Roberto Esposito

Carlo Cavazzoni

Marco Aldinucci

Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), 2022

Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent.

[BibT_eX]

[DOI]

Mirko Polato

Marco Aldinucci

Proceedings of the International Joint Conference on Neural Networks, 2022

Model Checking Verification of MultiLayer Perceptrons in Datalog: a Many-valued Approach with Typicality.

[BibT_eX]

[DOI]

Daniele Theseider Dupré

Proceedings of the 4th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2022) co-located with the 16th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2022), 2022

Towards a Conditional and Multi-preferential Approach to Explainability of Neural Network Models in Computational Logic (Extended Abstract).

[BibT_eX]

[DOI]

Daniele Theseider Dupré

Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022

2021

NeuNAC: A novel fragile watermarking algorithm for integrity protection of neural networks.

[BibT_eX]

[DOI]

Marco Botta

Davide Cavagnino

Inf. Sci., 2021

Ranking Algorithms for Word Ordering in Surface Realization.

[BibT_eX]

[DOI]

Inf., 2021

ESA<sup>☆</sup>: A generic framework for semi-supervised inductive learning.

[BibT_eX]

[DOI]

Neurocomputing, 2021

An Inductive Framework for Semi-supervised Learning (Discussion Paper).

[BibT_eX]

[DOI]

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Fairness and Neural Networks.

[BibT_eX]

[DOI]

Alberto Riccardo Martinelli

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

HPC Application Cloudification: The StreamFlow Toolkit (Invited Paper).

[BibT_eX]

[DOI]

Proceedings of the 12th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and 10th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2021

TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale.

[BibT_eX]

[DOI]

Pier Stanislao Paolucci

Proceedings of the 24th Euromicro Conference on Digital System Design, 2021

The Italian research on HPC key technologies across EuroHPC.

[BibT_eX]

[DOI]

Marco Aldinucci

Giovanni Agosta

Antonio Andreini

Claudio Agostino Ardagna

Proceedings of the CF '21: Computing Frontiers Conference, 2021

2020

Constraining deep representations with a noise module for fair classification.

[BibT_eX]

[DOI]

Mattia Cerrato

Laura Li Puma

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Fair pairwise learning to rank.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Using Eye Tracking Data to Understand Visitors' Behaviour.

[BibT_eX]

[DOI]

Proceedings of the AVI²CH Workshop on Advanced Visual Interfaces and Interactions in Cultural Heritage co-located with 2020 International Conference on Advanced Visual Interfaces (AVI 2020), 2020

2019

Taxonomic and Whole Object Constraints: A Deep Architecture.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Partitioned Least Squares.

[BibT_eX]

[DOI]

Mattia Cerrato

Marco Locatelli

Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2017

A Neural Network Model for Taxonomic Responding with Realistic Visual Inputs.

[BibT_eX]

[DOI]

Giorgia Fenoglio

Valentina Gliozzi

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2015

Prediction and interpretation of the lipophilicity of small peptides.

[BibT_eX]

[DOI]

J. Comput. Aided Mol. Des., 2015

Autonomous abnormal behaviour detection in intelligence surveillance and reconnaissance applications.

[BibT_eX]

[DOI]

Proceedings of the 1st IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2015

2014

Bach Choral Harmony.

[BibT_eX]

[DOI]

Dataset, May, 2014

2013

CDoT: Optimizing MAP Queries on Trees.

[BibT_eX]

[DOI]

Alessia Visconti

Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

2011

Restructuring the Gene Ontology to emphasise regulative pathways and to improve gene similarity queries.

[BibT_eX]

[DOI]

Alessia Visconti

Francesca Cordero

Int. J. Comput. Biol. Drug Des., 2011

Tackling the DREAM Challenge for Gene Regulatory Networks Reverse Engineering.

[BibT_eX]

[DOI]

Alessia Visconti

Francesca Cordero

Proceedings of the AI*IA 2011: Artificial Intelligence Around Man and Beyond, 2011

2010

BREVE: An HMPerceptron-Based Chord Recognition System.

[BibT_eX]

[DOI]

Proceedings of the Advances in Music Information Retrieval, 2010

2009

CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2009

OpenCDLig: a free web application for sharing resources about cyclodextrin/ligand complexes.

[BibT_eX]

[DOI]

Giuseppe Ermondi

Giulia Caron

J. Comput. Aided Mol. Des., 2009

Empirical Assessment of Two Strategies for Optimizing the Viterbi Algorithm.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2009: Emergent Perspectives in Artificial Intelligence, 2009

2007

Incremental Extraction of Association Rules in Applicative Domains.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2007

CarpeDiem: an algorithm for the fast evaluation of SSL classifiers.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Tonal Harmony Analysis: A Supervised Sequential Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2007: Artificial Intelligence and Human-Oriented Computing, 2007

Trip Around the HMPerceptron Algorithm: Empirical Findings and Theoretical Tenets.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2007: Artificial Intelligence and Human-Oriented Computing, 2007

2006

Answering constraint-based mining queries on itemsets using previous materialized results.

[BibT_eX]

[DOI]

Rosa Meo

Marco Botta

J. Intell. Inf. Syst., 2006

A Conditional Model for Tonal Analysis.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

2005

Experimental comparison between bagging and Monte Carlo ensemble classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2005

Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2005: Advances in Artificial Intelligence, 2005

2004

Integrating Web Conceptual Modeling and Web Usage Mining.

[BibT_eX]

[DOI]

Proceedings of the Advances in Web Mining and Web Usage Analysis, 2004

A Monte Carlo analysis of ensemble classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

Query Rewriting in Itemset Mining.

[BibT_eX]

[DOI]

Rosa Meo

Marco Botta

Proceedings of the Flexible Query Answering Systems, 6th International Conference, 2004

Empirical Evaluation of the Effects of Concept Complexity on Generalization Error.

[BibT_eX]

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Employing Inductive Databases in Concrete Applications.

[BibT_eX]

[DOI]

Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

A Novel Incremental Approach to Association Rules Mining in Inductive Databases.

[BibT_eX]

[DOI]

Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

2003

Analyzing ensemble learning in the framework of Monte Carlo theory.

[BibT_eX]

[DOI]

PhD thesis, 2003

Monte Carlo Theory as an Explanation of Bagging and Boosting.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-03, 2003

Explaining Bagging with Monte Carlo Theory.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

2002

Is a Greedy Covering Strategy an Extreme Boosting?

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

2001

Boosting as a Monte Carlo Algorithm.

[BibT_eX]

[DOI]