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A Learning Strategy for the Autonomous Control of Type 1 Diabetes

Applied artificial intelligence, 2015-07, Vol.29 (6), p.531-562

2015

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SO-34 Multi-label transcriptional classification of colorectal cancer reflects tumour cell population heterogeneity

Annals of oncology, 2023-06, Vol.34, p.S177-S177

2023

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Understanding Giftedness: A guide for parents and educators

1, 2019

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Right putamen and age are the most discriminant features to diagnose Parkinson's disease by using 123 I-FP-CIT brain SPET data by using an artificial neural network classifier, a classification tree (ClT)

Hellenic journal of nuclear medicine, 2017-09, Vol.20 Suppl, p.165

2017

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Right putamen and age are the most discriminant features to diagnose Parkinson's disease by using 123I-FP-CIT brain SPET data by using an artificial neural network classifier, a classification tree (ClT)

Hellenic journal of nuclear medicine, 2017-09, Vol.20 Suppl, p.165-165

2017

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A SCADA-Based Method for Estimating the Energy Improvement from Wind Turbine Retrofitting

Proceedings of the XV Conference of the Italian Association for Wind Engineering, 2019, Vol.27, p.63-72

2019

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PART I: Understanding giftedness

Understanding Giftedness, 2019

2019

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PART II: Supporting gifted students in school

Understanding Giftedness, 2019

2019

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Series Page

Understanding Giftedness, 2019

2019

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About the editors

Understanding Giftedness, 2019

2019

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From Show to Tell: A Survey on Deep Learning-Based Image Captioning

IEEE transactions on pattern analysis and machine intelligence, 2023-01, Vol.45 (1), p.539-559

2023

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Scenarios for the Integration of Microarray Gene Expression Profiles in COVID-19-Related Studies

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2401, p.195

2022

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Biologically weighted LASSO: enhancing functional interpretability in gene expression data analysis

Bioinformatics (Oxford, England), 2024-10, Vol.40 (10)

2024

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Identification of transcription factor high accumulation DNA zones

BMC bioinformatics, 2023-10, Vol.24 (1), p.1-395, Article 395

2023

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Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer

Scientific reports, 2020-08, Vol.10 (1), p.14071-14071, Article 14071

2020

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RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor

BMC bioinformatics, 2022-04, Vol.23 (1), p.123-123, Article 123

2022

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Supervised Relevance-Redundancy assessments for feature selection in omics-based classification scenarios

Journal of biomedical informatics, 2023-08, Vol.144, p.104457-104457, Article 104457

2023

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Boosting modern and historical handwritten text recognition with deformable convolutions

International journal on document analysis and recognition, 2022-09, Vol.25 (3), p.207-217

2022

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Tyrosine kinases in nodal peripheral T-cell lymphomas

Frontiers in oncology, 2023-02, Vol.13, p.1099943-1099943

2023

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Evaluating synthetic pre-Training for handwriting processing tasks

Pattern recognition letters, 2023-08, Vol.172, p.44-50

2023

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Handwritten Text Generation from Visual Archetypes

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.22458-22467

2023

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VATr++: Choose Your Words Wisely for Handwritten Text Generation

IEEE transactions on pattern analysis and machine intelligence, 2024-10, Vol.PP, p.1-15

2024

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[123I]Metaiodobenzylguanidine (MIBG) Cardiac Scintigraphy and Automated Classification Techniques in Parkinsonian Disorders

Molecular imaging and biology, 2020-06, Vol.22 (3), p.703-710

2020

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Robust visual semi-semantic loop closure detection by a covisibility graph and CNN features

Robotics and autonomous systems, 2017-06, Vol.92, p.53-65

2017

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Investigating Deep Learning Based Breast Cancer Subtyping Using Pan-Cancer and Multi-Omic Data

IEEE/ACM transactions on computational biology and bioinformatics, 2022-01, Vol.19 (1), p.121-134

2022

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A Learning Strategy for the Autonomous Control of Type 1 Diabetes

SO-34 Multi-label transcriptional classification of colorectal cancer reflects tumour cell population heterogeneity

Understanding Giftedness: A guide for parents and educators

Right putamen and age are the most discriminant features to diagnose Parkinson's disease by using 123 I-FP-CIT brain SPET data by using an artificial neural network classifier, a classification tree (ClT)

Right putamen and age are the most discriminant features to diagnose Parkinson's disease by using 123I-FP-CIT brain SPET data by using an artificial neural network classifier, a classification tree (ClT)

A SCADA-Based Method for Estimating the Energy Improvement from Wind Turbine Retrofitting

PART I: Understanding giftedness

PART II: Supporting gifted students in school

Series Page

About the editors

From Show to Tell: A Survey on Deep Learning-Based Image Captioning

Scenarios for the Integration of Microarray Gene Expression Profiles in COVID-19-Related Studies

Biologically weighted LASSO: enhancing functional interpretability in gene expression data analysis

Identification of transcription factor high accumulation DNA zones

Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer

RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor

Supervised Relevance-Redundancy assessments for feature selection in omics-based classification scenarios

Boosting modern and historical handwritten text recognition with deformable convolutions

Tyrosine kinases in nodal peripheral T-cell lymphomas

Evaluating synthetic pre-Training for handwriting processing tasks

Handwritten Text Generation from Visual Archetypes

VATr++: Choose Your Words Wisely for Handwritten Text Generation

[123I]Metaiodobenzylguanidine (MIBG) Cardiac Scintigraphy and Automated Classification Techniques in Parkinsonian Disorders

Robust visual semi-semantic loop closure detection by a covisibility graph and CNN features

Investigating Deep Learning Based Breast Cancer Subtyping Using Pan-Cancer and Multi-Omic Data

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