Domenico Amato

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Building Blocks

Mahalanobis Metric

Top Venues

Neural Comput. Appl.

Publications

Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
Correction to: Neural networks as building blocks for the design of efficient learned indexes. Neural Comput. Appl. 36 (2) (2024)
Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella
Bacteria Taxonomic Classification using Graph Neural Networks. EAIS (2024)
Domenico Amato, Raffaele Giancarlo, Giosuè Lo Bosco
Learned Sorted Table Search and Static Indexes in Small-Space Data Models. Data 8 (3) (2023)
Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella
Metric Learning in Histopathological Image Classification: Opening the Black Box. Sensors 23 (13) (2023)
Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice. CoRR (2023)
Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
Neural networks as building blocks for the design of efficient learned indexes. Neural Comput. Appl. 35 (29) (2023)
Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
Standard versus uniform binary search and their variants in learned static indexing: The case of the searching on sorted data benchmarking software platform. Softw. Pract. Exp. 53 (2) (2023)
Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes. EANN (2022)
Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
On the Suitability of Neural Networks as Building Blocks for The Design of Efficient Learned Indexes. CoRR (2022)
Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
Standard Vs Uniform Binary Search and Their Variants in Learned Static Indexing: The Case of the Searching on Sorted Data Benchmarking Software Platform. CoRR (2022)
Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
Learned Sorted Table Search and Static Indexes in Small Model Space. AI*IA (2021)
Domenico Amato, Raffaele Giancarlo, Giosuè Lo Bosco
Learned Sorted Table Search and Static Indexes in Small Space: Methodological and Practical Insights via an Experimental Study. CoRR (2021)
Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines. CoRR (2020)
Domenico Amato, Giosuè Lo Bosco, Riccardo Rizzo
CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification. BMC Bioinform. (8) (2020)
Domenico Amato, Mattia Antonino Di Gangi, Giosuè Lo Bosco, Riccardo Rizzo
Recurrent Deep Neural Networks for Nucleosome Classification. CIBB (2018)