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Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings

1, 2016

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Generalized random shapelet forests

Data mining and knowledge discovery, 2016-09, Vol.30 (5), p.1053-1085

2016

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Learning from heterogeneous temporal data in electronic health records

Journal of biomedical informatics, 2017-01, Vol.65, p.105-119

2017

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Rule extraction with guarantees from regression models

Pattern recognition, 2022-06, Vol.126, p.108554, Article 108554

2022

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Random subspace and random projection nearest neighbor ensembles for high dimensional data

Expert systems with applications, 2022-04, Vol.191, p.116078, Article 116078

2022

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Regression conformal prediction with random forests

Machine learning, 2014, Vol.97 (1-2), p.155-176

2014

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Can local explanation techniques explain linear additive models?

Data mining and knowledge discovery, 2024, Vol.38 (1), p.237-280

2024

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Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets

Expert systems with applications, 2020-07, Vol.149, p.113264, Article 113264

2020

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Conformal and probabilistic prediction with applications: editorial

Machine learning, 2019-03, Vol.108 (3), p.379-380

2019

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A peek into the black box: exploring classifiers by randomization

Data mining and knowledge discovery, 2014-09, Vol.28 (5-6), p.1503-1529

2014

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Accelerating difficulty estimation for conformal regression forests

Annals of mathematics and artificial intelligence, 2017, Vol.81 (1-2), p.125-144

2017

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Explaining Predictions by Characteristic Rules

Machine Learning and Knowledge Discovery in Databases, p.389-403

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Efficient Venn predictors using random forests

Machine learning, 2019-03, Vol.108 (3), p.535-550

2019

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Quantifying Uncertainty in Online Regression Forests

Journal of machine learning research, 2019-01, Vol.20, p.1

2019

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Introducing Uncertainty in Predictive ModelingFriend or Foe?

Journal of chemical information and modeling, 2012-11, Vol.52 (11), p.2815-2822

2012

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Ensembles of randomized trees using diverse distributed representations of clinical events

BMC medical informatics and decision making, 2016-07, Vol.16 Suppl 2 (Suppl 2), p.69-69, Article 69

2016

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Image Keypoint Matching Using Graph Neural Networks

Complex Networks & Their Applications X, p.441-451

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Modifications to p-Values of Conformal Predictors

Statistical Learning and Data Sciences, 2015, p.251-259

2015

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Well-Calibrated and Sharp Interpretable Multi-Class Models

Lecture Notes in Computer Science, 2021, p.193-204

2021

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Bias reduction through conditional conformal prediction

Intelligent data analysis, 2015-01, Vol.19 (6), p.1355-1375

2015

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Gated Hidden Markov Models for Early Prediction of Outcome of Internet-Based Cognitive Behavioral Therapy

17th Conference on Artificial Intelligence in Medicine, AIME 2019, 2019, p.160-169

2019

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Integration of data mining and multi-objective optimisation for decision support in production systems development

International journal of computer integrated manufacturing, 2014-01, Vol.27 (9), p.824-839

2014

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Representing descriptors derived from multiple conformations as uncertain features for machine learning

Journal of molecular modeling, 2013-06, Vol.19 (6), p.2679-2685

2013

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Classification with Reject Option Using Conformal Prediction

Advances in Knowledge Discovery and Data Mining, 2018, p.94-105

2018

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Orthogonal Mixture of Hidden Markov Models

Machine Learning and Knowledge Discovery in Databases, p.509-525

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Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings

Generalized random shapelet forests

Learning from heterogeneous temporal data in electronic health records

Rule extraction with guarantees from regression models

Random subspace and random projection nearest neighbor ensembles for high dimensional data

Regression conformal prediction with random forests

Can local explanation techniques explain linear additive models?

Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets

Conformal and probabilistic prediction with applications: editorial

A peek into the black box: exploring classifiers by randomization

Accelerating difficulty estimation for conformal regression forests

Explaining Predictions by Characteristic Rules

Efficient Venn predictors using random forests

Quantifying Uncertainty in Online Regression Forests

Introducing Uncertainty in Predictive ModelingFriend or Foe?

Ensembles of randomized trees using diverse distributed representations of clinical events

Image Keypoint Matching Using Graph Neural Networks

Modifications to p-Values of Conformal Predictors

Well-Calibrated and Sharp Interpretable Multi-Class Models

Bias reduction through conditional conformal prediction

Gated Hidden Markov Models for Early Prediction of Outcome of Internet-Based Cognitive Behavioral Therapy

Integration of data mining and multi-objective optimisation for decision support in production systems development

Representing descriptors derived from multiple conformations as uncertain features for machine learning

Classification with Reject Option Using Conformal Prediction

Orthogonal Mixture of Hidden Markov Models

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