Dario Malchiodi

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 40

Top Topics

Secondary School

Computational Thinking

Top Venues

Publications

Massimo Frasson, Dario Malchiodi
Support Vector Based Anomaly Detection in Federated Learning. CoRR (2024)
Marco Nicolini, Dario Malchiodi, Alberto Cabri, Emanuele Cavalleri, Marco Mesiti, Alberto Paccanaro, Peter N. Robinson, Justin T. Reese, Elena Casiraghi, Giorgio Valentini
Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins. BIOSTEC (1) (2024)
Jessica Gliozzo, Giosuè Marinò, Arturo Bonometti, Marco Frasca, Dario Malchiodi
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer. CoRR (2024)
Massimo Frasson, Dario Malchiodi
Support Vector Based Anomaly Detection in Federated Learning. EANN (2024)
Mattia Paravisi, Andrea Visconti, Dario Malchiodi
Security Analysis of Cryptographic Algorithms: Hints from Machine Learning. EANN (2024)
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
Initial achievements in relation extraction from RNA-focused scientific papers. SEBD (2024)
Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
The role of classifiers and data complexity in learned Bloom filters: insights and recommendations. J. Big Data 11 (1) (2024)
Giosuè Cataldo Marinò, Flavio Furia, Dario Malchiodi, Marco Frasca
Efficient and Compact Representations of Deep Neural Networks via Entropy Coding. IEEE Access 11 (2023)
Giorgio Valentini, Dario Malchiodi, Jessica Gliozzo, Marco Mesiti, Mauricio Soto Gomez, Alberto Cabri, Justin T. Reese, Elena Casiraghi, Peter N. Robinson
The promises of large language models for protein design and modeling. Frontiers Bioinform. 3 (2023)
Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials. EANN (2023)
Jessica Gliozzo, Giosuè Cataldo Marinò, Arturo Bonometti, Marco Frasca, Dario Malchiodi
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer. ICBRA (2023)
Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca
Deep neural networks compression: A comparative survey and choice recommendations. Neurocomputing 520 (2023)
Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
A Critical Analysis of Classifier Selection in Learned Bloom Filters. CoRR (2022)
Andrea Condorelli, Dario Malchiodi
Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry. Informatics Educ. 21 (4) (2022)
Anna Maria Zanaboni, Dario Malchiodi, Letizia Bonizzoni, Giulia Ruschioni
Classification of Pottery Fragments Described by Concentration of Chemical Elements. ICIAP Workshops (1) (2022)
Giacomo Fumagalli, Davide Raimondi, Raffaele Giancarlo, Dario Malchiodi, Marco Frasca
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters. ICPRAM (2022)
Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca
Compact representations of convolutional neural networks via weight pruning and quantization. CoRR (2021)
Giacomo Fumagalli, Davide Raimondi, Raffaele Giancarlo, Dario Malchiodi, Marco Frasca
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters. CoRR (2021)
Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks. RRPR (2021)
Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
Compression strategies and space-conscious representations for deep neural networks. ICPR (2020)
Dario Malchiodi, Célia da Costa Pereira, Andrea G. B. Tettamanzi
Classifying Candidate Axioms via Dimensionality Reduction Techniques. MDAI (2020)
Elena Casiraghi, Dario Malchiodi, Gabriella Trucco, Marco Frasca, Luca Cappelletti, Tommaso Fontana, Alessandro Andrea Esposito, Emanuele Avola, Alessandro Jachetti, Justin T. Reese, Alessandro Rizzi, Peter N. Robinson, Giorgio Valentini
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. IEEE Access 8 (2020)
Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
Compression strategies and space-conscious representations for deep neural networks. CoRR (2020)
Carlo Bellettini, Fabrizio Carimati, Violetta Lonati, Riccardo Macoratti, Dario Malchiodi, Mattia Monga, Anna Morpurgo
A Platform for the Italian Bebras. CSEDU (1) (2018)
Paolo Boldi, Marco Frasca, Dario Malchiodi
Evaluating the impact of topological protein features on the negative examples selection. BMC Bioinform. (14) (2018)
Dario Malchiodi, Anna Maria Zanaboni
Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness. WILF (2018)
Carlo Bellettini, Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo
Informatics and Computational Thinking: A Teacher Professional Development Proposal Based on Social-Constructivism. ISSEP (2018)
Dario Malchiodi, Andrea G. B. Tettamanzi
Predicting the possibilistic score of OWL axioms through modified support vector clustering. SAC (2018)
Dario Malchiodi
Some Thoughts About Appealing Directions for the Future of Fuzzy Theory and Technologies Along the Path Traced by Lotfi Zadeh. WILF (2018)
Dario Malchiodi, Célia da Costa Pereira, Andrea G. B. Tettamanzi
Predicting the Possibilistic Score of OWL Axioms Through Support Vector Regression. SUM (2018)
Paolo Boldi, Marco Frasca, Dario Malchiodi
Correction to: Evaluating the impact of topological protein features on the negative examples selection. BMC Bioinform. 19 (1) (2018)
Annalisa Calcagni, Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo
Promoting Computational Thinking Skills: Would You Use this Bebras Task? ISSEP (2017)
Violetta Lonati, Mattia Monga, Dario Malchiodi, Anna Morpurgo
How presentation affects the difficulty of computational thinking tasks: an IRT analysis. Koli Calling (2017)
Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo
Bebras as a Teaching Resource: Classifying the Tasks Corpus Using Computational Thinking Skills. ITiCSE (2017)
Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo
Nothing to Fear but Fear Itself: Introducing Recursion in Lower Secondary Schools. LaTiCE (2017)
Adriano Baratè, Luca A. Ludovico, Dario Malchiodi
-based Music Notation. KES (2017)
Marco Frasca, Jean-Fred Fontaine, Giorgio Valentini, Marco Mesiti, Marco Notaro, Dario Malchiodi, Miguel A. Andrade-Navarro
Disease-Genes Must Guide Data Source Integration in the Gene Prioritization Process. CIBB (2017)
Adriano Baratè, Andrea Formica, Luca A. Ludovico, Dario Malchiodi
Fostering Computational Thinking in Secondary School through Music - An Educational Experience based on Google Blockly. CSEDU (2) (2017)
Marco Frasca, Fabio Lipreri, Dario Malchiodi
Analysis of Informative Features for Negative Selection in Protein Function Prediction. IWBBIO (2) (2017)
Luca Andrea Ludovico, Dario Malchiodi, Luisa Zecca
A multimodal LEGO®-based learning activity mixing musical notation and computer programming. MIE@ICMI (2017)
Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo
Is Coding the Way to Go? ISSEP (2015)
Carlo Bellettini, Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo, Mauro Torelli
How Challenging are Bebras Tasks?: An IRT Analysis Based on the Performance of Italian Students. ITiCSE (2015)
Carlo Bellettini, Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo, Mauro Torelli, Luisa Zecca
Informatics Education in Italian Secondary Schools. ACM Trans. Comput. Educ. 14 (2) (2014)
Carlo Bellettini, Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo, Mauro Torelli, Luisa Zecca
Extracurricular Activities for Improving the Perception of Informatics in Secondary Schools. ISSEP (2014)
Bruno Apolloni, Dario Malchiodi, John G. Taylor
Learning by Gossip: A Principled Information Exchange Model in Social Networks. Cogn. Comput. 5 (3) (2013)
Dario Malchiodi, Tommaso Legnani
Avoiding the Cluster Hypothesis in SV Classification of Partially Labeled Data. WIRN (2013)
Dario Malchiodi, Witold Pedrycz
Learning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering. WILF (2013)
Carlo Bellettini, Mattia Monga, Violetta Lonati, Anna Morpurgo, Dario Malchiodi, Mauro Torelli
Exploring the processing of formatted texts by a kynesthetic approach. WiPSCE (2012)
Dario Malchiodi
An Interpretation of the Boundary Movement Method for Imbalanced Dataset Classification Based on Data Quality. WIRN (2012)
Bruno Apolloni, Simone Bassis, Sabrina Gaito, Dario Malchiodi, Italo Zoppis
Playing monotone games to understand learning behaviors. Theor. Comput. Sci. 411 (25) (2010)
Dario Malchiodi
An experimental analysis of the impact of accuracy degradation in SVM classification. Int. J. Comput. Intell. Stud. 1 (2) (2009)
Bruno Apolloni, Simone Bassis, Dario Malchiodi, Witold Pedrycz
Interpolating support information granules. Neurocomputing 71 (13-15) (2008)
Dario Malchiodi, Simone Bassis, Lorenzo Valerio
Discovering regression data quality through clustering methods. WIRN (2008)
Bruno Apolloni, Dario Malchiodi, Luca Natali
A Modified SVM Classification Algorithm for Data of Variable Quality. KES (3) (2007)
Bruno Apolloni, Simone Bassis, Alberto Clivio, Sabrina Gaito, Dario Malchiodi
Modeling individual's aging within a bacterial population using a pi-calculus paradigm. Nat. Comput. 6 (1) (2007)
Bruno Apolloni, Simone Bassis, Dario Malchiodi
SVM with Random Labels. KES (3) (2007)
Bruno Apolloni, Andrea Brega, Dario Malchiodi, Giorgio Palmas, Anna Maria Zanaboni
Learning rule representations from data. IEEE Trans. Syst. Man Cybern. Part A 36 (5) (2006)
Bruno Apolloni, Simone Bassis, Sabrina Gaito, Dario Malchiodi, Italo Zoppis
Controlling the losing probability in a monotone game. Inf. Sci. 176 (10) (2006)
Bruno Apolloni, Simone Bassis, Dario Malchiodi, Witold Pedrycz
Interpolating Support Information Granules. ICANN (2) (2006)
Bruno Apolloni, Alberto Clivio, Simone Bassis, Sabrina Gaito, Dario Malchiodi
An Evolution Hypothesis of Bacterial Populations. WIRN/NAIS (2005)
Bruno Apolloni, Dario Malchiodi, Andrea Brega
BICA: a Boolean Independent Component Analysis Algorithm. HIS (2005)
Bruno Apolloni, D. Iannizzi, Dario Malchiodi, Witold Pedrycz
Granular Regression. WIRN/NAIS (2005)
Bruno Apolloni, Simone Bassis, Sabrina Gaito, D. Iannizzi, Dario Malchiodi
Learning Continuous Functions through a New Linear Regression Method. WIRN (2004)
Bruno Apolloni, Anna Esposito, Dario Malchiodi, Christos Orovas, Giorgio Palmas, John G. Taylor
A general framework for learning rules from data. IEEE Trans. Neural Networks 15 (6) (2004)
Bruno Apolloni, Simone Bassis, Sabrina Gaito, Dario Malchiodi, A. Minora
Computing Confidence Intervals for the Risk of A SVM Classifier through Algorithmic Inference. WIRN (2004)
Bruno Apolloni, Andrea Brega, Dario Malchiodi, Cristian Mesiano
Detecting Driving Awareness. PKDD (2004)
Bruno Apolloni, Simone Bassis, Andrea Brega, Sabrina Gaito, Dario Malchiodi, Norberto Valcamonica, Anna Maria Zanaboni
Monitoring of Car Driving Awareness from Biosignals. WIRN (2003)
Bruno Apolloni, Simone Bassis, Sabrina Gaito, Dario Malchiodi
Cooperative Games in a Stochastic Environment. WIRN (2003)
Bruno Apolloni, Andrea Brega, Dario Malchiodi, Giorgio Palmas, Anna Maria Zanaboni
Learning Rule Representations from Boolean Data. ICANN (2003)
Stathis Kasderidis, John G. Taylor, Nicolas Tsapatsoulis, Dario Malchiodi
Drawing Attention to the Dangerous. ICANN (2003)
Bruno Apolloni, Dario Malchiodi, Christos Orovas, Giorgio Palmas
From synapses to rules. Cogn. Syst. Res. 3 (2) (2002)
Bruno Apolloni, Dario Malchiodi
Narrowing confidence interval width of PAC learning risk function by algorithmic inference. AI&M (2002)
Bruno Apolloni, Dario Malchiodi, Christos Orovas, Anna Maria Zanaboni
Fuzzy Methods for Simplifying a Boolean Formula Inferred from Examples. FSKD (2002)
Bruno Apolloni, Dario Malchiodi
Gaining degrees of freedom in subsymbolic learning. Theor. Comput. Sci. 255 (1-2) (2001)
Bruno Apolloni, Dario Malchiodi, Italo Zoppis, Sabrina Gaito
Twisting Features with Properties. WIRN (2001)