Dario Malchiodi
Dipartimento di Informatica –
Università degli Studi di Milano
Room P102 –
Via Comelico 39/41 – 20135 Milano ITALY
Mail:
Web: http://malchiodi.di.unimi.it
phone: +39 02 503 16338 fax: +39 02 503 16276
Social networks:
Academia.edu, ResearchGate, coderwall, Codecademy, Facebook, Twitter, Google +, LinkedIn, Naymz, Personal blog, I use this, Klout, Kaggle, Koding
Machine learning – Data quality in learning – Probability and mathematical statistics
Since 2011 I am associate professor at the Computer Science Department of the Milan University.
My research activities focus around the treatment of uncertainty in machine learning problems, with the aim of strenghtening the aspects belonging to the fields of computer science and statistics.
I authored more than seventy papers on journals and national and international conference proceedings, among which the most relevant are liste hereinafter.
[Monga et al., 2017] | Turing: la nascita dell'intelligenza artificiale, Corriere della Sera, Grandangolo Scienza, 2017 [ ] |
[Malchiodi, 2015] | Sistemi operativi – esercizi risolti e commentati, (ISBN 978-88-91091-41-3), 2015 [book page ] |
[Apolloni et al., 2013] | Learning by Gossip: A Principled Information Exchange Model in Social Networks, Cognitive Computation 5 - 3 (2013), 327-339 [doi> ] |
[Malchiodi, 2013b] | An interpretation of the boundary movement method for imbalanced dataset classification based on data quality, in B. Apolloni, S. Bassis, A. Esposito and 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 (ISBN 978-3-642-35466-3), 21-27, 2013 [doi> ] |
[Apolloni et al., 2010] | Relevance regression learning with support vector machines, Nonlinear Analysis 73 (2010), 2855-2867 [doi> ] |
[Apolloni et al., 2010a] | Playing monotone games to understand learning behaviors, Theoretical Computer Science 411 - 25 (2010), 2384-2405 [doi> ] |
[Malchiodi et al., 2009b] | svMathematica: a Mathematica package for SV classification and regression, Wolfram Mathematica library, 2009 [Home GitHub ] |
[Apolloni et al., 2008] | The Puzzle of Granular Computing, Berlin: Springer, Studies in Computational Intelligence, Vol. 138 (ISBN 978-3-540-79863-7), 2008 [publisher ] |
[Apolloni et al., 2008a] | Interpolating Support Information Granules, Neurocomputing 71 (2008), 2433-2445 [doi> ] |
[Malchiodi, 2008] | Embedding Sample Points Uncertainty Measures in Learning Algorithms, Nonlinear Analysis: Hybrid Systems 2 - 2 (2008), 635-647 [doi> ] |
[Malchiodi et al., 2009c] | Discovering regression data quality through clustering methods, in B. Apolloni, M. Marinaro and 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 (ISBN 0922-6389), 76-85, 2009 [ ] |
[Malchiodi, 2007] | Fare matematica con Mathematica, Milano: Pearson Addison Wesley (ISBN 978-88-7192-365-9), 2007, in italian [book-page publisher ] |
[Apolloni et al., 2007b] | Appreciation of medical treatments by learning underlying functions with good confidence, Current Pharmaceutical Design 13 - 15 (2007), 1545-1570 [ ] |
[Apolloni et al., 2007c] | A Modified SVM Classification Algorithm for Data of Variable Quality, in B. Apolloni, R. Howlett and 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, Berlin Heidelberg: Springer-Verlag, Lecture Notes in Artificial Intelligence 4694 (ISBN 978-3-540-74828-1), 131-139, 2007 [doi> on-line access ] |
[Apolloni et al., 2006] | Algorithmic Inference in Machine Learning, 2nd Edition, Magill, Adelaide: Advanced Knowledge International, International Series on Advanced Intelligence, Vol. 5 (ISBN 0-9751004-2-4), 2006 [publisher ] |
[Apolloni et al., 2006a] | Learning Rule Representations From Data, IEEE Transactions on Systems, Man and Cybernetics, Part A 36 - 5 (2006), 1010-1028 [doi> ] |
[Apolloni and Malchiodi, 2006a] | Embedding sample points relevance in SVM linear classification, in V. Torra, Y. Narukawa, A. Valls and J. Domingo-Ferrer (Eds.), MDAI 2006 - Proceedings of 3rd International Conference on Modeling Decisions for Artificial Intelligence, Tarragona: Universitat Rovira I Virgili (ISBN 8400-08416-0), 2006 [ ] |
[Apolloni et al., 2004] | A General Framework for Learning Rules From Data, IEEE Transactions on Neural Networks 15 - 6 (2004), 1333-1349 [doi> ] |
[Kasderidis et al., 2003] | Driving Attention to the Dangerous, in O. Kaynak, E. Alpaydin and 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, 909-916, 2003 [on-line access ] |
[Apolloni and Malchiodi, 2001] | Gaining degrees of freedom in subsymbolic learning, Theoretical Computer Science 255 (2001), 295-321 [doi> ] |