Lista de obras - Giorgio Valentini - Dominio Público Uruguay

A Hierarchical Ensemble Method for DAG-Structured Taxonomies

article

A Novel Ensemble Technique for Protein Subcellular Location Prediction

A Whole-Genome Analysis Framework for Effective Identification of Pathogenic Regulatory Variants in Mendelian Disease

artículo científico publicado en 2016

A fast ranking algorithm for predicting gene functions in biomolecular networks

artículo científico publicado en 2012

A mathematical model for the validation of gene selection methods.

artículo científico publicado en 2011

A neural network algorithm for semi-supervised node label learning from unbalanced data

artículo científico publicado en 2013

A novel approach to the problem of non-uniqueness of the solution in hierarchical clustering

artículo científico publicado en 2013

An Experimental Bias-Variance Analysis of SVM Ensembles Based on Resampling Techniques

article

An expanded evaluation of protein function prediction methods shows an improvement in accuracy ⬇️

artículo científico publicado en 2016

An experimental analysis of the dependence among codeword bit errors in ECOC learning machines

An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods

artículo científico publicado en 2014

An open source knowledge graph ecosystem for the life sciences

artículo científico publicado en 2024

Bio-molecular cancer prediction with random subspace ensembles of support vector machines

Biological Specifications for a Synthetic Gene Expression Data Generation Model

article

Boosting and Classification of Electronic Nose Data

COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in Graphs

COSNet: An R package for label prediction in unbalanced biological networks

Cancer module genes ranking using kernelized score functions ⬇️

artículo científico publicado el 7 de septiembre de 2012

Cancer recognition with bagged ensembles of support vector machines

article published in 2004

Characterization of lung tumor subtypes through gene expression cluster validity assessment

article

Classification of co-expressed genes from DNA regulatory regions

article

Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data

artículo científico publicado en 2005

Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks—A Case Study on Genome Gap-Filling

artículo científico publicado en 2020

Computational intelligence and machine learning in bioinformatics.

artículo científico publicado en 2008

Data Integration Issues and Opportunities in Biological XML Data Management

scholarly article

Dataset complexity can help to generate accurate ensembles of k-nearest neighbors

scholarly article published June 2008

Discovering multi-level structures in bio-molecular data through the Bernstein inequality

artículo científico publicado en 2008

Dynamic multi-objective routing algorithm: a multi-objective routing algorithm for the simple hybrid routing protocol on wireless sensor networks

article published in 2010

Ensemble Based Data Fusion for Gene Function Prediction

article

Ensemble Clustering with a Fuzzy Approach

Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms

scholarly article by Alberto Bertoni & Giorgio Valentini published 2006 in Lecture Notes in Computer Science

Fuzzy ensemble clustering based on random projections for DNA microarray data analysis

artículo científico publicado en 2008

GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology

artículo científico publicado en 2014

GRAPE for fast and scalable graph processing and random-walk-based embedding

Gene expression data analysis of human lymphoma using support vector machines and output coding ensembles

artículo científico publicado en 2002

Gene expression modeling through positive boolean functions

article

HCGene: a software tool to support the hierarchical classification of genes

artículo científico

Hierarchical ensemble methods for protein function prediction

artículo científico

Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding Variants

artículo científico publicado en 2017

Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines

article

Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories

Learning node labels with multi-category Hopfield networks

Lung nodules detection and classification

Model order selection for bio-molecular data clustering

artículo científico publicado en 2007

Mosclust: a software library for discovering significant structures in bio-molecular data

artículo científico publicado en 2006

Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical tools

artículo científico publicado en 2020

Multi-species protein function prediction

article published in 2016

NEURObjects: an object-oriented library for neural network development

article

Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction

scientific article published on 27 February 2020

Network-based drug ranking and repositioning with respect to DrugBank therapeutic categories

artículo científico publicado en 2013

Noise tolerance of multiple classifier systems in data integration-based gene function prediction

artículo científico publicado en 2010

Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources

article

Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods

artículo científico publicado en 2017

Protein function prediction as a graph-transduction game

scholarly article by Sebastiano Vascon et al published April 2018 in Pattern Recognition Letters

RANKS: a flexible tool for node label ranking and classification in biological networks

artículo científico publicado en 2016

Random Walking on Functional Interaction Networks to Rank Genes Involved in Cancer

article

Random projections for assessing gene expression cluster stability

article

Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses

artículo científico publicado en 2006

Regeneration-associated WNT signaling is activated in long-term reconstituting AC133bright acute myeloid leukemia cells.

artículo científico publicado en 2012

Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer

scientific article published on 08 December 2021

Support vector machines for candidate nodules classification

Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference

article

Think globally and solve locally: secondary memory-based network learning for automated multi-species function prediction

artículo científico publicado en 2014

True Path Rule Hierarchical Ensembles

article by Giorgio Valentini published 2009 in Lecture Notes in Computer Science

True path rule hierarchical ensembles for genome-wide gene function prediction

artículo científico

UNIPred: Unbalance-Aware Network Integration and Prediction of Protein Functions

artículo científico

Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data

Within network learning on big graphs using secondary memory-based random walk kernels

XML-based approaches for the integration of heterogeneous bio-molecular data

artículo científico publicado en 2009

Lista de obras de Giorgio Valentini

A Hierarchical Ensemble Method for DAG-Structured Taxonomies

A Novel Ensemble Technique for Protein Subcellular Location Prediction

A Whole-Genome Analysis Framework for Effective Identification of Pathogenic Regulatory Variants in Mendelian Disease

A fast ranking algorithm for predicting gene functions in biomolecular networks

A mathematical model for the validation of gene selection methods.

A neural network algorithm for semi-supervised node label learning from unbalanced data

A novel approach to the problem of non-uniqueness of the solution in hierarchical clustering

An Experimental Bias-Variance Analysis of SVM Ensembles Based on Resampling Techniques

An expanded evaluation of protein function prediction methods shows an improvement in accuracy ⬇️

An experimental analysis of the dependence among codeword bit errors in ECOC learning machines

An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods

An open source knowledge graph ecosystem for the life sciences

Bio-molecular cancer prediction with random subspace ensembles of support vector machines

Biological Specifications for a Synthetic Gene Expression Data Generation Model

Boosting and Classification of Electronic Nose Data

COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in Graphs

COSNet: An R package for label prediction in unbalanced biological networks

Cancer module genes ranking using kernelized score functions ⬇️

Cancer recognition with bagged ensembles of support vector machines

Characterization of lung tumor subtypes through gene expression cluster validity assessment

Classification of co-expressed genes from DNA regulatory regions

Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data

Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks—A Case Study on Genome Gap-Filling

Computational intelligence and machine learning in bioinformatics.

Data Integration Issues and Opportunities in Biological XML Data Management

Dataset complexity can help to generate accurate ensembles of k-nearest neighbors

Discovering multi-level structures in bio-molecular data through the Bernstein inequality

Dynamic multi-objective routing algorithm: a multi-objective routing algorithm for the simple hybrid routing protocol on wireless sensor networks

Ensemble Based Data Fusion for Gene Function Prediction

Ensemble Clustering with a Fuzzy Approach

Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms

Fuzzy ensemble clustering based on random projections for DNA microarray data analysis

GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology

GRAPE for fast and scalable graph processing and random-walk-based embedding

Gene expression data analysis of human lymphoma using support vector machines and output coding ensembles

Gene expression modeling through positive boolean functions

HCGene: a software tool to support the hierarchical classification of genes

Hierarchical ensemble methods for protein function prediction

Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding Variants

Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines

Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories

Learning node labels with multi-category Hopfield networks

Lung nodules detection and classification

Model order selection for bio-molecular data clustering

Mosclust: a software library for discovering significant structures in bio-molecular data

Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical tools

Multi-species protein function prediction

NEURObjects: an object-oriented library for neural network development

Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction

Network-based drug ranking and repositioning with respect to DrugBank therapeutic categories

Noise tolerance of multiple classifier systems in data integration-based gene function prediction

Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources

Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods

Protein function prediction as a graph-transduction game

RANKS: a flexible tool for node label ranking and classification in biological networks

Random Walking on Functional Interaction Networks to Rank Genes Involved in Cancer

Random projections for assessing gene expression cluster stability

Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses

Regeneration-associated WNT signaling is activated in long-term reconstituting AC133bright acute myeloid leukemia cells.

Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer

Support vector machines for candidate nodules classification

Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference

Think globally and solve locally: secondary memory-based network learning for automated multi-species function prediction

True Path Rule Hierarchical Ensembles

True path rule hierarchical ensembles for genome-wide gene function prediction

UNIPred: Unbalance-Aware Network Integration and Prediction of Protein Functions

Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data

Within network learning on big graphs using secondary memory-based random walk kernels

XML-based approaches for the integration of heterogeneous bio-molecular data