Domenico Amato

According to our database, Domenico Amato authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective.

Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

Cogn. Comput., November, 2024

Correction to: Neural networks as building blocks for the design of efficient learned indexes.

Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo

Neural Comput. Appl., January, 2024

The GECo algorithm for Graph Neural Networks Explanation.

Salvatore Calderaro, Domenico Amato, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

CoRR, 2024

Bacteria Taxonomic Classification using Graph Neural Networks.

Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023

Neural networks as building blocks for the design of efficient learned indexes.

Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo

Neural Comput. Appl., October, 2023

Metric Learning in Histopathological Image Classification: Opening the Black Box.

Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

Sensors, July, 2023

Learned Sorted Table Search and Static Indexes in Small-Space Data Models.

Domenico Amato, Raffaele Giancarlo, Giosuè Lo Bosco

Data, March, 2023

Standard versus uniform binary search and their variants in learned static indexing: The case of the searching on sorted data benchmarking software platform.

Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo

Softw. Pract. Exp., 2023

From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice.

Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo

CoRR, 2023

2022

Standard Vs Uniform Binary Search and Their Variants in Learned Static Indexing: The Case of the Searching on Sorted Data Benchmarking Software Platform.

Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo

CoRR, 2022

On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes.

Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo

Proceedings of the Engineering Applications of Neural Networks, 2022

2021

Learned Sorted Table Search and Static Indexes in Small Space: Methodological and Practical Insights via an Experimental Study.

Domenico Amato, Raffaele Giancarlo, Giosuè Lo Bosco

CoRR, 2021

Learned Sorted Table Search and Static Indexes in Small Model Space.

Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo

Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020

Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines.

Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo

CoRR, 2020

CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification.

Domenico Amato, Giosuè Lo Bosco, Riccardo Rizzo

BMC Bioinform., 2020

2018

Recurrent Deep Neural Networks for Nucleosome Classification.

Domenico Amato, Mattia Antonino Di Gangi, Giosuè Lo Bosco, Riccardo Rizzo

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018