Giosuè Lo Bosco

Orcid: 0000-0002-1602-0693

Affiliations:
  • University of Palermo, Italy


According to our database1, Giosuè Lo Bosco authored at least 89 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Bibliography

2024
Correction to: Neural networks as building blocks for the design of efficient learned indexes.
Neural Comput. Appl., January, 2024

Bacteria Taxonomic Classification using Graph Neural Networks.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023
Neural networks as building blocks for the design of efficient learned indexes.
Neural Comput. Appl., October, 2023

Metric Learning in Histopathological Image Classification: Opening the Black Box.
Sensors, July, 2023

Learned Sorted Table Search and Static Indexes in Small-Space Data Models.
Data, March, 2023

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., 2023

From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice.
CoRR, 2023

Breast Cancer Histologic Grade Identification by Graph Neural Network Embeddings.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023

Get in (Multi)touch with the Tangent.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2023

Visualization and Analysis of Transformer Attention.
Proceedings of the 1st Workshop on Artificial Intelligence for Perception and Artificial Consciousness (AIxPAC 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022
A pattern recognition approach to identify biological clusters acquired by acoustic multi-beam in Kongsfjorden.
Environ. Model. Softw., 2022

Automatic classification of acoustically detected krill aggregations: A case study from Southern Ocean.
Environ. Model. Softw., 2022

Standard Vs Uniform Binary Search and Their Variants in Learned Static Indexing: The Case of the Searching on Sorted Data Benchmarking Software Platform.
CoRR, 2022

Deep Metric Learning for Transparent Classification of Covid-19 X-Ray Images.
Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

A Case Study for the Design and Implementation of Immersive Experiences in Support of Sicilian Cultural Heritage.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes.
Proceedings of the Engineering Applications of Neural Networks, 2022

An Active Learning Approach for Classifying Explosion Quakes.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

Deep Metric Learning for Histopathological Image Classification.
Proceedings of the Eighth IEEE International Conference on Multimedia Big Data, 2022

2021
Supporting Emotion Automatic Detection and Analysis over Real-Life Text Corpora via Deep Learning: Model, Methodology and Framework.
J. Vis. Lang. Comput., 2021

Learned Sorted Table Search and Static Indexes in Small Space: Methodological and Practical Insights via an Experimental Study.
CoRR, 2021

DeepEva: A deep neural network architecture for assessing sentence complexity in Italian and English languages.
Array, 2021

Fuzzy clustering of histopathological images using deep learning embeddings.
Proceedings of WILF 2021, 2021

A Controllable Text Simplification System for the Italian Language.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

A Novel Approach for Supporting Italian Satire Detection Through Deep Learning.
Proceedings of the Flexible Query Answering Systems - 14th International Conference, 2021

Towards A Deep-Learning-Based Methodology for Supporting Satire Detection (S).
Proceedings of the 27th International DMS Conference on Visualization and Visual Languages, 2021

Learned Sorted Table Search and Static Indexes in Small Model Space.
Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020
Design, development and validation of a system for automatic help to medical text understanding.
Int. J. Medical Informatics, 2020

Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines.
CoRR, 2020

BITS2019: the sixteenth annual meeting of the Italian society of bioinformatics.
BMC Bioinform., 2020

CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification.
BMC Bioinform., 2020

Deep Neural Attention-Based Model for the Evaluation of Italian Sentences Complexity.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

Analysis and Comparison of Deep Learning Networks for Supporting Sentiment Mining in Text Corpora.
Proceedings of the iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services, Virtual Event / Chiang Mai, Thailand, November 30, 2020

Pattern Classification from Multi-beam Acoustic Data Acquired in Kongsfjorden.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Unsupervised Classification of Acoustic Echoes from Two Krill Species in the Southern Ocean (Ross Sea).
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Optimization of Low-Cost Monitoring Systems for On-Site Earthquake Early-Warning of Critical Infrastructures.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019
Effectiveness of data-driven induction of semantic spaces and traditional classifiers for sarcasm detection.
Nat. Lang. Eng., 2019

Identifying small pelagic Mediterranean fish schools from acoustic and environmental data using optimized artificial neural networks.
Ecol. Informatics, 2019

Improving Communication in Risk Management of Health Information Technology Systems by means of Medical Text Simplification.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Multi-class Text Complexity Evaluation via Deep Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Machine Learning Models for Measuring Syntax Complexity of English Text.
Proceedings of the Biologically Inspired Cognitive Architectures 2019, 2019

2018
Deep learning architectures for prediction of nucleosome positioning from sequences data.
BMC Bioinform., 2018

Deep learning models for bacteria taxonomic classification of metagenomic data.
BMC Bioinform., 2018

Augmented Reality Gamification for Human Anatomy.
Proceedings of the Games and Learning Alliance - 7th International Conference, 2018

Development and Practical Use of a Medical Vocabulary-Thesaurus-Dictionary for Patient Empowerment.
Proceedings of the 19th International Conference on Computer Systems and Technologies, 2018

Identification of Key miRNAs in Regulation of PPI Networks.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

Recurrent Deep Neural Networks for Nucleosome Classification.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

A Neural Network model for the Evaluation of Text Complexity in Italian Language: a Representation Point of View.
Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

A Sentence based System for Measuring Syntax Complexity using a Recurrent Deep Neural Network.
Proceedings of the 2nd Workshop on Natural Language for Artificial Intelligence (NL4AI 2018) co-located with 17th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2018), 2018

A Recurrent Deep Neural Network Model to measure Sentence Complexity for the Italian Language.
Proceedings of the 6th International Workshop on Artificial Intelligence and Cognition, 2018

Variable Ranking Feature Selection for the Identification of Nucleosome Related Sequences.
Proceedings of the New Trends in Databases and Information Systems, 2018

2017
A Deep Learning Network for Exploiting Positional Information in Nucleosome Related Sequences.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016
Deep Learning Architectures for DNA Sequence Classification.
Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016

A Layered Architecture for Sentiment Classification of Products Reviews in Italian Language.
Proceedings of the Web Information Systems and Technologies, 2016

A Lexicon-based Approach for Sentiment Classification of Amazon Books Reviews in Italian Language.
Proceedings of the 12th International Conference on Web Information Systems and Technologies, 2016

A Deep Learning Model for Epigenomic Studies.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

A Framework for Opening Data and Creating Advanced Services in the Health and Social Fields.
Proceedings of the 17th International Conference on Computer Systems and Technologies, 2016

2015
Bayesian versus data driven model selection for microarray data.
Nat. Comput., 2015

Alignment Free Dissimilarities for Nucleosome Classification.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2015

An Automatic System for Helping Health Consumers to Understand Medical Texts .
Proceedings of the HEALTHINF 2015, 2015

2014
An island strategy for memetic discrete tomography reconstruction.
Inf. Sci., 2014

Applications of alignment-free methods in epigenomics.
Briefings Bioinform., 2014

A web search methodology for health consumers.
Proceedings of the 15th International Conference on Computer Systems and Technologies, 2014

A New Feature Selection Methodology for K-mers Representation of DNA Sequences.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

2013
A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis.
BMC Bioinform., 2013

Dissimilarity Measures for the Identification of Earthquake Focal Mechanisms.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

2011
A motif-independent metric for DNA sequence specificity.
BMC Bioinform., 2011

A Memetic Island Model for Discrete Tomography Reconstruction.
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011

A New Dissimilarity Measure for Clustering Seismic Signals.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

2010
A memetic approach to discrete tomography from noisy projections.
Pattern Recognit., 2010

Distance Functions, Clustering Algorithms and Microarray Data Analysis.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

The Three Steps of Clustering in the Post-Genomic Era: A Synopsis.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010

2009
A one class KNN for signal identification: a biological case study.
Int. J. Knowl. Eng. Soft Data Paradigms, 2009

A Fuzzy One Class Classifier for Multi Layer Model.
Proceedings of the Fuzzy Logic and Applications, 8th International Workshop, 2009

2008
A One Class Classifier for Signal Identification: A Biological Case Study.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

A Memetic Algorithm for Binary Image Reconstruction.
Proceedings of the Combinatorial Image Analysis, 12th International Workshop, 2008

Intruders pattern identification.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Discrete Tomography Reconstruction through a New Memetic Algorithm.
Proceedings of the Applications of Evolutionary Computing, 2008

Interval Length Analysis in Multi Layer Model.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2008

2007
An integrated fuzzy cells-classifier.
Image Vis. Comput., 2007

Combining One Class Fuzzy KNN's.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

A New Multi-Layers Method to Analyze Gene Expression.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2005
A genetic integrated fuzzy classifier.
Pattern Recognit. Lett., 2005

GenClust: A genetic algorithm for clustering gene expression data.
BMC Bioinform., 2005

Image Segmentation Based on Genetic Algorithms Combination.
Proceedings of the Image Analysis and Processing, 2005

PGAC: A Parallel Genetic Algorithm for Data Clustering.
Proceedings of the Seventh International Workshop on Computer Architectures for Machine Perception (CAMP 2005), 2005

2003
Classification based on iterative object symmetry transform.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

2002
Shape-Based Features for Cat Ganglion Retinal Cells Classification.
Real Time Imaging, 2002

2001
A Genetic Algorithm for Image Segmentation.
Proceedings of the 11th International Conference on Image Analysis and Processing (ICIAP 2001), 2001

2000
A Distributed Architecture for Autonomous Navigation of Robots.
Proceedings of the Fifth International Workshop on Computer Architectures for Machine Perception (CAMP 2000), 2000


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