Dipartimento di InformaticaUniversità degli Studi di Milano

Publications

143 publications, 1996–2027

Tout télécharger en BibTeX

2027

  1. Detecting LLM Hallucinations via Anomaly Detection on Latent Representations

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

    Dans 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 et P. Perlasca

    Dans Proceedings of Ital-IA 2026 · En presse

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

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

    Dans L. Iliadis, I. Maglogiannis, M. Antonakakis, C. Jayne (éds.), 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 et M. Frasca

    Dans IJCNN 2026 Proceedings. · En presse

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

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

    Dans 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 et D. Malchiodi

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

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 et 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 et L. Rossi

    Dans L. Iliadis, I. Maglogiannis, E. Kyriacou, C. Jayne (éds.), 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 et 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 et 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 et M. Mesiti

    Dans M. Atzori, P. Ciacca, M. Ceci, F. Mandreoli, D. Malerba, M. Sanguinetti, A. Pellicani, F. Motta (éds.), 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 et D. Malchiodi

    Dans L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis, C. Jayne (éds.), 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 et D. Malchiodi

    Dans L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis, C. Jayne (éds.), 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 et 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 et M. Mesiti

    Dans 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 et G. Valentini

    Dans 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 et D. Malchiodi

    Dans 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 et 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 et 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 et 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 et M. Frasca

    Dans L. Iliadis, I. Maglogiannis, S. A. Castro, C. Jayne, E. Pimenidis (éds.), 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 et 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 et G. Ruschioni

    Dans P. L. Mazzeo, E. Frontoni, S. Sclaroff, C. Distante (éds.), 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 et M. Frasca

    Dans 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 et 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 et 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 et 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 et 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 et D. Malchiodi

    Dans B. Kerautret, M. Colom, A. Krähenbühl, Adrien, D. Lopresti, P. Monasse, H. Talbot (éds.), 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 et D. Malchiodi

    Dans 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 et G. Valentini

    IEEE Access 8, pp. 196299–196325

  2. Algomotricità: manipolare i fondamenti dell'Informatica

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

    Dans E. Nardelli (éds.), Coding e oltre: l'informatica nella scuola, Liscianilibri

  3. Classifying Candidate Axioms via Dimensionality Reduction Techniques

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

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

  4. Simultaneous Learning of Fuzzy Sets

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

    Dans A. Esposito, M. Faundez-Zanuy, M. Morabito, E. Pasero (éds.), 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 et B. Spieler

    Olympiads in Informatics 13, pp. 99–121

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

    D. Malchiodi et A. M. Zanaboni

    Dans R. Fullér, S. Giove, F. Masulli (éds.), 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

    Dans R. Fullér, S. Giove, F. Masulli (éds.), 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 et M. Andrade-Navarro

    Dans M. Bartoletti, A. Barla, A. Bracciali, G. W. Klau, L. Peterson, A. Policriti, R. Tagliaferri (éds.), 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 et A. Morpurgo

    Dans 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 et A. G. Tettamanzi

    Dans D. Ciucci, G. Pasi, B. Vantaggi (éds.), 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 et B. Spieler

    Dans V. Dagienė, E. Jasutė (éds.), 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 et A. Morpurgo

    Dans G. Adorni, M. Cicognani, F. Koceva, G. Mastronardi (éds.), 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 et C. Bellettini

    Dans 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 et 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 et A. G. Tettamanzi

    Dans H. Haddad, R. L. Wainwright, R. Chbeir (éds.), 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 et A. Morpurgo

    Dans 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 et A. Morpurgo

    Dans V. Dagienė, H. Hellas (éds.), 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 et 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 et A. Morpurgo

    Dans A. Sforza, C. Sterle (éds.), Optimization and Decision Science: Methodologies and Applications, chap. 23, Springer (Proceedings in Mathematics & Statistics), pp. 223–231

  5. Bebras as a teaching resource

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

    Dans 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 et A. Morpurgo

    Dans 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 et 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 et D. Malchiodi

    Dans I. Rojas, F. Ortuño (éds.), 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 et D. Malchiodi

    Dans P. Escudeiro, G. Costagliola, S. Zvacek, J. Uhomoibhi, B. M. McLaren (éds.), 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 et 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 et M. Previtali

    Dans 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 et D. Malchiodi

    Dans S. Bassis, A. Esposito, F. C. Morabito, E. Pasero (éds.), 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 et F. Pedersini

    Dans A. Labella (éds.), E questo tutti chiamano Informatica, chap. 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 et 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 et M. Torelli

    Dans 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 et A. Morpurgo

    Dans A. Brodnik, J. Vahrenhold (éds.), 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 et C. Silva

    Dans 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

    Self-published (ilmiolibro.it), 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 et 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 et 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 et L. Zecca

    Dans Y. Gülbahar, E. Karataş (éds.), 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 et M. Torelli

    Dans A. Raschi, A. Di Fabio, L. Sebastiani (éds.), 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 et T. Legnani

    Dans S. Bassis, A. Esposito, F. C. Morabito (éds.), 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 et W. Pedrycz

    Dans F. Masulli, G. Pasi, R. Yager (éds.), 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 et 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 et 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 et M. Torelli

    Dans I. Diethelm, J. Arndt, M. Dünnebier, J. (éds.), 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

    Dans 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

    Dans B. Apolloni, S. Bassis, A. Esposito, F. C. Morabito (éds.), 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 et M. Torelli

    Dans 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 et M. Torelli

    Edizioni Kangourou Italia, ISBN 9788889249307

2011

  1. Scrivi anche tu un libro con Mathematica!

    D. Malchiodi

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

2010

  1. Relevance regression learning with support vector machines

    B. Apolloni, D. Malchiodi et L. Valerio

    Nonlinear Analysis 73, pp. 2855–2867

  2. Playing monotone games to understand learning behaviors

    B. Apolloni, S. Bassis, S. Gaito, D. Malchiodi et 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 et G. Valentini

    Dans 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 et 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 et D. Malchiodi

    Dans 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 et L. Valerio

    Dans Atti del Mathematica Italia User Group Meeting, Adalta

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

    D. Malchiodi, S. Bassis et L. Valerio

    Wolfram Mathematica library

  6. Discovering regression data quality through clustering methods

    D. Malchiodi, S. Bassis et L. Valerio

    Dans B. Apolloni, M. Marinaro, S. Bassis (éds.), 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 et 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 et W. Pedrycz

    Neurocomputing 71, pp. 2433–2445

  3. Bootstrapping Complex Functions

    B. Apolloni, S. Bassis, S. Gaito et 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

    Dans 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 · en italien

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

    B. Apolloni, S. Bassis, S. Gaito et 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 et 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 et 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 et L. Natali

    Dans B. Apolloni, R. Howlett, L. Jain (éds.), 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 et D. Malchiodi

    Dans B. Apolloni, R. Howlett, L. Jain (éds.), 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 et 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 et 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 et 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 et I. Zoppis

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

  5. Embedding sample points relevance in SVM linear classification

    B. Apolloni et D. Malchiodi

    Dans V. Torra, Y. Narukawa, A. Valls, J. Domingo-Ferrer (éds.), 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 et W. Pedrycz

    Dans S. Kollias, A. Stafylopatis, W. Duch, E. Oja (éds.), 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

    Dans B. Autin, Y. Papegay (éds.), 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 et D. Malchiodi

    Dans N. Nedjah, L. Mourelle, M. B. R. Vellasco, A. Abraham, M. Köppen (éds.), 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 et D. Malchiodi

    Dans M. Zhao, Z. Shi (éds.), 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 et W. Pedrycz

    Dans B. Apolloni, M. Marinaro, G. Nicosia, R. Tagliaferri (éds.), 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 et D. Malchiodi

    Dans B. Apolloni, M. Marinaro, G. Nicosia, R. Tagliaferri (éds.), 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 et A. Minora

    Dans B. Apolloni, M. Marinaro, R. Tagliaferri (éds.), 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 et D. Malchiodi

    Dans B. Apolloni, M. Marinaro, R. Tagliaferri (éds.), Biological and Artificial Intelligence Environments, Springer, pp. 235–243

  7. Appreciation of medical treatments through confidence intervals

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

    Dans E. Biganzoli, P. Boracchi, P. Duca, E. Ifeachor (éds.), 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 et A. M. Zanaboni

    Dans S. Halgamuge, L. Wang (éds.), Computational Intelligence for Modelling and Prediction, chap. 26, Springer (Studies in Computational Intelligence, Vol. 2), pp. 367–382 · version étendue de « 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 et J. G. Taylor

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

  2. Detecting Driving Awareness

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

    Dans J. Boulicaut, F. Esposito, F. Giannotti, D. Pedreschi (éds.), 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 et C. Mesiano

    Dans 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 et A. M. Zanaboni

    Dans O. Kaynak, E. Alpaydin, E. Oja, L. Xu (éds.), 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 et A. M. Zanaboni

    Dans A. Kameas, N. Streitz (éds.), 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 et A. M. Zanaboni

    Dans A. Kameas, N. Streitz (éds.), 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 et D. Malchiodi

    Dans O. Kaynak, E. Alpaydin, E. Oja (éds.), 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 et A. M. Zanaboni

    Dans B. Apolloni, M. Marinaro, R. Tagliaferri (éds.), 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 et D. Malchiodi

    Dans B. Apolloni, M. Marinaro, R. Tagliaferri (éds.), 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 et G. Palmas

    Cognitive Systems Research 3, pp. 167–201

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

    B. Apolloni et D. Malchiodi

    Dans 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 et A. M. Zanaboni

    Dans L. Wang, S. Halgamuge, X. Yao (éds.), 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 · version étendue en « A Fuzzy Method for Learning Simple Boolean Formulas from Examples » (2005)

  4. Cooperative games in a stochastic environment

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

    Dans E. Damiani, R. Howlett, L. Jain, N. Ichalkaranje (éds.), 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 et A. M. Zanaboni

    Dans M. Marinaro, R. Tagliaferri (éds.), 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 et D. Malchiodi

    Dans B. Apolloni, F. Kurfess (éds.), From synapses to rules. Discovering symbolic rules from neural processed data, chap. 1, Kluwer Academic/Plenum Publishers, pp. 5–40

  7. Learning regression functions

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

    Dans B. Apolloni, F. Kurfess (éds.), From synapses to rules. Discovering symbolic rules from neural processed data, chap. 3, Kluwer Academic/Plenum Publishers, pp. 61–73

  8. Cooperative games in a stochastic environment

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

    Dans B. Apolloni, F. Kurfess (éds.), From synapses to rules. Discovering symbolic rules from neural processed data, chap. 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 et A. M. Zanaboni

    Dans B. Apolloni, F. Kurfess (éds.), From synapses to rules. Discovering symbolic rules from neural processed data, chap. 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 et D. Malchiodi

    Dans B. Apolloni, F. Kurfess (éds.), From synapses to rules. Discovering symbolic rules from neural processed data, chap. 13, Kluwer Academic/Plenum Publishers, pp. 251–260

2001

  1. Gaining degrees of freedom in subsymbolic learning

    B. Apolloni et D. Malchiodi

    Theoretical Computer Science 255, pp. 295–321

  2. Twisting statistics with properties

    B. Apolloni et D. Malchiodi

    Dans A. Morazevich, V. Levashenko, E. Zaitseva, N. Ichalkaranje (éds.), 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 et G. Palmas

    Dans 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 et 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)