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Machine Learning Techniques for Hypoglycemia Prediction: Trends and Challenges

Sensors (Basel, Switzerland), 2021-01, Vol.21 (2), p.546

2021

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Generation of Individualized Synthetic Data for Augmentation of the Type 1 Diabetes Data Sets Using Deep Learning Models

Sensors (Basel, Switzerland), 2022-06, Vol.22 (13), p.4944

2022

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Metabolism of the predominant human milk oligosaccharide fucosyllactose by an infant gut commensal

Scientific reports, 2019-10, Vol.9 (1), p.15427-20, Article 15427

2019

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Exact and heuristic approaches for the cycle hub location problem

Annals of operations research, 2017-11, Vol.258 (2), p.655-677

2017

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Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor

Sensors (Basel, Switzerland), 2020-03, Vol.20 (6), p.1705

2020

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Artificial Intelligence for Diabetes Management and Decision Support: Literature Review

Journal of medical Internet research, 2018-05, Vol.20 (5), p.e10775-e10775

2018

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Implementation of pure shift 1H NMR in metabolic phenotyping for structural information recovery of biofluid metabolites with complex spin systems

NMR in biomedicine, 2024-03, Vol.37 (3), p.n/a

2024

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The metabolic interplay between dietary carbohydrate and exercise and its role in acute appetite regulation in males: a randomized controlled study

The Journal of physiology, 2023-08, Vol.601 (16), p.3461-3480

2023

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Estimating the incidence of Venezuelan migration and other socioeconomic factors on urban growth in Colombia

PloS one, 2024-04, Vol.19 (4), p.e0301552-e0301552

2024

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The impact of acute exercise on appetite regulation: unravelling the potential involvement of gut microbial activity

The Journal of physiology, 2024-02, Vol.602 (3), p.529-530

2024

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Risk-based postprandial hypoglycemia forecasting using supervised learning

International journal of medical informatics (Shannon, Ireland), 2019-06, Vol.126, p.1-8

2019

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Definition of Residential Power Load Profiles Clusters Using Machine Learning and Spatial Analysis

Energies (Basel), 2021-10, Vol.14 (20), p.6565

2021

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C-phycoerythrin from Phormidium persicinum Prevents Acute Kidney Injury by Attenuating Oxidative and Endoplasmic Reticulum Stress

Marine drugs, 2021-10, Vol.19 (11), p.589

2021

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Generative deep learning for the development of a type 1 diabetes simulator

Communications medicine, 2024-03, Vol.4 (1), p.51-51

2024

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General network design: A unified view of combined location and network design problems

European journal of operational research, 2012-06, Vol.219 (3), p.680-697

2012

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Exact solution of hub network design problems with profits

European journal of operational research, 2018-04, Vol.266 (1), p.57-71

2018

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A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1665

2022

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The divide-and-conquer framework: a suitable setting for domain decomposition methods of the future

Geofísica internacional, 2020-01, Vol.59 (1), p.27-37

2020

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A genome‐wide association study for partial resistance to southern corn rust in tropical maize

Plant breeding, 2019-12, Vol.138 (6), p.770-780

2019

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Hub network design problems with profits

Transportation research. Part E, Logistics and transportation review, 2016-12, Vol.96, p.40-59

2016

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The Hub Line Location Problem

Transportation science, 2015-08, Vol.49 (3), p.500-518

2015

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Tight bounds from a path based formulation for the tree of hub location problem

Computers & operations research, 2009-12, Vol.36 (12), p.3117-3127

2009

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Effect of cutting height, a bacterial inoculant and a fibrolytic enzyme on corn (Zea mays L.) silage quality

Revista de la Facultad de Ciencias Agrarias, Universidad Nacional de Cuyo, 2023-12, Vol.55 (2), p.129-140

2023

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The Nutraceutical Antihypertensive Action of C-Phycocyanin in Chronic Kidney Disease Is Related to the Prevention of Endothelial Dysfunction

Nutrients, 2022-03, Vol.14 (7), p.1464

2022

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Machine Learning Techniques for Hypoglycemia Prediction: Trends and Challenges

Generation of Individualized Synthetic Data for Augmentation of the Type 1 Diabetes Data Sets Using Deep Learning Models

Metabolism of the predominant human milk oligosaccharide fucosyllactose by an infant gut commensal

Exact and heuristic approaches for the cycle hub location problem

Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor

Artificial Intelligence for Diabetes Management and Decision Support: Literature Review

Implementation of pure shift 1H NMR in metabolic phenotyping for structural information recovery of biofluid metabolites with complex spin systems

The metabolic interplay between dietary carbohydrate and exercise and its role in acute appetite regulation in males: a randomized controlled study

Estimating the incidence of Venezuelan migration and other socioeconomic factors on urban growth in Colombia

The impact of acute exercise on appetite regulation: unravelling the potential involvement of gut microbial activity

Risk-based postprandial hypoglycemia forecasting using supervised learning

Definition of Residential Power Load Profiles Clusters Using Machine Learning and Spatial Analysis

C-phycoerythrin from Phormidium persicinum Prevents Acute Kidney Injury by Attenuating Oxidative and Endoplasmic Reticulum Stress

Generative deep learning for the development of a type 1 diabetes simulator

General network design: A unified view of combined location and network design problems

Exact solution of hub network design problems with profits

A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin

The divide-and-conquer framework: a suitable setting for domain decomposition methods of the future

A genome‐wide association study for partial resistance to southern corn rust in tropical maize

Hub network design problems with profits

The Hub Line Location Problem

Tight bounds from a path based formulation for the tree of hub location problem

Effect of cutting height, a bacterial inoculant and a fibrolytic enzyme on corn (Zea mays L.) silage quality

The Nutraceutical Antihypertensive Action of C-Phycocyanin in Chronic Kidney Disease Is Related to the Prevention of Endothelial Dysfunction

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