| Year |
Citation |
Score |
| 2019 |
Rawassizadeh R, Dobbins C, Akbari M, Pazzani M. Indexing Multivariate Mobile Data through Spatio-Temporal Event Detection and Clustering Sensors. 19: 448-448. PMID 30678263 DOI: 10.3390/S19030448 |
0.342 |
|
| 2019 |
Rawassizadeh R, Keshavarz H, Pazzani M. Ghost Imputation: Accurately Reconstructing Missing Data of the Off Period Ieee Transactions On Knowledge and Data Engineering. 1-1. DOI: 10.1109/Tkde.2019.2914653 |
0.323 |
|
| 2016 |
Rawassizadeh R, Momeni E, Dobbins C, Gharibshah J, Pazzani M. Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data Ieee Transactions On Knowledge and Data Engineering. 28: 3098-3112. DOI: 10.1109/Tkde.2016.2592527 |
0.385 |
|
| 2007 |
Pazzani MJ, Billsus D. Content-based recommendation systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4321: 325-341. |
0.756 |
|
| 2007 |
Billsus D, Pazzani MJ. Adaptive news access Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4321: 550-570. |
0.741 |
|
| 2005 |
Abiteboul S, Agrawal R, Bernstein P, Carey M, Ceri S, Croft B, DeWitt D, Franklin M, Molina HG, Gawlick D, Gray J, Haas L, Halevy A, Hellerstein J, Ioannidis Y, ... ... Pazzani M, et al. The lowell database research self-assessment Communications of the Acm. 48: 111-118. DOI: 10.1145/1060710.1060718 |
0.341 |
|
| 2004 |
Pazzani MJ. Machine learning for personalized wireless portals Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 3. |
0.355 |
|
| 2002 |
Chakrabarti K, Keogh E, Mehrotra S, Pazzani M. Locally adaptive dimensionality reduction for indexing large time series databases Acm Transactions On Database Systems. 27: 188-228. DOI: 10.1145/568518.568520 |
0.307 |
|
| 2002 |
Billsus D, Brunk CA, Evans C, Gladish B, Pazzani M. Adaptive interfaces for ubiquitous web access Communications of the Acm. 45: 34-38. DOI: 10.1145/506218.506240 |
0.466 |
|
| 2002 |
KEOGH EJ, PAZZANI MJ. LEARNING THE STRUCTURE OF AUGMENTED BAYESIAN CLASSIFIERS International Journal On Artificial Intelligence Tools. 11: 587-601. DOI: 10.1142/S0218213002001052 |
0.333 |
|
| 2002 |
Pazzani MJ, Billsus D. Adaptive web site agents Autonomous Agents and Multi-Agent Systems. 5: 205-218. DOI: 10.1023/A:1014849311433 |
0.753 |
|
| 2002 |
Pazzani MJ. Commercial applications of machine learning for personalized wireless portals Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2417: 1-5. |
0.352 |
|
| 2001 |
Pazzani MJ, Mani S, Shankle WR. Acceptance of rules generated by machine learning among medical experts. Methods of Information in Medicine. 40: 380-5. PMID 11776735 DOI: 10.1055/S-0038-1634196 |
0.333 |
|
| 2001 |
Bay SD, Pazzani MJ. Detecting group differences: Mining contrast sets Data Mining and Knowledge Discovery. 5: 213-246. DOI: 10.1023/A:1011429418057 |
0.717 |
|
| 2001 |
Webb GI, Pazzani MJ, Billsus D. Machine learning for user modeling User Modeling and User-Adapted Interaction. 11: 19-29. DOI: 10.1023/A:1011117102175 |
0.768 |
|
| 2000 |
Bay SD, Kibler D, Pazzani MJ, Smyth P. The UCI KDD archive of large data sets for data mining research and experimentation Acm Sigkdd Explorations Newsletter. 2: 81-85. DOI: 10.1145/380995.381030 |
0.697 |
|
| 2000 |
Pazzani MJ. Knowledge discovery from data? Ieee Intelligent Systems and Their Applications. 15: 10-13. DOI: 10.1109/5254.850821 |
0.406 |
|
| 2000 |
Billsus D, Pazzani MJ. User modeling for adaptive news access User Modelling and User-Adapted Interaction. 10: 147-180. DOI: 10.1023/A:1026501525781 |
0.785 |
|
| 2000 |
Miyahara K, Pazzani MJ. Collaborative filtering with the Simple Bayesian Classifier Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1886: 679-689. |
0.309 |
|
| 1999 |
Mani S, Shankle WR, Dick MB, Pazzani MJ. Two-Stage Machine Learning model for guideline development. Artificial Intelligence in Medicine. 16: 51-71. PMID 10225346 DOI: 10.1016/S0933-3657(98)00064-5 |
0.332 |
|
| 1999 |
Merz CJ, Pazzani MJ. Principal components approach to combining regression estimates Machine Learning. 36: 9-32. DOI: 10.1023/A:1007507221352 |
0.335 |
|
| 1999 |
Pazzani MJ. Framework for collaborative, content-based and demographic filtering Artificial Intelligence Review. 13: 393-408. DOI: 10.1023/A:1006544522159 |
0.514 |
|
| 1999 |
Billsus D, Pazzani MJ. A hybrid user model for news story classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 407: 99-108. |
0.774 |
|
| 1998 |
Pazzani MJ. Learning with globally predictive tests Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1532: 220-231. DOI: 10.1007/Bf03037566 |
0.358 |
|
| 1997 |
Ackerman M, Billsus D, Gaffney S, Hettich S, Khoo G, Kim DJ, Klefstad R, Lowe C, Ludeman A, Muramatsu J, Omori K, Pazzani MJ, Semler D, Starr B, Yap P. Learning probabilistic user profiles: Applications for finding interesting web sites, notifying users of relevant changes to web pages, and locating grant opportunities Ai Magazine. 18: 47-56. DOI: 10.1609/Aimag.V18I2.1293 |
0.779 |
|
| 1997 |
Pazzani M, Billsus D. Learning and Revising User Profiles: The Identification ofInteresting Web Sites Machine Learning. 27: 313-331. DOI: 10.1023/A:1007369909943 |
0.558 |
|
| 1995 |
Ali KM, Pazzani MJ. Hydra-Mm: Learning Multiple Descriptions To Improve Classification Accuracy International Journal On Artificial Intelligence Tools. 4: 115-133. DOI: 10.1142/S0218213095000073 |
0.375 |
|
| 1994 |
Ali KM, Pazzani MJ. Error Reduction through Learning Multiple Descriptions Machine Learning. 24: 173-202. DOI: 10.1023/A:1018249309965 |
0.337 |
|
| 1993 |
Pazzani M. A Reply to Cohen's Book Review of Creating a Memory of Causal Relationships Machine Learning. 10: 185-190. DOI: 10.1023/A:1022657309981 |
0.314 |
|
| 1993 |
Pazzani M. Learning Causal Patterns: Making a Transition from Data-Driven to Theory-Driven Learning Machine Learning. 11: 173-194. DOI: 10.1007/Bf00993076 |
0.35 |
|
| 1992 |
Pazzani M, Kibler D. The Utility of Knowledge in Inductive Learning Machine Learning. 9: 57-94. DOI: 10.1023/A:1022628829777 |
0.316 |
|
| 1992 |
Pazzani MJ, Sarrett W. A Framework for Average Case Analysis of Conjunctive Learning Algorithms Machine Learning. 9: 349-372. DOI: 10.1023/A:1022601518391 |
0.335 |
|
| 1991 |
Pazzani MJ. A Computational Theory of Learning Causal Relationships Cognitive Science. 15: 401-424. DOI: 10.1207/S15516709Cog1503_3 |
0.329 |
|
| 1991 |
Pazzani M. Learning to Predict and Explain: An Integration of Similarity-Based, Theory-Driven, and Explanation-Based Learning The Journal of the Learning Sciences. 1: 153-199. DOI: 10.1207/S15327809Jls0102_2 |
0.344 |
|
| 1991 |
Pazzani MJ. Influence of Prior Knowledge on Concept Acquisition: Experimental and Computational Results Journal of Experimental Psychology: Learning, Memory, and Cognition. 17: 416-432. DOI: 10.1037/0278-7393.17.3.416 |
0.326 |
|
| 1991 |
Pazzani MJ, Brunk CA. Detecting and correcting errors in rule-based expert systems: an integration of empirical and explanation-based learning Knowledge Acquisition. 3: 157-173. DOI: 10.1016/1042-8143(91)90003-6 |
0.349 |
|
| 1990 |
Pazzani MJ. Learning fault diagnosis heuristics from device descriptions Machine Learning. 214-234. DOI: 10.1016/B978-0-08-051055-2.50014-6 |
0.325 |
|
| 1990 |
Pazzani MJ. Learning in order to avoid search in logic programming Computers and Mathematics With Applications. 20: 101-110. DOI: 10.1016/0898-1221(90)90115-Z |
0.312 |
|
| 1987 |
Pazzani MJ. Explanation-based learning for knowledge-based systems International Journal of Human-Computer Studies \/ International Journal of Man-Machine Studies. 26: 413-433. DOI: 10.1016/S0020-7373(87)80079-2 |
0.357 |
|
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