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Article
Open AccessExplainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective
The automatic analysis of histology images is an open research field where machine learning techniques and neural networks, especially deep architectures, are considered successful tools due to their abilities...
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Article
Open AccessCorrection to: Neural networks as building blocks for the design of efficient learned indexes
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Article
Open AccessNeural networks as building blocks for the design of efficient learned indexes
The new area of Learned Data Structures consists of mixing Machine Learning techniques with those specific to Data Structures, with the purpose to achieve time/space gains in the performance of those latter. The ...
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Chapter and Conference Paper
Learned Sorted Table Search and Static Indexes in Small Model Space
Machine Learning Techniques, properly combined with Data Structures, have resulted in Learned Static Indexes, innovative and powerful tools that speed-up Binary Search, with the use of additional space with re...
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Chapter and Conference Paper
On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes
With the aim of obtaining time/space improvements in classic Data Structures, an emerging trend is to combine Machine Learning techniques with the ones proper of Data Structures. This new area goes under the n...
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Chapter
Classification of Sequences with Deep Artificial Neural Networks: Representation and Architectural Issues
DNA sequences are the basic data type that is processed to perform a generic study of biological data analysis. One key component of the biological analysis is represented by sequence classification, a methodo...
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Article
Open AccessCORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification
Nucleosomes wrap the DNA into the nucleus of the Eukaryote cell and regulate its transcription phase. Several studies indicate that nucleosomes are determined by the combined effects of several factors, includ...
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Chapter and Conference Paper
Recurrent Deep Neural Networks for Nucleosome Classification
Nucleosomes are the fundamental repeating unit of chromatin. A nucleosome is an 8 histone proteins complex, in which approximately 147–150 pairs of DNA bases bind. Several biological studies have clearly state...
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Article
Sintesi dell’ aldeide crotonica