List of works - Andrea Passerini

A semiparametric generative model for efficient structured-output supervised learning

A simplified approach to disulfide connectivity prediction from protein sequences

scientific article

Active learning of Pareto fronts.

scientific article published in March 2014

Automatic prediction of catalytic residues by modeling residue structural neighborhood.

scientific article

Brain–Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker

Characterization of metalloproteins by high-throughput X-ray absorption spectroscopy.

scientific article

Combining learning and constraints for genome-wide protein annotation.

scientific article published on 17 June 2019

DISULFIND: a disulfide bonding state and cysteine connectivity prediction server

scientific article

Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound

scientific article published on 14 May 2020

Efficient Generation of Structured Objects with Constrained Adversarial Networks ⬇️

scientific article published in November 2020

Generating fine-grained surrogate temporal networks

scientific article published on 9 January 2024

Identifying cysteines and histidines in transition-metal-binding sites using support vector machines and neural networks.

scientific article

Improved multi-level protein-protein interaction prediction with semantic-based regularization

scientific article

Investigating the association between social interactions and personality states dynamics.

scientific article published on 20 September 2017

Joint probabilistic-logical refinement of multiple protein feature predictors

scientific article published on 15 January 2014

Learning to discriminate between ligand-bound and disulfide-bound cysteines

scientific article

Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy

scholarly article by Marco Lippi et al published 2012 in Lecture Notes in Computer Science

MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence

scientific article published on 16 May 2011

MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence

scientific article published on 16 July 2008

Multiparametric optical characterization of airborne dust with single particle extinction and scattering

scientific article published on 13 January 2020

Navigating the topical structure of academic search results via the Wikipedia category network

scientific article published on 06 November 2013

New results on error correcting output codes of kernel machines

scientific article published on 01 January 2004

On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways

article

PTRcombiner: mining combinatorial regulation of gene expression from post-transcriptional interaction maps

scientific article

Personality traits and the role of gender in swimmers at the leisure level

Predicting metal-binding sites from protein sequence.

scientific article published on 16 May 2011

Predicting the Geometry of Metal Binding Sites from Protein Sequence ⬇️

Predicting virus mutations through statistical relational learning.

scientific article

Predicting zinc binding at the proteome level

scientific article

RNAcommender: genome-wide recommendation of RNA-protein interactions.

scientific article published on 8 August 2016

Relational information gain

Three distinct ribosome assemblies modulated by translation are the building blocks of polysomes

scientific article

Type Extension Trees for feature construction and learning in relational domains

Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells.

scientific article

List of works by Andrea Passerini

A semiparametric generative model for efficient structured-output supervised learning

A simplified approach to disulfide connectivity prediction from protein sequences

Active learning of Pareto fronts.

Automatic prediction of catalytic residues by modeling residue structural neighborhood.

Brain–Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker

Characterization of metalloproteins by high-throughput X-ray absorption spectroscopy.

Combining learning and constraints for genome-wide protein annotation.

DISULFIND: a disulfide bonding state and cysteine connectivity prediction server

Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound

Efficient Generation of Structured Objects with Constrained Adversarial Networks ⬇️

Generating fine-grained surrogate temporal networks

Identifying cysteines and histidines in transition-metal-binding sites using support vector machines and neural networks.

Improved multi-level protein-protein interaction prediction with semantic-based regularization

Investigating the association between social interactions and personality states dynamics.

Joint probabilistic-logical refinement of multiple protein feature predictors

Learning to discriminate between ligand-bound and disulfide-bound cysteines

Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy

MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence

MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence

Multiparametric optical characterization of airborne dust with single particle extinction and scattering

Navigating the topical structure of academic search results via the Wikipedia category network

New results on error correcting output codes of kernel machines

On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways

PTRcombiner: mining combinatorial regulation of gene expression from post-transcriptional interaction maps

Personality traits and the role of gender in swimmers at the leisure level

Predicting metal-binding sites from protein sequence.

Predicting the Geometry of Metal Binding Sites from Protein Sequence ⬇️

Predicting virus mutations through statistical relational learning.

Predicting zinc binding at the proteome level

RNAcommender: genome-wide recommendation of RNA-protein interactions.

Relational information gain

Three distinct ribosome assemblies modulated by translation are the building blocks of polysomes

Type Extension Trees for feature construction and learning in relational domains

Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells.