Fabio Aiolli
Fabio Aiolli
Verified email at math.unipd.it - Homepage
TitleCited byYear
Multiclass classification with multi-prototype support vector machines
F Aiolli, A Sperduti
Journal of Machine Learning Research 6 (May), 817-850, 2005
802005
Efficient top-n recommendation for very large scale binary rated datasets
F Aiolli
Proceedings of the 7th ACM conference on Recommender systems, 273-280, 2013
752013
EasyMKL: a scalable multiple kernel learning algorithm
F Aiolli, M Donini
Neurocomputing 169, 215-224, 2015
722015
A kernel method for the optimization of the margin distribution
F Aiolli, G Da San Martino, A Sperduti
International Conference on Artificial Neural Networks, 305-314, 2008
372008
Learning preferences for multiclass problems
F Aiolli, A Sperduti
Advances in neural information processing systems, 17-24, 2005
312005
A Preliminary Study on a Recommender System for the Million Songs Dataset Challenge.
F Aiolli
IIR, 73-83, 2013
302013
Route kernels for trees
F Aiolli, G Da San Martino, A Sperduti
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
292009
SPI: a System for Palaeographic Inspections
F Aiolli, M Simi, D Sona, A Sperduti, A Starita, G Zaccagnini
AIIA Notizie http://www. dsi. unifi. it/AIIA 4, 34-38, 1999
281999
Learning nonsparse kernels by self-organizing maps for structured data
F Aiolli, G Da San Martino, M Hagenbuchner, A Sperduti
IEEE Transactions on Neural Networks 20 (12), 1938-1949, 2009
232009
Preferential text classification: Learning algorithms and evaluation measures
F Aiolli, R Cardin, F Sebastiani, A Sperduti
Information retrieval 12 (5), 559-580, 2009
232009
Efficient kernel-based learning for trees
F Aiolli, G Da San Martino, A Sperduti, A Moschitti
2007 IEEE Symposium on Computational Intelligence and Data Mining, 308-315, 2007
222007
A preference model for structured supervised learning tasks
F Aiolli
Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005
212005
ClimbTheWorld: Real-time stairstep counting to increase physical activity
F Aiolli, M Ciman, M Donini, O Gaggi
Proceedings of the 11th International Conference on Mobile and Ubiquitous …, 2014
202014
Fast on-line kernel learning for trees
F Aiolli, G Da San Martino, A Sperduti, A Moschitti
Sixth International Conference on Data Mining (ICDM'06), 787-791, 2006
202006
Convex AUC optimization for top-N recommendation with implicit feedback
F Aiolli
Proceedings of the 8th ACM Conference on Recommender Systems, 293-296, 2014
192014
Enhancing artificial intelligence on a real mobile game
F Aiolli, CE Palazzi
International Journal of Computer Games Technology 2009, 1, 2009
182009
A re-weighting strategy for improving margins
F Aiolli, A Sperduti
Artificial Intelligence 137 (1-2), 197-216, 2002
162002
Learning deep kernels in the space of dot product polynomials
M Donini, F Aiolli
Machine Learning, 1-25, 2016
142016
Improving biomarker list stability by integration of biological knowledge in the learning process
T Sanavia, F Aiolli, G Da San Martino, A Bisognin, B Di Camillo
BMC bioinformatics 13 (4), S22, 2012
142012
A preference optimization based unifying framework for supervised learning problems
F Aiolli, A Sperduti
Preference learning, 19-42, 2010
142010
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