I. Zoppis

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Covering a Graph with Clubs

Riccardo Dondi, Giancarlo Mauri, Italo Zoppis, 2019, J. Graph Algorithms Appl..

Controlling the losing probability in a monotone game

Bruno Apolloni, Simone Bassis, Dario Malchiodi, 2006, Inf. Sci..

Urinary Signatures of Renal Cell Carcinoma Investigated by Peptidomic Approaches

G. Mauri, I. Zoppis, M. Dakna, 2014, PloS one.

Clique Editing to Support Case vs Control Discrimination

G. Mauri, R. Dondi, I. Zoppis, 2016 .

Combination of gene expression and genome copy number alteration has a prognostic value for breast cancer

G. Mauri, I. Zoppis, M. Gilardi, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

System of Nudge Theory-Based ICT Applications for Older Citizens: The SENIOR Project

Giancarlo Mauri, Italo Zoppis, Giada Pietrabissa, 2019, MindCare.

Computational Methods for Resting-State EEG of Patients With Disorders of Consciousness

G. Mauri, R. Dondi, I. Zoppis, 2019, Front. Neurosci..

Proteomic profiles of thyroid tumors by mass spectrometry-imaging on tissue microarrays.

G. Mauri, I. Zoppis, M. Manzoni, 2017, Biochimica et biophysica acta. Proteins and proteomics.

Managing chronic pathologies with a stepped mHealth-based approach in clinical psychology and medicine

Giancarlo Mauri, Italo Zoppis, Giada Pietrabissa, 2015, Front. Psychol..

Variational Autoencoder for Early Stress Detection in Smart Agriculture: A Pilot Study

I. Zoppis, Giulia Cisotto, Alberto Zancanaro, 2022, 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor).

Kernel Machines: Applications

Riccardo Dondi, Giancarlo Mauri, Italo Zoppis, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Robust Conclusions in Mass Spectrometry Analysis

Riccardo Dondi, Giancarlo Mauri, Italo Zoppis, 2015, ICCS.

Kernel Methods: Support Vector Machines

Riccardo Dondi, Giancarlo Mauri, Italo Zoppis, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Kernel Machines: Introduction

Riccardo Dondi, Giancarlo Mauri, Italo Zoppis, 2019, Encyclopedia of Bioinformatics and Computational Biology.

An application of kernel methods to gene cluster temporal meta-analysis

Giancarlo Mauri, Italo Zoppis, Daniele Merico, 2010, Comput. Oper. Res..

Evaluating Graph Kernel Methods for Relation Discovery in GO-Annotated Clusters

Giancarlo Mauri, Italo Zoppis, Daniele Merico, 2007, KES.

From protein-protein interactions to protein co-expression networks: a new perspective to evaluate large-scale proteomic data

Giancarlo Mauri, Italo Zoppis, Danila Vella, 2017, EURASIP J. Bioinform. Syst. Biol..

Explainable Attentional Neural Recommendations for Personalized Social Learning

Ricardo Anibal Matamoros Aragon, G. Mauri, I. Zoppis, 2020, AI*IA.

Approaching Explainable Recommendations for Personalized Social Learning: the Current Stage in the Educational Platform "WhoTeach"

Giancarlo Mauri, Italo Zoppis, Luca Marconi, 2020, XAI.it@AI*IA.

Combined analysis of chromosomal instabilities and gene expression for colon cancer progression inference

Giancarlo Mauri, Italo Zoppis, Isabella Castiglioni, 2014, Journal of Clinical Bioinformatics.

Chromosome instability for tumor progression inference

Giancarlo Mauri, Italo Zoppis, Marco Antoniotti, 2012 .

Integration of mRNA Expression Profile, Copy Number Alterations, and microRNA Expression Levels in Breast Cancer to Improve Grade Definition

Giancarlo Mauri, Italo Zoppis, Maria Carla Gilardi, 2014, PloS one.

Tumor size, stage and grade alterations of urinary peptidome in RCC

G. Mauri, I. Zoppis, S. Bosari, 2015, Journal of Translational Medicine.

Orthology Correction for Gene Tree Reconstruction: Theoretical and Experimental Results

Riccardo Dondi, Giancarlo Mauri, Italo Zoppis, 2017, ICCS.

Combinatorial and Machine Learning Approaches in Clustering Microarray Data

Giancarlo Mauri, Italo Zoppis, Sergio Pozzi, 2004, WIRN.

Subsymbolically Managing Pieces of Symbolical Functions for Sorting

Bruno Apolloni, Italo Zoppis, I. Zoppis, 1996 .

Comparing incomplete sequences via longest common subsequence

Riccardo Dondi, Italo Zoppis, Mauro Castelli, 2019, Theor. Comput. Sci..

The Longest Filled Common Subsequence Problem

Riccardo Dondi, Giancarlo Mauri, Italo Zoppis, 2017, CPM.

Serum biomarkers of renal cell carcinoma assessed using a protein profiling approach based on ClinProt technique.

Stefano Ferrero, Italo Zoppis, Cristina Bianchi, 2010, Urology.

Availability of MudPIT data for classi(cid:28)cation of biological samples

Giancarlo Mauri, Italo Zoppis, Pierluigi Mauri, 2012 .

Machine learning approaches in MALDI-MSI: clinical applications

Giancarlo Mauri, Andrew Smith, Italo Zoppis, 2016, Expert review of proteomics.

Playing monotone games to understand learning behaviors

Bruno Apolloni, Simone Bassis, Dario Malchiodi, 2010, Theor. Comput. Sci..

Social media and mobile applications in chronic disease prevention and management

Giancarlo Mauri, Italo Zoppis, Gianluca Castelnuovo, 2015, Front. Psychol..

Copy-Number Alterations for Tumor Progression Inference

Giancarlo Mauri, Italo Zoppis, Isabella Castiglioni, 2013, AIME.

Twisting Features with Properties

Bruno Apolloni, Dario Malchiodi, Sabrina Gaito, 2001, WIRN.

Restricted and Swap Common Superstring: A Multivariate Algorithmic Perspective

P. Bonizzoni, G. Mauri, R. Dondi, 2015, Algorithmica.

Fighting the COVID-19 pandemic using the technology-based second-line in Italy and Lombardy: The urgent need of home-based remote monitoring systems to avoid the collapse of the hospital-centred first line

I. Zoppis, E. Molinari, G. Castelnuovo, 2020, Journal of global health.

An Attention-based Architecture for EEG Classification

Giancarlo Mauri, Fabio Stella, Sara Manzoni, 2020, BIOSIGNALS.

Tumor size, stage and grade alterations of urinary peptidome in RCC

G. Mauri, I. Zoppis, S. Bosari, 2015, Journal of Translational Medicine.

A Support Vector Machine Classification of Thyroid Bioptic Specimens Using MALDI-MSI Data

Giancarlo Mauri, Italo Zoppis, Fulvio Magni, 2016, Adv. Bioinformatics.

Stratification of biological samples based on proteomics data

Giancarlo Mauri, Italo Zoppis, D Di Silvestre, 2013 .

ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens pdf

Sara Manzoni, Italo Zoppis, Giada Pietrabissa, 2021, ArXiv.

DIABESITY: A Study for mHealth Integrated Solutions

Giancarlo Mauri, Italo Zoppis, Giada Pietrabissa, 2016, MobiHealth.

Online Social Space Identification. A Computational Tool for Optimizing Social Recommendations

Daniela Micucci, Giancarlo Mauri, Sara Manzoni, 2020, Applied Sciences.

Analysis of Correlation Structures in Renal Cell Carcinoma Patient Data

Giancarlo Mauri, Italo Zoppis, Marco Antoniotti, 2012, BIOINFORMATICS.

Nudges Driven Networks: Towards More Acceptable Recommendations for Inducing Targeted Social Communities

Daniela Micucci, Giancarlo Mauri, Sara Manzoni, 2019, INSCI.

Comparison of Attention-based Deep Learning Models for EEG Classification pdf

Urszula Markowska-Kaczmar, Sara Manzoni, Italo Zoppis, 2020, ArXiv.

On the tractability of finding disjoint clubs in a network

Riccardo Dondi, Giancarlo Mauri, Italo Zoppis, 2019, Theor. Comput. Sci..

Top k 2-Clubs in a Network: A Genetic Algorithm

Riccardo Dondi, Giancarlo Mauri, Sara Manzoni, 2019, ICCS.

Covering with Clubs: Complexity and Approximability pdf

Riccardo Dondi, Giancarlo Mauri, Italo Zoppis, 2018, IWOCA.

Optimizing Social Interaction - A Computational Approach to Support Patient Engagement

Riccardo Dondi, Giancarlo Mauri, Italo Zoppis, 2018, HEALTHINF.

Distributed Heuristics for Optimizing Cohesive Groups: A Support for Clinical Patient Engagement in Social Network Analysis

Riccardo Dondi, Giancarlo Mauri, Italo Zoppis, 2018, 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

Patient Engagement: Theoretical and Heuristic Approaches for Supporting the Clinical Practice.

Riccardo Dondi, Giancarlo Mauri, Sara Manzoni, 2018 .

Trend of FEV1 in Cystic Fibrosis patients: A telehomecare experience

Giancarlo Mauri, Italo Zoppis, Gianluca Castelnuovo, 2016, 2016 IEEE Symposium on Computers and Communication (ISCC).

Mutual Information Optimization for Mass Spectra Data Alignment

G. Mauri, I. Zoppis, B. Borroni, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Different expression of fibrinopeptide A and related fragments in serum of type 1 diabetic patients with nephropathy.

I. Zoppis, C. Chinello, E. Gianazza, 2010, Journal of proteomics.

Sub-symbolically managing pieces of symbolical functions for sorting

I. Zoppis, B. Apolloni, 1999, IEEE Trans. Neural Networks.

When Attention Turn To Be Explanation. A Case Study in Recommender Systems

Ricardo Anibal Matamoros Aragon, I. Zoppis, Sara Manzoni, 2023, xAI.

Proteomic profiles of thyroid tumors by mass spectrometry-imaging on tissue microarrays.

G. Mauri, I. Zoppis, M. Manzoni, 2017, Biochimica et biophysica acta. Proteins and proteomics.

A Mutual Information Approach to Data Integration for Alzheimer's Disease Patients

Giancarlo Mauri, Italo Zoppis, Erica Gianazza, 2009, AIME.

Convolutional Neural Networks for Quantitative Prediction of Different Organic Materials using Near-Infrared Spectrum

Sara Manzoni, Italo Zoppis, Cezar Sas, 2021, BIOSIGNALS.

Rapid Analysis of Powders Based on Deep Learning, Near-Infrared and Derivative Spectroscopy

Tegegn Dagmawi Delelegn, I. Zoppis, S. Manzoni, 2021, AIABI@AI*IA.

vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders

I. Zoppis, Giulia Cisotto, Alberto Zancanaro, 2023, ArXiv.

vEEGNet: A New Deep Learning Model to Classify and Generate EEG

I. Zoppis, Giulia Cisotto, Alberto Zancanaro, 2023, ICT4AWE.

hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications

I. Zoppis, Giulia Cisotto, Alberto Zancanaro, 2023, ArXiv.