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Ensemble learning: A survey

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2018-07, Vol.8 (4), p.e1249-n/a

2018

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Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain

ACM computing surveys, 2021-06, Vol.54 (5), p.1-36

2021

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Dynamic Malware Analysis in the Modern Era—A State of the Art Survey

ACM computing surveys, 2020-09, Vol.52 (5), p.1-48

2020

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CaSTLe - Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments

PloS one, 2018-10, Vol.13 (10), p.e0205499-e0205499

2018

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Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures

PloS one, 2019-08, Vol.14 (8), p.e0219796

2019

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Fast-CBUS: A fast clustering-based undersampling method for addressing the class imbalance problem

Neurocomputing (Amsterdam), 2017-06, Vol.243, p.88-102

2017

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A Direct Learning Approach for Neural Network Based Pre-Distortion for Coherent Nonlinear Optical Transmitter

Journal of lightwave technology, 2020-08, Vol.38 (15), p.3883-3896

2020

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Molecule generation using transformers and policy gradient reinforcement learning

Scientific reports, 2023-05, Vol.13 (1), p.8799-8799, Article 8799

2023

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Decision forest: Twenty years of research

Information fusion, 2016-01, Vol.27, p.111-125

Rokach, Lior

2016

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Antibody persistence 100 days following the second dose of BNT162b mRNA Covid19 vaccine in patients with chronic lymphocytic leukemia

Leukemia, 2021-09, Vol.35 (9), p.2727-2730

2021

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Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients

Archives of physical medicine and rehabilitation, 2021-03, Vol.102 (3), p.386-394

2021

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Source Model Selection for Deep Learning in the Time Series Domain

IEEE access, 2020, Vol.8, p.6190-6200

2020

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A simplified similarity-based approach for drug-drug interaction prediction

PloS one, 2023-11, Vol.18 (11), p.e0293629-e0293629

2023

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Ensemble-based classifiers

The Artificial intelligence review, 2010-02, Vol.33 (1-2), p.1-39

Rokach, Lior

2010

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Safety and efficacy of the BNT162b mRNA COVID-19 vaccine in patients with chronic lymphocytic leukemia

Haematologica (Roma), 2022-03, Vol.107 (3), p.625-634

2022

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Virtual Breathalyzer: Towards the Detection of Intoxication Using Motion Sensors of Commercial Wearable Devices

Sensors (Basel, Switzerland), 2022-05, Vol.22 (9), p.3580

2022

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Approximating XGBoost with an interpretable decision tree

Information sciences, 2021-09, Vol.572, p.522-542

2021

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Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes

Genome Biology, 2024-04, Vol.25 (1), p.95-29, Article 95

2024

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Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook

Third edition, 2023

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Predicting drug characteristics using biomedical text embedding

BMC bioinformatics, 2022-12, Vol.23 (1), p.526-526, Article 526

2022

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TTANAD: Test-Time Augmentation for Network Anomaly Detection

Entropy (Basel, Switzerland), 2023-05, Vol.25 (5), p.820

2023

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Sniffing Bacteria with a Carbon-Dot Artificial Nose

Nano-micro letters, 2021-12, Vol.13 (1), p.112-15, Article 112

2021

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Correction: CaSTLe - Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments

PloS one, 2018-11, Vol.13 (11), p.e0208349-e0208349

2018

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Recommender Systems Handbook

Third edition, 2022

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Empowering prediction of miRNA–mRNA interactions in species with limited training data through transfer learning

Heliyon, 2024-04, Vol.10 (7), p.e28000-e28000, Article e28000

2024

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Ensemble learning: A survey

Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain

Dynamic Malware Analysis in the Modern Era—A State of the Art Survey

CaSTLe - Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments

Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures

Fast-CBUS: A fast clustering-based undersampling method for addressing the class imbalance problem

A Direct Learning Approach for Neural Network Based Pre-Distortion for Coherent Nonlinear Optical Transmitter

Molecule generation using transformers and policy gradient reinforcement learning

Decision forest: Twenty years of research

Antibody persistence 100 days following the second dose of BNT162b mRNA Covid19 vaccine in patients with chronic lymphocytic leukemia

Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients

Source Model Selection for Deep Learning in the Time Series Domain

A simplified similarity-based approach for drug-drug interaction prediction

Ensemble-based classifiers

Safety and efficacy of the BNT162b mRNA COVID-19 vaccine in patients with chronic lymphocytic leukemia

Virtual Breathalyzer: Towards the Detection of Intoxication Using Motion Sensors of Commercial Wearable Devices

Approximating XGBoost with an interpretable decision tree

Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes

Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook

Predicting drug characteristics using biomedical text embedding

TTANAD: Test-Time Augmentation for Network Anomaly Detection

Sniffing Bacteria with a Carbon-Dot Artificial Nose

Correction: CaSTLe - Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments

Recommender Systems Handbook

Empowering prediction of miRNA–mRNA interactions in species with limited training data through transfer learning

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