Found: 22
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Predictive change point detection for heterogeneous data.
- Published in:
- Neural Computing & Applications, 2024, v. 36, n. 26, p. 16071, doi. 10.1007/s00521-024-09846-0
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- Publication type:
- Article
Explainable and interpretable machine learning and data mining.
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- 2024
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- Publication type:
- Editorial
Tree-based dynamic classifier chains.
- Published in:
- Machine Learning, 2023, v. 112, n. 11, p. 4129, doi. 10.1007/s10994-022-06162-3
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- Publication type:
- Article
An Empirical Comparison of Interpretable Models to Post-Hoc Explanations.
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- AI, 2023, v. 4, n. 2, p. 426, doi. 10.3390/ai4020023
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- Article
Efficient learning of large sets of locally optimal classification rules.
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- Machine Learning, 2023, v. 112, n. 2, p. 571, doi. 10.1007/s10994-022-06290-w
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- Publication type:
- Article
Comparing Boosting and Bagging for Decision Trees of Rankings.
- Published in:
- Journal of Classification, 2022, v. 39, n. 1, p. 78, doi. 10.1007/s00357-021-09397-2
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- Publication type:
- Article
A flexible class of dependence-aware multi-label loss functions.
- Published in:
- Machine Learning, 2022, v. 111, n. 2, p. 713, doi. 10.1007/s10994-021-06107-2
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- Publication type:
- Article
Learning Ordinal Embedding from Sets.
- Published in:
- Entropy, 2021, v. 23, n. 8, p. 964, doi. 10.3390/e23080964
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- Publication type:
- Article
A Unifying Framework and Comparative Evaluation of Statistical and Machine Learning Approaches to Non-Specific Syndromic Surveillance.
- Published in:
- Computers (2073-431X), 2021, v. 10, n. 3, p. 32, doi. 10.3390/computers10030032
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- Publication type:
- Article
On cognitive preferences and the plausibility of rule-based models.
- Published in:
- Machine Learning, 2020, v. 109, n. 4, p. 853, doi. 10.1007/s10994-019-05856-5
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- Publication type:
- Article
The PRORETA 4 City Assistant System: Adaptive maneuver assistance at urban intersections using driver behavior modeling.
- Published in:
- Automatisierungstechnik, 2019, v. 67, n. 9, p. 783, doi. 10.1515/auto-2019-0051
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- Publication type:
- Article
A Survey of Preference-Based Reinforcement Learning Methods.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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- Publication type:
- Article
Editorial.
- Published in:
- 2015
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- Publication type:
- Editorial
Efficient implementation of class-based decomposition schemes for Naïve Bayes.
- Published in:
- Machine Learning, 2014, v. 96, n. 3, p. 295, doi. 10.1007/s10994-013-5430-z
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- Publication type:
- Article
Editorial: Preference learning and ranking.
- Published in:
- 2013
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- Publication type:
- Editorial
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm.
- Published in:
- Machine Learning, 2012, v. 89, n. 1-2, p. 123, doi. 10.1007/s10994-012-5313-8
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- Publication type:
- Article
Efficient prediction algorithms for binary decomposition techniques.
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- Data Mining & Knowledge Discovery, 2012, v. 24, n. 1, p. 40, doi. 10.1007/s10618-011-0219-9
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- Publication type:
- Article
A review and comparison of strategies for handling missing values in separate-and-conquer rule learning.
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- Journal of Intelligent Information Systems, 2011, v. 36, n. 1, p. 73, doi. 10.1007/s10844-010-0121-8
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- Publication type:
- Article
Guest Editorial: Global modeling using local patterns.
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- 2010
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- Publication type:
- Editorial
On the quest for optimal rule learning heuristics.
- Published in:
- Machine Learning, 2010, v. 78, n. 3, p. 343, doi. 10.1007/s10994-009-5162-2
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- Publication type:
- Article
Multilabel classification via calibrated label ranking.
- Published in:
- Machine Learning, 2008, v. 73, n. 2, p. 133
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- Publication type:
- Article
Timing, Sequencing, and Quantum of Life Course Events: A Machine Learning Approach.
- Published in:
- European Journal of Population, 2006, v. 22, n. 1, p. 37, doi. 10.1007/s10680-005-5549-0
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- Publication type:
- Article