M. Pazzani

Most-cited papers

Content-Based Recommendation Systems
M. Pazzani, Daniel Billsus
2007The Adaptive Web2,912 citations
Semantic Scholar
Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
Eamonn J. Keogh, K. Chakrabarti, M. Pazzani, S. Mehrotra
2001Knowledge and Information Systems1,682 citations
Semantic Scholar
A Framework for Collaborative, Content-Based and Demographic Filtering
M. Pazzani
1999Artificial Intelligence Review1,648 citations
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Locally adaptive dimensionality reduction for indexing large time series databases
Eamonn J. Keogh, K. Chakrabarti, S. Mehrotra, M. Pazzani
2001ACM SIGMOD Conference1,314 citations
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Derivative Dynamic Time Warping
Eamonn J. Keogh, M. Pazzani
2001SDM1,308 citations
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An online algorithm for segmenting time series
Eamonn J. Keogh, Selina Chu, D. M. Hart, M. Pazzani
2001Proceedings 2001 IEEE International Conference on Data Mining1,267 citations
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Scaling up dynamic time warping for datamining applications
Eamonn J. Keogh, M. Pazzani
2000Knowledge Discovery and Data Mining942 citations Open access
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Segmenting Time Series: A Survey and Novel Approach
Eamonn J. Keogh, Selina Chu, D. M. Hart, M. Pazzani
2002714 citations Open access
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User Modeling for Adaptive News Access
Daniel Billsus, M. Pazzani
2000User modeling and user-adapted interaction591 citations
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Detecting Group Differences: Mining Contrast Sets
Stephen D. Bay, M. Pazzani
2001Data mining and knowledge discovery449 citations
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An energy-efficient mobile recommender system
Yong Ge, Hui Xiong, A. Tuzhilin, Keli Xiao +2 more
2010Knowledge Discovery and Data Mining371 citations
Semantic Scholar
Collaborative Filtering with the Simple Bayesian Classifier
Koji Miyahara, M. Pazzani
2000Pacific Rim International Conference on Artificial Intelligence339 citations
Semantic Scholar
Adaptive interfaces for ubiquitous web access
Daniel Billsus, Clifford Brunk, Craig S. Evans, Brian Gladish +1 more
2002CACM309 citations
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Improving mobile internet usability
George Buchanan, S. Farrant, Matt Jones, H. Thimbleby +2 more
2001The Web Conference298 citations
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Iterative Deepening Dynamic Time Warping for Time Series
Selina Chu, Eamonn J. Keogh, D. M. Hart, M. Pazzani
2002SDM289 citations
Semantic Scholar
A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases
Eamonn J. Keogh, M. Pazzani
2000Pacific-Asia Conference on Knowledge Discovery and Data Mining279 citations Open access
Semantic Scholar
A personal news agent that talks, learns and explains
Daniel Billsus, M. Pazzani
1999International Conference on Autonomous Agents271 citations Open access
Semantic Scholar
Learning augmented Bayesian classifiers: A comparison of distribution-based and classification-based approaches
Eamonn J. Keogh, M. Pazzani
1999International Conference on Artificial Intelligence and Statistics265 citations
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The UCI KDD archive of large data sets for data mining research and experimentation
Stephen D. Bay, D. Kibler, M. Pazzani, Padhraic Smyth
2000SKDD255 citations Open access
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Scaling up Dynamic Time Warping to Massive Dataset
Eamonn J. Keogh, M. Pazzani
1999European Conference on Principles of Data Mining and Knowledge Discovery251 citations Open access
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The Lowell database research self-assessment
S. Abiteboul, R. Agrawal, Phil Bernstein, Mike Carey +25 more
2003CACM241 citations Open access
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Detecting change in categorical data: mining contrast sets
Stephen D. Bay, M. Pazzani
1999Knowledge Discovery and Data Mining239 citations
Semantic Scholar
Error reduction through learning multiple descriptions
K. M. Ali, M. Pazzani
2004Machine-mediated learning205 citations Open access
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Knowledge discovery from data?
M. Pazzani
2000IEEE Intelligent Systems174 citations
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The utility of knowledge in inductive learning
M. Pazzani, D. Kibler
2004Machine-mediated learning166 citations Open access
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A learning agent for wireless news access
Daniel Billsus, M. Pazzani, James Chen
2000International Conference on Intelligent User Interfaces142 citations Open access
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Mining for proposal reviewers: lessons learned at the national science foundation
S. Hettich, M. Pazzani
2006Knowledge Discovery and Data Mining133 citations
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Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization
Rui Fan, Kamran Alipour, C. Bowd, M. Christopher +11 more
2022Ophthalmology Science129 citations Open access
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Relevance feedback retrieval of time series data
Eamonn J. Keogh, M. Pazzani
1999Annual International ACM SIGIR Conference on Research and Development in Information Retrieval116 citations Open access
Semantic Scholar
A Principal Components Approach to Combining Regression Estimates
C. Merz, M. Pazzani
1999Machine-mediated learning115 citations Open access
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Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data
R. Rawassizadeh, Elaheh Momeni, Chelsea Dobbins, J. Gharibshah +1 more
2016IEEE Transactions on Knowledge and Data Engineering98 citations Open access
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Acceptance of Rules Generated by Machine Learning among Medical Experts
M. Pazzani, S. Mani, W. Shankle
2001Methods of Information in Medicine92 citations
Semantic Scholar
Learning the Structure of Augmented Bayesian Classifiers
Eamonn J. Keogh, M. Pazzani
2002Int. J. Artif. Intell. Tools90 citations Open access
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Adaptive News Access
Daniel Billsus, M. Pazzani
2007The Adaptive Web87 citations
Semantic Scholar
Adaptive Web Site Agents
M. Pazzani, Daniel Billsus
1999International Conference on Autonomous Agents81 citations Open access
Semantic Scholar
Improvement of Collaborative Filtering with the Simple Bayesian Classifier 1
Koji Miyahara, M. Pazzani
200277 citations
Semantic Scholar
Locally adaptive dimensionality reduction for indexing large time series databases
K. Chakrabarti, Eamonn J. Keogh, S. Mehrotra, M. Pazzani
2002TODS73 citations Open access
Semantic Scholar
Energy-Efficient Integration of Continuous Context Sensing and Prediction into Smartwatches
R. Rawassizadeh, M. Tomitsch, Manouchehr Nourizadeh, Elaheh Momeni +3 more
2015Italian National Conference on Sensors66 citations Open access
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An indexing scheme for fast similarity search in large time series databases
Eamonn J. Keogh, M. Pazzani
1999Proceedings. Eleventh International Conference on Scientific and Statistical Database Management63 citations
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Representation of electronic mail filtering profiles: a user study
M. Pazzani
2000International Conference on Intelligent User Interfaces58 citations
Semantic Scholar
Manifestation of virtual assistants and robots into daily life: vision and challenges
R. Rawassizadeh, Taylan K. Sen, S. Kim, Christian Meurisch +3 more
2019CCF Transactions on Pervasive Computing and Interaction48 citations
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A Comprehensive Explanation Framework for Biomedical Time Series Classification
Praharsh Ivaturi, Matteo Gadaleta, A. Pandey, M. Pazzani +2 more
2021IEEE journal of biomedical and health informatics45 citations Open access
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Workshop on recommender systems: algorithms and evaluation
I. Soboroff, Charles K. Nicholas, M. Pazzani
1999SIGF34 citations Open access
Semantic Scholar
Two-Stage Machine Learning model for guideline development
S. Mani, W. Shankle, Malcolm B. Dick, M. Pazzani
1999Artif. Intell. Medicine34 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
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Combinatorial Optimization in Rapidly Mutating Drug-Resistant Viruses
R. Lathrop, M. Pazzani
1999Journal of combinatorial optimization27 citations
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Expert-Informed, User-Centric Explanations for Machine Learning
M. Pazzani, S. Soltani, Robert A. Kaufman, Samson Qian +1 more
2022AAAI Conference on Artificial Intelligence25 citations Open access
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Active learning using on-line algorithms
Chris Mesterharm, M. Pazzani
2011Knowledge Discovery and Data Mining25 citations
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Ghost Imputation: Accurately Reconstructing Missing Data of the Off Period
R. Rawassizadeh, Hamidreza Keshavarz, M. Pazzani
2020IEEE Transactions on Knowledge and Data Engineering23 citations
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Characterizing Model Errors and Di erences
Stephen D. Bay, M. Pazzani
200022 citations
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