| 2023 |
Metric Learning in Histopathological Image Classification: Opening the Black Box |
Articolo in rivista |
Vai |
| 2023 |
Neural networks as building blocks for the design of efficient learned indexes |
Articolo in rivista |
Vai |
| 2023 |
Correction to: Neural networks as building blocks for the design of efficient learned indexes |
Articolo in rivista |
Vai |
| 2023 |
Learned Sorted Table Search and Static Indexes in Small-Space Data Models †|
Articolo in rivista |
Vai |
| 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 |
Vai |
| 2022 |
An implementation of Generic Learned Static Sorted Sets Dictionaries |
Altro |
Vai |
| 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 |
Vai |
| 2022 |
Muscle Histopathological Abnormalities in a Patient With a CCT5 Mutation Predicted to Affect the Apical Domain of the Chaperonin Subunit |
Articolo in rivista |
Vai |
| 2022 |
Learned Sorted Table Search and Static Indexes in Small Model Space |
Contributo in atti di convegno pubblicato in volume |
Vai |
| 2022 |
A Benchmarking Platform for Atomic Learned Indexes |
Altro |
Vai |
| 2021 |
A Learned Sorted Table Search Library |
Altro |
Vai |
| 2021 |
Modified Search on Sorted Data Benchmark for Branchy vs Branchfree study. |
Altro |
Vai |
| 2021 |
Classification of Sequences with Deep Artificial Neural Networks: Representation and Architectural Issues |
Capitolo o Saggio |
Vai |
| 2020 |
Recurrent Deep Neural Networks for Nucleosome Classification |
Contributo in atti di convegno pubblicato in volume |
Vai |
| 2020 |
CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification |
Articolo in rivista |
Vai |
