17 results on '"Domenico Amato"'
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2. Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective.
3. The GECo algorithm for Graph Neural Networks Explanation.
4. Neural networks as building blocks for the design of efficient learned indexes.
5. Standard versus uniform binary search and their variants in learned static indexing: The case of the searching on sorted data benchmarking software platform.
6. On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes.
7. Correction to: Neural networks as building blocks for the design of efficient learned indexes.
8. From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice.
9. Learned Sorted Table Search and Static Indexes in Small Model Space.
10. Standard Vs Uniform Binary Search and Their Variants in Learned Static Indexing: The Case of the Searching on Sorted Data Benchmarking Software Platform.
11. On the Suitability of Neural Networks as Building Blocks for The Design of Efficient Learned Indexes.
12. Learned Sorted Table Search and Static Indexes in Small-Space Data Models.
13. Metric Learning in Histopathological Image Classification: Opening the Black Box.
14. Recurrent Deep Neural Networks for Nucleosome Classification.
15. Learned Sorted Table Search and Static Indexes in Small Space: Methodological and Practical Insights via an Experimental Study.
16. Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines.
17. CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification.
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