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ORCIDGiosuè Lo Bosco
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Publications
- 2024
[j27]Domenico Amato, Giosuè Lo Bosco
, Raffaele Giancarlo:
Correction to: Neural networks as building blocks for the design of efficient learned indexes. Neural Comput. Appl. 36(2): 1047 (2024)- 2023
- [j26]Domenico Amato, Raffaele Giancarlo, Giosuè Lo Bosco:
Learned Sorted Table Search and Static Indexes in Small-Space Data Models. Data 8(3): 56 (2023) - [j25]Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo:
Neural networks as building blocks for the design of efficient learned indexes. Neural Comput. Appl. 35(29): 21399-21414 (2023) - [j23]Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo:
Standard versus uniform binary search and their variants in learned static indexing: The case of the searching on sorted data benchmarking software platform. Softw. Pract. Exp. 53(2): 318-346 (2023) - [i6]Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo:
From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice. CoRR abs/2309.00946 (2023) - 2022
- [c53]Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo:
On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes. EANN 2022: 115-127 - [i5]Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo:
Standard Vs Uniform Binary Search and Their Variants in Learned Static Indexing: The Case of the Searching on Sorted Data Benchmarking Software Platform. CoRR abs/2201.01554 (2022) - [i4]Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo:
On the Suitability of Neural Networks as Building Blocks for The Design of Efficient Learned Indexes. CoRR abs/2203.14777 (2022) - 2021
- [c50]Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo:
Learned Sorted Table Search and Static Indexes in Small Model Space. AI*IA 2021: 462-477 - [i3]Domenico Amato, Raffaele Giancarlo, Giosuè Lo Bosco:
Learned Sorted Table Search and Static Indexes in Small Space: Methodological and Practical Insights via an Experimental Study. CoRR abs/2107.09480 (2021) - 2020
- [i2]Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo:
Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines. CoRR abs/2007.10237 (2020) - 2015
- [j11]Raffaele Giancarlo, Giosuè Lo Bosco, Filippo Utro:
Bayesian versus data driven model selection for microarray data. Nat. Comput. 14(3): 393-402 (2015) - 2013
- [j8]Raffaele Giancarlo, Giosuè Lo Bosco, Luca Pinello, Filippo Utro:
A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis. BMC Bioinform. 14(S-1): S6 (2013) - 2010
- [c16]Raffaele Giancarlo, Giosuè Lo Bosco, Luca Pinello, Filippo Utro:
The Three Steps of Clustering in the Post-Genomic Era: A Synopsis. CIBB 2010: 13-30 - [c15]Raffaele Giancarlo, Giosuè Lo Bosco, Luca Pinello:
Distance Functions, Clustering Algorithms and Microarray Data Analysis. LION 2010: 125-138 - 2005
- [j3]Vito Di Gesù, Raffaele Giancarlo, Giosuè Lo Bosco, Alessandra Raimondi, Davide Scaturro:
GenClust: A genetic algorithm for clustering gene expression data. BMC Bioinform. 6: 289 (2005)
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