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Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence data

BMC bioinformatics, 2019-12, Vol.20 (Suppl 15), p.644-644, Article 644

2019

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Machine Learning and Integrative Analysis of Biomedical Big Data

Genes, 2019-01, Vol.10 (2), p.87

2019

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Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization

Physica medica, 2021-03, Vol.83, p.108-121

2021

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Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models

Cancers, 2023-04, Vol.15 (9), p.2459

2023

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Genome-wide real-time in vivo transcriptional dynamics during Plasmodium falciparum blood-stage development

Nature communications, 2018-07, Vol.9 (1), p.2656-12, Article 2656

2018

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Statistical significance of variables driving systematic variation in high-dimensional data

Bioinformatics (Oxford, England), 2015-02, Vol.31 (4), p.545-554

2015

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Unsupervised classification of multi-omics data during cardiac remodeling using deep learning

Methods (San Diego, Calif.), 2019-08, Vol.166, p.66-73

2019

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Identifying temporal molecular signatures underlying cardiovascular diseases: A data science platform

Journal of molecular and cellular cardiology, 2020-08, Vol.145, p.54-58

2020

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Author Correction: Genome-wide real-time in vivo transcriptional dynamics during Plasmodium falciparum blood-stage development

Nature communications, 2022-03, Vol.13 (1), p.1497-1497, Article 1497

2022

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Artificial Intelligence. ECAI 2023 International Workshops: XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I

1, 2024

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Artificial Intelligence. ECAI 2023 International Workshops: XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II

1, 2024

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Statistical significance of cluster membership for unsupervised evaluation of cell identities

Bioinformatics, 2020-05, Vol.36 (10), p.3107-3114

2020

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Feature perturbation augmentation for reliable evaluation of importance estimators in neural networks

Pattern recognition letters, 2023-12, Vol.176, p.131-139

2023

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Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA Sequencing Data

Journal of computational biology, 2019-08, Vol.26 (8), p.782-793

2019

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Gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death

Genome medicine, 2014-05, Vol.6 (5), p.40-40

2014

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Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography

Explainable and Transparent AI and Multi-Agent Systems, p.3-18

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Population Structure Analysis of Bull Genomes of European and Western Ancestry

Scientific reports, 2017-01, Vol.7 (1), p.40688-40688, Article 40688

2017

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Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA-seq Data

Bioinformatics Research and Applications, p.335-346

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Patient engagement in HIV care and treatment in Zambia, 2004–2014

Tropical medicine & international health, 2017-03, Vol.22 (3), p.332-339

2017

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Input Bias in Rectified Gradients and Modified Saliency Maps

2021 IEEE International Conference on Big Data and Smart Computing (BigComp), 2021, p.148-151

2021

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Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models

2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019, p.1771-1778

2019

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Deep Learning Mental Health Dialogue System

2023 IEEE International Conference on Big Data and Smart Computing (BigComp), 2023, p.395-398

2023

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Artificial Intelligence. ECAI 2023 International Workshops, 2024, Vol.1947

2024

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The Use of Semantic Networks for the Categorization of Prosumers

Artificial Intelligence. ECAI 2023 International Workshops, 2024, Vol.1948

2024

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Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence data

Machine Learning and Integrative Analysis of Biomedical Big Data

Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization

Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models

Genome-wide real-time in vivo transcriptional dynamics during Plasmodium falciparum blood-stage development

Statistical significance of variables driving systematic variation in high-dimensional data

Unsupervised classification of multi-omics data during cardiac remodeling using deep learning

Identifying temporal molecular signatures underlying cardiovascular diseases: A data science platform

Author Correction: Genome-wide real-time in vivo transcriptional dynamics during Plasmodium falciparum blood-stage development

Artificial Intelligence. ECAI 2023 International Workshops: XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I

Artificial Intelligence. ECAI 2023 International Workshops: XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II

Statistical significance of cluster membership for unsupervised evaluation of cell identities

Feature perturbation augmentation for reliable evaluation of importance estimators in neural networks

Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA Sequencing Data

Gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death

Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography

Population Structure Analysis of Bull Genomes of European and Western Ancestry

Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA-seq Data

Patient engagement in HIV care and treatment in Zambia, 2004–2014

Artificial Intelligence. ECAI 2023 International Workshops: XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 – October 4, 2023, Proceedings, Part I

Input Bias in Rectified Gradients and Modified Saliency Maps

Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models

Deep Learning Mental Health Dialogue System

Tactful

The Use of Semantic Networks for the Categorization of Prosumers

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