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Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science

PloS one, 2016-08, Vol.11 (8), p.e0161135-e0161135

2016

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Application of genetic algorithms and constructive neural networks for the analysis of microarray cancer data

Theoretical biology and medical modelling, 2014-05, Vol.11 Suppl 1 (S1), p.S7-S7, Article S7

2014

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Multiple Primary Muscular Hydatidosis in an Immunosuppressed Patient

Journal of clinical rheumatology, 2021-12, Vol.27 (8S), p.S603-S606

2021

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Committee C-Mantec: A Probabilistic Constructive Neural Network

Advances in Computational Intelligence, 2013, p.339-346

2013

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Constructive neural networks to predict breast cancer outcome by using gene expression profiles

Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I, 2010, p.317-326

2010

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Predicting the risk of VISIT emergency department (ED) in lung cancer patients using machine learning

Journal of clinical oncology, 2020-05, Vol.38 (15_suppl), p.2042-2042

2020

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Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm

Computational and Ambient Intelligence, 2007, p.1004-1011

2007

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Optimal Synthesis of Boolean Functions by Threshold Functions

Artificial Neural Networks – ICANN 2006, 2006, p.983-992

2006

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Active Learning Using a Constructive Neural Network Algorithm

Artificial Neural Networks - ICANN 2008, 2008, Vol.5164, p.803-811

2008

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MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set

Artificial Neural Networks - ICANN 2007, 2007, Vol.4668, p.648-656

2007

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Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller

Advances in Computational Intelligence, 2013, p.80-87

2013

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Multiple Primary Muscular Hydatidosis in an Immunosuppressed Patient

Journal of clinical rheumatology, 2018-11, p.1

2018

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MP136LUPUS NEPHRITIS: 15 YEARS EXPERIENCE FROM A SINGLE CENTRE

Nephrology, dialysis, transplantation, 2016-05, Vol.31 (suppl_1), p.i387-i388

2016

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A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006, p.4791-4796

2006

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Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles

Trends in Applied Intelligent Systems, 2010, p.317-326

2010

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Exploring the contribution of bacteriophages to antibiotic resistance

Environmental pollution (1987), 2017-01, Vol.220 (Pt B), p.981-984

2017

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Antibiotic resistance along an urban river impacted by treated wastewaters

The Science of the total environment, 2018-07, Vol.628-629, p.453-466

2018

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The role of biofilms as environmental reservoirs of antibiotic resistance

Frontiers in microbiology, 2015-10, Vol.6, p.1216-1216

2015

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Metagenomic analysis reveals that bacteriophages are reservoirs of antibiotic resistance genes

International journal of antimicrobial agents, 2016-08, Vol.48 (2), p.163-167

2016

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Emerging contaminants and nutrients synergistically affect the spread of class 1 integron-integrase (intI1) and sul1 genes within stable streambed bacterial communities

Water research (Oxford), 2018-07, Vol.138, p.77-85

2018

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Antibiotic resistance in urban and hospital wastewaters and their impact on a receiving freshwater ecosystem

Chemosphere (Oxford), 2018-09, Vol.206, p.70-82

2018

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Wastewater pollution differently affects the antibiotic resistance gene pool and biofilm bacterial communities across streambed compartments

Molecular ecology, 2017-10, Vol.26 (20), p.5567-5581

2017

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Real-time PCR assays for the detection and quantification of carbapenemase genes (blaKPC, blaNDM, and blaOXA-48) in environmental samples

Environmental science and pollution research international, 2017-03, Vol.24 (7), p.6710-6714

2017

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Abundance of carbapenemase genes (blaKPC, blaNDM and blaOXA-48) in wastewater effluents from Tunisian hospitals

Environmental pollution (1987), 2017-10, Vol.229, p.371-374

2017

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Risk of Atrial Fibrillation, Ischemic Stroke and Cognitive Impairment: Study of a Population Cohort ≥65 Years of Age

Vascular health and risk management, 2020, Vol.16, p.445-454

2020

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