Michael J. Pazzani
Orcid: 0000-0002-4240-7349Affiliations:
- University of California, San Diego, USA
- University of California, Riverside, USA (former)
- University of California, Irvine, USA (former)
According to our database1,
Michael J. Pazzani
authored at least 130 papers
between 1983 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on id.loc.gov
-
on ics.uci.edu
On csauthors.net:
Bibliography
2023
Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN's Learned Features.
IEEE Access, 2023
2022
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces.
CoRR, 2022
Deep Learning Radiographic Assessment of Pulmonary Edema: Optimizing Clinical Performance, Training With Serum Biomarkers.
IEEE Access, 2022
Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Indexing Multivariate Mobile Data through Spatio-Temporal Event Detection and Clustering.
Sensors, 2019
Manifestation of virtual assistants and robots into daily life: vision and challenges.
CCF Trans. Pervasive Comput. Interact., 2019
2018
Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018
2017
A natural language query interface for searching personal information on smartwatches.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017
2016
IEEE Trans. Knowl. Data Eng., 2016
2015
Energy-Efficient Integration of Continuous Context Sensing and Prediction into Smartwatches.
Sensors, 2015
2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
2007
Proceedings of the Adaptive Web, Methods and Strategies of Web Personalization, 2007
Proceedings of the Adaptive Web, Methods and Strategies of Web Personalization, 2007
2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Adaptive Info - Personalizing the Wireless Web: Machine Learning 275 and Business 101.
Proceedings of the What Went Wrong and Why: Lessons from AI Research and Applications, 2006
2005
2004
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004
2003
Proceedings of the User Modeling 2003, 2003
2002
ACM Trans. Database Syst., 2002
Int. J. Artif. Intell. Tools, 2002
Proceedings of the Second SIAM International Conference on Data Mining, 2002
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002
2001
Knowl. Inf. Syst., 2001
Proceedings of the Tenth International World Wide Web Conference, 2001
Proceedings of the First SIAM International Conference on Data Mining, 2001
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001
2000
SIGKDD Explor., 2000
Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000
A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases.
Proceedings of the Knowledge Discovery and Data Mining, 2000
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000
Proceedings of the 5th International Conference on Intelligent User Interfaces, 2000
Proceedings of the 5th International Conference on Intelligent User Interfaces, 2000
Characterizing Model Erros and Differences.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
1999
Mach. Learn., 1999
J. Comb. Optim., 1999
Artif. Intell. Medicine, 1999
Artif. Intell. Rev., 1999
Proceedings of the 11th International Conference on Scientific and Statistical Database Management, 1999
Proceedings of the SIGIR '99: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999
Learning augmented Bayesian classifiers: A comparison of distribution-based and classification-based approaches.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999
Refinement of Neuro-psychological Tests for Dementia Screening in a Cross Cultural Population Using Machine Learning.
Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999
Proceedings of the Third Annual Conference on Autonomous Agents, 1999
1998
Proceedings of the MEDINFO '98, 1998
An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998
Learning Collaborative Information Filters.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998
Proceedings of the Advanced Topics in Artificial Intelligence, 1998
Guideline generation from data by induction of decision tables using a Bayesian network framework.
Proceedings of the AMIA 1998, 1998
1997
Mach. Learn., 1997
Mach. Learn., 1997
Learning Probabilistic User Profiles: Applications for Finding Interesting Web Sites, Notifying Users of Relevant Changes to Web Pages, and Locating Grant Opportunities.
AI Mag., 1997
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 1997
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997
Differential Diagnosis of Dementia: A Knowledge Discovery and Data Mining (KDD) Approach.
Proceedings of the AMIA 1997, 1997
Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods.
Proceedings of the Artificial Intelligence Medicine, 1997
Proceedings of the Artificial Intelligence Medicine, 1997
1996
Review of "Inductive Logic Programming: Techniques and Applications" by Nada Lavrac, Saso Dzeroski.
Mach. Learn., 1996
IEEE Expert, 1996
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier.
Proceedings of the Machine Learning, 1996
Proceedings of the Conference on Human Factors in Computing Systems: Common Ground, 1996
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
1995
Int. J. Artif. Intell. Tools, 1995
An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995
Acquiring and updating hierarchical knowledge for machine translation based on a clustering technique.
Proceedings of the Connectionist, 1995
Learning from hotlists and coldlists: towards a WWW information filtering and seeking agent.
Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995
Proceedings of the Machine Learning, 1995
Proceedings of the Machine Learning, 1995
Proceedings of the Learning from Data, 1995
Proceedings of the Learning from Data, 1995
1994
Exploring the Decision Forest: An Empirical Investigation of Occam's Razor in Decision Tree Induction.
J. Artif. Intell. Res., 1994
Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL.
Proceedings of the Logic Programming Synthesis and Transformation, 1994
Proceedings of the Sixth International Conference on Tools with Artificial Intelligence, 1994
Proceedings of the Sixth International Conference on Tools with Artificial Intelligence, 1994
1993
Learning Causal Patterns: Making a Transition from Data-Driven to Theory-Driven Learning.
Mach. Learn., 1993
Mach. Learn., 1993
A Methodology for Evaluating Theory Revision Systems: Results with Audrey II.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993
HYDRA: A Noise-tolerant Relational Concept Learning Algorithm.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993
Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993
1992
Mach. Learn., 1992
Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992
1991
Proceedings of the Eighth International Workshop (ML91), 1991
Proceedings of the Eighth International Workshop (ML91), 1991
Proceedings of the Eighth International Workshop (ML91), 1991
Proceedings of the Eighth International Workshop (ML91), 1991
1990
Proceedings of the Machine Learning, 1990
Creating a memory of causal relationships - an integration of empirical and explanation-based learning methods.
Lawrence Erlbaum, 1990
1989
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989
One-Sided Algorithms for Integrating Empirical and Explanation-Based Learning.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989
Explanation-Based Learning with Week Domain Theories.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989
1988
Integrated Learning with Incorrect and Incomplete Theories.
Proceedings of the Machine Learning, 1988
Integrating Explanation-Based and Empirical Learning Methods in OCCAM.
Proceedings of the Third European Working Session on Learning, 1988
1987
IEEE Trans. Syst. Man Cybern., 1987
Int. J. Man Mach. Stud., 1987
Proceedings of the Knowledge Representation and Organization in Machine Learning [Workshop, 1987
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987
A Comparison of Concept Identification in Human Learning and Network Learning with the Generalized Delta Rule.
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987
1986
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986
Refining the Knowledge Base of a Diagnostic Expert System: An Application of Failure-Driven Learning.
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986
1984
IEEE Trans. Pattern Anal. Mach. Intell., 1984
Proceedings of the 10th International Conference on Computational Linguistics and 22nd Annual Meeting of the Association for Computational Linguistics, 1984
1983
Proceedings of the 1st Applied Natural Language Processing Conference, 1983
Proceedings of the National Conference on Artificial Intelligence, 1983