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

Gaining degrees of freedom in subsymbolic learning. - Bruno Apolloni; Dario Malchiodi (Theor. Comput. Sci., 2001)

Fuzzy Methods for Simplifying a Boolean Formula Inferred from Examples. - Bruno Apolloni; Dario Malchiodi; Christos Orovas; Anna Maria Zanaboni (FSKD, 2002)

Narrowing confidence interval width of PAC learning risk function by algorithmic inference. - Bruno Apolloni; Dario Malchiodi (AI&M, 2002)

From synapses to rules. - Bruno Apolloni; Dario Malchiodi; Christos Orovas; Giorgio Palmas (Cogn. Syst. Res., 2002)

Learning Rule Representations from Boolean Data. - Bruno Apolloni; Andrea Brega; Dario Malchiodi; Giorgio Palmas; Anna Maria Zanaboni (ICANN, 2003)

Drawing Attention to the Dangerous. - Stathis Kasderidis; John G. Taylor; Nicolas Tsapatsoulis; Dario Malchiodi (ICANN, 2003)

Monitoring of Car Driving Awareness from Biosignals. - Bruno Apolloni; Simone Bassis; Andrea Brega; Sabrina Gaito; Dario Malchiodi; Norberto Valcamonica; Anna Maria Zanaboni (WIRN, 2003)

Cooperative Games in a Stochastic Environment. - Bruno Apolloni; Simone Bassis; Sabrina Gaito; Dario Malchiodi (WIRN, 2003)

Detecting Driving Awareness. - Bruno Apolloni; Andrea Brega; Dario Malchiodi; Cristian Mesiano (PKDD, 2004)

Learning Continuous Functions through a New Linear Regression Method. - Bruno Apolloni; Simone Bassis; Sabrina Gaito; D. Iannizzi; Dario Malchiodi (WIRN, 2004)

Computing Confidence Intervals for the Risk of A SVM Classifier through Algorithmic Inference. - Bruno Apolloni; Simone Bassis; Sabrina Gaito; Dario Malchiodi; Alberto Minora (WIRN, 2004)

A general framework for learning rules from data. - Bruno Apolloni; Anna Esposito; Dario Malchiodi; Christos Orovas; Giorgio Palmas; John G. Taylor (IEEE Trans. Neural Networks, 2004)

BICA: a Boolean Independent Component Analysis Algorithm. - Bruno Apolloni; Dario Malchiodi; Andrea Brega (HIS, 2005)

An Evolution Hypothesis of Bacterial Populations. - Bruno Apolloni; Alberto Clivio; Simone Bassis; Sabrina Gaito; Dario Malchiodi (WIRN/NAIS, 2005)

Granular Regression. - Bruno Apolloni; D. Iannizzi; Dario Malchiodi; Witold Pedrycz (WIRN/NAIS, 2005)

A Fuzzy Method for Learning Simple Boolean Formulas from Examples. - Bruno Apolloni; Andrea Brega; Dario Malchiodi; Christos Orovas; Anna Maria Zanaboni (Computational Intelligence for Modelling and Prediction, 2005)

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

Learning rule representations from data. - Bruno Apolloni; Andrea Brega; Dario Malchiodi; Giorgio Palmas; Anna Maria Zanaboni (IEEE Trans. Syst. Man Cybern. Part A, 2006)

SVM with Random Labels. - Bruno Apolloni; Simone Bassis; Dario Malchiodi (KES (3), 2007)

A Modified SVM Classification Algorithm for Data of Variable Quality. - Bruno Apolloni; Dario Malchiodi; Luca Natali (KES (3), 2007)

Modeling individual's aging within a bacterial population using a pi-calculus paradigm. - Bruno Apolloni; Simone Bassis; Alberto Clivio; Sabrina Gaito; Dario Malchiodi (Nat. Comput., 2007)

Discovering regression data quality through clustering methods. - Dario Malchiodi; Simone Bassis; Lorenzo Valerio (WIRN, 2008)

Interpolating support information granules. - Bruno Apolloni; Simone Bassis; Dario Malchiodi; Witold Pedrycz (Neurocomputing, 2008)

The Puzzle of Granular Computing - Bruno Apolloni; Witold Pedrycz; Simone Bassis; Dario Malchiodi (Springer, 2008)

An experimental analysis of the impact of accuracy degradation in SVM classification. - Dario Malchiodi (Int. J. Comput. Intell. Stud., 2009)

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

Exploring the processing of formatted texts by a kynesthetic approach. - Carlo Bellettini; Mattia Monga; Violetta Lonati; Anna Morpurgo; Dario Malchiodi; Mauro Torelli (WiPSCE, 2012)

An Interpretation of the Boundary Movement Method for Imbalanced Dataset Classification Based on Data Quality. - Dario Malchiodi (WIRN, 2012)

Learning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering. - Dario Malchiodi; Witold Pedrycz (WILF, 2013)

Avoiding the Cluster Hypothesis in SV Classification of Partially Labeled Data. - Dario Malchiodi; Tommaso Legnani (WIRN, 2013)

Learning by Gossip: A Principled Information Exchange Model in Social Networks. - Bruno Apolloni; Dario Malchiodi; John G. Taylor (Cogn. Comput., 2013)

Extracurricular Activities for Improving the Perception of Informatics in Secondary Schools. - Carlo Bellettini; Violetta Lonati; Dario Malchiodi; Mattia Monga; Anna Morpurgo; Mauro Torelli; Luisa Zecca (ISSEP, 2014)

Informatics Education in Italian Secondary Schools. - Carlo Bellettini; Violetta Lonati; Dario Malchiodi; Mattia Monga; Anna Morpurgo; Mauro Torelli; Luisa Zecca (ACM Trans. Comput. Educ., 2014)

Is Coding the Way to Go? - Violetta Lonati; Dario Malchiodi; Mattia Monga; Anna Morpurgo (ISSEP, 2015)

How Challenging are Bebras Tasks?: An IRT Analysis Based on the Performance of Italian Students. - Carlo Bellettini; Violetta Lonati; Dario Malchiodi; Mattia Monga; Anna Morpurgo; Mauro Torelli (ITiCSE, 2015)

Selection of Negative Examples for Node Label Prediction Through Fuzzy Clustering Techniques. - Marco Frasca 001; Dario Malchiodi (Advances in Neural Networks, 2016)

Disease-Genes Must Guide Data Source Integration in the Gene Prioritization Process. - Marco Frasca 001; Jean-Fred Fontaine; Giorgio Valentini; Marco Mesiti; Marco Notaro; Dario Malchiodi; Miguel A. Andrade-Navarro (CIBB, 2017)

Fostering Computational Thinking in Secondary School through Music - An Educational Experience based on Google Blockly. - Adriano Baratè; Andrea Formica; Luca A. Ludovico; Dario Malchiodi (CSEDU (2), 2017)

A multimodal LEGO®-based learning activity mixing musical notation and computer programming. - Luca Andrea Ludovico; Dario Malchiodi; Luisa Zecca (MIE@ICMI, 2017)

Promoting Computational Thinking Skills: Would You Use this Bebras Task? - Annalisa Calcagni; Violetta Lonati; Dario Malchiodi; Mattia Monga; Anna Morpurgo (ISSEP, 2017)

Bebras as a Teaching Resource: Classifying the Tasks Corpus Using Computational Thinking Skills. - Violetta Lonati; Dario Malchiodi; Mattia Monga; Anna Morpurgo (ITiCSE, 2017)

Analysis of Informative Features for Negative Selection in Protein Function Prediction. - Marco Frasca 001; Fabio Lipreri; Dario Malchiodi (IWBBIO (2), 2017)

Fostering Computational Thinking in Primary School through a LEGO®-based Music Notation. - Adriano Baratè; Luca A. Ludovico; Dario Malchiodi (KES, 2017)

How presentation affects the difficulty of computational thinking tasks: an IRT analysis. - Violetta Lonati; Mattia Monga; Dario Malchiodi; Anna Morpurgo (Koli Calling, 2017)

Nothing to Fear but Fear Itself: Introducing Recursion in Lower Secondary Schools. - Violetta Lonati; Dario Malchiodi; Mattia Monga; Anna Morpurgo (LaTiCE, 2017)

A Platform for the Italian Bebras. - Carlo Bellettini; Fabrizio Carimati; Violetta Lonati; Riccardo Macoratti; Dario Malchiodi; Mattia Monga; Anna Morpurgo (CSEDU (1), 2018)

Informatics and Computational Thinking: A Teacher Professional Development Proposal Based on Social-Constructivism. - Carlo Bellettini; Violetta Lonati; Dario Malchiodi; Mattia Monga; Anna Morpurgo (ISSEP, 2018)

Predicting the possibilistic score of OWL axioms through modified support vector clustering. - Dario Malchiodi; Andrea G. B. Tettamanzi (SAC, 2018)

Predicting the Possibilistic Score of OWL Axioms Through Support Vector Regression. - Dario Malchiodi; Célia da Costa Pereira; Andrea G. B. Tettamanzi (SUM, 2018)

Some Thoughts About Appealing Directions for the Future of Fuzzy Theory and Technologies Along the Path Traced by Lotfi Zadeh. - Dario Malchiodi (WILF, 2018)

Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness. - Dario Malchiodi; Anna Maria Zanaboni (WILF, 2018)

Evaluating the impact of topological protein features on the negative examples selection. - Paolo Boldi; Marco Frasca 001; Dario Malchiodi (BMC Bioinform., 2018)

Correction to: Evaluating the impact of topological protein features on the negative examples selection. - Paolo Boldi; Marco Frasca 001; Dario Malchiodi (BMC Bioinform., 2018)

Compression strategies and space-conscious representations for deep neural networks. - Giosuè Cataldo Marinò; Gregorio Ghidoli; Marco Frasca 001; Dario Malchiodi (ICPR, 2020)

Classifying Candidate Axioms via Dimensionality Reduction Techniques. - Dario Malchiodi; Célia da Costa Pereira; Andrea G. B. Tettamanzi (MDAI, 2020)

Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. - Elena Casiraghi; Dario Malchiodi; Gabriella Trucco; Marco Frasca 001; Luca Cappelletti; Tommaso Fontana; Alessandro Andrea Esposito; Emanuele Avola; Alessandro Jachetti; Justin T. Reese; Alessandro Rizzi; Peter N. Robinson; et al. (IEEE Access, 2020)

Simultaneous Learning of Fuzzy Sets. - Luca Cermenati; Dario Malchiodi; Anna Maria Zanaboni (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks. - Giosuè Cataldo Marinò; Gregorio Ghidoli; Marco Frasca 001; Dario Malchiodi (RRPR, 2021)

Compact representations of convolutional neural networks via weight pruning and quantization. - Giosuè Cataldo Marinò; Alessandro Petrini; Dario Malchiodi; Marco Frasca 001 (CoRR, 2021)

Classification of Pottery Fragments Described by Concentration of Chemical Elements. - Anna Maria Zanaboni; Dario Malchiodi; Letizia Bonizzoni; Giulia Ruschioni (ICIAP Workshops (1), 2022)

On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters. - Giacomo Fumagalli; Davide Raimondi; Raffaele Giancarlo; Dario Malchiodi; Marco Frasca 001 (ICPRAM, 2022)

A Critical Analysis of Classifier Selection in Learned Bloom Filters. - Dario Malchiodi; Davide Raimondi; Giacomo Fumagalli; Raffaele Giancarlo; Marco Frasca 001 (CoRR, 2022)

Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry. - Andrea Condorelli; Dario Malchiodi (Informatics Educ., 2022)

A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials. - Dario Malchiodi; Davide Raimondi; Giacomo Fumagalli; Raffaele Giancarlo; Marco Frasca 001 (EANN, 2023)

Resource-Limited Automated Ki67 Index Estimation in Breast Cancer. - Jessica Gliozzo; Giosuè Cataldo Marinò; Arturo Bonometti; Marco Frasca 001; Dario Malchiodi (ICBRA, 2023)

Efficient and Compact Representations of Deep Neural Networks via Entropy Coding. - Giosuè Cataldo Marinò; Flavio Furia; Dario Malchiodi; Marco Frasca 001 (IEEE Access, 2023)

Deep neural networks compression: A comparative survey and choice recommendations. - Giosuè Cataldo Marinò; Alessandro Petrini; Dario Malchiodi; Marco Frasca 001 (Neurocomputing, 2023)

The promises of large language models for protein design and modeling. - Giorgio Valentini; Dario Malchiodi; Jessica Gliozzo; Marco Mesiti; Mauricio Soto Gomez; Alberto Cabri; Justin T. Reese; Elena Casiraghi; Peter N. Robinson (Frontiers Bioinform., 2023)

Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins. - Marco Nicolini; Dario Malchiodi; Alberto Cabri; Emanuele Cavalleri; Marco Mesiti; Alberto Paccanaro; Peter N. Robinson; Justin T. Reese; Elena Casiraghi; Giorgio Valentini (BIOSTEC (1), 2024)

Support Vector Based Anomaly Detection in Federated Learning. - Massimo Frasson; Dario Malchiodi (EANN, 2024)

Security Analysis of Cryptographic Algorithms: Hints from Machine Learning. - Mattia Paravisi; Andrea Visconti; Dario Malchiodi (EANN, 2024)

Initial achievements in relation extraction from RNA-focused scientific papers. - Emanuele Cavalleri; Mauricio Soto Gomez; Ali Pashaeibarough; Dario Malchiodi; J. Harry Caufield; Justin T. Reese; Christopher J. Mungall; Peter N. Robinson; Elena Casiraghi; Giorgio Valentini; Marco Mesiti (SEBD, 2024)

SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning. - Emanuele Cavalleri; Mauricio Soto Gomez; Ali Pashaeibarough; Dario Malchiodi; J. Harry Caufield; Justin T. Reese; Chris Mungall; Peter N. Robinson; Elena Casiraghi; Giorgio Valentini; Marco Mesiti (VLDB Workshops, 2024)

The role of classifiers and data complexity in learned Bloom filters: insights and recommendations. - Dario Malchiodi; Davide Raimondi; Giacomo Fumagalli; Raffaele Giancarlo; Marco Frasca 001 (J. Big Data, 2024)

Quench Detection and Localization via Interpretable Machine Learning. - Alessandro Biagiotti; Dario Malchiodi; Samuele Mariotto; Lucio Rossi (EANN (2), 2025)