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2020 – today
- 2024
[j19]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): 45 (2024)- [c51]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: 561-568 - [c50]Massimo Frasson, Dario Malchiodi:
Support Vector Based Anomaly Detection in Federated Learning. EANN 2024: 274-287 - [c49]Mattia Paravisi, Andrea Visconti, Dario Malchiodi:
Security Analysis of Cryptographic Algorithms: Hints from Machine Learning. EANN 2024: 569-580 - [c48]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: 61-69 - [c47]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:
SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning. VLDB Workshops 2024 - [i6]Jessica Gliozzo, Giosuè Cataldo Marinò, Arturo Bonometti, Marco Frasca, Dario Malchiodi:
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer. CoRR abs/2401.00014 (2024) - [i5]Massimo Frasson, Dario Malchiodi:
Support Vector Based Anomaly Detection in Federated Learning. CoRR abs/2407.03920 (2024) - 2023
- [j18]Giosuè Cataldo Marinò, Flavio Furia, Dario Malchiodi, Marco Frasca:
Efficient and Compact Representations of Deep Neural Networks via Entropy Coding. IEEE Access 11: 106103-106125 (2023) - [j17]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) - [j16]Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca:
Deep neural networks compression: A comparative survey and choice recommendations. Neurocomputing 520: 152-170 (2023) - [c46]Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca:
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials. EANN 2023: 47-61 - [c45]Jessica Gliozzo, Giosuè Cataldo Marinò, Arturo Bonometti, Marco Frasca, Dario Malchiodi:
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer. ICBRA 2023: 165-172 - 2022
- [j15]Andrea Condorelli, Dario Malchiodi:
Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry. Informatics Educ. 21(4): 635-653 (2022) - [c44]Anna Maria Zanaboni, Dario Malchiodi, Letizia Bonizzoni, Giulia Ruschioni:
Classification of Pottery Fragments Described by Concentration of Chemical Elements. ICIAP Workshops (1) 2022: 141-151 - [c43]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: 675-682 - [i4]Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca:
A Critical Analysis of Classifier Selection in Learned Bloom Filters. CoRR abs/2211.15565 (2022) - 2021
- [c42]Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi:
Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks. RRPR 2021: 161-166 - [i3]Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca:
Compact representations of convolutional neural networks via weight pruning and quantization. CoRR abs/2108.12704 (2021) - [i2]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 abs/2112.06563 (2021) - 2020
- [j14]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: 196299-196325 (2020) - [c41]Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi:
Compression strategies and space-conscious representations for deep neural networks. ICPR 2020: 9835-9842 - [c40]Dario Malchiodi, Célia da Costa Pereira, Andrea G. B. Tettamanzi:
Classifying Candidate Axioms via Dimensionality Reduction Techniques. MDAI 2020: 179-191 - [p3]Luca Cermenati, Dario Malchiodi, Anna Maria Zanaboni:
Simultaneous Learning of Fuzzy Sets. Neural Approaches to Dynamics of Signal Exchanges 2020: 167-175 - [i1]Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi:
Compression strategies and space-conscious representations for deep neural networks. CoRR abs/2007.07967 (2020)
2010 – 2019
- 2018
- [j13]Paolo Boldi, Marco Frasca, Dario Malchiodi:
Correction to: Evaluating the impact of topological protein features on the negative examples selection. BMC Bioinform. 19(1): 530:1 (2018) - [j12]Paolo Boldi, Marco Frasca, Dario Malchiodi:
Evaluating the impact of topological protein features on the negative examples selection. BMC Bioinform. 19-S(14): 115-126 (2018) - [c39]Carlo Bellettini, Fabrizio Carimati, Violetta Lonati, Riccardo Macoratti, Dario Malchiodi, Mattia Monga, Anna Morpurgo:
A Platform for the Italian Bebras. CSEDU (1) 2018: 350-357 - [c38]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: 194-205 - [c37]Dario Malchiodi, Andrea G. B. Tettamanzi:
Predicting the possibilistic score of OWL axioms through modified support vector clustering. SAC 2018: 1984-1991 - [c36]Dario Malchiodi, Célia da Costa Pereira, Andrea G. B. Tettamanzi:
Predicting the Possibilistic Score of OWL Axioms Through Support Vector Regression. SUM 2018: 380-386 - [c35]Dario Malchiodi, Anna Maria Zanaboni:
Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness. WILF 2018: 17-28 - [c34]Dario Malchiodi:
Some Thoughts About Appealing Directions for the Future of Fuzzy Theory and Technologies Along the Path Traced by Lotfi Zadeh. WILF 2018: 240-243 - 2017
- [c33]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: 60-69 - [c32]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: 117-124 - [c31]Luca Andrea Ludovico, Dario Malchiodi, Luisa Zecca:
A multimodal LEGO®-based learning activity mixing musical notation and computer programming. MIE@ICMI 2017: 44-48 - [c30]Annalisa Calcagni, Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo:
Promoting Computational Thinking Skills: Would You Use this Bebras Task? ISSEP 2017: 102-113 - [c29]Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo:
Bebras as a Teaching Resource: Classifying the Tasks Corpus Using Computational Thinking Skills. ITiCSE 2017: 366 - [c28]Marco Frasca, Fabio Lipreri, Dario Malchiodi:
Analysis of Informative Features for Negative Selection in Protein Function Prediction. IWBBIO (2) 2017: 267-276 - [c27]Adriano Baratè, Luca A. Ludovico, Dario Malchiodi:
Fostering Computational Thinking in Primary School through a LEGO®-based Music Notation. KES 2017: 1334-1344 - [c26]Violetta Lonati, Mattia Monga, Dario Malchiodi, Anna Morpurgo:
How presentation affects the difficulty of computational thinking tasks: an IRT analysis. Koli Calling 2017: 60-69 - [c25]Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo:
Nothing to Fear but Fear Itself: Introducing Recursion in Lower Secondary Schools. LaTiCE 2017: 91-98 - 2016
- [p2]Marco Frasca, Dario Malchiodi:
Selection of Negative Examples for Node Label Prediction Through Fuzzy Clustering Techniques. Advances in Neural Networks 2016: 67-76 - 2015
- [c24]Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo:
Is Coding the Way to Go? ISSEP 2015: 165-174 - [c23]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: 27-32 - 2014
- [j11]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): 15:1-15:6 (2014) - [c22]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: 161-172 - 2013
- [j10]Bruno Apolloni, Dario Malchiodi, John G. Taylor:
Learning by Gossip: A Principled Information Exchange Model in Social Networks. Cogn. Comput. 5(3): 327-339 (2013) - [c21]Dario Malchiodi, Witold Pedrycz:
Learning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering. WILF 2013: 52-59 - [c20]Dario Malchiodi, Tommaso Legnani:
Avoiding the Cluster Hypothesis in SV Classification of Partially Labeled Data. WIRN 2013: 33-40 - 2012
- [c19]Carlo Bellettini, Mattia Monga, Violetta Lonati, Anna Morpurgo, Dario Malchiodi, Mauro Torelli:
Exploring the processing of formatted texts by a kynesthetic approach. WiPSCE 2012: 143-144 - [c18]Dario Malchiodi:
An Interpretation of the Boundary Movement Method for Imbalanced Dataset Classification Based on Data Quality. WIRN 2012: 21-27 - 2010
- [j9]Bruno Apolloni, Simone Bassis, Sabrina Gaito, Dario Malchiodi, Italo Zoppis:
Playing monotone games to understand learning behaviors. Theor. Comput. Sci. 411(25): 2384-2405 (2010)
2000 – 2009
- 2009
- [j8]Dario Malchiodi:
An experimental analysis of the impact of accuracy degradation in SVM classification. Int. J. Comput. Intell. Stud. 1(2): 163-190 (2009) - 2008
- [b1]Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi:
The Puzzle of Granular Computing. Studies in Computational Intelligence 138, Springer 2008, ISBN 978-3-540-79863-7, pp. 3-449 [contents] - [j7]Bruno Apolloni, Simone Bassis, Dario Malchiodi, Witold Pedrycz:
Interpolating support information granules. Neurocomputing 71(13-15): 2433-2445 (2008) - [c17]Dario Malchiodi, Simone Bassis, Lorenzo Valerio:
Discovering regression data quality through clustering methods. WIRN 2008: 76-85 - 2007
- [j6]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): 33-53 (2007) - [c16]Bruno Apolloni, Dario Malchiodi, Luca Natali:
A Modified SVM Classification Algorithm for Data of Variable Quality. KES (3) 2007: 131-139 - [c15]Bruno Apolloni, Simone Bassis, Dario Malchiodi:
SVM with Random Labels. KES (3) 2007: 184-193 - 2006
- [j5]Bruno Apolloni, Simone Bassis, Sabrina Gaito, Dario Malchiodi, Italo Zoppis:
Controlling the losing probability in a monotone game. Inf. Sci. 176(10): 1395-1416 (2006) - [j4]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): 1010-1028 (2006) - [c14]Bruno Apolloni, Simone Bassis, Dario Malchiodi, Witold Pedrycz:
Interpolating Support Information Granules. ICANN (2) 2006: 270-281 - 2005
- [c13]Bruno Apolloni, Dario Malchiodi, Andrea Brega:
BICA: a Boolean Independent Component Analysis Algorithm. HIS 2005: 131-136 - [c12]Bruno Apolloni, D. Iannizzi, Dario Malchiodi, Witold Pedrycz:
Granular Regression. WIRN/NAIS 2005: 147-156 - [c11]Bruno Apolloni, Alberto Clivio, Simone Bassis, Sabrina Gaito, Dario Malchiodi:
An Evolution Hypothesis of Bacterial Populations. WIRN/NAIS 2005: 214-230 - [p1]Bruno Apolloni, Andrea Brega, Dario Malchiodi, Christos Orovas, Anna Maria Zanaboni:
A Fuzzy Method for Learning Simple Boolean Formulas from Examples. Computational Intelligence for Modelling and Prediction 2005: 367-381 - 2004
- [j3]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): 1333-1349 (2004) - [c10]Bruno Apolloni, Andrea Brega, Dario Malchiodi, Cristian Mesiano:
Detecting Driving Awareness. PKDD 2004: 528-530 - [c9]Bruno Apolloni, Simone Bassis, Sabrina Gaito, Dario Malchiodi, Alberto Minora:
Computing Confidence Intervals for the Risk of A SVM Classifier through Algorithmic Inference. WIRN 2004: 225-234 - [c8]Bruno Apolloni, Simone Bassis, Sabrina Gaito, D. Iannizzi, Dario Malchiodi:
Learning Continuous Functions through a New Linear Regression Method. WIRN 2004: 235-243 - 2003
- [c7]Bruno Apolloni, Andrea Brega, Dario Malchiodi, Giorgio Palmas, Anna Maria Zanaboni:
Learning Rule Representations from Boolean Data. ICANN 2003: 875-882 - [c6]Stathis Kasderidis, John G. Taylor, Nicolas Tsapatsoulis, Dario Malchiodi:
Drawing Attention to the Dangerous. ICANN 2003: 909-916 - [c5]Bruno Apolloni, Simone Bassis, Sabrina Gaito, Dario Malchiodi:
Cooperative Games in a Stochastic Environment. WIRN 2003: 25-34 - [c4]Bruno Apolloni, Simone Bassis, Andrea Brega, Sabrina Gaito, Dario Malchiodi, Norberto Valcamonica, Anna Maria Zanaboni:
Monitoring of Car Driving Awareness from Biosignals. WIRN 2003: 269-277 - 2002
- [j2]Bruno Apolloni, Dario Malchiodi, Christos Orovas, Giorgio Palmas:
From synapses to rules. Cogn. Syst. Res. 3(2): 167-201 (2002) - [c3]Bruno Apolloni, Dario Malchiodi, Christos Orovas, Anna Maria Zanaboni:
Fuzzy Methods for Simplifying a Boolean Formula Inferred from Examples. FSKD 2002: 554-558 - [c2]Bruno Apolloni, Dario Malchiodi:
Narrowing confidence interval width of PAC learning risk function by algorithmic inference. AI&M 2002 - 2001
- [j1]Bruno Apolloni, Dario Malchiodi:
Gaining degrees of freedom in subsymbolic learning. Theor. Comput. Sci. 255(1-2): 295-321 (2001) - [c1]Bruno Apolloni, Dario Malchiodi, Italo Zoppis, Sabrina Gaito:
Twisting Features with Properties. WIRN 2001: 301-312
Coauthor Index
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last updated on 2024-11-08 21:30 CET by the dblp team
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