Lista de obras - Cesare Furlanello - Dominio Público Uruguay

A Machine Learning Pipeline for Discriminant Pathways Identification

scholarly article by Annalisa Barla et al published 2012 in Lecture Notes in Computer Science

A Machine Learning Pipeline for Identification of Discriminant Pathways

scholarly article published 2014

A comparison of MCC and CEN error measures in multi-class prediction

artículo científico publicado en 2012

A grid environment for high-throughput proteomics

artículo científico

A machine learning pipeline for quantitative phenotype prediction from genotype data ⬇️

artículo científico publicado el 26 de octubre de 2010

A memory-based approach to navigation

A promoter-level mammalian expression atlas

artículo científico publicado en 2014

Algebraic comparison of partial lists in bioinformatics

artículo científico publicado en 2012

Algebraic stability indicators for ranked lists in molecular profiling

artículo científico publicado en 2007

An accelerated procedure for recursive feature ranking on microarray data.

artículo científico publicado en 2003

An interactive effect of batch size and composition contributes to discordant results in GWAS with the CHIAMO genotyping algorithm

artículo científico publicado en 2010

Assessing sources of inconsistencies in genotypes and their effects on genome-wide association studies with HapMap samples.

artículo científico publicado en 2010

Assessment of variability in GWAS with CRLMM genotyping algorithm on WTCCC coronary artery disease.

artículo científico publicado en 2010

Automatic model selection in cost-sensitive boosting

BIAS-VARIANCE CONTROL VIA HARD POINTS SHAVING

article

Batch effects in the BRLMM genotype calling algorithm influence GWAS results for the Affymetrix 500K array.

artículo científico publicado en 2010

Biodiversity and stress level in four forests of the Italian Alps

article

Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma

scientific article published on 25 November 2020

Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review.

artículo científico publicado en 2012

Combining feature selection and DTW for time-varying functional genomics

Comparison of RNA-seq and microarray-based models for clinical endpoint prediction

artículo científico publicado en 2015

Comparison of Wearable and Clinical Devices for Acquisition of Peripheral Nervous System Signals

scientific article published on 27 November 2020

Deep representation learning of electronic health records to unlock patient stratification at scale

artículo científico publicado en 2020

Deriving the Kernel from Training Data

Diet and the Gut Microbiota – How the Gut

article

Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma

scientific article published in PLoS ONE

Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment

artículo científico publicado en 2012

Efficient Feature Selection for PTR-MS Fingerprinting of Agroindustrial Products

Entropy-based gene ranking without selection bias for the predictive classification of microarray data

artículo científico publicado en 2003

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

scholarly article published 6 June 2018

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

scientific article published on 27 March 2019

Exact Bagging with k-Nearest Neighbour Classifiers

Focal adhesion kinase depletion reduces human hepatocellular carcinoma growth by repressing enhancer of zeste homolog 2.

artículo científico publicado en 2017

Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes

artículo científico publicado en 2010

Gene expression profiling identifies potential relevant genes in alveolar rhabdomyosarcoma pathogenesis and discriminatesPAX3-FKHR positive and negative tumors

article

Gut microbiota profiling of pediatric nonalcoholic fatty liver disease and obese patients unveiled by an integrated meta-omics-based approach

artículo científico publicado en 2016

Highlighting Hard Patterns via AdaBoost Weights Evolution

article

Incremental learning of roughly represented concepts

Integrating gene expression profiling and clinical data

article

LPS-induced TNF-α factor mediates pro-inflammatory and pro-fibrogenic pattern in non-alcoholic fatty liver disease

artículo científico publicado en 2015

Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs

scholarly article by Stefano Merler et al published 2005 in Lecture Notes in Computer Science

Machine learning methods for predictive proteomics

artículo científico publicado en 2008

Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers

artículo científico publicado en 2012

Mitigation measures for pandemic influenza in Italy: an individual based model considering different scenarios

artículo científico publicado en 2008

Modeling socio-demography to capture tuberculosis transmission dynamics in a low burden setting

artículo científico publicado en 2011

Modern data mining tools in descriptive sensory analysis: A case study with a Random forest approach

article

Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson's Disease and Autism Spectrum Disorders

scholarly article by Nastaran Mohammadian Rad et al published 19 October 2018 in Sensors

Parallelizing AdaBoost by weights dynamics

article

Physiolyze: A Galaxy-based web service for Heart Rate Variability analysis with online processing

Predicting habitat suitability with machine learning models: The potential area of Pinus sylvestris L. in the Iberian Peninsula

article

Proteome Profiling without Selection Bias

article

Recursive feature elimination with random forest for PTR-MS analysis of agroindustrial products

article

Repeatability of published microarray gene expression analyses

artículo científico publicado en 2009

Selection of Tree-Biased Classifiers with the Bootstrap 632+ Rule

article

Semisupervised Profiling of Gene Expressions and Clinical Data

article

Semisupervised learning for molecular profiling

artículo científico publicado en 2005

Speaker Normalization and Model Selection of Combined Neural Networks

Spectral Mapping: a Comparison of Connectionist Approaches

Stability indicators in network reconstruction

artículo científico publicado en 2014

Strategies for containing an influenza pandemic: the case of Italy

article

TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting

scientific article published on 13 July 2020

TOFwave: reproducibility in biomarker discovery from time-of-flight mass spectrometry data

artículo científico publicado en 2012

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

artículo científico publicado en 2010

The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

artículo científico publicado en 2014

The international MAQC Society launches to enhance reproducibility of high-throughput technologies

artículo científico publicado en 2017

Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis

Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.

artículo científico publicado en 2010

histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing

artículo científico publicado en 2022

Lista de obras de Cesare Furlanello

A Machine Learning Pipeline for Discriminant Pathways Identification

A Machine Learning Pipeline for Identification of Discriminant Pathways

A comparison of MCC and CEN error measures in multi-class prediction

A grid environment for high-throughput proteomics

A machine learning pipeline for quantitative phenotype prediction from genotype data ⬇️

A memory-based approach to navigation

A promoter-level mammalian expression atlas

Algebraic comparison of partial lists in bioinformatics

Algebraic stability indicators for ranked lists in molecular profiling

An accelerated procedure for recursive feature ranking on microarray data.

An interactive effect of batch size and composition contributes to discordant results in GWAS with the CHIAMO genotyping algorithm

Assessing sources of inconsistencies in genotypes and their effects on genome-wide association studies with HapMap samples.

Assessment of variability in GWAS with CRLMM genotyping algorithm on WTCCC coronary artery disease.

Automatic model selection in cost-sensitive boosting

BIAS-VARIANCE CONTROL VIA HARD POINTS SHAVING

Batch effects in the BRLMM genotype calling algorithm influence GWAS results for the Affymetrix 500K array.

Biodiversity and stress level in four forests of the Italian Alps

Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma

Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review.

Combining feature selection and DTW for time-varying functional genomics

Comparison of RNA-seq and microarray-based models for clinical endpoint prediction

Comparison of Wearable and Clinical Devices for Acquisition of Peripheral Nervous System Signals

Deep representation learning of electronic health records to unlock patient stratification at scale

Deriving the Kernel from Training Data

Diet and the Gut Microbiota – How the Gut

Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma

Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment

Efficient Feature Selection for PTR-MS Fingerprinting of Agroindustrial Products

Entropy-based gene ranking without selection bias for the predictive classification of microarray data

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

Exact Bagging with k-Nearest Neighbour Classifiers

Focal adhesion kinase depletion reduces human hepatocellular carcinoma growth by repressing enhancer of zeste homolog 2.

Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes

Gene expression profiling identifies potential relevant genes in alveolar rhabdomyosarcoma pathogenesis and discriminatesPAX3-FKHR positive and negative tumors

Gut microbiota profiling of pediatric nonalcoholic fatty liver disease and obese patients unveiled by an integrated meta-omics-based approach

Highlighting Hard Patterns via AdaBoost Weights Evolution

Incremental learning of roughly represented concepts

Integrating gene expression profiling and clinical data

LPS-induced TNF-α factor mediates pro-inflammatory and pro-fibrogenic pattern in non-alcoholic fatty liver disease

Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs

Machine learning methods for predictive proteomics

Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers

Mitigation measures for pandemic influenza in Italy: an individual based model considering different scenarios

Modeling socio-demography to capture tuberculosis transmission dynamics in a low burden setting

Modern data mining tools in descriptive sensory analysis: A case study with a Random forest approach

Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson's Disease and Autism Spectrum Disorders

Parallelizing AdaBoost by weights dynamics

Physiolyze: A Galaxy-based web service for Heart Rate Variability analysis with online processing

Predicting habitat suitability with machine learning models: The potential area of Pinus sylvestris L. in the Iberian Peninsula

Proteome Profiling without Selection Bias

Recursive feature elimination with random forest for PTR-MS analysis of agroindustrial products

Repeatability of published microarray gene expression analyses

Selection of Tree-Biased Classifiers with the Bootstrap 632+ Rule

Semisupervised Profiling of Gene Expressions and Clinical Data

Semisupervised learning for molecular profiling

Speaker Normalization and Model Selection of Combined Neural Networks

Spectral Mapping: a Comparison of Connectionist Approaches

Stability indicators in network reconstruction

Strategies for containing an influenza pandemic: the case of Italy

TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting

TOFwave: reproducibility in biomarker discovery from time-of-flight mass spectrometry data

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

The international MAQC Society launches to enhance reproducibility of high-throughput technologies

Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis

Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.

histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing