoRR Matthew Dirks, David Poole
2022	—	`ch.`	Probabilistic Programming Languages: Independent Choices and Deterministic Systems. Probabilistic and Causal Inference David Poole, Frank Wood
2021	J	`jnl`	Knowledge Hypergraph Embedding Meets Relational Algebra. CoRR Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole
2021	J	`jnl`	Structure learning for relational logistic regression: an ensemble approach. Data Min. Knowl. Discov. Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2020	J	`jnl`	Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves. CoRR Matthew C. Dirks, David Poole
2020	A*	`conf`	Knowledge Hypergraphs: Prediction Beyond Binary Relations. IJCAI Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole
2020	A*	`conf`	Predicting Landslides Using Locally Aligned Convolutional Neural Networks. IJCAI Ainaz Hajimoradlou, Gioachino Roberti, David Poole
2019	J	`jnl`	A Probabilistic Approach for Predicting Landslides by Learning a Self-Aligned Deep Convolutional Model. CoRR Ainaz Hajimoradlou, Gioachino Roberti, David Poole
2019	A*	`conf`	Improved Knowledge Graph Embedding Using Background Taxonomic Information. AAAI Bahare Fatemi, Siamak Ravanbakhsh, David Poole
2019	J	`jnl`	Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations. CoRR Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole
2018	J	`jnl`	Bridging Weighted Rules and Graph Random Walks for Statistical Relational Models. Frontiers Robotics AI Seyed Mehran Kazemi, David Poole
2018	J	`jnl`	Improved Knowledge Graph Embedding using Background Taxonomic Information. CoRR Bahare Fatemi, Siamak Ravanbakhsh, David Poole
2018	J	`jnl`	Interactive Visualization for Group Decision Analysis. Int. J. Inf. Technol. Decis. Mak. Sanjana Bajracharya, Giuseppe Carenini, Brent C. Chamberlain, Kai Di Chen, Daniel Klein, David Poole, Hamed Taheri, Gunilla Öberg
2018	J	`jnl`	Record Linkage to Match Customer Names: A Probabilistic Approach. CoRR Bahare Fatemi, Seyed Mehran Kazemi, David Poole
2018	A*	`conf`	RelNN: A Deep Neural Model for Relational Learning. AAAI Seyed Mehran Kazemi, David Poole
2018	A*	`conf`	SimplE Embedding for Link Prediction in Knowledge Graphs. NeurIPS Seyed Mehran Kazemi, David Poole
2018	J	`jnl`	SimplE Embedding for Link Prediction in Knowledge Graphs. CoRR Seyed Mehran Kazemi, David Poole
2018	A*	`conf`	Structure Learning for Relational Logistic Regression: An Ensemble Approach. KR Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2018	J	`jnl`	Structure Learning for Relational Logistic Regression: An Ensemble Approach. CoRR Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2017	J	`jnl`	Comparing Aggregators for Relational Probabilistic Models. CoRR Seyed Mehran Kazemi, Bahare Fatemi, Alexandra Kim, Zilun Peng, Moumita Roy Tora, Xing Zeng, Matthew C. Dirks, David Poole
2017	J	`jnl`	Domain Recursion for Lifted Inference with Existential Quantifiers. CoRR Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole
2017	J	`jnl`	Negative probabilities in probabilistic logic programs. Int. J. Approx. Reason. David Buchman, David Poole
2017	J	`jnl`	RelNN: A Deep Neural Model for Relational Learning. CoRR Seyed Mehran Kazemi, David Poole
2017	A	`conf`	Why Rules are Complex: Real-Valued Probabilistic Logic Programs are not Fully Expressive. UAI David Buchman, David Poole
2016	J	`jnl`	A Learning Algorithm for Relational Logistic Regression: Preliminary Results. CoRR Bahare Fatemi, Seyed Mehran Kazemi, David Poole
2016	A*	`conf`	Knowledge Compilation for Lifted Probabilistic Inference: Compiling to a Low-Level Language. KR Seyed Mehran Kazemi, David Poole
2016	—	`conf`	Lazy Arithmetic Circuits. AAAI Workshop: Beyond NP Seyed Mehran Kazemi, David Poole
2016	A*	`conf`	Negation Without Negation in Probabilistic Logic Programming. KR David Buchman, David Poole
2016	—	`conf`	New Liftable Classes for First-Order Probabilistic Inference. NIPS Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole
2016	J	`jnl`	New Liftable Classes for First-Order Probabilistic Inference. CoRR Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole
2016	A*	`conf`	Probabilistic Models over Weighted Orderings: Fixed-Parameter Tractable Variable Elimination. KR Thomas Lukasiewicz, Maria Vanina Martinez, David Poole, Gerardo Ignacio Simari
2016	—	`conf`	Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain. Canadian AI Matthew C. Dirks, Andrew Csinger, Andrew Bamber, David Poole
2016	—	`book`	Statistical Relational Artificial Intelligence: Logic, Probability, and Computation Statistical Relational Artificial Intelligence Luc De Raedt, Kristian Kersting, Sriraam Natarajan, David Poole
2016	J	`jnl`	Why is Compiling Lifted Inference into a Low-Level Language so Effective? CoRR Seyed Mehran Kazemi, David Poole
2015	J	`jnl`	Reports of the AAAI 2014 Conference Workshops. AI Mag. Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
2015	A*	`conf`	Representing Aggregators in Relational Probabilistic Models. AAAI David Buchman, David Poole
2014	J	`jnl`	A Decision Support System for the Design and Evaluation of Sustainable Wastewater Solutions. IEEE Trans. Computers Brent C. Chamberlain, Giuseppe Carenini, Gunilla Öberg, David Poole, Hamed Taheri
2014	A*	`conf`	Elimination Ordering in Lifted First-Order Probabilistic Inference. AAAI Seyed Mehran Kazemi, David Poole
2014	—	`conf`	Population Size Extrapolation in Relational Probabilistic Modelling. SUM David Poole, David Buchman, Seyed Mehran Kazemi, Kristian Kersting, Sriraam Natarajan
2014	—	`conf`	Preface. StarAI@AAAI Guy Van den Broeck, Kristian Kersting, Sriraam Natarajan, David Poole
2014	A*	`conf`	Relational Logistic Regression. KR Seyed Mehran Kazemi, David Buchman, Kristian Kersting, Sriraam Natarajan, David Poole
2014	—	`conf`	Relational Logistic Regression: The Directed Analog of Markov Logic Networks. StarAI@AAAI Seyed Mehran Kazemi, David Buchman, Kristian Kersting, Sriraam Natarajan, David Poole
2014	—	`conf`	Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain. StarAI@AAAI Matthew C. Dirks, Andrew Csinger, Andrew Bamber, David Poole
2013	J	`jnl`	Building a Stochastic Dynamic Model of Application Use CoRR Peter Gorniak, David Poole
2013	A*	`conf`	Cyclic Causal Models with Discrete Variables: Markov Chain Equilibrium Semantics and Sample Ordering. IJCAI David Poole, Mark Crowley
2013	J	`jnl`	Foundations of model construction in feature-based semantic science. J. Log. Comput. David Poole
2013	—	`conf`	On Integrating Ontologies with Relational Probabilistic Models. StarAI@AAAI Chia-Li Kuo, David Poole
2013	—	`conf`	Preface. StarAI@AAAI Vibhav Gogate, Kristian Kersting, Sriraam Natarajan, David Poole
2013	A*	`conf`	Probabilistic Reasoning with Undefined Properties in Ontologically-Based Belief Networks. IJCAI Chia-Li Kuo, David Buchman, Arzoo Katiyar, David Poole
2013	J	`jnl`	Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (1994) CoRR Ramón López de Mántaras, David Poole
2013	J	`jnl`	Reasoning With Conditional Ceteris Paribus Preference Statem CoRR Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole
2013	J	`jnl`	Symmetric Collaborative Filtering Using the Noisy Sensor Model CoRR Rita Sharma, David Poole
2013	J	`jnl`	The AAAI-13 Conference Workshops. AI Mag. Vikas Agrawal, Christopher Archibald, Mehul Bhatt, Hung Bui, Diane J. Cook, Juan Cortés, Christopher W. Geib, Vibhav Gogate, Hans W. Guesgen, Dietmar Jannach, Michael Johanson, Kristian Kersting, George Dimitri Konidaris, Lars Kotthoff, Martin Michalowski, Sriraam Natarajan, Barry O'Sullivan, Marc Pickett, Vedran Podobnik, David Poole, Lokendra Shastri, Amarda Shehu, Gita Sukthankar
2012	A*	`conf`	A Search Algorithm for Latent Variable Models with Unbounded Domains. AAAI Michael Chiang, David Poole
2012	—	`conf`	Aggregation and Population Growth: The Relational Logistic Regression and Markov Logic Cases. StarAI@UAI David Poole, David Buchman, Sriraam Natarajan, Kristian Kersting
2012	J	`jnl`	Constraint Processing in Lifted Probabilistic Inference CoRR Jacek Kisynski, David Poole
2012	J	`jnl`	Efficient Inference in Large Discrete Domains CoRR Rita Sharma, David Poole
2012	J	`jnl`	ILP turns 20 - Biography and future challenges. Mach. Learn. Stephen H. Muggleton, Luc De Raedt, David Poole, Ivan Bratko, Peter A. Flach, Katsumi Inoue, Ashwin Srinivasan
2012	J	`jnl`	Nonparametric Bayesian Logic CoRR Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole
2012	A	`conf`	On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models. AISTATS David Buchman, Mark Schmidt, Shakir Mohamed, David Poole, Nando de Freitas
2012	J	`jnl`	Reference classes and relational learning. Int. J. Approx. Reason. Michael Chiang, David Poole
2012	J	`jnl`	Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision Making CoRR Mark Crowley, John Nelson, David Poole
2011	J	`jnl`	CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements CoRR Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole
2011	B	`conf`	Logic, Probability and Computation: Foundations and Issues of Statistical Relational AI. LPNMR David Poole
2011	A*	`conf`	Policy Gradient Planning for Environmental Decision Making with Existing Simulators. AAAI Mark Crowley, David Poole
2011	J	`jnl`	Towards Completely Lifted Search-based Probabilistic Inference CoRR David Poole, Fahiem Bacchus, Jacek Kisynski
2010	—	`ed.`	2nd International Workshop on Statistical Relational AI (StaRAI-12), held at the Uncertainty in Artificial Intelligence Conference (UAI 2012), Catalina Island, CA, USA, August 18, 2012 StarAI@UAI Henry A. Kautz, Kristian Kersting, Sriraam Natarajan, David Poole
2010	J	`jnl`	A framework for ontologically-grounded probabilistic matching. Int. J. Approx. Reason. Rita Sharma, David Poole, Clinton Smyth
2010	—	`book`	Artificial Intelligence - Foundations of Computational Agents. David Poole, Alan K. Mackworth
2010	—	`conf`	Model AI Assignments. EAAI Todd W. Neller, John DeNero, Dan Klein, Sven Koenig, William Yeoh, Xiaoming Zheng, Kenny Daniel, Alex Nash, Zachary Dodds, Giuseppe Carenini, David Poole, Christopher Brooks
2010	B	`conf`	Probabilistic Relational Learning and Inductive Logic Programming at a Global Scale. ILP David Poole
2010	A*	`ed.`	Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010 AAAI Maria Fox, David Poole
2010	A*	`conf`	Towards a Logic of Feature-Based Semantic Science Theories. KR David Poole
2009	A	`conf`	Constraint Processing in Lifted Probabilistic Inference. UAI Jacek Kisynski, David Poole
2009	—	`conf`	Designing and deploying usetube, google's global user experience observation and recording system. CHI Extended Abstracts Mark LaRosa, David Poole, Rudy Schusteritsch
2009	—	`conf`	Incremental EM for Latent-class Relational Models. MLG/SRL@ILP Michael Chiang, David Poole
2009	A*	`conf`	Lifted Aggregation in Directed First-Order Probabilistic Models. IJCAI Jacek Kisynski, David Poole
2009	—	`conf`	Lifted Aggregation in Directed First-order Probabilistic Models. MLG/SRL@ILP Jacek Kisynski, David Poole
2009	J	`jnl`	Ontology Design for Scientific Theories That Make Probabilistic Predictions. IEEE Intell. Syst. David Poole, Clinton Smyth, Rita Sharma
2009	A	`conf`	Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision Making. UAI Mark Crowley, John Nelson, David Poole
2008	J	`jnl`	Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace. Interact. Comput. Saleema Amershi, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, David Poole
2008	—	`conf`	Semantic Science and Machine-Accessible Scientific Theories. AAAI Spring Symposium: Semantic Scientific Knowledge Integration David Poole, Clinton Smyth, Rita Sharma
2008	—	`conf`	Semantic Science: Ontologies, Data and Probabilistic Theories. URSW (LNCS Vol.) David Poole, Clinton Smyth, Rita Sharma
2008	—	`ch.`	The Independent Choice Logic and Beyond. Probabilistic Inductive Logic Programming David Poole
2007	—	`conf`	A System for Ontologically-Grounded Probabilistic Matching. BMA Rita Sharma, David Poole, Clinton Smyth
2007	—	`conf`	Adding Local Constraints to Bayesian Networks. Canadian AI Mark Crowley, Brent Boerlage, David Poole
2007	A*	`conf`	Logical Generative Models for Probabilistic Reasoning about Existence, Roles and Identity. AAAI David Poole
2005	B	`conf`	Designing CIspace: pedagogy and usability in a learning environment for AI. ITiCSE Saleema Amershi, N. Arksey, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, Heather Maclaren, David Poole
2005	A	`conf`	Nonparametric Bayesian Logic. UAI Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole
2005	A*	`conf`	Probabilistic Reasoning with Hierarchically Structured Variables. IJCAI Rita Sharma, David Poole
2005	—	`conf`	Probability and Equality: A Probabilistic Model of Identity Uncertainty. Canadian AI Rita Sharma, David Poole
2005	C	`conf`	Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching. ECSQARU David Poole, Clinton Smyth
2004	J	`jnl`	CP-nets: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements. J. Artif. Intell. Res. Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole
2004	J	`jnl`	Diagnosis by a waiter and a Mars explorer. Proc. IEEE Nando de Freitas, Richard Dearden, Frank Hutter, Rubén Morales-Menéndez, Jim Mutch, David Poole
2004	A*	`conf`	Estimating the size of the telephone universe: a Bayesian Mark-recapture approach. KDD David Poole
2004	J	`jnl`	Preference-Based Constrained Optimization with CP-Nets. Comput. Intell. Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole
2004	A*	`conf`	Qualitative Probabilistic Matching with Hierarchical Descriptions. KR Clinton Smyth, David Poole
2003	A	`conf`	Efficient Inference in Large Discrete Domains. UAI Rita Sharma, David Poole
2003	C	`conf`	Estimation and control of industrial processes with particle filters. ACC Rubén Morales-Menéndez, Nando de Freitas, David Poole
2003	A*	`conf`	First-order probabilistic inference. IJCAI David Poole
2003	A	`conf`	Towards more conversational and collaborative recommender systems. IUI Giuseppe Carenini, Jocelyin Smith, David Poole
2002	—	`conf`	Real-Time Monitoring of Complex Industrial Processes with Particle Filters. NIPS Rubén Morales-Menéndez, Nando de Freitas, David Poole
2001	A	`conf`	Symmetric Collaborative Filtering Using the Noisy Sensor Model. UAI Rita Sharma, David Poole
2000	J	`jnl`	Abducing through negation as failure: stable models within the independent choice logic. J. Log. Program. David Poole
2000	A	`conf`	Building a Stochastic Dynamic Model of Application Use. UAI Peter Gorniak, David Poole
2000	—	`conf`	Logic, Knowledge Representation, and Bayesian Decision Theory. Computational Logic David Poole
2000	—	`conf`	Predicting Future User Actions by Observing Unmodified Applications. AAAI/IAAI Peter Gorniak, David Poole
1999	A	`conf`	Reasoning With Conditional Ceteris Paribus Preference Statements. UAI Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole
1998	—	`book`	Computational intelligence - a logical approach. David Poole, Alan K. Mackworth, Randy Goebel
1998	A	`conf`	Context-specific approximation in probabilistic inference. UAI David Poole
1998	J	`jnl`	Decision Theory, the Situation Calculus and Conditional Plans. Electron. Trans. Artif. Intell. David Poole
1997	—	`conf`	Probabilistic Partial Evaluation: Exploiting Rule Structure in Probabilistic Inference. IJCAI David Poole
1997	J	`jnl`	The Independent Choice Logic for Modelling Multiple Agents Under Uncertainty. Artif. Intell. David Poole
1996	A	`conf`	A Framework for Decision-Theoretic Planning I: Combining the Situation Calculus, Conditional Plans, Probability and Utility. UAI David Poole
1996	A	`conf`	Adapting Decision Theory for Multimedia Presentation Design: User Modelling for Intent-based Authoring. ECAI Andrew Csinger, David Poole
1996	—	`conf`	Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations. AAAI/IAAI, Vol. 2 Craig Boutilier, David Poole
1996	J	`jnl`	Probabilistic Conflicts in a Search Algorithm for Estimating Posterior Probabilities in Bayesian Networks. Artif. Intell. David Poole
1995	A	`conf`	Exploiting the Rule Structure for Decision Making within the Independent Choice Logic. UAI David Poole
1995	A*	`conf`	Logic Programming for Robot Control. IJCAI David Poole
1994	J	`jnl`	AI Meets Authoring: User Models for Intelligent Multimedia. Artif. Intell. Rev. Andrew Csinger, Kellogg S. Booth, David Poole
1994	J	`jnl`	Representing Diagnosis Knowledge. Ann. Math. Artif. Intell. David Poole
1994	A	`ed.`	UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, Seattle, Washington, USA, July 29-31, 1994 UAI Ramón López de Mántaras, David Poole
1993	A*	`conf`	Average-Case Analysis of a Search Algorithm for Estimating Prior and Posterior Probabilities in Bayesian Networks with Extreme Probabilities. IJCAI David Poole
1993	A*	`conf`	Hypothetically Speaking Default Reasoning and Discourse-Structure. IJCAI Andrew Csinger, David Poole
1993	J	`jnl`	Logic Programming, Abduction and Probability - A Top-Down Anytime Algorithm for Estimating Prior and Posterior Probabilities. New Gener. Comput. David Poole
1993	J	`jnl`	Multiply Sectioned Bayesian Networks and Junction Forests for Large Knowledge-Based Systems. Comput. Intell. Yang Xiang, David Poole, Michael P. Beddoes
1993	J	`jnl`	Multiply sectioned Bayesian networks for neuromuscular diagnosis. Artif. Intell. Medicine Yang Xiang, B. Pant, Andrew Eisen, Michael P. Beddoes, David Poole
1993	J	`jnl`	Probabilistic Horn Abduction and Bayesian Networks. Artif. Intell. David Poole
1993	A	`conf`	The use of conflicts in searching Bayesian networks. UAI David Poole
1992	A	`conf`	Exploring Localization in Bayesian Networks for Large Expert Systems. UAI Yang Xiang, David Poole, Michael P. Beddoes
1992	—	`conf`	Logic Programming, Abduction and Probability. FGCS David Poole
1991	J	`jnl`	Compiling a Default Reasoning System into Prolog. New Gener. Comput. David Poole
1991	A*	`conf`	Query Answering in Circumscription. IJCAI Nicolas Helft, Katsumi Inoue, David Poole
1991	A	`conf`	Representing Bayesian Networks Within Probabilistic Horn Abduction. UAI David Poole
1991	A*	`conf`	Representing Diagnostic Knowledge for Probabilistic Horn Abduction. IJCAI David Poole
1991	J	`jnl`	The Effect of Knowledge on Belief: Conditioning, Specificity and the Lottery Paradox in Default Reasoning. Artif. Intell. David Poole
1990	J	`jnl`	A methodology for using a default and abductive reasoning system. Int. J. Intell. Syst. David Poole
1989	A	`conf`	Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra? UAI Yang Xiang, Michael P. Beddoes, David Poole
1989	J	`jnl`	Explanation, prediction: an architecture for default, abductive reasoning. Comput. Intell. David Poole
1989	—	`conf`	From Utterance to Belief via Presupposition: Default Logic in User-Modelling. KBCS Andrew Csinger, David Poole
1989	A*	`conf`	Normality and Faults in Logic-Based Diagnosis. IJCAI David Poole
1989	A*	`conf`	What the Lottery Paradox Tells Us About Default Reasoning. KR David Poole
1988	J	`jnl`	A Logical Framework for Default Reasoning. Artif. Intell. David Poole
1988	—	`conf`	Representing Knowledge for Logic-Based Diagnosis. FGCS David Poole
1987	A*	`conf`	Variables in Hypotheses. IJCAI David Poole
1986	B	`conf`	Gracefully adding negation and disjunction to Prolog. ICLP David Poole, Randy Goebel
1986	B	`conf`	Using Definite Clauses and Integrity Constraints as the Basis for a Theory Formation Approach to Diagnostic Reasoning. ICLP Randy Goebel, Koichi Furukawa, David Poole
1985	J	`jnl`	On eliminating loops in Prolog. ACM SIGPLAN Notices David Poole, Randy Goebel
1985	A*	`conf`	On the Comparison of Theories: Preferring the Most Specific Explanation. IJCAI David Poole
1984	—	`conf`	A Logical System for Default Reasoning. NMR David Poole