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DOMENICO AMATO

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