AIOLLI, FABIO

AIOLLI, FABIO  

Dipartimento di Matematica "Tullio Levi-Civita" - DM  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
A Re-weighting Strategy for Improving Margins 2002 AIOLLI, FABIOSPERDUTI, ALESSANDRO ARTIFICIAL INTELLIGENCE - -
Advances in artificial neural networks, machine learning and computational intelligence 2018 Aiolli, Fabio + NEUROCOMPUTING - -
Advances in artificial neural networks, machine learning and computational intelligence 2017 AIOLLI, FABIO + NEUROCOMPUTING - -
An Efficient Topological Distance-Based Tree Kernel 2015 AIOLLI, FABIODA SAN MARTINO, GIOVANNISPERDUTI, ALESSANDRO IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS - -
Boolean kernels for collaborative filtering in top-N item recommendation 2018 POLATO, MIRKOAiolli, Fabio NEUROCOMPUTING - -
Boolean kernels for rule based interpretation of support vector machines 2019 Polato, MirkoAiolli, Fabio NEUROCOMPUTING - -
EasyMKL: A scalable multiple kernel learning algorithm 2015 AIOLLI, FABIODONINI, MICHELE NEUROCOMPUTING - -
Enhancing Artificial Intelligence on a Real Mobile Game 2009 AIOLLI, FABIOPALAZZI, CLAUDIO ENRICO INTERNATIONAL JOURNAL OF COMPUTER GAMES TECHNOLOGY - -
Enhancing deep neural networks via multiple kernel learning 2020 Lauriola I.Aiolli F. + PATTERN RECOGNITION - -
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation 2017 POLATO, MIRKOAIOLLI, FABIO NEUROCOMPUTING - -
Improving biomarker list stability by integration of biological knowledge in the learning process. 2012 SANAVIA, TIZIANAAIOLLI, FABIODA SAN MARTINO, GIOVANNIBISOGNIN, ANDREADI CAMILLO, BARBARA BMC BIOINFORMATICS - -
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools 2022 Lauriola I.Aiolli F. + NEUROCOMPUTING - -
Learning adaptive representations for entity recognition in the biomedical domain 2021 Lauriola I.Aiolli F. + JOURNAL OF BIOMEDICAL SEMANTICS - -
Learning deep kernels in the space of dot product polynomials 2017 DONINI, MICHELEAIOLLI, FABIO MACHINE LEARNING - -
Learning deep kernels in the space of monotone conjunctive polynomials 2020 Lauriola I.Polato M.Aiolli F. PATTERN RECOGNITION LETTERS - -
Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data 2009 AIOLLI, FABIODA SAN MARTINO, GIOVANNISPERDUTI, ALESSANDRO + IEEE TRANSACTIONS ON NEURAL NETWORKS - -
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels 2017 Navarin, NicoloDonini, MicheleSperduti, AlessandroAiolli, Fabio + IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS - -
Measuring the expressivity of graph kernels through Statistical Learning Theory 2017 NAVARIN, NICOLO'DONINI, MICHELESPERDUTI, ALESSANDROAIOLLI, FABIO + NEUROCOMPUTING - -
Multiclass Classification with Multi-Prototype Support Vector Machines 2005 AIOLLI, FABIOSPERDUTI, ALESSANDRO JOURNAL OF MACHINE LEARNING RESEARCH - -
A novel Boolean kernels family for categorical data 2018 Polato, MirkoLauriola, IvanoAiolli, Fabio ENTROPY - -