Giorgio Valentini
Orcid: 0000-0002-5694-3919
According to our database1,
Giorgio Valentini
authored at least 116 papers
between 1999 and 2024.
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Bibliography
2024
Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
An expectation-maximization framework for comprehensive prediction of isoform-specific functions.
Bioinform., April, 2023
A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative.
J. Biomed. Informatics, March, 2023
Nat. Comput. Sci., 2023
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules.
CoRR, 2023
Proceedings of the 31st Symposium of Advanced Database Systems, 2023
Proceedings of the Bioinformatics and Biomedical Engineering, 2023
Proceedings of the Bioinformatics and Biomedical Engineering, 2023
Intrinsic-Dimension Analysis for Guiding Dimensionality Reduction in Multi-Omics Data.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
2022
Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative.
CoRR, 2022
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques.
BMC Bioinform., 2022
Briefings Bioinform., 2022
ParSMURF-NG: A Machine Learning High Performance Computing System for the Analysis of Imbalanced Big Omics Data.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops, 2022
Proceedings of the Current Trends in Web Engineering, 2022
2021
Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence.
J. Imaging, 2021
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding.
CoRR, 2021
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction.
Bioinform., 2021
Proceedings of the SOFSEM 2021: Theory and Practice of Computer Science, 2021
A Web Tool for the Semantic Integration of Heterogeneous and Complex Spreadsheet Tables.
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021
2020
Pattern Recognit. Lett., 2020
Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks - A Case Study on Genome Gap-Filling.
Comput., 2020
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments.
IEEE Access, 2020
Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020
2019
UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction.
BMC Bioinform., 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
On the Quality of Classification Models for Inferring ABAC Policies from Access Logs.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks.
BMC Bioinform., 2018
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
2017
Neurocomputing, 2017
Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods.
BMC Bioinform., 2017
Ensembling Descendant Term Classifiers to Improve Gene - Abnormal Phenotype Predictions.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017
2016
Neural Comput. Appl., 2016
<i>RANKS</i>: a flexible tool for node label ranking and classification in biological networks.
Bioinform., 2016
Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services, 2016
Within network learning on big graphs using secondary memory-based random walk kernels.
Proceedings of the Complex Networks & Their Applications V - Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016), Milan, Italy, November 30, 2016
2015
J. Comput. Biol., 2015
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015
Prediction of Human Gene - Phenotype Associations by Exploiting the Hierarchical Structure of the Human Phenotype Ontology.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
2014
GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology.
Bioinform., 2014
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.
Artif. Intell. Medicine, 2014
2013
A Novel Approach to the Problem of Non-uniqueness of the Solution in Hierarchical Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2013
Network-Based Drug Ranking and Repositioning with Respect to DrugBank Therapeutic Categories.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
A neural network algorithm for semi-supervised node label learning from unbalanced data.
Neural Networks, 2013
Clust. Comput., 2013
2012
J. Supercomput., 2012
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference.
Mach. Learn., 2012
Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories.
Proceedings of the Bioinformatics Research and Applications - 8th International Symposium, 2012
Proceedings of the Artificial Intelligence Applications and Innovations, 2012
2011
Proceedings of the Ensembles in Machine Learning Applications, 2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Identification of promoter regions in genomic sequences by 1-dimensional constraint clustering.
Proceedings of the Neural Nets WIRN11, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
2010
Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction.
Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010
Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010
Noise tolerance of Multiple Classifier Systems in data integration-based gene function prediction.
J. Integr. Bioinform., 2010
Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines.
Neurocomputing, 2010
Dynamic multi-objective routing algorithm: a multi-objective routing algorithm for the simple hybrid routing protocol on wireless sensor networks.
IET Commun., 2010
Proceedings of the Neural Nets WIRN10, 2010
An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010
2009
Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009
Int. J. Knowl. Eng. Soft Data Paradigms, 2009
BMC Bioinform., 2009
Artif. Intell. Medicine, 2009
Fuzzy ensemble clustering based on random projections for DNA microarray data analysis.
Artif. Intell. Medicine, 2009
Proceedings of the Neural Nets WIRN09, 2009
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009
2008
Int. J. Approx. Reason., 2008
Discovering multi-level structures in bio-molecular data through the Bernstein inequality.
BMC Bioinform., 2008
Bioinform., 2008
Classification of DNA microarray data with Random Projection Ensembles of Polynomial SVMs.
Proceedings of the New Directions in Neural Networks, 2008
An Algorithm to Assess the Reliability of Hierarchical Clusters in Gene Expression Data.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2008
2007
Mosclust: a software library for discovering significant structures in bio-molecular data.
Bioinform., 2007
Proceedings of the Applications of Fuzzy Sets Theory, 2007
Discovering Significant Structures in Clustered Bio-molecular Data Through the Bernstein Inequality.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007
2006
Characterization of lung tumor subtypes through gene expression cluster validity assessment.
RAIRO Theor. Informatics Appl., 2006
Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data.
Bioinform., 2006
Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses.
Artif. Intell. Medicine, 2006
2005
An experimental bias-variance analysis of SVM ensembles based on resampling techniques.
IEEE Trans. Syst. Man Cybern. Part B, 2005
Bio-molecular cancer prediction with random subspace ensembles of support vector machines.
Neurocomputing, 2005
Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms.
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005
Proceedings of the 2005 International Conference on Image Processing, 2005
2004
Effectiveness of error correcting output coding methods in ensemble and monolithic learning machines.
Pattern Anal. Appl., 2004
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods.
J. Mach. Learn. Res., 2004
Neurocomputing, 2004
An experimental analysis of the dependence among codeword bit errors in ECOC learning machines.
Neurocomputing, 2004
Feature Selection Combined with Random Subspace Ensemble for Gene Expression Based Diagnosis of Malignancies.
Proceedings of the Biological and Artificial Intelligence Environments, 2004
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004
2003
An Application of Low Bias Bagged SVMs to the Classification of Heterogeneous Malignant Tissues.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003
2002
Neurocomputing, 2002
Gene expression data analysis of human lymphoma using support vector machines and output coding ensembles.
Artif. Intell. Medicine, 2002
Proceedings of the Neural Nets, 13th Italian Workshop on Neural Nets, 2002
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002
2001
Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001
2000
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
NEURObjects: A Set of Library Classes for Neural Networks Development.
Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999