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DOMENICO AMATO

Curriculum and Research

DOMENICO AMATO

(INFO-01/A)

Matematica e Informatica

Contacts

domenico.amato01@unipa.it

Curriculum not available

Subjects

Academic Year	Subject identification code	Subject name	ECTS	Course of study
2024/2025	24093	ALGORITMI PER L'INTELLIGENZA ARTIFICIALE	9	INTELLIGENZA ARTIFICIALE

Publications

Date	Title	Type	Record
2024	Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective	Articolo in rivista	Go to
2024	Bacteria Taxonomic Classification using Graph Neural Networks	Contributo in atti di convegno pubblicato in volume	Go to
2024	Leveraging Deep Embeddings for Explainable Medical Image Analysis	Capitolo o Saggio	Go to
2023	Standard versus uniform binary search and their variants in learned static indexing: The case of the searching on sorted data benchmarking software platform	Articolo in rivista	Go to
2023	Neural networks as building blocks for the design of efficient learned indexes	Articolo in rivista	Go to
2023	Correction to: Neural networks as building blocks for the design of efficient learned indexes	Articolo in rivista	Go to
2023	Learned Sorted Table Search and Static Indexes in Small-Space Data Models †	Articolo in rivista	Go to
2023	Metric Learning in Histopathological Image Classification: Opening the Black Box	Articolo in rivista	Go to
2022	A Benchmarking Platform for Atomic Learned Indexes	Altro	Go to
2022	Learned Sorted Table Search and Static Indexes in Small Model Space	Contributo in atti di convegno pubblicato in volume	Go to
2022	Muscle Histopathological Abnormalities in a Patient With a CCT5 Mutation Predicted to Affect the Apical Domain of the Chaperonin Subunit	Articolo in rivista	Go to
2022	On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes	Contributo in atti di convegno pubblicato in volume	Go to
2022	An implementation of Generic Learned Static Sorted Sets Dictionaries	Altro	Go to
2021	A Learned Sorted Table Search Library	Altro	Go to
2021	Classification of Sequences with Deep Artificial Neural Networks: Representation and Architectural Issues	Capitolo o Saggio	Go to
2021	Modified Search on Sorted Data Benchmark for Branchy vs Branchfree study.	Altro	Go to
2020	Recurrent Deep Neural Networks for Nucleosome Classification	Contributo in atti di convegno pubblicato in volume	Go to
2020	CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification	Articolo in rivista	Go to