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ORCIDGiosuè Lo Bosco
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- affiliation: University of Palermo, Italy
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2020 – today
- 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)- [c59]Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella:
Bacteria Taxonomic Classification using Graph Neural Networks. EAIS 2024: 1-6 - 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) - [j24]Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella:
Metric Learning in Histopathological Image Classification: Opening the Black Box. Sensors 23(13): 6003 (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) - [c58]Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella:
Visualization and Analysis of Transformer Attention. AIxPAC@AI*IA 2023: 42-49 - [c57]Pietro Milici, Benedetto Di Paola, Giuseppe Bianco, Claudio Di Salvo, Mariella Farella, Giosuè Lo Bosco, Davide Taibi:
Get in (Multi)touch with the Tangent. HELMeTO 2023: 29-40 - [c56]Salvatore Calderaro, Giosuè Lo Bosco, Filippo Vella, Riccardo Rizzo:
Breast Cancer Histologic Grade Identification by Graph Neural Network Embeddings. IWBBIO (2) 2023: 283-296 - [e1]Giovanni Fulantelli, Daniel Burgos, Gabriella Casalino, Marta Cimitile, Giosuè Lo Bosco, Davide Taibi:
Higher Education Learning Methodologies and Technologies Online - 4th International Conference, HELMeTO 2022, Palermo, Italy, September 21-23, 2022, Revised Selected Papers. Communications in Computer and Information Science 1779, Springer 2023, ISBN 978-3-031-29799-1 [contents] - [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
- [j22]Ignazio Fontana, Marco Barra, Angelo Bonanno, Giovanni Giacalone, Riccardo Rizzo, Olga Mangoni, Simona Genovese, Gualtiero Basilone, Rosalia Ferreri, Salvatore Mazzola, Giosuè Lo Bosco, Salvatore Aronica:
Automatic classification of acoustically detected krill aggregations: A case study from Southern Ocean. Environ. Model. Softw. 151: 105357 (2022) - [j21]Giovanni Giacalone, Marco Barra, Angelo Bonanno, Gualtiero Basilone, Ignazio Fontana, Monica Calabrò, Simona Genovese, Rosalia Ferreri, Giuseppa Buscaino, Salvatore Mazzola, Riko Noormets, Christopher Nuth, Giosuè Lo Bosco, Riccardo Rizzo, Salvatore Aronica:
A pattern recognition approach to identify biological clusters acquired by acoustic multi-beam in Kongsfjorden. Environ. Model. Softw. 152: 105401 (2022) - [c55]Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella:
Deep Metric Learning for Histopathological Image Classification. BigMM 2022: 57-64 - [c54]Antonino D'Alessandro, Andrea Di Benedetto, Giosuè Lo Bosco, Anna Figlioli:
An Active Learning Approach for Classifying Explosion Quakes. EAIS 2022: 1-6 - [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 - [c52]Roberto Barbera, Francesca Condorelli, Giuseppe Di Gregorio, Giuseppe Di Piazza, Mariella Farella, Giosuè Lo Bosco, Andrey Megvinov, Daniele Pirrone, Daniele Schicchi, Antonino Zora:
A Case Study for the Design and Implementation of Immersive Experiences in Support of Sicilian Cultural Heritage. ICIAP Workshops (1) 2022: 174-185 - [c51]Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella:
Deep Metric Learning for Transparent Classification of Covid-19 X-Ray Images. SITIS 2022: 300-307 - [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
- [j20]Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
DeepEva: A deep neural network architecture for assessing sentence complexity in Italian and English languages. Array 12: 100097 (2021) - [j19]Alfredo Cuzzocrea, Giosuè Lo Bosco, Mariano Maiorana, Giovanni Pilato, Daniele Schicchi:
Supporting Emotion Automatic Detection and Analysis over Real-Life Text Corpora via Deep Learning: Model, Methodology and Framework. J. Vis. Lang. Comput. 2021(2): 33-38 (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 - [c49]Alfredo Cuzzocrea, Giosuè Lo Bosco, Mariano Maiorana, Giovanni Pilato, Daniele Schicchi:
Towards A Deep-Learning-Based Methodology for Supporting Satire Detection (S). DMSVIVA 2021: 92-96 - [c48]Gabriella Casalino, Alfredo Cuzzocrea, Giosuè Lo Bosco, Mariano Maiorana, Giovanni Pilato, Daniele Schicchi:
A Novel Approach for Supporting Italian Satire Detection Through Deep Learning. FQAS 2021: 170-181 - [c47]Angelo Luigi Megna, Daniele Schicchi, Giosuè Lo Bosco, Giovanni Pilato:
A Controllable Text Simplification System for the Italian Language. ICSC 2021: 191-194 - [c46]Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella:
Fuzzy clustering of histopathological images using deep learning embeddings. WILF 2021 - [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
- [j18]Domenico Amato, Giosuè Lo Bosco, Riccardo Rizzo:
CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification. BMC Bioinform. 21-S(8): 326 (2020) - [j17]Alfonso Urso, Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Giosuè Lo Bosco, Riccardo Rizzo:
BITS2019: the sixteenth annual meeting of the Italian society of bioinformatics. BMC Bioinform. 21-S(8): 363 (2020) - [j16]Marco Alfano, Biagio Lenzitti, Giosuè Lo Bosco, Cinzia Muriana, Tommaso Piazza, Giovanni Vizzini:
Design, development and validation of a system for automatic help to medical text understanding. Int. J. Medical Informatics 138: 104109 (2020) - [c45]Antonino D'Alessandro, Salvatore Scudero, Giovanni Vitale, Andrea Di Benedetto, Giosuè Lo Bosco:
Optimization of Low-Cost Monitoring Systems for On-Site Earthquake Early-Warning of Critical Infrastructures. ICCSA (2) 2020: 963-975 - [c44]Giovanni Giacalone, Giosuè Lo Bosco, Marco Barra, Angelo Bonanno, Giuseppa Buscaino, Riko Noormets, Christopher Nuth, Monica Calabrò, Gualtiero Basilone, Simona Genovese, Ignazio Fontana, Salvatore Mazzola, Riccardo Rizzo, Salvatore Aronica:
Pattern Classification from Multi-beam Acoustic Data Acquired in Kongsfjorden. ICPR Workshops (6) 2020: 55-64 - [c43]Ignazio Fontana, Giovanni Giacalone, Riccardo Rizzo, Marco Barra, Olga Mangoni, Angelo Bonanno, Gualtiero Basilone, Simona Genovese, Salvatore Mazzola, Giosuè Lo Bosco, Salvatore Aronica:
Unsupervised Classification of Acoustic Echoes from Two Krill Species in the Southern Ocean (Ross Sea). ICPR Workshops (6) 2020: 65-74 - [c42]Teresa Alcamo, Alfredo Cuzzocrea, Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
Analysis and Comparison of Deep Learning Networks for Supporting Sentiment Mining in Text Corpora. iiWAS 2020: 91-96 - [c41]Daniele Schicchi, Giovanni Pilato, Giosuè Lo Bosco:
Deep Neural Attention-Based Model for the Evaluation of Italian Sentences Complexity. ICSC 2020: 253-256 - [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)
2010 – 2019
- 2019
- [j15]Salvatore Aronica, Ignazio Fontana, Giovanni Giacalone, Giosuè Lo Bosco, Riccardo Rizzo, Salvatore Mazzola, Gualtiero Basilone, Rosalia Ferreri, Simona Genovese, Marco Barra, Angelo Bonanno:
Identifying small pelagic Mediterranean fish schools from acoustic and environmental data using optimized artificial neural networks. Ecol. Informatics 50: 149-161 (2019) - [j14]Mattia Antonino Di Gangi, Giosuè Lo Bosco, Giovanni Pilato:
Effectiveness of data-driven induction of semantic spaces and traditional classifiers for sarcasm detection. Nat. Lang. Eng. 25(2): 257-285 (2019) - [c40]Daniele Schicchi, Giosuè Lo Bosco, Giovanni Pilato:
Machine Learning Models for Measuring Syntax Complexity of English Text. BICA 2019: 449-454 - [c39]Alfredo Cuzzocrea, Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
Multi-class Text Complexity Evaluation via Deep Neural Networks. IDEAL (2) 2019: 313-322 - [c38]Silvana Togneri MacMahon, Marco Alfano, Biagio Lenzitti, Giosuè Lo Bosco, Fergal McCaffery, Davide Taibi, Markus Helfert:
Improving Communication in Risk Management of Health Information Technology Systems by means of Medical Text Simplification. ISCC 2019: 1135-1140 - [i1]Mattia Antonino Di Gangi, Giosuè Lo Bosco, Giovanni Pilato:
Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection. CoRR abs/1904.04019 (2019) - 2018
- [j13]Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Giosuè Lo Bosco, Giovanni Renda, Riccardo Rizzo, Salvatore Gaglio, Alfonso Urso:
Deep learning models for bacteria taxonomic classification of metagenomic data. BMC Bioinform. 19-S(7): 61-76 (2018) - [j12]Mattia Antonino Di Gangi, Giosuè Lo Bosco, Riccardo Rizzo:
Deep learning architectures for prediction of nucleosome positioning from sequences data. BMC Bioinform. 19-S(14): 127-135 (2018) - [c37]Giosuè Lo Bosco, Riccardo Rizzo, Antonino Fiannaca, Massimo La Rosa, Alfonso Urso:
Variable Ranking Feature Selection for the Identification of Nucleosome Related Sequences. ADBIS (Short Papers and Workshops) 2018: 314-324 - [c36]Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
A Recurrent Deep Neural Network Model to measure Sentence Complexity for the Italian Language. AIC 2018: 90-97 - [c35]Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
A Sentence based System for Measuring Syntax Complexity using a Recurrent Deep Neural Network. NL4AI@AI*IA 2018: 95-101 - [c34]Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
A Neural Network model for the Evaluation of Text Complexity in Italian Language: a Representation Point of View. BICA 2018: 464-470 - [c33]Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Giosuè Lo Bosco, Riccardo Rizzo, Alfonso Urso:
Identification of Key miRNAs in Regulation of PPI Networks. CIBB 2018: 107-117 - [c32]Domenico Amato, Mattia Antonino Di Gangi, Giosuè Lo Bosco, Riccardo Rizzo:
Recurrent Deep Neural Networks for Nucleosome Classification. CIBB 2018: 118-127 - [c31]Marco Alfano, Biagio Lenzitti, Giosuè Lo Bosco, Davide Taibi:
Development and Practical Use of a Medical Vocabulary-Thesaurus-Dictionary for Patient Empowerment. CompSysTech 2018: 88-93 - [c30]Antonina Argo, Marco Arrigo, Fabio Bucchieri, Francesco Cappello, Francesco Di Paola, Mariella Farella, Alberto Fucarino, Antonietta Lanzarone, Giosuè Lo Bosco, Dario Saguto, Federico Sannasardo:
Augmented Reality Gamification for Human Anatomy. GALA 2018: 409-413 - 2017
- [c29]Mattia Antonino Di Gangi, Salvatore Gaglio, Claudio La Bua, Giosuè Lo Bosco, Riccardo Rizzo:
A Deep Learning Network for Exploiting Positional Information in Nucleosome Related Sequences. IWBBIO (2) 2017: 524-533 - 2016
- [c28]Marco Alfano, Biagio Lenzitti, Giosuè Lo Bosco, Davide Taibi:
A Framework for Opening Data and Creating Advanced Services in the Health and Social Fields. CompSysTech 2016: 57-64 - [c27]Giosuè Lo Bosco, Riccardo Rizzo, Antonino Fiannaca, Massimo La Rosa, Alfonso Urso:
A Deep Learning Model for Epigenomic Studies. SITIS 2016: 688-692 - [c26]Franco Chiavetta, Giosuè Lo Bosco, Giovanni Pilato:
A Layered Architecture for Sentiment Classification of Products Reviews in Italian Language. WEBIST (Revised Selected Papers) 2016: 120-141 - [c25]Franco Chiavetta, Giosuè Lo Bosco, Giovanni Pilato:
A Lexicon-based Approach for Sentiment Classification of Amazon Books Reviews in Italian Language. WEBIST (2) 2016: 159-170 - [c24]Giosuè Lo Bosco, Mattia Antonino Di Gangi:
Deep Learning Architectures for DNA Sequence Classification. WILF 2016: 162-171 - 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) - [c23]Marco Alfano, Biagio Lenzitti, Giosuè Lo Bosco, Valerio Perticone:
An Automatic System for Helping Health Consumers to Understand Medical Texts . HEALTHINF 2015: 622-627 - [c22]Giosuè Lo Bosco:
Alignment Free Dissimilarities for Nucleosome Classification. CIBB 2015: 114-128 - 2014
- [j10]Luca Pinello, Giosuè Lo Bosco, Guo-Cheng Yuan:
Applications of alignment-free methods in epigenomics. Briefings Bioinform. 15(3): 419-430 (2014) - [j9]Marco Cipolla, Giosuè Lo Bosco, Filippo Millonzi, Cesare Valenti:
An island strategy for memetic discrete tomography reconstruction. Inf. Sci. 257: 357-368 (2014) - [c21]Giosuè Lo Bosco, Luca Pinello:
A New Feature Selection Methodology for K-mers Representation of DNA Sequences. CIBB 2014: 99-108 - [c20]Marco Alfano, Biagio Lenzitti, Giosuè Lo Bosco:
A web search methodology for health consumers. CompSysTech 2014: 150-157 - 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) - [c19]Francesco Benvegna, Giosuè Lo Bosco, Domenico Tegolo:
Dissimilarity Measures for the Identification of Earthquake Focal Mechanisms. ICIAP (2) 2013: 500-509 - 2011
- [j7]Luca Pinello, Giosuè Lo Bosco, Bret M. Hanlon, Guo-Cheng Yuan:
A motif-independent metric for DNA sequence specificity. BMC Bioinform. 12: 408 (2011) - [c18]Francesco Benvegna, Antonino D'Alessandro, Giosuè Lo Bosco, Dario Luzio, Luca Pinello, Domenico Tegolo:
A New Dissimilarity Measure for Clustering Seismic Signals. ICIAP (2) 2011: 434-443 - [c17]Marco Cipolla, Giosuè Lo Bosco, Filippo Millonzi, Cesare Valenti:
A Memetic Island Model for Discrete Tomography Reconstruction. WILF 2011: 261-268 - 2010
- [j6]Vito Di Gesù, Giosuè Lo Bosco, Filippo Millonzi, Cesare Valenti:
A memetic approach to discrete tomography from noisy projections. Pattern Recognit. 43(9): 3073-3082 (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
2000 – 2009
- 2009
- [j5]Vito Di Gesù, Giosuè Lo Bosco, Luca Pinello:
A one class KNN for signal identification: a biological case study. Int. J. Knowl. Eng. Soft Data Paradigms 1(4): 376-389 (2009) - [c14]Giosuè Lo Bosco, Luca Pinello:
A Fuzzy One Class Classifier for Multi Layer Model. WILF 2009: 124-131 - 2008
- [c13]Vito Di Gesù, Giosuè Lo Bosco, Luca Pinello:
Interval Length Analysis in Multi Layer Model. CIBB 2008: 114-122 - [c12]Vito Di Gesù, Giosuè Lo Bosco, Filippo Millonzi, Cesare Valenti:
Discrete Tomography Reconstruction through a New Memetic Algorithm. EvoWorkshops 2008: 347-352 - [c11]Vito Di Gesù, Giosuè Lo Bosco, Jerome H. Friedman:
Intruders pattern identification. ICPR 2008: 1-4 - [c10]Vito Di Gesù, Giosuè Lo Bosco, Filippo Millonzi, Cesare Valenti:
A Memetic Algorithm for Binary Image Reconstruction. IWCIA 2008: 384-395 - [c9]Vito Di Gesù, Giosuè Lo Bosco, Luca Pinello:
A One Class Classifier for Signal Identification: A Biological Case Study. KES (3) 2008: 747-754 - 2007
- [j4]Giosuè Lo Bosco:
An integrated fuzzy cells-classifier. Image Vis. Comput. 25(2): 214-219 (2007) - [c8]Davide F. V. Corona, Vito Di Gesù, Giosuè Lo Bosco, Luca Pinello, Guo-Cheng Yuan:
A New Multi-Layers Method to Analyze Gene Expression. KES (3) 2007: 862-869 - [c7]Vito Di Gesù, Giosuè Lo Bosco:
Combining One Class Fuzzy KNN's. WILF 2007: 152-160 - 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) - [j2]Vito Di Gesù, Giosuè Lo Bosco:
A genetic integrated fuzzy classifier. Pattern Recognit. Lett. 26(4): 411-420 (2005) - [c6]Giosuè Lo Bosco:
PGAC: A Parallel Genetic Algorithm for Data Clustering. CAMP 2005: 283-287 - [c5]Vito Di Gesù, Giosuè Lo Bosco:
Image Segmentation Based on Genetic Algorithms Combination. ICIAP 2005: 352-359 - 2003
- [c4]Vito Di Gesù, Giosuè Lo Bosco, Bertrand Y. Zavidovique:
Classification based on iterative object symmetry transform. ICIAP 2003: 44-49 - [c3]Giosuè Lo Bosco:
An Integrated Fuzzy Cells-Classifier. WILF 2003: 263-270 - 2002
- [j1]Regina Célia Coelho, Vito Di Gesù, Giosuè Lo Bosco, Júlia Sawaki Tanaka, Cesare Valenti:
Shape-Based Features for Cat Ganglion Retinal Cells Classification. Real Time Imaging 8(3): 213-226 (2002) - 2001
- [c2]Giosuè Lo Bosco:
A Genetic Algorithm for Image Segmentation. ICIAP 2001: 262-266 - 2000
- [c1]Vito Di Gesù, Biagio Lenzitti, Giosuè Lo Bosco, Domenico Tegolo:
A Distributed Architecture for Autonomous Navigation of Robots. CAMP 2000: 190-194
Coauthor Index
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