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Drug-target interaction prediction with tree-ensemble learning and output space reconstruction

BMC bioinformatics, 2020-02, Vol.21 (1), p.49-11, Article 49

2020

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Active learning for hierarchical multi-label classification

Data mining and knowledge discovery, 2020-09, Vol.34 (5), p.1496-1530

2020

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Network inference with ensembles of bi-clustering trees

BMC bioinformatics, 2019-10, Vol.20 (1), p.525-525, Article 525

2019

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Machine learning for discovering missing or wrong protein function annotations

BMC bioinformatics, 2019-09, Vol.20 (1), p.1-32

2019

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Artificial Intelligence and Machine Learning: 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7-9, 2022, Revised Selected Papers

1st Edition 2023, 2023

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Decision trees for hierarchical multi-label classification

Machine learning, 2008-11, Vol.73 (2), p.185-214

2008

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Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery

Applied intelligence (Dordrecht, Netherlands), 2022-03, Vol.52 (4), p.3705-3727

2022

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Predicting outcomes of acute kidney injury in critically ill patients using machine learning

Scientific reports, 2023-06, Vol.13 (1), p.9864-9864, Article 9864

2023

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Predicting gene function using hierarchical multi-label decision tree ensembles

BMC bioinformatics, 2010-01, Vol.11 (1), p.2-2, Article 2

2010

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Exploiting Censored Information in Self-Training for Time-to-Event Prediction

IEEE access, 2023, Vol.11, p.96831-96840

2023

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Comparing the prediction performance of item response theory and machine learning methods on item responses for educational assessments

Behavior research methods, 2023-06, Vol.55 (4), p.2109-2124

2023

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Addressing the Cold-Start Problem in Collaborative Filtering Through Positive-Unlabeled Learning and Multi-Target Prediction

IEEE access, 2022, Vol.10, p.117189-117198

2022

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Validated risk prediction models for outcomes of acute kidney injury: a systematic review

BMC nephrology, 2023-05, Vol.24 (1), p.133-133, Article 133

2023

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Recommender Systems in the Real Estate Market—A Survey

Applied sciences, 2021-08, Vol.11 (16), p.7502

2021

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FloReMi: Flow density survival regression using minimal feature redundancy

Cytometry. Part A, 2016-01, Vol.89 (1), p.22-29

2016

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BELLATREX: Building Explanations through a LocaLly AccuraTe Rule EXtractor

IEEE access, 2023-01, Vol.11, p.1-1

2023

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A machine learning based framework to identify and classify long terminal repeat retrotransposons

PLoS computational biology, 2018-04, Vol.14 (4), p.e1006097-e1006097

2018

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Diversification in session-based news recommender systems

Personal and ubiquitous computing, 2023-02, Vol.27 (1), p.5-15

2023

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Comparison between Cystatin C- and Creatinine-Based Estimated Glomerular Filtration Rate in the Follow-Up of Patients Recovering from a Stage-3 AKI in ICU

Journal of clinical medicine, 2022-12, Vol.11 (24), p.7264

2022

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A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes

Cytometry. Part A, 2016-01, Vol.89 (1), p.16-21

2016

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Mining features for biomedical data using clustering tree ensembles

Journal of biomedical informatics, 2018-09, Vol.85, p.40-48

2018

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Fair multi-stakeholder news recommender system with hypergraph ranking

Information processing & management, 2021-09, Vol.58 (5), p.102663, Article 102663

2021

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Deep tree-ensembles for multi-output prediction

Pattern recognition, 2022-01, Vol.121, p.108211, Article 108211

2022

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Predicting Drug-Target Interactions With Multi-Label Classification and Label Partitioning

IEEE/ACM transactions on computational biology and bioinformatics, 2021-07, Vol.18 (4), p.1596-1607

2021

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Machine learning for discovering missing or wrong protein function annotations : A comparison using updated benchmark datasets

BMC bioinformatics, 2019-09, Vol.20 (1), p.485-485, Article 485

2019

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Drug-target interaction prediction with tree-ensemble learning and output space reconstruction

Active learning for hierarchical multi-label classification

Network inference with ensembles of bi-clustering trees

Machine learning for discovering missing or wrong protein function annotations

Artificial Intelligence and Machine Learning: 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7-9, 2022, Revised Selected Papers

Decision trees for hierarchical multi-label classification

Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery

Predicting outcomes of acute kidney injury in critically ill patients using machine learning

Predicting gene function using hierarchical multi-label decision tree ensembles

Exploiting Censored Information in Self-Training for Time-to-Event Prediction

Comparing the prediction performance of item response theory and machine learning methods on item responses for educational assessments

Addressing the Cold-Start Problem in Collaborative Filtering Through Positive-Unlabeled Learning and Multi-Target Prediction

Validated risk prediction models for outcomes of acute kidney injury: a systematic review

Recommender Systems in the Real Estate Market—A Survey

FloReMi: Flow density survival regression using minimal feature redundancy

BELLATREX: Building Explanations through a LocaLly AccuraTe Rule EXtractor

A machine learning based framework to identify and classify long terminal repeat retrotransposons

Diversification in session-based news recommender systems

Comparison between Cystatin C- and Creatinine-Based Estimated Glomerular Filtration Rate in the Follow-Up of Patients Recovering from a Stage-3 AKI in ICU

A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes

Mining features for biomedical data using clustering tree ensembles

Fair multi-stakeholder news recommender system with hypergraph ranking

Deep tree-ensembles for multi-output prediction

Predicting Drug-Target Interactions With Multi-Label Classification and Label Partitioning

Machine learning for discovering missing or wrong protein function annotations : A comparison using updated benchmark datasets

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