Dipartimento di InformaticaUniversità degli Studi di Milano

Pubblicazioni

143 pubblicazioni, 1996–2027

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2027

  1. Detecting LLM Hallucinations via Anomaly Detection on Latent Representations

    D. Malchiodi, L. Dal Mas, M. Frasca, M. W. Rivolta e I. Mazzon

    In Modeling Decisions for Artificial Intelligence, Springer Nature Switzerland, pp. 122–123

2026

  1. An Intelligent Web Application for Biomedical Knowledge Graph Curation

    M. Mesiti, M. Alavinezhad, E. Cavalleri, D. Malchiodi e P. Perlasca

    In Proceedings of Ital-IA 2026 · In stampa

  2. ADAZOR: Hypothesis Testing for Concept Drift Detection in Machine Learning

    A. M. Zanaboni, D. Malchiodi e A. Nasra

    In L. Iliadis, I. Maglogiannis, M. Antonakakis, C. Jayne (a cura di), Engineering Applications of Neural Networks, vol. 3025, Springer Nature Switzerland (Communications in Computer and Information Science), pp. 256–269

  3. Quantization-Aware Regularizers for Deep Neural Networks Compression

    D. Malchiodi, M. Ferraretto e M. Frasca

    In IJCNN 2026 Proceedings. · In stampa

  4. Compression Techniques for Membership Functions to Fuzzy Sets Learned from Data

    A. Dashti Genave, D. Malchiodi e M. Frasca

    In 2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Pisa, Italy, 2026, IEEE, pp. 1–6

  5. Better Negatives, Better Predictions: Negative Sample Selection Strategies for Enhancing Biomedical KG Edge Classification

    E. Cavalleri, M. Alavinezhad, M. Mesiti e D. Malchiodi

    In WWW Companion '26: Companion Proceedings of the ACM Web Conference, Association for Computing Machinery, pp. 597–606 · In stampa

2025

  1. Fine-tuning of conditional Transformers improves in silico enzyme prediction and generalization

    M. Nicolini, E. Saitto, R. E. Jimenez Franco, E. Cavalleri, A. J. Galeano Alfonso, D. Malchiodi, A. Paccanaro, P. N. Robinson, E. Casiraghi e G. Valentini

    Computational and Structural Biotechnology Journal 27, pp. 1318–1334

  2. Quench detection and localization via interpretable machine learning

    A. Biagiotti, D. Malchiodi, S. Mariotto e L. Rossi

    In L. Iliadis, I. Maglogiannis, E. Kyriacou, C. Jayne (a cura di), Engineering Applications of Neural Networks. EANN 2025., vol. 2582, Springer (Communications in Computer and Information Science), pp. 151–164

  3. One-class vs binary machine learning classification of ceramic samples described by chemical element concentrations

    D. Malchiodi, A. M. Zanaboni, A. Di Gioacchino e L. Bonizzoni

    Journal of Cultural Heritage 71, pp. 234–241

  4. Fatal fall from a height: is it possible to apply artificial intelligence techniques for height estimation?

    A. Blandino, A. M. Zanaboni, D. Malchiodi, C. V. Di Francesco, C. Spada, C. Faraone, G. V. Travaini e M. B. Casali

    International Journal of Legal Medicine 139, pp. 1255–1267

2024

  1. Initial achievements in relation extraction from RNA-focused scientific papers

    E. Cavalleri, M. Soto-Gomez, A. Pashaeibarough, D. Malchiodi, H. Caufield, J. Reese, C. J. Mungall, P. N. Robinson, E. Casiraghi, G. Valentini e M. Mesiti

    In M. Atzori, P. Ciacca, M. Ceci, F. Mandreoli, D. Malerba, M. Sanguinetti, A. Pellicani, F. Motta (a cura di), Proceedings of the 32nd Symposium on Advanced Database Systems, pp. 61–69

  2. Security Analysis of Cryptographic Algorithms: Hints from Machine Learning

    M. Paravisi, A. Visconti e D. Malchiodi

    In L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis, C. Jayne (a cura di), Engineering Applications of Neural Networks. EANN 2024., vol. 2141, Springer (Communications in Computer and Information Science), pp. 569–580

  3. Support Vector Based Anomaly Detection in Federated Learning

    M. Frasson e D. Malchiodi

    In L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis, C. Jayne (a cura di), Engineering Applications of Neural Networks. EANN 2024., vol. 2141, Springer (Communications in Computer and Information Science), pp. 274–287

  4. The role of classifiers and data complexity in learned Bloom filters: insights and recommendations

    D. Malchiodi, D. Raimondi, G. Fumagalli, R. Giancarlo e M. Frasca

    Journal of Big Data 11(45)

  5. SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning

    E. Cavalleri, M. Soto-Gomez, A. Pashaeibarough, D. Malchiodi, H. Caufield, J. Reese, C. J. Mungall, P. N. Robinson, E. Casiraghi, G. Valentini e M. Mesiti

    In Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, vldb.org, pp. 1–11

  6. Fine-Tuning of Conditional Transformers Improves the Generalization of Functionally Characterized Proteins

    M. Nicolini, D. Malchiodi, A. Cabri, E. Cavalleri, M. Mesiti, A. Paccanaro, P. N. Robinson, J. Reese, E. Casiraghi e G. Valentini

    In BIOSTEC 2024 - 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Proceedings, vol. 1, SCITEPRESS, pp. 561–568

  7. Resource-Limited Automated Ki67 Index Estimation in Breast Cancer

    J. Gliozzo, G. Marinò, A. Bonometti, M. Frasca e D. Malchiodi

    In Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications (ICBRA '23), ACM, pp. 165–172

2023

  1. The promises of large language models for protein design and modeling

    G. Valentini, D. Malchiodi, J. Gliozzo, M. Mesiti, M. Soto-Gomez, A. Cabri, J. Reese, E. Casiraghi e P. N. Robinson

    Frontiers in Bioinformatics 3, pp. 1304099.1—1304099.11

  2. Efficient and Compact Representations of Deep Neural Networks via Entropy Coding

    G. C. Marinò, F. Furia, D. Malchiodi e M. Frasca

    IEEE Access 11, pp. 106103—106125

  3. Supervised learning algorithms as a tool for archaeology: classification of ceramic samples described by chemical element concentrations

    G. Ruschioni, D. Malchiodi, A. M. Zanaboni e L. Bonizzoni

    Journal of Archaeological Science: Reports 49, pp. 103995

  4. A Critical Analysis of Classifier Selection in Learned Bloom Filters: the Essentials

    D. Malchiodi, D. Raimondi, G. Fumagalli, R. Giancarlo e M. Frasca

    In L. Iliadis, I. Maglogiannis, S. A. Castro, C. Jayne, E. Pimenidis (a cura di), Engineering Application of Neural Networks — 24th International Conference — EAAAI/EANN 2023 — León, Spain, June 14—17, 2023 —Proceedings, Springer Nature (Communications in Computer and Information Science 1826), pp. 47–61

  5. Deep neural networks compression: a comparative survey and choice recommendations

    G. C. Marinò, A. Petrini, D. Malchiodi e M. Frasca

    Neurocomputing 520, pp. 152–170

2022

  1. Classification of Pottery Fragments Described by Concentration of Chemical Elements

    A. M. Zanaboni, D. Malchiodi, L. Bonizzoni e G. Ruschioni

    In P. L. Mazzeo, E. Frontoni, S. Sclaroff, C. Distante (a cura di), Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022., vol. 13373, Springer (Lecture Notes in Computer Science), pp. 141–151

  2. On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters

    G. Fumagalli, D. Raimondi, R. Giancarlo, D. Malchiodi e M. Frasca

    In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods — ICPRAM, SciTePress, pp. 675–682

2021

  1. A pilot study for investigating the feasibility of supervised machine learning approaches for the classification of pedestrians struck by vehicles

    M. Casali, D. Malchiodi, C. Spada, A. M. Zanaboni, R. Cotroneo, D. Furci, A. Sommariva, U. Genovese e A. Blandino

    Journal of Forensics and Legal Medicine 84, pp. 102256

  2. Multiple retrospective analysis of survival and evaluation of cardiac death predictors in a population of dogs affected by degenerative mitral valve disease in ACVIM class C treated with different therapeutic protocols

    M. Bagardi, C. Locatelli, A. M. Zanaboni, A. Galizzi, D. Malchiodi e P. G. Brambilla

    Polish Journal of Veterinary Sciences 24(1), pp. 109–118

  3. Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical, and a Qualitative Chest X-Ray Scoring System

    A. A. Esposito, E. Casiraghi, F. Chiaraviglio, A. Scarabelli, E. Stellato, G. Plensich, G. Lastella, L. Di Meglio, S. Fusco, E. Avola, A. Jachetti, C. Giannitto, D. Malchiodi, M. Frasca, A. Beheshti, P. N. Robinson, G. Valentini, L. Forzenigo e G. Carrafiello

    Reports in Medical Imaging 14, pp. 27–39

  4. Factors affecting the urinary aldosterone-to-creatinine ratio in healthy dogs and dogs with naturally occurring myxomatous mitral valve disease

    A. Galizzi, M. Bagardi, A. Stranieri, A. M. Zanaboni, D. Malchiodi, V. Borromeo, P. G. Brambilla e C. Locatelli

    BMC Veterinary Research 17(1), pp. 1–14

  5. Reproducing the sparse Huffman Address Map compression for deep neural networks

    G. C. Marinò, G. Ghidoli, M. Frasca e D. Malchiodi

    In B. Kerautret, M. Colom, A. Krähenbühl, Adrien, D. Lopresti, P. Monasse, H. Talbot (a cura di), Reproducible Research in Pattern Recognition, Springer International Publishing (Lecture Notes in Computer Science 12636), pp. 161–166

  6. Compression strategies and space-conscious representations for deep neural networks

    G. C. Marinò, G. Ghidoli, M. Frasca e D. Malchiodi

    In 2020 25th International Conference on Pattern Recognition (ICPR), IEEE, pp. 9835–9842

2020

  1. Explainable machine learning for early assessment of COVID-19 risk prediction in emergency departments

    E. Casiraghi, D. Malchiodi, G. Trucco, M. Frasca, L. Cappelletti, T. Fontana, A. A. Esposito, E. Avola, A. Jachetti, J. Reese, A. Rizzi, P. N. Robinson e G. Valentini

    IEEE Access 8, pp. 196299–196325

  2. Algomotricità: manipolare i fondamenti dell'Informatica

    C. Bellettini, V. Lonati, D. Malchiodi, M. Monga e A. Morpurgo

    In E. Nardelli (a cura di), Coding e oltre: l'informatica nella scuola, Liscianilibri

  3. Classifying Candidate Axioms via Dimensionality Reduction Techniques

    D. Malchiodi, C. da Costa Pereira e A. G. Tettamanzi

    In V. Torra, Y. Narukawa, J. Nin, N. Agell (a cura di), Modeling Decisions for Artificial Intelligence. 17th International Conference, MDAI 2020 Sant Cugat, Spain, September 2–4, 2020 Proceedings, cap. 15, Springer (Lecture Notes in Computer Sciencce 12256), pp. 179–191

  4. Simultaneous Learning of Fuzzy Sets

    L. Cermenati, D. Malchiodi e A. M. Zanaboni

    In A. Esposito, M. Faundez-Zanuy, M. Morabito, E. Pasero (a cura di), Neural Approaches to Dynamics of Signal Exchanges, vol. 151, Springer (Smart Innovation, Systems and Technologies), pp. 167–175

2019

  1. Constructionist Attempts at Supporting the Learning of Computer Programming: A Survey

    M. Lodi, D. Malchiodi, M. Monga, A. Morpurgo e B. Spieler

    Olympiads in Informatics 13, pp. 99–121

  2. Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness

    D. Malchiodi e A. M. Zanaboni

    In R. Fullér, S. Giove, F. Masulli (a cura di), Fuzzy Logic and Applications — 12th International Workshop, WILF 2018 Genoa, Italy, September 6–7, 2018 — Revised Selected Papers, Springer Nature Switzerland AG (Lecture Notes in Artificial Intelligence 11291), pp. 17–28

  3. Some Thoughts About Appealing Directions for the Future of Fuzzy Theory and Technologies Along the Path Traced by Lotfi Zadeh

    D. Malchiodi

    In R. Fullér, S. Giove, F. Masulli (a cura di), Fuzzy Logic and Applications — 12th International Workshop, WILF 2018 Genoa, Italy, September 6–7, 2018 — Revised Selected Papers, Springer Nature Switzerland AG (Lecture Notes in Artificial Intelligence 11291), pp. 240–243

  4. Disease-Genes Must Guide Data Source Integration in the Gene Prioritization Process

    M. Frasca, J. F. Fontaine, G. Valentini, M. Mesiti, M. Notaro, D. Malchiodi e M. Andrade-Navarro

    In M. Bartoletti, A. Barla, A. Bracciali, G. W. Klau, L. Peterson, A. Policriti, R. Tagliaferri (a cura di), Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2017, Springer (Lecture Notes in Computer Science 10834 / Lecture Notes in Bioinformatics 10834), pp. 60—69

2018

  1. Informatics and Computational Thinking: A Teacher Professional Development Proposal Based on Social-Constructivism

    C. Bellettini, V. Lonati, D. Malchiodi, M. Monga e A. Morpurgo

    In Informatics in Schools. Fundamentals of Computer Science and Software Engineering., Springer (Lecture Notes in Computer Science 11169), pp. 194–205

  2. Predicting the Possibilistic Score of OWL Axioms through Support Vector Regression

    D. Malchiodi, C. da Costa Pereira e A. G. Tettamanzi

    In D. Ciucci, G. Pasi, B. Vantaggi (a cura di), Scalable Uncertainty Management. SUM 2018, Springer (Lecture Notes in Artificial Intelligence 11142)

  3. Learning to Program in a Constructionist Way

    M. Monga, M. Lodi, D. Malchiodi, A. Morpurgo e B. Spieler

    In V. Dagienė, E. Jasutė (a cura di), Constructionism 2018: Computational Thinking and Educational Innovation: conference proceedings, Vilnius University, pp. 906–929

  4. Informatica e pensiero computazionale: una proposta costruttivista per gli insegnanti

    C. Bellettini, V. Lonati, D. Malchiodi, M. Monga e A. Morpurgo

    In G. Adorni, M. Cicognani, F. Koceva, G. Mastronardi (a cura di), Didamatica 2018: Didattica Informatica, AICA, pp. 201–210

  5. A Platform for the Italian Bebras

    A. Morpurgo, M. Monga, D. Malchiodi, R. Macoratti, V. Lonati, F. Carimati e C. Bellettini

    In Proceedings of 10th International Conference on Computer Supported Education, SCITEPRESS, pp. 350–357

  6. Evaluating the impact of topological protein features on the negative examples selection

    P. Boldi, M. Frasca e D. Malchiodi

    BMC Bioinformatics 19(14), pp. 417.115–417.126

  7. Predicting the Possibilistic Score of OWL Axioms through Modified Support Vector Clustering

    D. Malchiodi e A. G. Tettamanzi

    In H. Haddad, R. L. Wainwright, R. Chbeir (a cura di), SAC'18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing, ACM, pp. 1984–1991

2017

  1. How presentation affects the difficulty of computational thinking tasks: an IRT analysis

    V. Lonati, D. Malchiodi, M. Monga e A. Morpurgo

    In Proceedings of 17th Koli Calling International Conference on Computing Education Research, ACM, pp. 60–69

  2. Promoting Computational Thinking Skills: Would You Use this Bebras Task?

    A. Calcagni, V. Lonati, D. Malchiodi, M. Monga e A. Morpurgo

    In V. Dagienė, H. Hellas (a cura di), Informatics in Schools: Focus on Learning Programming, Springer (Lecture Notes in Computer Science), pp. 102–113

  3. Fostering Computational Thinking in Primary School through a LEGO®-based Music Notation

    A. Baratè, L. A. Ludovico e D. Malchiodi

    Procedia computer science 112, pp. 1334–1344 · Special issue: KES 2017 - Proceedings of the 21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems

  4. Learning Greedy Strategies at Secondary Schools: An Active Approach

    V. Lonati, D. Malchiodi, M. Monga e A. Morpurgo

    In A. Sforza, C. Sterle (a cura di), Optimization and Decision Science: Methodologies and Applications, cap. 23, Springer (Proceedings in Mathematics & Statistics), pp. 223–231

  5. Bebras as a teaching resource

    V. Lonati, D. Malchiodi, M. Monga e A. Morpurgo

    In ITiCSE '17 Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, ACM, pp. 366–366

  6. Nothing to fear but fear itself: introducing recursion in lower secondary schools

    V. Lonati, D. Malchiodi, M. Monga e A. Morpurgo

    In International Conference on Learning and Teaching in Computing and Engineering (LATICE), 2017, IEEE, pp. 91–98

  7. Exploiting Negative Sample Selection for Prioritizing Candidate Disease Genes

    M. Frasca e D. Malchiodi

    Genomics and Computational Biology 3(3), pp. e47

  8. Analysis of Informative Features for Negative Selection in Protein Function Prediction

    M. Frasca, F. Lipreri e D. Malchiodi

    In I. Rojas, F. Ortuño (a cura di), Bioinformatics and Biomedical Engineering 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26–28, 2017, Proceedings, Part II, vol. 10209

  9. Fostering Computational Thinking in Secondary School through Music: An Educational Experience based on Google Blockly

    A. Baratè, A. Formica, L. A. Ludovico e D. Malchiodi

    In P. Escudeiro, G. Costagliola, S. Zvacek, J. Uhomoibhi, B. M. McLaren (a cura di), Proceedings of the 9th International Conference on Computer Supported Education, SCITEPRESS, pp. 117–124

  10. Turing: la nascita dell'intelligenza artificiale

    M. Monga, D. Malchiodi, A. Morpurgo e M. Torelli

    Corriere della Sera, Grandangolo Scienza

2016

  1. A playful tool to introduce lower secondary school pupils to recursive thinking

    V. Lonati, D. Malchiodi, M. Monga, A. Morpurgo e M. Previtali

    In Proceedings of 9th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2016, pp. 51–52

  2. Selection of Negative Examples for Node Label Prediction through Fuzzy Clustering Techniques

    M. Frasca e D. Malchiodi

    In S. Bassis, A. Esposito, F. C. Morabito, E. Pasero (a cura di), Advances in Neural Networks: Computational Intelligence for ICT, Springer International Publishing, pp. 67–76

2015

  1. La formazione degli insegnanti della classe 42/A – Informatica: l'esperienza dell'Università degli Studi di Milano

    C. Bellettini, V. Lonati, D. Malchiodi, M. Monga, A. Morpurgo e F. Pedersini

    In A. Labella (a cura di), E questo tutti chiamano Informatica, cap. 4, Sapienza Università Editrice, pp. 53–76

  2. VII Kangourou dell'informatica 2014-2015

    A. Lissoni, V. Lonati, D. Malchiodi, M. Monga, A. Morpurgo, L. Repetto e M. Torelli

    Edizioni Kangourou Italia, ISBN 978-88-89249-41-3

  3. How Challenging are Bebras Tasks? An IRT analysis based on the performance of Italian students

    C. Bellettini, V. Lonati, D. Malchiodi, M. Monga, A. Morpurgo e M. Torelli

    In ITiCSE '15 Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, ACM, pp. 27–32

  4. Is coding the way to go?

    V. Lonati, D. Malchiodi, M. Monga e A. Morpurgo

    In A. Brodnik, J. Vahrenhold (a cura di), Informatics in Schools. Curricula, Competences, and Competitions, Springer International Publishing, pp. 165–174

  5. Experience of an International Collaborative Project with First Year Programming Students

    J. Paterson, M. Karhu, W. Cazzola, I. Illina, R. Law, D. Malchiodi, M. Maximiano e C. Silva

    In Proceedings of the IEEE 39th Annual Computer Software and Applications Conference (COMPSAC'15), pp. 829–834

  6. Sistemi operativi – esercizi risolti e commentati

    D. Malchiodi

    , ISBN 978-88-91091-41-3

2014

  1. VI Kangourou dell'Informatica 2013--2014

    A. Lissoni, V. Lonati, D. Malchiodi, M. Monga, A. Morpurgo, L. Repetto e M. Torelli

    Edizioni Kangourou Italia, ISBN 9788889249376

  2. Informatics Education in Italian Secondary School

    C. Bellettini, V. Lonati, D. Malchiodi, M. Monga, A. Morpurgo, M. Torelli e L. Zecca

    ACM Transactions on Computing Education (TOCE) – Special Issue on Computing Education in (K-12) Schools 14(2), pp. 15.1–15.6

  3. Extracurricular Activities for Improving the Perception of Informatics in Secondary Schools

    C. Bellettini, V. Lonati, D. Malchiodi, M. Monga, A. Morpurgo, M. Torelli e L. Zecca

    In Y. Gülbahar, E. Karataş (a cura di), Informatics in Schools. Teaching and Learning Perspectives – 7th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2014, Istanbul, Turkey, September 22-25, 2014. Proceedings, vol. 8730, Springer International Publishing (Lecture Notes in Computer Science), pp. 161–172

  4. Teaching Informatics for Fun and Profit

    C. Bellettini, V. Lonati, D. Malchiodi, M. Monga, A. Morpurgo e M. Torelli

    In A. Raschi, A. Di Fabio, L. Sebastiani (a cura di), Proceedings of the International Workshop on Science Education and Guidance in Schools: The Way Forward, Edizioni ETS, pp. 125–128

  5. Avoiding the Cluster Hypothesis in SV Classification of Partially Labeled Data

    D. Malchiodi e T. Legnani

    In S. Bassis, A. Esposito, F. C. Morabito (a cura di), Recent Advances of Neural Networks Models and Applications. Proceedings of the 23nd Workshop of the Italian Neural Networks Society (SIREN), May 23-25, Vietri sul Mare, Salerno, Italy, vol. 26, Springer (Smart Innovation, Systems and Technologies), pp. 33–40

2013

  1. Learning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering

    D. Malchiodi e W. Pedrycz

    In F. Masulli, G. Pasi, R. Yager (a cura di), Fuzzy Logic and Applications. 10th International Workshop, WILF 2013, Genoa, Italy, November 19–22, 2013. Proceedings., vol. 8256, Springer International Publishing, Switzerland (Lecture Notes on Artificial Intelligence), pp. 52–59

  2. V Kangourou dell'Informatica 2012--2013. Testi, soluzioni e commenti

    A. Lissoni, V. Lonati, D. Malchiodi, M. Monga, A. Morpurgo e M. Torelli

    Edizioni Kangourou Italia, ISBN 978-88-89249-34-5

  3. Learning by Gossip: A Principled Information Exchange Model in Social Networks

    B. Apolloni, D. Malchiodi e J. G. Taylor

    Cognitive Computation 5(3), pp. 327–339

  4. What you see is what you have in mind: constructing mental models for formatted text processing

    C. Bellettini, V. Lonati, D. Malchiodi, M. Monga, A. Morpurgo e M. Torelli

    In I. Diethelm, J. Arndt, M. Dünnebier, J. (a cura di), Informatics in Schools: Local Proceedings of the 6th International Conference ISSEP 2013 - Selected Papers, vol. 6, Universitätsverlag Potsdam (Commentarii informaticae didacticae), pp. 139–147

  5. MUT: un framework di test automatico per Wolfram Mathematica

    D. Malchiodi

    In Mathematica Italia User Group Meeting 2013 - Atti del Convegno, Adalta

  6. An interpretation of the boundary movement method for imbalanced dataset classification based on data quality

    D. Malchiodi

    In B. Apolloni, S. Bassis, A. Esposito, F. C. Morabito (a cura di), Neural Nets and Surroundings. 22nd Italian Workshop on Neural Nets, WIRN 2012, May 17-19 2012, Vietri sul Mare, Salerno, Italy, Springer (Smart Innovation, Systems and Technologies 19), pp. 21–27

2012

  1. Exploring the processing of formatted texts by a kynesthetic approach

    C. Bellettini, V. Lonati, D. Malchiodi, M. Monga, A. Morpurgo e M. Torelli

    In WiPSCE'12 Proceedings of the 7th Workshop in Primary and Secondary Computing Education, ACM, pp. 143–144

  2. Kangourou dell'Informatica 2012

    A. Lissoni, V. Lonati, D. Malchiodi, M. Monga, A. Morpurgo e M. Torelli

    Edizioni Kangourou Italia, ISBN 9788889249307

2011

  1. Scrivi anche tu un libro con Mathematica!

    D. Malchiodi

    In Mathematica Italia User Group Meeting 2011 - Atti del Convegno, Adalta

2010

  1. Relevance regression learning with support vector machines

    B. Apolloni, D. Malchiodi e L. Valerio

    Nonlinear Analysis 73, pp. 2855–2867

  2. Playing monotone games to understand learning behaviors

    B. Apolloni, S. Bassis, S. Gaito, D. Malchiodi e I. Zoppis

    Theoretical Computer Science 411(25), pp. 2384–2405

  3. Uso di Mathematica per la classificazione di dati di qualità variabile

    D. Malchiodi, M. Re e G. Valentini

    In Mathematica Italia User Group Meeting - Atti del Convegno 2010, Adalta

  4. yaplf: yet another python learning framework

    D. Malchiodi

    python library

2009

  1. Compatible worlds

    B. Apolloni, S. Bassis e D. Malchiodi

    Nonlinear Analysis: Theory, Methods & Applications 71(12), pp. e2883–e2901

  2. An experimental analysis of the impact of accuracy degradation in SVM classification

    D. Malchiodi

    International Journal of Computational Intelligence Studies 1(2), pp. 163–190

  3. Mathematica per l'introduzione dei rudimenti della programmazione nelle scuole superiori

    M. Bulgheroni e D. Malchiodi

    In Atti del Mathematica Italia User Group Meeting, Adalta

  4. svMathematica: implementazione in Mathematica di algoritmi di machine learning basati su vettori di supporto

    D. Malchiodi, S. Bassis e L. Valerio

    In Atti del Mathematica Italia User Group Meeting, Adalta

  5. svMathematica: a Mathematica package for SV classification and regression

    D. Malchiodi, S. Bassis e L. Valerio

    Wolfram Mathematica library

  6. Discovering regression data quality through clustering methods

    D. Malchiodi, S. Bassis e L. Valerio

    In B. Apolloni, M. Marinaro, S. Bassis (a cura di), New Directions in Neural Networks, 18th Italian Workshop on Neural Networks: WIRN 2008, 22-24 May 2008, Vietri sul Mare, IOS Press (FAIA-KBIES vol. 193), pp. 76–85

2008

  1. The Puzzle of Granular Computing

    B. Apolloni, W. Pedrycz, S. Bassis e D. Malchiodi

    Springer, Studies in Computational Intelligence, Vol. 138, ISBN 978-3-540-79863-7

  2. Interpolating Support Information Granules

    B. Apolloni, S. Bassis, D. Malchiodi e W. Pedrycz

    Neurocomputing 71, pp. 2433–2445

  3. Bootstrapping Complex Functions

    B. Apolloni, S. Bassis, S. Gaito e D. Malchiodi

    Nonlinear Analysis: Hybrid Systems 2(2), pp. 648–664

  4. Embedding Sample Points Uncertainty Measures in Learning Algorithms

    D. Malchiodi

    Nonlinear Analysis: Hybrid Systems 2(2), pp. 635–647

  5. The head fake, ovvero insegnando è concesso imbrogliare

    D. Malchiodi

    In Atti del Mathematica Italia User Group Meeting, Adalta

2007

  1. Fare matematica con Mathematica

    D. Malchiodi

    Pearson Addison Wesley, ISBN 978-88-7192-365-9 · in italiano

  2. Solving complex regression problems via Algorithmic Inference: a new family of bootstrap algorithms

    B. Apolloni, S. Bassis, S. Gaito e D. Malchiodi

    Far East Journal of Theoretical Statistics 22(2), pp. 141–180

  3. Modeling individual's aging within a bacterial population using a pi-calculus paradigm

    B. Apolloni, S. Bassis, A. Clivio, S. Gaito e D. Malchiodi

    Natural Computing 6(1), pp. 33–53

  4. Appreciation of medical treatments by learning underlying functions with good confidence

    B. Apolloni, S. Bassis, S. Gaito e D. Malchiodi

    Current Pharmaceutical Design 13(15), pp. 1545–1570

  5. A Modified SVM Classification Algorithm for Data of Variable Quality

    B. Apolloni, D. Malchiodi e L. Natali

    In B. Apolloni, R. Howlett, L. Jain (a cura di), Knowledge-Based Intelligent Information and Engineering Systems 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy, September 12-14, 2007. Proceedings, Part III, Springer-Verlag (Lecture Notes in Artificial Intelligence 4694), pp. 131–139

  6. SVM with Random Labels

    B. Apolloni, S. Bassis e D. Malchiodi

    In B. Apolloni, R. Howlett, L. Jain (a cura di), Knowledge-Based Intelligent Information and Engineering Systems 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy, September 12-14, 2007. Proceedings, Part III, Springer-Verlag (Lecture Notes in Artificial Intelligence 4694), pp. 184–193

2006

  1. Algorithmic Inference in Machine Learning, 2nd Edition

    B. Apolloni, D. Malchiodi e S. Gaito

    Advanced Knowledge International, International Series on Advanced Intelligence, Vol. 5, ISBN 0-9751004-2-4

  2. Learning Rule Representations From Data

    B. Apolloni, A. Brega, D. Malchiodi, G. Palmas e A. M. Zanaboni

    IEEE Transactions on Systems, Man and Cybernetics, Part A 36(5), pp. 1010–1028

  3. Elementary team strategies in a monotone game

    B. Apolloni, S. Bassis, S. Gaito e D. Malchiodi

    Nonlinear Analysis 64(2), pp. 310–328

  4. Controlling the losing probability in a monotone game

    B. Apolloni, S. Bassis, S. Gaito, D. Malchiodi e I. Zoppis

    Information Sciences 176(10), pp. 1395–1416

  5. Embedding sample points relevance in SVM linear classification

    B. Apolloni e D. Malchiodi

    In V. Torra, Y. Narukawa, A. Valls, J. Domingo-Ferrer (a cura di), MDAI 2006 - Proceedings of 3rd International Conference on Modeling Decisions for Artificial Intelligence, Universitat Rovira I Virgili

  6. Interpolating Support Information Granules

    B. Apolloni, S. Bassis, D. Malchiodi e W. Pedrycz

    In S. Kollias, A. Stafylopatis, W. Duch, E. Oja (a cura di), Artificial Neural Networks - ICANN 2006 - 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings, Part II, Springer (Lecture Notes in Computer Science 4132), pp. 270–281

  7. Implementing an XML-RPC client in Mathematica

    D. Malchiodi

    In B. Autin, Y. Papegay (a cura di), eProceedings of the 8th International Mathematica Symposium, INRIA

  8. The Mathematica neosAPI package

    D. Malchiodi

    Wolfram Mathematica library

  9. xmlRpc: remotely executing code within Mathematica

    D. Malchiodi

    Wolfram Mathematica library

  10. A Mathematica bae64 package

    D. Malchiodi

    Wolfram Mathematica library

2005

  1. BICA: a Boolean Independent Component Analysis Algorithm

    B. Apolloni, A. Brega e D. Malchiodi

    In N. Nedjah, L. Mourelle, M. B. R. Vellasco, A. Abraham, M. Köppen (a cura di), Proceedings of HIS 2005: Fifth International Conference on Hybrid Intelligent Systems, IEEE Computer Society, pp. 131–136

  2. Tight Bounds for SVM Classification Error

    B. Apolloni, S. Bassis, S. Gaito e D. Malchiodi

    In M. Zhao, Z. Shi (a cura di), Proceedings - 2005 International Conference on Neural Network & Brain (ICNN&B'05), IEEE Press, pp. 5–8

  3. Granular Regression

    B. Apolloni, D. Iannizzi, D. Malchiodi e W. Pedrycz

    In B. Apolloni, M. Marinaro, G. Nicosia, R. Tagliaferri (a cura di), Neural Nets. 16th Italian Workshop on Neural Nets, WIRN 2005 and International Workshop on Natural and Artificial Immune Systems, NAIS 2005. Vietri sul Mare, Italy, June 2005, Springer (Lecture Notes in Computer Science 3931)

  4. An Evolution Hypothesis of Bacterial Populations

    B. Apolloni, A. Clivio, S. Bassis, S. Gaito e D. Malchiodi

    In B. Apolloni, M. Marinaro, G. Nicosia, R. Tagliaferri (a cura di), Neural Nets. 16th Italian Workshop on Neural Nets, WIRN 2005 and International Workshop on Natural and Artificial Immune Systems, NAIS 2005. Vietri sul Mare, Italy, June 2005, Springer (Lecture Notes in Computer Science 3931), pp. 214–230

  5. Computing confidence intervals for the risk ofa SVM classifier through algorithmic inference

    B. Apolloni, S. Bassis, S. Gaito, D. Malchiodi e A. Minora

    In B. Apolloni, M. Marinaro, R. Tagliaferri (a cura di), Biological and Artificial Intelligence Environments, Springer, pp. 225–234

  6. Learning continuous functions through a new linear regression method

    B. Apolloni, S. Bassis, S. Gaito, D. Iannizzi e D. Malchiodi

    In B. Apolloni, M. Marinaro, R. Tagliaferri (a cura di), Biological and Artificial Intelligence Environments, Springer, pp. 235–243

  7. Appreciation of medical treatments through confidence intervals

    B. Apolloni, S. Bassis, S. Gaito e D. Malchiodi

    In E. Biganzoli, P. Boracchi, P. Duca, E. Ifeachor (a cura di), Proceedings of the 1t European Workshop on the Assessment of Diagnostic Performance, RCE Edizioni, pp. 165–174

  8. A Fuzzy Method for Learning Simple Boolean Formulas from Examples

    B. Apolloni, A. Brega, D. Malchiodi, C. Orovas e A. M. Zanaboni

    In S. Halgamuge, L. Wang (a cura di), Computational Intelligence for Modelling and Prediction, cap. 26, Springer (Studies in Computational Intelligence, Vol. 2), pp. 367–382 · versione estesa di «Fuzzy Methods for Simplifying a Boolean Formula Inferred from Examples» (2002)

2004

  1. A General Framework for Learning Rules From Data

    B. Apolloni, A. Esposito, D. Malchiodi, C. Orovas, G. Palmas e J. G. Taylor

    IEEE Transactions on Neural Networks 15(6), pp. 1333–1349

  2. Detecting Driving Awareness

    B. Apolloni, A. Brega, D. Malchiodi e C. Mesiano

    In J. Boulicaut, F. Esposito, F. Giannotti, D. Pedreschi (a cura di), Knowledge Discovery in Databases - PKDD 2004. 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004. Proceedings, Springer (Lecture Notes in Artificial Intelligence 3202), pp. 528–530 · demonstrating paper

  3. An Attention Monitoring System for High Demanding Operational Tasks

    B. Apolloni, D. Malchiodi e C. Mesiano

    In Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, IEEE Press, pp. 23–29 · invited paper

2003

  1. Learning rule representations from boolean data

    B. Apolloni, A. Brega, D. Malchiodi, G. Palmas e A. M. Zanaboni

    In O. Kaynak, E. Alpaydin, E. Oja, L. Xu (a cura di), Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003, Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings, Springer (Lecture Notes in Computer Science 2714), pp. 875–882

  2. A man-machine human interface for a special device of the pervasive computing world

    B. Apolloni, S. Bassis, A. Brega, S. Gaito, D. Malchiodi e A. M. Zanaboni

    In A. Kameas, N. Streitz (a cura di), Proceedings of DC Tales: Tales of the Disappearing Computer, Santorini Greece, June 1-4, 2003, CTI Press, pp. 263–267

  3. A symbolic description of the awareness state in car driving

    B. Apolloni, A. Brega, D. Malchiodi, N. Valcamonica e A. M. Zanaboni

    In A. Kameas, N. Streitz (a cura di), Proceedings of DC Tales: Tales of the Disappearing Computer, Santorini Greece, June 1-4, 2003, CTI Press, pp. 93–96

  4. Driving Attention to the Dangerous

    S. Kasderidis, J. G. Taylor, N. Tsapatoulis e D. Malchiodi

    In O. Kaynak, E. Alpaydin, E. Oja (a cura di), Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003, Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings, Springer (Lecture Notes in Computer Science 2714), pp. 909–916

  5. Monitoring of car driving awareness from biosignals

    B. Apolloni, S. Bassis, A. Brega, S. Gaito, D. Malchiodi, N. Valcamonica e A. M. Zanaboni

    In B. Apolloni, M. Marinaro, R. Tagliaferri (a cura di), Neural Nets: 14th Italian Workshop on Neural Nets, WIRN VIETRI 2003, Vietri sul Mare, Italy, June 4-7, 2003, Springer (Lecture Notes in Computer Science 2859), pp. 269–277

  6. Cooperative games in a stochastic environment

    B. Apolloni, S. Bassis, S. Gaito e D. Malchiodi

    In B. Apolloni, M. Marinaro, R. Tagliaferri (a cura di), Neural Nets: 14th Italian Workshop on Neural Nets, WIRN VIETRI 2003, Vietri sul Mare, Italy, June 4-7, 2003, Springer (Lecture Notes in Computer Science 2859), pp. 25–34

2002

  1. From synapses to rules

    B. Apolloni, D. Malchiodi, C. Orovas e G. Palmas

    Cognitive Systems Research 3, pp. 167–201

  2. Narrowing confidence interval width of PAC learning risk function by algorithmic inference

    B. Apolloni e D. Malchiodi

    In On-line proceedings of the 7th International Symposium on Artificial Intelligence and Mathematics (Fort Lauderdale, USA, January 2-4 2002)

  3. Fuzzy Methods for Simplifying a Boolean Formula Inferred from Examples

    B. Apolloni, D. Malchiodi, C. Orovas e A. M. Zanaboni

    In L. Wang, S. Halgamuge, X. Yao (a cura di), FSDK'02, Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery: Computational Intelligence for the E-Age, November 18-22, 2002, Orchid Country Club, Singapore, Vol. 2, , pp. 554–558 · versione estesa in «A Fuzzy Method for Learning Simple Boolean Formulas from Examples» (2005)

  4. Cooperative games in a stochastic environment

    B. Apolloni, S. Bassis, D. Malchiodi e S. Gaito

    In E. Damiani, R. Howlett, L. Jain, N. Ichalkaranje (a cura di), Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies - KES 2002 (Proceedings of KES'2002: Sixth Internatinal Conference on Knowledge-Based Intelligent Information & Engineering Systems, Crema, Italy, September 18-19, 2002, vol. 82, IOS Press/Ohmsha (Frontiers in Artificial Intelligence and Applications), pp. 296–300

  5. Twisting features with properties

    B. Apolloni, D. Malchiodi, S. Gaito e A. M. Zanaboni

    In M. Marinaro, R. Tagliaferri (a cura di), Neural Nets WIRN Vietri-01: Proceedings of the 12th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 17-19 May, 2001, Springer (Perspectives in Neural Computing), pp. 301–312

  6. Statistical bases for learning

    B. Apolloni, S. Bassis, S. Gaito e D. Malchiodi

    In B. Apolloni, F. Kurfess (a cura di), From synapses to rules. Discovering symbolic rules from neural processed data, cap. 1, Kluwer Academic/Plenum Publishers, pp. 5–40

  7. Learning regression functions

    B. Apolloni, S. Gaito, D. Iannizzi e D. Malchiodi

    In B. Apolloni, F. Kurfess (a cura di), From synapses to rules. Discovering symbolic rules from neural processed data, cap. 3, Kluwer Academic/Plenum Publishers, pp. 61–73

  8. Cooperative games in a stochastic environment

    B. Apolloni, S. Bassis, S. Gaito e D. Malchiodi

    In B. Apolloni, F. Kurfess (a cura di), From synapses to rules. Discovering symbolic rules from neural processed data, cap. 4, Kluwer Academic/Plenum Publishers, pp. 75–86

  9. Fuzzy methods for simplifying a Boolean formula inferred from examples

    B. Apolloni, D. Malchiodi, C. Orovas e A. M. Zanaboni

    In B. Apolloni, F. Kurfess (a cura di), From synapses to rules. Discovering symbolic rules from neural processed data, cap. 7, Kluwer Academic/Plenum Publishers, pp. 117–128

  10. Learning and checking confidence regions for the hazard function of biomedical data

    B. Apolloni, S. Gaito e D. Malchiodi

    In B. Apolloni, F. Kurfess (a cura di), From synapses to rules. Discovering symbolic rules from neural processed data, cap. 13, Kluwer Academic/Plenum Publishers, pp. 251–260

2001

  1. Gaining degrees of freedom in subsymbolic learning

    B. Apolloni e D. Malchiodi

    Theoretical Computer Science 255, pp. 295–321

  2. Twisting statistics with properties

    B. Apolloni e D. Malchiodi

    In A. Morazevich, V. Levashenko, E. Zaitseva, N. Ichalkaranje (a cura di), Proceedings of ICINASTe 2001: Internatinal Conference on Information, Networks and System Technlogies (Minsk, Belarus, October 2-4, 2001), BSEU, pp. 48–56

2000

  1. From synapses to rules

    B. Apolloni, D. Malchiodi, C. Orovas e G. Palmas

    In Workshop notes of ECAI 2000: European Conference on Artificial Intelligence - Workshop of connectionist-symbolic integration: representation, paradigm and algorithms (Berlin, Germany, 2000)

  2. Algorithmic approach to the statistical inference of non-Boolean function classes

    D. Malchiodi

    Università degli Studi di Milano, PhD thesis in Computational Mathematics and Operations Research

1997

  1. Functional bootstrap: a hardware constrained implementation of on-line bootstrap

    B. Apolloni, D. Malchiodi e J. G. Taylor

    InterStat October

1996

  1. Algoritmi di apprendimento per reti neurali non standard

    D. Malchiodi

    Università degli Studi di Milano, MSc thesis in Computer Science (in Italian)