Geoffrey G. Towell

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18ranked-venue papers

13as first author

0since 2021 · last 2000

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 18 · 13 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence 12 papers		Deep learning architectures and training · 30% Knowledge representation and reasoning · 16% Reinforcement learning · 14%
Databases, data mining, and information retrieval 2 papers		Information retrieval · 60% Data mining · 40%

Topics — the 19 heaviest of 21, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Deep learning architectures and training › hybrid neural network knowledge-based neural networks	0.1	6	1994	Knowledge-Based Artificial Neural Networks · Artif. Intell. 1994 Using Symbolic Learning to Improve Knowledge-Based Neural Networks · AAAI 1992 Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules · NIPS 1991
Machine learning › Reinforcement learning preference learning	0.0	1	2000	Learning Priorities From Noisy Examples · ICML 2000
Data mining anomaly detection	0.0	1	2000	Local Expert Autoassociators for Anomaly Detection · ICML 2000
Machine learning › Learning paradigms semi-supervised learning	0.0	1	1995	Using Unlabeled Data for Supervised Learning · NIPS 1995
Machine learning › Learning paradigms supervised learning	0.0	1	1995	Using Unlabeled Data for Supervised Learning · NIPS 1995
Information retrieval distributed information retrieval	0.0	1	1995	Learning Collection Fusion Strategies for Information Retrieval · ICML 1995
Information retrieval › distributed information retrieval result fusion	0.0	1	1995	Learning Collection Fusion Strategies for Information Retrieval · ICML 1995
Information retrieval retrieval models	0.0	1	1995	Learning Collection Fusion Strategies for Information Retrieval · ICML 1995
Knowledge, reasoning and agents › Knowledge representation and reasoning neuro-symbolic reasoning	0.0	1	1994	Knowledge-Based Artificial Neural Networks · Artif. Intell. 1994
Machine learning › Graph learning geometric learning	0.0	1	1992	A Knowledge-Based Model of Geometry Learning · NIPS 1992
Knowledge, reasoning and agents › Knowledge representation and reasoning knowledge-based systems	0.0	1	1992	A Knowledge-Based Model of Geometry Learning · NIPS 1992
Machine learning › Representation and self-supervised learning › automated feature generation constructive induction	0.0	1	1991	Constructive Induction in Knowledge-Based Neural Networks · ML 1991
Machine learning › Trustworthy machine learning interpretability	0.0	1	1991	Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules · NIPS 1991
Machine learning › Trustworthy machine learning › interpretability › logic-based explanation › rule-based explanation rule extraction	0.0	1	1991	Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules · NIPS 1991
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge acquisition domain theory refinement	0.0	1	1990	Refinement ofApproximate Domain Theories by Knowledge-Based Neural Networks · AAAI 1990
Machine learning › Trustworthy machine learning › interpretability explanation-based learning	0.0	1	1989	Combining Explanation-Based Learning and Artificial Neural Networks · ML 1989
Machine learning › Deep learning architectures and training hybrid learning	0.0	1	1989	Combining Explanation-Based Learning and Artificial Neural Networks · ML 1989
Machine learning › Kernel, tree and ensemble methods › ensemble learning neural network integration	0.0	1	1989	Combining Explanation-Based Learning and Artificial Neural Networks · ML 1989
Bioinformatics and computational biology › genome annotation gene prediction	0.0	1	1990	Training Knowledge-Based Neural Networks to Recognize Genes · NIPS 1990

Methods — techniques the papers use, named apart from their topics

knowledge-based neural networks · 0.0local expert autoassociator · 0.0unlabeled data · 0.0rule-based knowledge · 0.0neural network · 0.0symbolic learning · 0.0knowledge-based modeling · 0.0rule extraction · 0.0constructive induction · 0.0knowledge-based neural network · 0.0explanation-based learning · 0.0artificial neural network · 0.0

Year	Publication	Venue	Position
2000	Local Expert Autoassociators for Anomaly Detection Geoffrey G. Towell	ICML	1
2000	Learning Priorities From Noisy Examples Geoffrey G. Towell, Thomas Petsche, Michael R. Miller	ICML	1
1998	Disambiguating Highly Ambiguous Words Geoffrey G. Towell, Ellen M. Voorhees	Comput. Linguistics	1
1995	Learning Collection Fusion Strategies for Information Retrieval Geoffrey G. Towell, Ellen M. Voorhees, Narendra Kumar Gupta, Ben Johnson-Laird	ICML	1
1995	Using Unlabeled Data for Supervised Learning Geoffrey G. Towell	NIPS	1
1995	Book Review: Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau. Kluwer Academic Publishers, 1993 Geoffrey G. Towell	Mach. Learn.	1
1994	Knowledge-Based Artificial Neural Networks Geoffrey G. Towell, Jude W. Shavlik	Artif. Intell.	1
1993	Extracting Refined Rules from Knowledge-Based Neural Networks Geoffrey G. Towell, Jude W. Shavlik	Mach. Learn.	1
1992	Using Symbolic Learning to Improve Knowledge-Based Neural Networks Geoffrey G. Towell, Jude W. Shavlik	AAAI	1
1992	A Knowledge-Based Model of Geometry Learning Geoffrey G. Towell, Richard Lehrer	NIPS	1
1991	Constructive Induction in Knowledge-Based Neural Networks Geoffrey G. Towell, Mark W. Craven, Jude W. Shavlik	ML	1
1991	Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules Geoffrey G. Towell, Jude W. Shavlik	NIPS	1
1991	Symbolic and Neural Learning Algorithms: An Experimental Comparison Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell	Mach. Learn.	3
1990	Refinement ofApproximate Domain Theories by Knowledge-Based Neural Networks Geoffrey G. Towell, Jude W. Shavlik, Michiel O. Noordewier	AAAI	1
1990	Training Knowledge-Based Neural Networks to Recognize Genes Michiel O. Noordewier, Geoffrey G. Towell, Jude W. Shavlik	NIPS	2
1989	Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems Douglas H. Fisher, Kathleen B. McKusick, Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell	ML	5
1989	Combining Explanation-Based Learning and Artificial Neural Networks Jude W. Shavlik, Geoffrey G. Towell	ML	2
1989	An Experimental Comparison of Symbolic and Connectionist Learning Algorithms Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, Alan Gove	IJCAI	3