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Detecting LLM Hallucinations via Anomaly Detection on Latent Representations
In Modeling Decisions for Artificial Intelligence, Springer Nature Switzerland, pp. 122–123
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2026
An Intelligent Web Application for Biomedical Knowledge Graph Curation
In Proceedings of Ital-IA 2026 · In press
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ADAZOR: Hypothesis Testing for Concept Drift Detection in Machine Learning
In L. Iliadis, I. Maglogiannis, M. Antonakakis, C. Jayne (eds.), Engineering Applications of Neural Networks, vol. 3025, Springer Nature Switzerland (Communications in Computer and Information Science), pp. 256–269
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Quantization-Aware Regularizers for Deep Neural Networks Compression
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Compression Techniques for Membership Functions to Fuzzy Sets Learned from Data
In 2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Pisa, Italy, 2026, IEEE, pp. 1–6
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2025
Fine-tuning of conditional Transformers improves in silico enzyme prediction and generalization
Computational and Structural Biotechnology Journal 27, pp. 1318–1334
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Quench detection and localization via interpretable machine learning
In L. Iliadis, I. Maglogiannis, E. Kyriacou, C. Jayne (eds.), Engineering Applications of Neural Networks. EANN 2025., vol. 2582, Springer (Communications in Computer and Information Science), pp. 151–164
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Journal of Cultural Heritage 71, pp. 234–241
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International Journal of Legal Medicine 139, pp. 1255–1267
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2024
Initial achievements in relation extraction from RNA-focused scientific papers
In M. Atzori, P. Ciacca, M. Ceci, F. Mandreoli, D. Malerba, M. Sanguinetti, A. Pellicani, F. Motta (eds.), Proceedings of the 32nd Symposium on Advanced Database Systems, pp. 61–69
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Security Analysis of Cryptographic Algorithms: Hints from Machine Learning
In L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis, C. Jayne (eds.), Engineering Applications of Neural Networks. EANN 2024., vol. 2141, Springer (Communications in Computer and Information Science), pp. 569–580
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Support Vector Based Anomaly Detection in Federated Learning
In L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis, C. Jayne (eds.), Engineering Applications of Neural Networks. EANN 2024., vol. 2141, Springer (Communications in Computer and Information Science), pp. 274–287
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The role of classifiers and data complexity in learned Bloom filters: insights and recommendations
Journal of Big Data 11(45)
SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning
In Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, vldb.org, pp. 1–11
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Resource-Limited Automated Ki67 Index Estimation in Breast Cancer
In Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications (ICBRA '23), ACM, pp. 165–172
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2023
The promises of large language models for protein design and modeling
Frontiers in Bioinformatics 3, pp. 1304099.1—1304099.11
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Efficient and Compact Representations of Deep Neural Networks via Entropy Coding
IEEE Access 11, pp. 106103—106125
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A Critical Analysis of Classifier Selection in Learned Bloom Filters: the Essentials
In L. Iliadis, I. Maglogiannis, S. A. Castro, C. Jayne, E. Pimenidis (eds.), 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
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2022
Informatics in Education 4, pp. 635–653
Classification of Pottery Fragments Described by Concentration of Chemical Elements
In P. L. Mazzeo, E. Frontoni, S. Sclaroff, C. Distante (eds.), Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022., vol. 13373, Springer (Lecture Notes in Computer Science), pp. 141–151
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In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods — ICPRAM, SciTePress, pp. 675–682
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Reports in Medical Imaging 14, pp. 27–39
Reproducing the sparse Huffman Address Map compression for deep neural networks
In B. Kerautret, M. Colom, A. Krähenbühl, Adrien, D. Lopresti, P. Monasse, H. Talbot (eds.), Reproducible Research in Pattern Recognition, Springer International Publishing (Lecture Notes in Computer Science 12636), pp. 161–166
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Compression strategies and space-conscious representations for deep neural networks
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IEEE Access 8, pp. 196299–196325
Algomotricità: manipolare i fondamenti dell'Informatica
In E. Nardelli (eds.), Coding e oltre: l'informatica nella scuola, Liscianilibri
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Classifying Candidate Axioms via Dimensionality Reduction Techniques
In V. Torra, Y. Narukawa, J. Nin, N. Agell (eds.), Modeling Decisions for Artificial Intelligence. 17th International Conference, MDAI 2020 Sant Cugat, Spain, September 2–4, 2020 Proceedings, ch. 15, Springer (Lecture Notes in Computer Sciencce 12256), pp. 179–191
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Simultaneous Learning of Fuzzy Sets
In A. Esposito, M. Faundez-Zanuy, M. Morabito, E. Pasero (eds.), Neural Approaches to Dynamics of Signal Exchanges, vol. 151, Springer (Smart Innovation, Systems and Technologies), pp. 167–175
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2019
Constructionist Attempts at Supporting the Learning of Computer Programming: A Survey
Olympiads in Informatics 13, pp. 99–121
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Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness
In R. Fullér, S. Giove, F. Masulli (eds.), 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
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In R. Fullér, S. Giove, F. Masulli (eds.), 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
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Disease-Genes Must Guide Data Source Integration in the Gene Prioritization Process
In M. Bartoletti, A. Barla, A. Bracciali, G. W. Klau, L. Peterson, A. Policriti, R. Tagliaferri (eds.), Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2017, Springer (Lecture Notes in Computer Science 10834 / Lecture Notes in Bioinformatics 10834), pp. 60—69
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2018
Predicting the Possibilistic Score of OWL Axioms through Support Vector Regression
In D. Ciucci, G. Pasi, B. Vantaggi (eds.), Scalable Uncertainty Management. SUM 2018, Springer (Lecture Notes in Artificial Intelligence 11142)
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Learning to Program in a Constructionist Way
In V. Dagienė, E. Jasutė (eds.), Constructionism 2018: Computational Thinking and Educational Innovation: conference proceedings, Vilnius University, pp. 906–929
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Informatica e pensiero computazionale: una proposta costruttivista per gli insegnanti
In G. Adorni, M. Cicognani, F. Koceva, G. Mastronardi (eds.), Didamatica 2018: Didattica Informatica, AICA, pp. 201–210
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A Platform for the Italian Bebras
In Proceedings of 10th International Conference on Computer Supported Education, SCITEPRESS, pp. 350–357
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Evaluating the impact of topological protein features on the negative examples selection
BMC Bioinformatics 19(14), pp. 417.115–417.126
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Predicting the Possibilistic Score of OWL Axioms through Modified Support Vector Clustering
In H. Haddad, R. L. Wainwright, R. Chbeir (eds.), SAC'18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing, ACM, pp. 1984–1991
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2017
How presentation affects the difficulty of computational thinking tasks: an IRT analysis
In Proceedings of 17th Koli Calling International Conference on Computing Education Research, ACM, pp. 60–69
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Promoting Computational Thinking Skills: Would You Use this Bebras Task?
In V. Dagienė, H. Hellas (eds.), Informatics in Schools: Focus on Learning Programming, Springer (Lecture Notes in Computer Science), pp. 102–113
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A Multimodal LEGO®-based Learning Activity Mixing Musical Notation and Computer Programming
In MIE 2017 Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education, ACM, pp. 44–48
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Fostering Computational Thinking in Primary School through a LEGO®-based Music Notation
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
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Learning Greedy Strategies at Secondary Schools: An Active Approach
In A. Sforza, C. Sterle (eds.), Optimization and Decision Science: Methodologies and Applications, ch. 23, Springer (Proceedings in Mathematics & Statistics), pp. 223–231
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Bebras as a teaching resource
In ITiCSE '17 Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, ACM, pp. 366–366
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Nothing to fear but fear itself: introducing recursion in lower secondary schools
In International Conference on Learning and Teaching in Computing and Engineering (LATICE), 2017, IEEE, pp. 91–98
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Exploiting Negative Sample Selection for Prioritizing Candidate Disease Genes
Genomics and Computational Biology 3(3), pp. e47
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Analysis of Informative Features for Negative Selection in Protein Function Prediction
In I. Rojas, F. Ortuño (eds.), Bioinformatics and Biomedical Engineering 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26–28, 2017, Proceedings, Part II, vol. 10209
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In P. Escudeiro, G. Costagliola, S. Zvacek, J. Uhomoibhi, B. M. McLaren (eds.), Proceedings of the 9th International Conference on Computer Supported Education, SCITEPRESS, pp. 117–124
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Turing: la nascita dell'intelligenza artificiale
Corriere della Sera, Grandangolo Scienza
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2016
A playful tool to introduce lower secondary school pupils to recursive thinking
In Proceedings of 9th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2016, pp. 51–52
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Selection of Negative Examples for Node Label Prediction through Fuzzy Clustering Techniques
In S. Bassis, A. Esposito, F. C. Morabito, E. Pasero (eds.), Advances in Neural Networks: Computational Intelligence for ICT, Springer International Publishing, pp. 67–76
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2015
La formazione degli insegnanti della classe 42/A – Informatica: l'esperienza dell'Università degli Studi di Milano
In A. Labella (eds.), E questo tutti chiamano Informatica, ch. 4, Sapienza Università Editrice, pp. 53–76
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VII Kangourou dell'informatica 2014-2015
Edizioni Kangourou Italia, ISBN 978-88-89249-41-3
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How Challenging are Bebras Tasks? An IRT analysis based on the performance of Italian students
In ITiCSE '15 Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, ACM, pp. 27–32
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Is coding the way to go?
In A. Brodnik, J. Vahrenhold (eds.), Informatics in Schools. Curricula, Competences, and Competitions, Springer International Publishing, pp. 165–174
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Experience of an International Collaborative Project with First Year Programming Students
In Proceedings of the IEEE 39th Annual Computer Software and Applications Conference (COMPSAC'15), pp. 829–834
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2014
VI Kangourou dell'Informatica 2013--2014
Edizioni Kangourou Italia, ISBN 9788889249376
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Informatics Education in Italian Secondary School
ACM Transactions on Computing Education (TOCE) – Special Issue on Computing Education in (K-12) Schools 14(2), pp. 15.1–15.6
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Extracurricular Activities for Improving the Perception of Informatics in Secondary Schools
In Y. Gülbahar, E. Karataş (eds.), 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
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Teaching Informatics for Fun and Profit
In A. Raschi, A. Di Fabio, L. Sebastiani (eds.), Proceedings of the International Workshop on Science Education and Guidance in Schools: The Way Forward, Edizioni ETS, pp. 125–128
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Avoiding the Cluster Hypothesis in SV Classification of Partially Labeled Data
In S. Bassis, A. Esposito, F. C. Morabito (eds.), 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
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2013
Learning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering
In F. Masulli, G. Pasi, R. Yager (eds.), 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
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V Kangourou dell'Informatica 2012--2013. Testi, soluzioni e commenti
Edizioni Kangourou Italia, ISBN 978-88-89249-34-5
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What you see is what you have in mind: constructing mental models for formatted text processing
In I. Diethelm, J. Arndt, M. Dünnebier, J. (eds.), Informatics in Schools: Local Proceedings of the 6th International Conference ISSEP 2013 - Selected Papers, vol. 6, Universitätsverlag Potsdam (Commentarii informaticae didacticae), pp. 139–147
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MUT: un framework di test automatico per Wolfram Mathematica
In Mathematica Italia User Group Meeting 2013 - Atti del Convegno, Adalta
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In B. Apolloni, S. Bassis, A. Esposito, F. C. Morabito (eds.), 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
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2012
Exploring the processing of formatted texts by a kynesthetic approach
In WiPSCE'12 Proceedings of the 7th Workshop in Primary and Secondary Computing Education, ACM, pp. 143–144
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Kangourou dell'Informatica 2012
Edizioni Kangourou Italia, ISBN 9788889249307
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2011
Scrivi anche tu un libro con Mathematica!
In Mathematica Italia User Group Meeting 2011 - Atti del Convegno, Adalta
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2010
Relevance regression learning with support vector machines
Nonlinear Analysis 73, pp. 2855–2867
Playing monotone games to understand learning behaviors
Theoretical Computer Science 411(25), pp. 2384–2405
Uso di Mathematica per la classificazione di dati di qualità variabile
In Mathematica Italia User Group Meeting - Atti del Convegno 2010, Adalta
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yaplf: yet another python learning framework
python library
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2009
An experimental analysis of the impact of accuracy degradation in SVM classification
International Journal of Computational Intelligence Studies 1(2), pp. 163–190
Mathematica per l'introduzione dei rudimenti della programmazione nelle scuole superiori
In Atti del Mathematica Italia User Group Meeting, Adalta
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svMathematica: implementazione in Mathematica di algoritmi di machine learning basati su vettori di supporto
In Atti del Mathematica Italia User Group Meeting, Adalta
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svMathematica: a Mathematica package for SV classification and regression
Wolfram Mathematica library
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Discovering regression data quality through clustering methods
In B. Apolloni, M. Marinaro, S. Bassis (eds.), 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
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2008
Interpolating Support Information Granules
Neurocomputing 71, pp. 2433–2445
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Bootstrapping Complex Functions
Nonlinear Analysis: Hybrid Systems 2(2), pp. 648–664
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The head fake, ovvero insegnando è concesso imbrogliare
In Atti del Mathematica Italia User Group Meeting, Adalta
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2007
Fare matematica con Mathematica
Pearson Addison Wesley, ISBN 978-88-7192-365-9 · in italian
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Solving complex regression problems via Algorithmic Inference: a new family of bootstrap algorithms
Far East Journal of Theoretical Statistics 22(2), pp. 141–180
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Appreciation of medical treatments by learning underlying functions with good confidence
Current Pharmaceutical Design 13(15), pp. 1545–1570
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A Modified SVM Classification Algorithm for Data of Variable Quality
In B. Apolloni, R. Howlett, L. Jain (eds.), 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
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In B. Apolloni, R. Howlett, L. Jain (eds.), 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
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2006
Algorithmic Inference in Machine Learning, 2nd Edition
Advanced Knowledge International, International Series on Advanced Intelligence, Vol. 5, ISBN 0-9751004-2-4
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Learning Rule Representations From Data
IEEE Transactions on Systems, Man and Cybernetics, Part A 36(5), pp. 1010–1028
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Elementary team strategies in a monotone game
Nonlinear Analysis 64(2), pp. 310–328
Controlling the losing probability in a monotone game
Information Sciences 176(10), pp. 1395–1416
Embedding sample points relevance in SVM linear classification
In V. Torra, Y. Narukawa, A. Valls, J. Domingo-Ferrer (eds.), MDAI 2006 - Proceedings of 3rd International Conference on Modeling Decisions for Artificial Intelligence, Universitat Rovira I Virgili
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Interpolating Support Information Granules
In S. Kollias, A. Stafylopatis, W. Duch, E. Oja (eds.), 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
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Implementing an XML-RPC client in Mathematica
In B. Autin, Y. Papegay (eds.), eProceedings of the 8th International Mathematica Symposium, INRIA
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The Mathematica neosAPI package
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xmlRpc: remotely executing code within Mathematica
Wolfram Mathematica library
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2005
BICA: a Boolean Independent Component Analysis Algorithm
In N. Nedjah, L. Mourelle, M. B. R. Vellasco, A. Abraham, M. Köppen (eds.), Proceedings of HIS 2005: Fifth International Conference on Hybrid Intelligent Systems, IEEE Computer Society, pp. 131–136
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Tight Bounds for SVM Classification Error
In M. Zhao, Z. Shi (eds.), Proceedings - 2005 International Conference on Neural Network & Brain (ICNN&B'05), IEEE Press, pp. 5–8
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In B. Apolloni, M. Marinaro, G. Nicosia, R. Tagliaferri (eds.), 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)
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An Evolution Hypothesis of Bacterial Populations
In B. Apolloni, M. Marinaro, G. Nicosia, R. Tagliaferri (eds.), 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
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Computing confidence intervals for the risk ofa SVM classifier through algorithmic inference
In B. Apolloni, M. Marinaro, R. Tagliaferri (eds.), Biological and Artificial Intelligence Environments, Springer, pp. 225–234
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Learning continuous functions through a new linear regression method
In B. Apolloni, M. Marinaro, R. Tagliaferri (eds.), Biological and Artificial Intelligence Environments, Springer, pp. 235–243
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Appreciation of medical treatments through confidence intervals
In E. Biganzoli, P. Boracchi, P. Duca, E. Ifeachor (eds.), Proceedings of the 1t European Workshop on the Assessment of Diagnostic Performance, RCE Edizioni, pp. 165–174
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A Fuzzy Method for Learning Simple Boolean Formulas from Examples
In S. Halgamuge, L. Wang (eds.), Computational Intelligence for Modelling and Prediction, ch. 26, Springer (Studies in Computational Intelligence, Vol. 2), pp. 367–382 · extended version of «Fuzzy Methods for Simplifying a Boolean Formula Inferred from Examples» (2002)
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2004
A General Framework for Learning Rules From Data
IEEE Transactions on Neural Networks 15(6), pp. 1333–1349
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In J. Boulicaut, F. Esposito, F. Giannotti, D. Pedreschi (eds.), 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
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An Attention Monitoring System for High Demanding Operational Tasks
In Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, IEEE Press, pp. 23–29 · invited paper
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2003
Learning rule representations from boolean data
In O. Kaynak, E. Alpaydin, E. Oja, L. Xu (eds.), 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
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A man-machine human interface for a special device of the pervasive computing world
In A. Kameas, N. Streitz (eds.), Proceedings of DC Tales: Tales of the Disappearing Computer, Santorini Greece, June 1-4, 2003, CTI Press, pp. 263–267
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A symbolic description of the awareness state in car driving
In A. Kameas, N. Streitz (eds.), Proceedings of DC Tales: Tales of the Disappearing Computer, Santorini Greece, June 1-4, 2003, CTI Press, pp. 93–96
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Driving Attention to the Dangerous
In O. Kaynak, E. Alpaydin, E. Oja (eds.), 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
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Monitoring of car driving awareness from biosignals
In B. Apolloni, M. Marinaro, R. Tagliaferri (eds.), 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
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Cooperative games in a stochastic environment
In B. Apolloni, M. Marinaro, R. Tagliaferri (eds.), 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
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2002
Cognitive Systems Research 3, pp. 167–201
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Narrowing confidence interval width of PAC learning risk function by algorithmic inference
In On-line proceedings of the 7th International Symposium on Artificial Intelligence and Mathematics (Fort Lauderdale, USA, January 2-4 2002)
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Fuzzy Methods for Simplifying a Boolean Formula Inferred from Examples
In L. Wang, S. Halgamuge, X. Yao (eds.), 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 · extended version in «A Fuzzy Method for Learning Simple Boolean Formulas from Examples» (2005)
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Cooperative games in a stochastic environment
In E. Damiani, R. Howlett, L. Jain, N. Ichalkaranje (eds.), 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
International proceedingsStudy of population dynamicsBibTeX
Twisting features with properties
In M. Marinaro, R. Tagliaferri (eds.), 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
International proceedingsDevelopment of inference models for machine learning problemsBibTeX
Statistical bases for learning
In B. Apolloni, F. Kurfess (eds.), From synapses to rules. Discovering symbolic rules from neural processed data, ch. 1, Kluwer Academic/Plenum Publishers, pp. 5–40
ChapterDevelopment of inference models for machine learning problemsBibTeX
Learning regression functions
In B. Apolloni, F. Kurfess (eds.), From synapses to rules. Discovering symbolic rules from neural processed data, ch. 3, Kluwer Academic/Plenum Publishers, pp. 61–73
ChapterDevelopment of inference models for machine learning problemsBibTeX
Cooperative games in a stochastic environment
In B. Apolloni, F. Kurfess (eds.), From synapses to rules. Discovering symbolic rules from neural processed data, ch. 4, Kluwer Academic/Plenum Publishers, pp. 75–86
ChapterStudy of population dynamicsBibTeX
Fuzzy methods for simplifying a Boolean formula inferred from examples
In B. Apolloni, F. Kurfess (eds.), From synapses to rules. Discovering symbolic rules from neural processed data, ch. 7, Kluwer Academic/Plenum Publishers, pp. 117–128
ChapterAutomatic simplification of symbolic descriptionsBibTeX
Learning and checking confidence regions for the hazard function of biomedical data
In B. Apolloni, F. Kurfess (eds.), From synapses to rules. Discovering symbolic rules from neural processed data, ch. 13, Kluwer Academic/Plenum Publishers, pp. 251–260
ChapterDevelopment of inference models for machine learning problemsBibTeX
2001
Gaining degrees of freedom in subsymbolic learning
Theoretical Computer Science 255, pp. 295–321
ArticleDevelopment of inference models for machine learning problemsDOIBibTeX
Twisting statistics with properties
In A. Morazevich, V. Levashenko, E. Zaitseva, N. Ichalkaranje (eds.), Proceedings of ICINASTe 2001: Internatinal Conference on Information, Networks and System Technlogies (Minsk, Belarus, October 2-4, 2001), BSEU, pp. 48–56
International proceedingsDevelopment of inference models for machine learning problemsBibTeX
2000
From synapses to rules
In Workshop notes of ECAI 2000: European Conference on Artificial Intelligence - Workshop of connectionist-symbolic integration: representation, paradigm and algorithms (Berlin, Germany, 2000)
International proceedingsDesign of hybrid learning systemsBibTeX
Algorithmic approach to the statistical inference of non-Boolean function classes
Università degli Studi di Milano, PhD thesis in Computational Mathematics and Operations Research
ThesisDevelopment of inference models for machine learning problemsAutomatic classification of emotionsBibTeX
1997
Functional bootstrap: a hardware constrained implementation of on-line bootstrap
InterStat October
ArticleDesign of hardware-implementable statisticson-line accessBibTeX
1996
Algoritmi di apprendimento per reti neurali non standard
Università degli Studi di Milano, MSc thesis in Computer Science (in Italian)
ThesisDesign of hardware-implementable statisticsBibTeX
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