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Fabio Aiolli

Showing results (1-10 of 12) with videos related to

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Entropy (Basel, Switzerland)|August 27, 2021
Propositional KernelsMirko Polato, Fabio Aiolli
Entropy (Basel, Switzerland)|December 3, 2020
A Novel Boolean Kernels Family for Categorical DataMirko Polato, Ivano Lauriola, Fabio Aiolli
IEEE Transactions on Neural Networks and Learning Systems|July 12, 2014
An efficient topological distance-based tree kernelFabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
Journal of Biomedical Semantics|May 18, 2021
Learning adaptive representations for entity recognition in the biomedical domainIvano Lauriola, Fabio Aiolli, Alberto Lavelli, et al.
IEEE Transactions on Neural Networks|October 23, 2009
Learning nonsparse kernels by self-organizing maps for structured dataFabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, et al.
The Journal of Chemical Physics|September 23, 2020
Radical scavenging activity of natural antioxidants and drugs: Development of a combined machine learning and quantum chemistry protocolCecilia Muraro, Mirko Polato, Marco Bortoli, et al.
Omega|June 15, 2021
Social Support and Help-Seeking Among Suicide Bereaved: A Study With Italian SurvivorsLorenza Entilli, Diego De Leo, Fabio Aiolli, et al.
BMC Bioinformatics|April 28, 2012
Improving biomarker list stability by integration of biological knowledge in the learning processTiziana Sanavia, Fabio Aiolli, Giovanni Da San Martino, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 11, 2018
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph KernelsLuca Oneto, Nicolo Navarin, Michele Donini, et al.
BMC Bioinformatics|January 27, 2018
Scuba: scalable kernel-based gene prioritizationGuido Zampieri, Dinh Van Tran, Michele Donini, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Entropy (Basel, Switzerland)|August 27, 2021
Propositional KernelsMirko Polato, Fabio Aiolli
Entropy (Basel, Switzerland)|December 3, 2020
A Novel Boolean Kernels Family for Categorical DataMirko Polato, Ivano Lauriola, Fabio Aiolli
IEEE Transactions on Neural Networks and Learning Systems|July 12, 2014
An efficient topological distance-based tree kernelFabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
Journal of Biomedical Semantics|May 18, 2021
Learning adaptive representations for entity recognition in the biomedical domainIvano Lauriola, Fabio Aiolli, Alberto Lavelli, et al.
IEEE Transactions on Neural Networks|October 23, 2009
Learning nonsparse kernels by self-organizing maps for structured dataFabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, et al.
The Journal of Chemical Physics|September 23, 2020
Radical scavenging activity of natural antioxidants and drugs: Development of a combined machine learning and quantum chemistry protocolCecilia Muraro, Mirko Polato, Marco Bortoli, et al.
Omega|June 15, 2021
Social Support and Help-Seeking Among Suicide Bereaved: A Study With Italian SurvivorsLorenza Entilli, Diego De Leo, Fabio Aiolli, et al.
BMC Bioinformatics|April 28, 2012
Improving biomarker list stability by integration of biological knowledge in the learning processTiziana Sanavia, Fabio Aiolli, Giovanni Da San Martino, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 11, 2018
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph KernelsLuca Oneto, Nicolo Navarin, Michele Donini, et al.
BMC Bioinformatics|January 27, 2018
Scuba: scalable kernel-based gene prioritizationGuido Zampieri, Dinh Van Tran, Michele Donini, et al.
Pageof 2