Dario Malchiodi

Orcid: 0000-0002-7574-697X

According to our database1, Dario Malchiodi authored at least 70 papers between 2001 and 2024.

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Bibliography

2024
The role of classifiers and data complexity in learned Bloom filters: insights and recommendations.
J. Big Data, December, 2024

Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
Deep neural networks compression: A comparative survey and choice recommendations.
Neurocomputing, 2023

Efficient and Compact Representations of Deep Neural Networks via Entropy Coding.
IEEE Access, 2023

Resource-Limited Automated Ki67 Index Estimation in Breast Cancer.
Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023

A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials.
Proceedings of the Engineering Applications of Neural Networks, 2023

2022
Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry.
Informatics Educ., 2022

A Critical Analysis of Classifier Selection in Learned Bloom Filters.
CoRR, 2022

On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

Classification of Pottery Fragments Described by Concentration of Chemical Elements.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

2021
Compact representations of convolutional neural networks via weight pruning and quantization.
CoRR, 2021

Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks.
Proceedings of the Reproducible Research in Pattern Recognition, 2021

2020
Simultaneous Learning of Fuzzy Sets.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments.
IEEE Access, 2020

Classifying Candidate Axioms via Dimensionality Reduction Techniques.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2020

Compression strategies and space-conscious representations for deep neural networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018
Correction to: Evaluating the impact of topological protein features on the negative examples selection.
BMC Bioinform., 2018

Evaluating the impact of topological protein features on the negative examples selection.
BMC Bioinform., 2018

Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness.
Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

Some Thoughts About Appealing Directions for the Future of Fuzzy Theory and Technologies Along the Path Traced by Lotfi Zadeh.
Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

Predicting the Possibilistic Score of OWL Axioms Through Support Vector Regression.
Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018

Predicting the possibilistic score of OWL axioms through modified support vector clustering.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Informatics and Computational Thinking: A Teacher Professional Development Proposal Based on Social-Constructivism.
Proceedings of the Informatics in Schools. Fundamentals of Computer Science and Software Engineering, 2018

A Platform for the Italian Bebras.
Proceedings of the 10th International Conference on Computer Supported Education, 2018

2017
Nothing to Fear but Fear Itself: Introducing Recursion in Lower Secondary Schools.
Proceedings of the 2017 International Conference on Learning and Teaching in Computing and Engineering, 2017

How presentation affects the difficulty of computational thinking tasks: an IRT analysis.
Proceedings of the 17th Koli Calling Conference on Computing Education Research, 2017

Fostering Computational Thinking in Primary School through a LEGO<sup>®</sup>-based Music Notation.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Analysis of Informative Features for Negative Selection in Protein Function Prediction.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

Bebras as a Teaching Resource: Classifying the Tasks Corpus Using Computational Thinking Skills.
Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, 2017

Promoting Computational Thinking Skills: Would You Use this Bebras Task?
Proceedings of the Informatics in Schools: Focus on Learning Programming, 2017

A multimodal LEGO®-based learning activity mixing musical notation and computer programming.
Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education, 2017

Fostering Computational Thinking in Secondary School through Music - An Educational Experience based on Google Blockly.
Proceedings of the CSEDU 2017, 2017

Disease-Genes Must Guide Data Source Integration in the Gene Prioritization Process.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017

2016
Selection of Negative Examples for Node Label Prediction Through Fuzzy Clustering Techniques.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

2015
How Challenging are Bebras Tasks?: An IRT Analysis Based on the Performance of Italian Students.
Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, 2015

Is Coding the Way to Go?
Proceedings of the Informatics in Schools. Curricula, Competences, and Competitions, 2015

2014
Informatics Education in Italian Secondary Schools.
ACM Trans. Comput. Educ., 2014

Extracurricular Activities for Improving the Perception of Informatics in Secondary Schools.
Proceedings of the Informatics in Schools. Teaching and Learning Perspectives, 2014

2013
Learning by Gossip: A Principled Information Exchange Model in Social Networks.
Cogn. Comput., 2013

Avoiding the Cluster Hypothesis in SV Classification of Partially Labeled Data.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Learning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering.
Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013

2012
An Interpretation of the Boundary Movement Method for Imbalanced Dataset Classification Based on Data Quality.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

Exploring the processing of formatted texts by a kynesthetic approach.
Proceedings of the Workshop in Primary and Secondary Computing Education, 2012

2010
Playing monotone games to understand learning behaviors.
Theor. Comput. Sci., 2010

2009
An experimental analysis of the impact of accuracy degradation in SVM classification.
Int. J. Comput. Intell. Stud., 2009

2008
The Puzzle of Granular Computing
Studies in Computational Intelligence 138, Springer, ISBN: 978-3-540-79863-7, 2008

Interpolating support information granules.
Neurocomputing, 2008

Discovering regression data quality through clustering methods.
Proceedings of the New Directions in Neural Networks, 2008

2007
Modeling individual's aging within a bacterial population using a pi-calculus paradigm.
Nat. Comput., 2007

A Modified SVM Classification Algorithm for Data of Variable Quality.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

SVM with Random Labels.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006
Learning rule representations from data.
IEEE Trans. Syst. Man Cybern. Part A, 2006

Controlling the losing probability in a monotone game.
Inf. Sci., 2006

2005
A Fuzzy Method for Learning Simple Boolean Formulas from Examples.
Proceedings of the Computational Intelligence for Modelling and Prediction, 2005

Granular Regression.
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005

An Evolution Hypothesis of Bacterial Populations.
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005

BICA: a Boolean Independent Component Analysis Algorithm.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

2004
A general framework for learning rules from data.
IEEE Trans. Neural Networks, 2004

Computing Confidence Intervals for the Risk of A SVM Classifier through Algorithmic Inference.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

Learning Continuous Functions through a New Linear Regression Method.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

Detecting Driving Awareness.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

2003
Cooperative Games in a Stochastic Environment.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

Monitoring of Car Driving Awareness from Biosignals.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

Drawing Attention to the Dangerous.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Learning Rule Representations from Boolean Data.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
From synapses to rules.
Cogn. Syst. Res., 2002

Narrowing confidence interval width of PAC learning risk function by algorithmic inference.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2002

Fuzzy Methods for Simplifying a Boolean Formula Inferred from Examples.
Proceedings of the FSDK'02, 2002

2001
Gaining degrees of freedom in subsymbolic learning.
Theor. Comput. Sci., 2001

Twisting Features with Properties.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001


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