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Sensors (Basel, Switzerland)|April 14, 2026
Ensemble Deep Learning Models on Raw DNA Sequences for Viral Genome Identification in Human SamplesMarco De Nat, Simone Boscolo, Sonia Pilar Gallo, et al.Bioinformatics Advances|December 15, 2025
Matrix-based vector representations in neural networks for classifying molecular biology dataLoris Nanni, Sheryl Brahnam, Daniel FusaroEntropy (Basel, Switzerland)|November 24, 2023
Improving Existing Segmentators Performance with Zero-Shot SegmentatorsLoris Nanni, Daniel Fusaro, Carlo Fantozzi, et al.Amino Acids|January 5, 2008
Genetic programming for creating Chou's pseudo amino acid based features for submitochondria localizationLoris Nanni, Alessandra LuminiAmino Acids|January 5, 2008
Combing ontologies and dipeptide composition for predicting DNA-binding proteinsLoris Nanni, Alessandra LuminiArtificial Intelligence in Medicine|April 29, 2008
A reliable method for cell phenotype image classificationLoris Nanni, Alessandra LuminiAmino Acids|April 11, 2008
Using ensemble of classifiers for predicting HIV protease cleavage sites in proteinsLoris Nanni, Alessandra LuminiAn International Journal on Information Fusion|May 10, 2021
A critic evaluation of methods for COVID-19 automatic detection from X-ray imagesGianluca Maguolo, Loris NanniBioinformatics (Oxford, England)|April 27, 2017
Multi-label classifier based on histogram of gradients for predicting the anatomical therapeutic chemical class/classes of a given compoundLoris Nanni, Sheryl BrahnamProtein and Peptide Letters|February 10, 2009
A further step toward an optimal ensemble of classifiers for peptide classification, a case study: HIV proteaseLoris Nanni, Alessandra LuminiPageof 6