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Clifford Brunk · SciRah

Researcher profile · Semantic Scholar

Clifford Brunk

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Clifford Brunk — researcher profile on SciRah

h-index: 15
Works: 31
Citations: 1,750

Most-cited papers

Reducing Misclassification Costs
M. Pazzani, C. Merz, P. Murphy, K. M. Ali +2 more
1994International Conference on Machine Learning380 citations
Semantic Scholar
Adaptive interfaces for ubiquitous web access
Daniel Billsus, Clifford Brunk, Craig S. Evans, Brian Gladish +1 more
2002CACM309 citations
Semantic Scholar
Multilingual Language Processing From Bytes
Daniel Gillick, Clifford Brunk, O. Vinyals, A. Subramanya
2015North American Chapter of the Association for Computational Linguistics232 citations Open access
Semantic Scholar
Pruning Decision Trees with Misclassification Costs
J. P. Bradford, Clayton Kunz, Ron Kohavi, Clifford Brunk +1 more
1998European Conference on Machine Learning223 citations
Semantic Scholar
MineSet: An Integrated System for Data Mining
Clifford Brunk, J. Kelly, Ron Kohavi
1997Knowledge Discovery and Data Mining140 citations
Semantic Scholar
A Knowledge-intensive Approach to Learning Relational Concepts
M. Pazzani, Clifford Brunk, G. Silverstein
1991ML Workshop101 citations
Semantic Scholar
An Investigation of Noise-Tolerant Relational Concept Learning Algorithms
Clifford Brunk, M. Pazzani
1991ML Workshop99 citations Open access
Semantic Scholar
Reverse Engineering Configurations of Neural Text Generation Models
Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk +2 more
2020Annual Meeting of the Association for Computational Linguistics39 citations Open access
Semantic Scholar
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning
M. Pazzani, Clifford Brunk
1993AAAI Conference on Artificial Intelligence34 citations
Semantic Scholar
Detecting and correcting errors in ruled-based expert systems : an integration of empirical and explanation-based learning
M. Pazzani, Clifford Brunk
201530 citations
Semantic Scholar
BagBoo: a scalable hybrid bagging-the-boosting model
Dmitry Pavlov, Alexey V. Gorodilov, Clifford Brunk
2010International Conference on Information and Knowledge Management29 citations
Semantic Scholar
Detecting and correcting errors in rule-based expert systems: an integration of empirical and explanation-based learning
M. Pazzani, Clifford Brunk
1991Knowledge Acquistion28 citations Open access
Semantic Scholar
Modeling and visualizing geo-sensitive queries based on user clicks
Ziming Zhuang, Clifford Brunk, C. Lee Giles
2008International Workshop on Location and the Web20 citations
Semantic Scholar
Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL
G. Semeraro, F. Esposito, Donato Malerba, Clifford Brunk +1 more
1994International Workshop/Symposium on Logic-based Program Synthesis and Transformation17 citations
Semantic Scholar
An information-based approach to integrating empirical and explanation-based learning
M. Pazzani, Clifford Brunk, G. Silverstein
199116 citations
Semantic Scholar
Analysis and automatic classification of web search queries for diversification requirements
S. Bhatia, Clifford Brunk, P. Mitra
2012ASIS&T Annual Meeting11 citations Open access
Semantic Scholar
Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study
Dara Bahri, Yi Tay, Che Zheng, Clifford Brunk +2 more
2020Web Search and Data Mining10 citations Open access
Semantic Scholar
An investigation of knowledge intensive approaches to concept learning and theory refinement
Clifford Brunk
199610 citations
Semantic Scholar
A Lexical Based Semantic Bias for Theory Revision
Clifford Brunk, M. Pazzani
1995International Conference on Machine Learning8 citations
Semantic Scholar
Traps and pitfalls when learning logical theories : a case study with FOIL and FOCL
G. Semeraro, Clifford Brunk, M. Pazzani
19936 citations
Semantic Scholar
A Linguistically Based Semantic Bias for Theory Revision
Clifford Brunk
19984 citations
Semantic Scholar
Using Machine Translation to Localize Task Oriented NLG Output
Scott Roy, Clifford Brunk, Kyu-Young Kim, Justin Zhao +5 more
2021arXiv.org2 citations
Semantic Scholar
Towards Click-Based Models of Geographic Interests in Web Search
Ziming Zhuang, Clifford Brunk, P. Mitra, C. Giles
20082008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology2 citations
Semantic Scholar
Knowledge Acquisition with a Knowledge-Intensive Machine Learning System
Clifford Brunk
19982 citations
Semantic Scholar
Finding Accurate Frontiers : A Knowledge-Intensive Approach to Relational Learning
Michael Pazzani, Clifford Brunk
19931 citations
Semantic Scholar
Appears in ECML-98 as a research note Pruning Decision Trees with Misclassi cation Costs
J. P. Bradford, Clayton Kunz, Ron Kohavi, Clifford Brunk +1 more
20150 citations
Semantic Scholar
Appears in Ecml-98 as a Research Note a Longer Version Is Available as Ece Tr 98-3, Purdue University Pruning Decision Trees with Misclassiication Costs 1 Pruning Decision Trees
Clayton Kunz, Ron Kohavi, Clifford Brunk, C. Brodley
20080 citations
Semantic Scholar
Case studies: Commercial, multiple mining tasks systems: mineSet
Clifford Brunk, Ron Kohavi
20020 citations
Semantic Scholar
D2.2.5 MineSet TM
Clifford Brunk, Ron Kohavi
19980 citations
Semantic Scholar
Finding Accurate Fro A Knowledge-Intensive
M. Pazzani, Clifford Brunk
19930 citations
Semantic Scholar
A Finding Accurate Frontiers: Knowledge-Intensive Approach to Relational
Michael Pazzani, Clifford Brunk
0 citations
Semantic Scholar

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