Domenico Amato

24 papers C 1Journal 15Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GECo: a community-based graph neural network explainer. Computing Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella
2025	J	`jnl`	Classification of Histopathology Images by Siamese and Triplet Network Embeddings. IEEE Access Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella
2025	—	`conf`	CystSeg: A New Dataset for Automatic Cyst Segmentation. ICIAP (Workshops 2) Domenico Amato, Vincenza Maria Elena Bonfiglio, Salvatore Calderaro, Enea Chisci, Alberto La Felice, Giosuè Lo Bosco, Riccardo Rizzo, Maria Vadalà, Filippo Vella
2025	—	`conf`	Integrating Deep Learning and Radiomic Features for Glioblastoma Treatment Response Classification. BIBM Domenico Amato, Salvatore Calderaro, Luca D'Arrigo Reitano, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella
2024	—	`conf`	Bacteria Taxonomic Classification using Graph Neural Networks. EAIS Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella
2024	J	`jnl`	Correction to: Neural networks as building blocks for the design of efficient learned indexes. Neural Comput. Appl. Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
2024	J	`jnl`	Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective. Cogn. Comput. Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella
2024	—	`conf`	Proteins Transcription Factor Prediction Using Graph Neural Networks. CIBB Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Filippo Vella, Riccardo Rizzo
2024	J	`jnl`	The GECo algorithm for Graph Neural Networks Explanation. CoRR Salvatore Calderaro, Domenico Amato, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella
2023	J	`jnl`	From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice. CoRR Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
2023	J	`jnl`	Learned Sorted Table Search and Static Indexes in Small-Space Data Models. Data Domenico Amato, Raffaele Giancarlo, Giosuè Lo Bosco
2023	J	`jnl`	Metric Learning in Histopathological Image Classification: Opening the Black Box. Sensors Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella
2023	J	`jnl`	Neural networks as building blocks for the design of efficient learned indexes. Neural Comput. Appl. Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
2023	J	`jnl`	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. Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
2023	—	`conf`	Transformers for Interpretable Classification of Histopathological Images. CIBB Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Giuseppe Marino, Filippo Vella, Riccardo Rizzo
2022	—	`—`	A Tour of Learned Static Sorted Sets Dictionaries: From Specific to Generic with an Experimental Performance Analysis. Domenico Amato
2022	J	`jnl`	On the Suitability of Neural Networks as Building Blocks for The Design of Efficient Learned Indexes. CoRR Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
2022	C	`conf`	On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes. EANN Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
2022	J	`jnl`	Standard Vs Uniform Binary Search and Their Variants in Learned Static Indexing: The Case of the Searching on Sorted Data Benchmarking Software Platform. CoRR Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
2021	—	`conf`	Learned Sorted Table Search and Static Indexes in Small Model Space. AI*IA Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
2021	J	`jnl`	Learned Sorted Table Search and Static Indexes in Small Space: Methodological and Practical Insights via an Experimental Study. CoRR Domenico Amato, Raffaele Giancarlo, Giosuè Lo Bosco
2020	J	`jnl`	CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification. BMC Bioinform. Domenico Amato, Giosuè Lo Bosco, Riccardo Rizzo
2020	J	`jnl`	Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines. CoRR Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo
2018	—	`conf`	Recurrent Deep Neural Networks for Nucleosome Classification. CIBB Domenico Amato, Mattia Antonino Di Gangi, Giosuè Lo Bosco, Riccardo Rizzo