Dario Malchiodi

82 papers B 5C 7Misc 1Journal 26Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantization-Aware Regularizers for Deep Neural Networks Compression. CoRR Dario Malchiodi, Mattia Ferraretto, Marco Frasca
2025	—	`conf`	Quench Detection and Localization via Interpretable Machine Learning. EANN (2) Alessandro Biagiotti, Dario Malchiodi, Samuele Mariotto, Lucio Rossi
2024	—	`conf`	Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins. BIOSTEC (1) Marco Nicolini, Dario Malchiodi, Alberto Cabri, Emanuele Cavalleri, Marco Mesiti, Alberto Paccanaro, Peter N. Robinson, Justin T. Reese, Elena Casiraghi, Giorgio Valentini
2024	—	`conf`	Initial achievements in relation extraction from RNA-focused scientific papers. SEBD 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
2024	J	`jnl`	Resource-Limited Automated Ki67 Index Estimation in Breast Cancer. CoRR Jessica Gliozzo, Giosuè Cataldo Marinò, Arturo Bonometti, Marco Frasca, Dario Malchiodi
2024	—	`conf`	SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning. VLDB Workshops 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
2024	C	`conf`	Security Analysis of Cryptographic Algorithms: Hints from Machine Learning. EANN Mattia Paravisi, Andrea Visconti, Dario Malchiodi
2024	C	`conf`	Support Vector Based Anomaly Detection in Federated Learning. EANN Massimo Frasson, Dario Malchiodi
2024	J	`jnl`	Support Vector Based Anomaly Detection in Federated Learning. CoRR Massimo Frasson, Dario Malchiodi
2024	J	`jnl`	The role of classifiers and data complexity in learned Bloom filters: insights and recommendations. J. Big Data Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
2023	C	`conf`	A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials. EANN Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
2023	J	`jnl`	Deep neural networks compression: A comparative survey and choice recommendations. Neurocomputing Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca
2023	J	`jnl`	Efficient and Compact Representations of Deep Neural Networks via Entropy Coding. IEEE Access Giosuè Cataldo Marinò, Flavio Furia, Dario Malchiodi, Marco Frasca
2023	—	`conf`	Resource-Limited Automated Ki67 Index Estimation in Breast Cancer. ICBRA Jessica Gliozzo, Giosuè Cataldo Marinò, Arturo Bonometti, Marco Frasca, Dario Malchiodi
2023	J	`jnl`	The promises of large language models for protein design and modeling. Frontiers Bioinform. Giorgio Valentini, Dario Malchiodi, Jessica Gliozzo, Marco Mesiti, Mauricio Soto Gomez, Alberto Cabri, Justin T. Reese, Elena Casiraghi, Peter N. Robinson
2022	J	`jnl`	A Critical Analysis of Classifier Selection in Learned Bloom Filters. CoRR Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
2022	—	`conf`	Classification of Pottery Fragments Described by Concentration of Chemical Elements. ICIAP Workshops (1) Anna Maria Zanaboni, Dario Malchiodi, Letizia Bonizzoni, Giulia Ruschioni
2022	J	`jnl`	Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry. Informatics Educ. Andrea Condorelli, Dario Malchiodi
2022	C	`conf`	On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters. ICPRAM Giacomo Fumagalli, Davide Raimondi, Raffaele Giancarlo, Dario Malchiodi, Marco Frasca
2021	J	`jnl`	Compact representations of convolutional neural networks via weight pruning and quantization. CoRR Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca
2021	J	`jnl`	On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters. CoRR Giacomo Fumagalli, Davide Raimondi, Raffaele Giancarlo, Dario Malchiodi, Marco Frasca
2021	—	`conf`	Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks. RRPR Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
2020	B	`conf`	Classifying Candidate Axioms via Dimensionality Reduction Techniques. MDAI Dario Malchiodi, Célia da Costa Pereira, Andrea G. B. Tettamanzi
2020	B	`conf`	Compression strategies and space-conscious representations for deep neural networks. ICPR Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
2020	J	`jnl`	Compression strategies and space-conscious representations for deep neural networks. CoRR Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
2020	J	`jnl`	Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. IEEE Access 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
2020	—	`ch.`	Simultaneous Learning of Fuzzy Sets. Neural Approaches to Dynamics of Signal Exchanges Luca Cermenati, Dario Malchiodi, Anna Maria Zanaboni
2018	—	`conf`	A Platform for the Italian Bebras. CSEDU (1) Carlo Bellettini, Fabrizio Carimati, Violetta Lonati, Riccardo Macoratti, Dario Malchiodi, Mattia Monga, Anna Morpurgo
2018	J	`jnl`	Correction to: Evaluating the impact of topological protein features on the negative examples selection. BMC Bioinform. Paolo Boldi, Marco Frasca, Dario Malchiodi
2018	—	`conf`	Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness. WILF Dario Malchiodi, Anna Maria Zanaboni
2018	J	`jnl`	Evaluating the impact of topological protein features on the negative examples selection. BMC Bioinform. Paolo Boldi, Marco Frasca, Dario Malchiodi
2018	—	`conf`	Informatics and Computational Thinking: A Teacher Professional Development Proposal Based on Social-Constructivism. ISSEP Carlo Bellettini, Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo
2018	—	`conf`	Predicting the Possibilistic Score of OWL Axioms Through Support Vector Regression. SUM Dario Malchiodi, Célia da Costa Pereira, Andrea G. B. Tettamanzi
2018	Misc	`conf`	Predicting the possibilistic score of OWL axioms through modified support vector clustering. SAC Dario Malchiodi, Andrea G. B. Tettamanzi
2018	—	`conf`	Some Thoughts About Appealing Directions for the Future of Fuzzy Theory and Technologies Along the Path Traced by Lotfi Zadeh. WILF Dario Malchiodi
2017	—	`conf`	A multimodal LEGO®-based learning activity mixing musical notation and computer programming. MIE@ICMI Luca Andrea Ludovico, Dario Malchiodi, Luisa Zecca
2017	—	`conf`	Analysis of Informative Features for Negative Selection in Protein Function Prediction. IWBBIO (2) Marco Frasca, Fabio Lipreri, Dario Malchiodi
2017	B	`conf`	Bebras as a Teaching Resource: Classifying the Tasks Corpus Using Computational Thinking Skills. ITiCSE Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo
2017	—	`conf`	Disease-Genes Must Guide Data Source Integration in the Gene Prioritization Process. CIBB Marco Frasca, Jean-Fred Fontaine, Giorgio Valentini, Marco Mesiti, Marco Notaro, Dario Malchiodi, Miguel A. Andrade-Navarro
2017	B	`conf`	Fostering Computational Thinking in Primary School through a LEGO KES Adriano Baratè, Luca A. Ludovico, Dario Malchiodi
2017	—	`conf`	Fostering Computational Thinking in Secondary School through Music - An Educational Experience based on Google Blockly. CSEDU (2) Adriano Baratè, Andrea Formica, Luca A. Ludovico, Dario Malchiodi
2017	—	`conf`	How presentation affects the difficulty of computational thinking tasks: an IRT analysis. Koli Calling Violetta Lonati, Mattia Monga, Dario Malchiodi, Anna Morpurgo
2017	—	`conf`	Nothing to Fear but Fear Itself: Introducing Recursion in Lower Secondary Schools. LaTiCE Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo
2017	—	`conf`	Promoting Computational Thinking Skills: Would You Use this Bebras Task? ISSEP Annalisa Calcagni, Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo
2016	—	`ch.`	Selection of Negative Examples for Node Label Prediction Through Fuzzy Clustering Techniques. Advances in Neural Networks Marco Frasca, Dario Malchiodi
2015	B	`conf`	How Challenging are Bebras Tasks?: An IRT Analysis Based on the Performance of Italian Students. ITiCSE Carlo Bellettini, Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo, Mauro Torelli
2015	—	`conf`	Is Coding the Way to Go? ISSEP Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo
2014	—	`conf`	Extracurricular Activities for Improving the Perception of Informatics in Secondary Schools. ISSEP Carlo Bellettini, Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo, Mauro Torelli, Luisa Zecca
2014	J	`jnl`	Informatics Education in Italian Secondary Schools. ACM Trans. Comput. Educ. Carlo Bellettini, Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo, Mauro Torelli, Luisa Zecca
2013	—	`conf`	Avoiding the Cluster Hypothesis in SV Classification of Partially Labeled Data. WIRN Dario Malchiodi, Tommaso Legnani
2013	—	`conf`	Learning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering. WILF Dario Malchiodi, Witold Pedrycz
2013	J	`jnl`	Learning by Gossip: A Principled Information Exchange Model in Social Networks. Cogn. Comput. Bruno Apolloni, Dario Malchiodi, John G. Taylor
2012	—	`conf`	An Interpretation of the Boundary Movement Method for Imbalanced Dataset Classification Based on Data Quality. WIRN Dario Malchiodi
2012	—	`conf`	Exploring the processing of formatted texts by a kynesthetic approach. WiPSCE Carlo Bellettini, Mattia Monga, Violetta Lonati, Anna Morpurgo, Dario Malchiodi, Mauro Torelli
2010	J	`jnl`	Playing monotone games to understand learning behaviors. Theor. Comput. Sci. Bruno Apolloni, Simone Bassis, Sabrina Gaito, Dario Malchiodi, Italo Zoppis
2009	J	`jnl`	An experimental analysis of the impact of accuracy degradation in SVM classification. Int. J. Comput. Intell. Stud. Dario Malchiodi
2008	—	`conf`	Discovering regression data quality through clustering methods. WIRN Dario Malchiodi, Simone Bassis, Lorenzo Valerio
2008	J	`jnl`	Interpolating support information granules. Neurocomputing Bruno Apolloni, Simone Bassis, Dario Malchiodi, Witold Pedrycz
2008	—	`book`	The Puzzle of Granular Computing Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi
2007	—	`conf`	A Modified SVM Classification Algorithm for Data of Variable Quality. KES (3) Bruno Apolloni, Dario Malchiodi, Luca Natali
2007	J	`jnl`	Modeling individual's aging within a bacterial population using a pi-calculus paradigm. Nat. Comput. Bruno Apolloni, Simone Bassis, Alberto Clivio, Sabrina Gaito, Dario Malchiodi
2007	—	`conf`	SVM with Random Labels. KES (3) Bruno Apolloni, Simone Bassis, Dario Malchiodi
2006	J	`jnl`	Controlling the losing probability in a monotone game. Inf. Sci. Bruno Apolloni, Simone Bassis, Sabrina Gaito, Dario Malchiodi, Italo Zoppis
2006	—	`conf`	Interpolating Support Information Granules. ICANN (2) Bruno Apolloni, Simone Bassis, Dario Malchiodi, Witold Pedrycz
2006	J	`jnl`	Learning rule representations from data. IEEE Trans. Syst. Man Cybern. Part A Bruno Apolloni, Andrea Brega, Dario Malchiodi, Giorgio Palmas, Anna Maria Zanaboni
2005	—	`ch.`	A Fuzzy Method for Learning Simple Boolean Formulas from Examples. Computational Intelligence for Modelling and Prediction Bruno Apolloni, Andrea Brega, Dario Malchiodi, Christos Orovas, Anna Maria Zanaboni
2005	—	`conf`	An Evolution Hypothesis of Bacterial Populations. WIRN/NAIS Bruno Apolloni, Alberto Clivio, Simone Bassis, Sabrina Gaito, Dario Malchiodi
2005	C	`conf`	BICA: a Boolean Independent Component Analysis Algorithm. HIS Bruno Apolloni, Dario Malchiodi, Andrea Brega
2005	—	`conf`	Granular Regression. WIRN/NAIS Bruno Apolloni, D. Iannizzi, Dario Malchiodi, Witold Pedrycz
2004	J	`jnl`	A general framework for learning rules from data. IEEE Trans. Neural Networks Bruno Apolloni, Anna Esposito, Dario Malchiodi, Christos Orovas, Giorgio Palmas, John G. Taylor
2004	—	`conf`	Computing Confidence Intervals for the Risk of A SVM Classifier through Algorithmic Inference. WIRN Bruno Apolloni, Simone Bassis, Sabrina Gaito, Dario Malchiodi, Alberto Minora
2004	—	`conf`	Detecting Driving Awareness. PKDD Bruno Apolloni, Andrea Brega, Dario Malchiodi, Cristian Mesiano
2004	—	`conf`	Learning Continuous Functions through a New Linear Regression Method. WIRN Bruno Apolloni, Simone Bassis, Sabrina Gaito, D. Iannizzi, Dario Malchiodi
2003	—	`conf`	Cooperative Games in a Stochastic Environment. WIRN Bruno Apolloni, Simone Bassis, Sabrina Gaito, Dario Malchiodi
2003	C	`conf`	Drawing Attention to the Dangerous. ICANN Stathis Kasderidis, John G. Taylor, Nicolas Tsapatsoulis, Dario Malchiodi
2003	C	`conf`	Learning Rule Representations from Boolean Data. ICANN Bruno Apolloni, Andrea Brega, Dario Malchiodi, Giorgio Palmas, Anna Maria Zanaboni
2003	—	`conf`	Monitoring of Car Driving Awareness from Biosignals. WIRN Bruno Apolloni, Simone Bassis, Andrea Brega, Sabrina Gaito, Dario Malchiodi, Norberto Valcamonica, Anna Maria Zanaboni
2002	J	`jnl`	From synapses to rules. Cogn. Syst. Res. Bruno Apolloni, Dario Malchiodi, Christos Orovas, Giorgio Palmas
2002	—	`conf`	Fuzzy Methods for Simplifying a Boolean Formula Inferred from Examples. FSKD Bruno Apolloni, Dario Malchiodi, Christos Orovas, Anna Maria Zanaboni
2002	—	`conf`	Narrowing confidence interval width of PAC learning risk function by algorithmic inference. AI&M Bruno Apolloni, Dario Malchiodi
2001	J	`jnl`	Gaining degrees of freedom in subsymbolic learning. Theor. Comput. Sci. Bruno Apolloni, Dario Malchiodi
2001	—	`conf`	Twisting Features with Properties. WIRN Bruno Apolloni, Dario Malchiodi, Italo Zoppis, Sabrina Gaito