An introduction to deep learning in natural language processing: Models, techniques, and tools I Lauriola, A Lavelli, F Aiolli Neurocomputing 470, 443-456, 2022 | 475 | 2022 |
EasyMKL: a scalable multiple kernel learning algorithm F Aiolli, M Donini Neurocomputing 169, 215-224, 2015 | 198 | 2015 |
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 | 144 | 2013 |
Multiclass classification with multi-prototype support vector machines F Aiolli, A Sperduti Journal of Machine Learning Research 6, 817-850, 2005 | 104 | 2005 |
A kernel method for the optimization of the margin distribution F Aiolli, G Da San Martino, A Sperduti Artificial Neural Networks-ICANN 2008: 18th International Conference, Prague …, 2008 | 60 | 2008 |
Recency aware collaborative filtering for next basket recommendation G Faggioli, M Polato, F Aiolli Proceedings of the 28th ACM Conference on User Modeling, Adaptation and …, 2020 | 52 | 2020 |
Enhancing deep neural networks via multiple kernel learning I Lauriola, C Gallicchio, F Aiolli Pattern Recognition 101, 107194, 2020 | 48 | 2020 |
A Preliminary Study on a Recommender System for the Million Songs Dataset Challenge. F Aiolli IIR, 73-83, 2013 | 48 | 2013 |
Learning preferences for multiclass problems F Aiolli, A Sperduti Advances in neural information processing systems 17, 2004 | 41 | 2004 |
Learning deep kernels in the space of dot product polynomials M Donini, F Aiolli Machine Learning, 1-25, 2016 | 38 | 2016 |
Mind your wallet's privacy: identifying bitcoin wallet apps and user's actions through network traffic analysis F Aiolli, M Conti, A Gangwal, M Polato Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1484-1491, 2019 | 37 | 2019 |
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), 7, 1999 | 34 | 1999 |
Stairstep recognition and counting in a serious Game for increasing users’ physical activity M Ciman, M Donini, O Gaggi, F Aiolli Personal and Ubiquitous Computing 20, 1015-1033, 2016 | 31 | 2016 |
Route kernels for trees F Aiolli, G Da San Martino, A Sperduti Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 31 | 2009 |
Multiple graph-kernel learning F Aiolli, M Donini, N Navarin, A Sperduti 2015 IEEE Symposium Series on Computational Intelligence, 1607-1614, 2015 | 29 | 2015 |
A business process metric based on the alpha algorithm relations F Aiolli, A Burattin, A Sperduti International Conference on Business Process Management, 141-146, 2011 | 29* | 2011 |
Convex AUC optimization for top-N recommendation with implicit feedback F Aiolli Proceedings of the 8th ACM Conference on Recommender Systems, 293-296, 2014 | 28 | 2014 |
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 | 28 | 2009 |
DecOp: A multilingual and multi-domain corpus for detecting deception in typed text P Capuozzo, I Lauriola, C Strapparava, F Aiolli, G Sartori Proceedings of the 12th language resources and evaluation conference 12 …, 2020 | 27 | 2020 |
Preferential text classification: Learning algorithms and evaluation measures F Aiolli, R Cardin, F Sebastiani, A Sperduti Information retrieval 12, 559-580, 2009 | 27 | 2009 |