Sub-symbolically managing pieces of symbolical functions for sorting. - Bruno Apolloni; Italo Zoppis (IEEE Trans. Neural Networks, 1999)

Twisting Features with Properties. - Bruno Apolloni; Dario Malchiodi; Italo Zoppis; Sabrina Gaito (WIRN, 2001)

A Probabilistic Neural Networks System to Recognize 3D Face of People. - Giancarlo Mauri; Italo Zoppis (WIRN, 2003)

Combinatorial and Machine Learning Approaches in Clustering Microarray Data. - Sergio Pozzi; Italo Zoppis; Giancarlo Mauri (WIRN, 2004)

Clustering Causal Relationships in Genes Expression Data. - Sergio Pozzi; Italo Zoppis; Giancarlo Mauri (WIRN/NAIS, 2005)

Controlling the losing probability in a monotone game. - Bruno Apolloni; Simone Bassis; Sabrina Gaito; Dario Malchiodi; Italo Zoppis (Inf. Sci., 2006)

Support Vector Clustering of Dependencies in Microarray Data. - Italo Zoppis; Sergio Pozzi; Giancarlo Mauri (IMECS, 2007)

Discovering Relations Among GO-Annotated Clusters by Graph Kernel Methods. - Italo Zoppis; Daniele Merico; Marco Antoniotti; Bud Mishra; Giancarlo Mauri (ISBRA, 2007)

Evaluating Graph Kernel Methods for Relation Discovery in GO-Annotated Clusters. - Daniele Merico; Italo Zoppis; Marco Antoniotti; Giancarlo Mauri (KES (3), 2007)

A Mutual Information Approach to Data Integration for Alzheimer's Disease Patients. - Italo Zoppis; Erica Gianazza; Clizia Chinello; Veronica Mainini; Carmen Galbusera; Carlo Ferrarese; Gloria Galimberti; Alessandro Sorbi; Barbara Borroni; Fulvio Magni; Giancarlo Mauri (AIME, 2009)

An application of kernel methods to gene cluster temporal meta-analysis. - Marco Antoniotti; Marco Carreras; Antonella Farinaccio; Giancarlo Mauri; Daniele Merico; Italo Zoppis (Comput. Oper. Res., 2010)

Playing monotone games to understand learning behaviors. - Bruno Apolloni; Simone Bassis; Sabrina Gaito; Dario Malchiodi; Italo Zoppis (Theor. Comput. Sci., 2010)

On the Complexity of the l-diversity Problem. - Riccardo Dondi; Giancarlo Mauri; Italo Zoppis (MFCS, 2011)

Analysis of Correlation Structures in Renal Cell Carcinoma Patient Data. - Italo Zoppis; Massimiliano Borsani; Erica Gianazza; Clizia Chinello; Francesco Rocco; Giancarlo Albo; André M. Deelder; Yuri E. M. van der Burgt; Fulvio Magni; Marco Antoniotti; Giancarlo Mauri (BIOINFORMATICS, 2012)

Poster: Characterization of distinguishing regions for Renal Cell Carcinoma discrimination. - Italo Zoppis; Massimiliano Borsani; Erica Gianazza; Clizia Chinello; Giancarlo Albo; Francesco Rocco; André M. Deelder; Yuri E. M. van der Burgt; Marco Antoniotti; Fulvio Magni; Giancarlo Mauri (ICCABS, 2012)

Restricted and Swap Common Superstring: A Parameterized View. - Paola Bonizzoni; Riccardo Dondi; Giancarlo Mauri; Italo Zoppis (IPEC, 2012)

Mutual Information Optimization for Mass Spectra Data Alignment. - Italo Zoppis; Erica Gianazza; Massimiliano Borsani; Clizia Chinello; Veronica Mainini; Carmen Galbusera; Carlo Ferrarese; Gloria Galimberti; Alessandro Sorbi; Barbara Borroni; Fulvio Magni; Marco Antoniotti; et al. (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Copy-Number Alterations for Tumor Progression Inference. - Claudia Cava; Italo Zoppis; Manuela Gariboldi; Isabella Castiglioni; Giancarlo Mauri; Marco Antoniotti (AIME, 2013)

Candidate biomarkers for response to tamoxifen in breast cancer metastatic patients. - Claudia Cava; Gloria Bertoli; Italo Zoppis; Giancarlo Mauri; Maria Carla Gilardi; Isabella Castiglioni (BIBE, 2013)

Combination of gene expression and genome copy number alteration has a prognostic value for breast cancer. - Claudia Cava; Italo Zoppis; Giancarlo Mauri; M. Ripamonti; Francesca Gallivanone; Christian Salvatore; Maria Carla Gilardi; Isabella Castiglioni (EMBC, 2013)

Availability of MudPIT data for classification of biological samples. - Dario Silvestre; Italo Zoppis; Francesca Brambilla; Valeria Bellettato; Giancarlo Mauri; Pierluigi Mauri (J. Clin. Bioinform., 2013)

The l-Diversity problem: Tractability and approximability. - Riccardo Dondi; Giancarlo Mauri; Italo Zoppis (Theor. Comput. Sci., 2013)

Combined analysis of chromosomal instabilities and gene expression for colon cancer progression inference. - Claudia Cava; Italo Zoppis; Manuela Gariboldi; Isabella Castiglioni; Giancarlo Mauri; Marco Antoniotti (J. Clin. Bioinform., 2014)

Robust Conclusions in Mass Spectrometry Analysis. - Italo Zoppis; Riccardo Dondi; Massimiliano Borsani; Erica Gianazza; Clizia Chinello; Fulvio Magni; Giancarlo Mauri (ICCS, 2015)

Restricted and Swap Common Superstring: A Multivariate Algorithmic Perspective. - Paola Bonizzoni; Riccardo Dondi; Giancarlo Mauri; Italo Zoppis (Algorithmica, 2015)

Trend of FEV1 in Cystic Fibrosis patients: A telehomecare experience. - Fabrizio Murgia; Irene Tagliente; Italo Zoppis; Giancarlo Mauri; Francesco Sicurello; Francesco Bella; Vanessa Mercuri; Eugenio Santoro; Gianluca Castelnuovo; Sergio Bella (ISCC, 2016)

Clique Editing to Support Case Versus Control Discrimination. - Riccardo Dondi; Giancarlo Mauri; Italo Zoppis (KES-IDT (1), 2016)

DIABESITY: A Study for mHealth Integrated Solutions. - Italo Zoppis; Giancarlo Mauri; Francesco Sicurello; Eugenio Santoro; Giada Pietrabissa; Gianluca Castelnuovo (MobiHealth, 2016)

A Support Vector Machine Classification of Thyroid Bioptic Specimens Using MALDI-MSI Data. - Manuel Galli; Italo Zoppis; Gabriele De Sio; Clizia Chinello; Fabio Pagni; Fulvio Magni; Giancarlo Mauri (Adv. Bioinformatics, 2016)

The Longest Filled Common Subsequence Problem. - Mauro Castelli; Riccardo Dondi; Giancarlo Mauri; Italo Zoppis (CPM, 2017)

10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2017. - Giuseppe Agapito; Mario Cannataro; Mauro Castelli; Riccardo Dondi; Italo Zoppis (ICCS, 2017)

Orthology Correction for Gene Tree Reconstruction: Theoretical and Experimental Results. - Riccardo Dondi; Giancarlo Mauri; Italo Zoppis (ICCS, 2017)

From protein-protein interactions to protein co-expression networks: a new perspective to evaluate large-scale proteomic data. - Danila Vella; Italo Zoppis; Giancarlo Mauri; Pierluigi Mauri; Dario Silvestre (EURASIP J. Bioinform. Syst. Biol., 2017)

Patient Engagement: Theoretical and Heuristic Approaches for Supporting the Clinical Practice. - Italo Zoppis; Riccardo Dondi; Sara Manzoni; Giancarlo Mauri (AI*AAL@AI*IA, 2018)

Optimizing Social Interaction - A Computational Approach to Support Patient Engagement. - Italo Zoppis; Riccardo Dondi; Eugenio Santoro; Gianluca Castelnuovo; Francesco Sicurello; Giancarlo Mauri (HEALTHINF, 2018)

Covering with Clubs: Complexity and Approximability. - Riccardo Dondi; Giancarlo Mauri; Florian Sikora; Italo Zoppis (IWOCA, 2018)

Distributed Heuristics for Optimizing Cohesive Groups: A Support for Clinical Patient Engagement in Social Network Analysis. - Italo Zoppis; Riccardo Dondi; Davide Coppetti; Alessandro Beltramo; Giancarlo Mauri (PDP, 2018)

Editorial of the Special Issue of the 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC 2017. - Giuseppe Agapito; Mario Cannataro; Mauro Castelli; Riccardo Dondi; Italo Zoppis (Comput., 2018)

A Computational Model for Promoting Targeted Communication and Supplying Social Explainable Recommendations. - Italo Zoppis; Sara Manzoni; Giancarlo Mauri (CBMS, 2019)

Optimized Social Explanation for Educational Platforms. - Italo Zoppis; Riccardo Dondi; Sara Manzoni; Giancarlo Mauri; Luca Marconi; Francesco Epifania (CSEDU (1), 2019)

Top k 2-Clubs in a Network: A Genetic Algorithm. - Mauro Castelli; Riccardo Dondi; Sara Manzoni; Giancarlo Mauri; Italo Zoppis (ICCS (5), 2019)

Top-k Overlapping Densest Subgraphs: Approximation and Complexity. - Riccardo Dondi; Mohammad Mehdi Hosseinzadeh; Giancarlo Mauri; Italo Zoppis (ICTCS, 2019)

Nudges Driven Networks: Towards More Acceptable Recommendations for Inducing Targeted Social Communities. - Italo Zoppis; Sara Manzoni; Giancarlo Mauri; Giada Pietrabissa; Andrea Trentini; Daniela Micucci; Gianluca Castelnuovo (INSCI, 2019)

System of Nudge Theory-Based ICT Applications for Older Citizens: The SENIOR Project. - Giada Pietrabissa; Italo Zoppis; Giancarlo Mauri; Roberta Ghiretti; Emanuele Maria Giusti; Roberto Cattivelli; Chiara Spatola; Gian Mauro Manzoni; Gianluca Castelnuovo (MindCare, 2019)

Covering a Graph with Clubs. - Riccardo Dondi; Giancarlo Mauri; Florian Sikora; Italo Zoppis (J. Graph Algorithms Appl., 2019)

Comparing incomplete sequences via longest common subsequence. - Mauro Castelli; Riccardo Dondi; Giancarlo Mauri; Italo Zoppis (Theor. Comput. Sci., 2019)

On the tractability of finding disjoint clubs in a network. - Riccardo Dondi; Giancarlo Mauri; Italo Zoppis (Theor. Comput. Sci., 2019)

Graph Isomorphism. - Riccardo Dondi; Giancarlo Mauri; Italo Zoppis (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Graph Algorithms. - Riccardo Dondi; Giancarlo Mauri; Italo Zoppis (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Kernel Machines: Introduction. - Italo Zoppis; Giancarlo Mauri; Riccardo Dondi (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Kernel Methods: Support Vector Machines. - Italo Zoppis; Giancarlo Mauri; Riccardo Dondi (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Kernel Machines: Applications. - Italo Zoppis; Giancarlo Mauri; Riccardo Dondi (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Approaching Explainable Recommendations for Personalized Social Learning: the Current Stage in the Educational Platform "WhoTeach". - Luca Marconi; Ricardo Anibal Matamoros Aragon; Italo Zoppis; Sara Manzoni; Giancarlo Mauri; Francesco Epifania (XAI.it@AI*IA, 2020)

Explainable Attentional Neural Recommendations for Personalized Social Learning. - Luca Marconi; Ricardo Anibal Matamoros Aragon; Italo Zoppis; Sara Manzoni; Giancarlo Mauri; Francesco Epifania (AI*IA, 2020)

An Attention-based Architecture for EEG Classification. - Italo Zoppis; Alessio Zanga; Sara Manzoni; Giulia Cisotto; Angela Morreale; Fabio Stella; Giancarlo Mauri (BIOSIGNALS, 2020)

Attentional Neural Mechanisms for Social Recommendations in Educational Platforms. - Italo Zoppis; Sara Manzoni; Giancarlo Mauri; Ricardo Anibal Matamoros Aragon; Luca Marconi; Francesco Epifania (CSEDU (1), 2020)

Complexity Issues of String to Graph Approximate Matching. - Riccardo Dondi; Giancarlo Mauri; Italo Zoppis (LATA, 2020)

Comparison of Attention-based Deep Learning Models for EEG Classification. - Giulia Cisotto; Alessio Zanga; Joanna Chlebus; Italo Zoppis; Sara Manzoni; Urszula Markowska-Kaczmar (CoRR, 2020)

Rapid Analysis of Powders Based on Deep Learning, Near-Infrared and Derivative Spectroscopy. - Tegegn Dagmawi Delelegn; Italo Francesco Zoppis; Sara Manzoni; Alessio Mognato; Ivan Reguzzoni; Edoardo Lotti (AIABI@AI*IA, 2021)

Convolutional Neural Networks for Quantitative Prediction of Different Organic Materials using Near-Infrared Spectrum. - Tegegn Dagmawi Delelegn; Italo Zoppis; Sara Manzoni; Cezar Sas; Edoardo Lotti (BIOSIGNALS, 2021)

ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens. - Giulia Cisotto; Andrea Trentini; Italo Zoppis; Alessio Zanga; Sara Manzoni; Giada Pietrabissa; Anna Guerrini Usubini; Gianluca Castelnuovo (CoRR, 2021)

Top-k overlapping densest subgraphs: approximation algorithms and computational complexity. - Riccardo Dondi; Mohammad Mehdi Hosseinzadeh; Giancarlo Mauri; Italo Zoppis (J. Comb. Optim., 2021)

Dense Temporal Subgraphs in Protein-Protein Interaction Networks. - Riccardo Dondi; Mohammad Mehdi Hosseinzadeh; Italo Zoppis (ICCS (1), 2022)

On the complexity of approximately matching a string to a directed graph. - Riccardo Dondi; Giancarlo Mauri; Italo Zoppis (Inf. Comput., 2022)

vEEGNet: A New Deep Learning Model to Classify and Generate EEG. - Alberto Zancanaro; Italo Francesco Zoppis; Sara Manzoni; Giulia Cisotto (ICT4AWE, 2023)

When Attention Turn To Be Explanation. A Case Study in Recommender Systems. - Ricardo Anibal Matamoros Aragon; Italo Zoppis; Sara Manzoni (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023)

hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications. - Giulia Cisotto; Alberto Zancanaro; Italo Francesco Zoppis; Sara L. Manzoni (CoRR, 2023)

vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders. - Alberto Zancanaro; Giulia Cisotto; Italo Zoppis; Sara Lucia Manzoni (CoRR, 2023)

Automating Resume Analysis: Knowledge Graphs via Prompt Engineering. - Giorgio Lazzarinetti; Sara Manzoni; Italo Zoppis (AI*IA, 2024)

An AI-empowered energy-efficient portable NIRS solution for precision agriculture: A pilot study on a citrus fruit. - Giulia Cisotto; Tegegn Dagmawi Delelegn; Alberto Zancanaro; Ivan Reguzzoni; Edoardo Lotti; Sara L. Manzoni; Italo Francesco Zoppis (FedCSIS, 2024)

FastMinTC+: A Fast and Effective Heuristic for Minimum Timeline Cover on Temporal Networks. - Giorgio Lazzarinetti; Sara Manzoni; Italo Zoppis; Riccardo Dondi (TIME, 2024)

Fine-Tuning of Distil-BERT for Continual Learning in Text Classification: An Experimental Analysis. - Sahar Shah; Sara Lucia Manzoni; Farooq Zaman; Fatima Es-Sabery; Francesco Epifania; Italo Francesco Zoppis (IEEE Access, 2024)

An Attention-Based Method for the Minimum Vertex Cover Problem on Complex Networks. - Giorgio Lazzarinetti; Riccardo Dondi; Sara Manzoni; Italo Zoppis (Algorithms, 2024)

hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction. - Giulia Cisotto; Alberto Zancanaro; Italo Francesco Zoppis; Sara L. Manzoni (Frontiers Neuroinformatics, 2024)

Neural Networks Bias Mitigation Through Fuzzy Logic and Saliency Maps. - Sahar Shah; Davide Ciucci; Sara L. Manzoni; Italo Francesco Zoppis (ICAART (3), 2025)