Angelo Ciaramella

Orcid: 0000-0001-5592-7995

According to our database1, Angelo Ciaramella authored at least 86 papers between 1999 and 2024.

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Bibliography

2024
Multi-Method Technics and Deep Neural Networks Tools on Board ARGO USV for the Geoarchaeological and Geomorphological Mapping of Coastal Areas: The Case of Puteoli Roman Harbour.
Sensors, February, 2024

Workflows' applications in computational environmental science: a survey.
Proceedings of the 2nd Workshop on Workflows in Distributed Environments, 2024

A 3D-CNNs Approach to Classify Users' Emotion through EEG-based Topographical Maps in HRI.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
Tracking vision transformer with class and regression tokens.
Inf. Sci., 2023

Message from the General Chairs: PDP 2023.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Message from the Organizing Committee Chairs: PDP 2023.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

A containerized distributed processing platform for autonomous surface vehicles: preliminary results for marine litter detection.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

LOTS: Litter On The Sand dataset for litter segmentation.
Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

Skip-SegFormer - Efficient Semantic Segmentation for urban driving.
Proceedings of the Italia Intelligenza Artificiale, 2023

AI-based Monitoring of Coastal and Marine Environments.
Proceedings of the Italia Intelligenza Artificiale, 2023

Prediction of Wave Energy Spectrum Based on Ship Motions Using a Data-Driven Approach.
Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA 2023), 2023

Dataspaces: Concepts, Architectures and Initiatives.
Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA 2023), 2023

Litter segmentation with LOTS dataset.
Proceedings of the 2023 ACM Conference on Information Technology for Social Good, 2023

Citizen Science for the Sea with Information Technologies: An Open Platform for Gathering Marine Data and Marine Litter Detection from Leisure Boat Instruments.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022
A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodology.
BMC Bioinform., July, 2022

Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation.
Environ. Model. Softw., 2022

The Journal Pattern for Streaming Data.
Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), 2022

Fuzzy Cognitive Maps Extraction from Enriched Tweets.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

The Tenth Visual Object Tracking VOT2022 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

AIQUAM: Artificial Intelligence-based water QUAlity Model.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021
Selected papers from the 15th and 16th international conference on Computational Intelligence Methods for Bioinformatics and Biostatistics.
BMC Bioinform., 2021

Adaptive one-class Gaussian processes allow accurate prioritization of oncology drug targets.
Bioinform., 2021

Advanced Fuzzy Relational Neural Network.
Proceedings of WILF 2021, 2021

A fuzzy rule base minimization perspective in XAI.
Proceedings of WILF 2021, 2021

A GPU Algorithm for Outliers Detection in TESS Light Curves.
Proceedings of the Computational Science - ICCS 2021, 2021

2020
Blind Source Separation Using Dictionary Learning in Wireless Sensor Network Scenario.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Semantic Maps for Knowledge Management of Web and Social Information.
Proceedings of the Computational Intelligence for Semantic Knowledge Management, 2020

Record linkage of banks and municipalities through multiple criteria and neural networks.
PeerJ Comput. Sci., 2020

Correction to: Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm.
Neural Comput. Appl., 2020

Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm.
Neural Comput. Appl., 2020

Data integration by fuzzy similarity-based hierarchical clustering.
BMC Bioinform., 2020

Environment Object Detection for Marine ARGO Drone by Deep Learning.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

A Neuro-Fuzzy Based Approach for Resting-state Detection Using A Consumer-grade EEG.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019
Content-Based Music Agglomeration by Sparse Modeling and Convolved Independent Component Analysis.
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

A Sparse-Modeling Based Approach for Class Specific Feature Selection.
PeerJ Comput. Sci., 2019

Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron.
Ecol. Informatics, 2019

On the Role of Clustering and Visualization Techniques in Gene Microarray Data.
Algorithms, 2019

StormSeeker: A Machine-Learning-Based Mediterranean Storm Tracer.
Proceedings of the Internet and Distributed Computing Systems, 2019

2018
Semantic Maps of Twitter Conversations.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction.
Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

2017
Spam Detection by Machine Learning-Based Content Analysis.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Non-linear PCA Neural Network for EEG Noise Reduction in Brain-Computer Interface.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

On the Estimation of Pollen Density on Non-target Lepidoptera Food Plant Leaves in Bt-Maize Exposure Models: Open Problems and Possible Neural Network-Based Solutions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Fuzzy clustering of structured data: Some preliminary results.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
A Bayesian-Based Neural Network Model for Solar Photovoltaic Power Forecasting.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Compressive sampling and adaptive dictionary learning for the packet loss recovery in audio multimedia streaming.
Multim. Tools Appl., 2016

Packet loss recovery in audio multimedia streaming by using compressive sensing.
IET Commun., 2016

2015
Machine Learning-Based Web Documents Categorization by Semantic Graphs.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference.
Expert Syst. Appl., 2015

2014
TÉRA: A tool for the environmental risk assessment of genetically modified plants.
Ecol. Informatics, 2014

2013
Machine learning and soft computing for ICT security: an overview of current trends.
J. Ambient Intell. Humaniz. Comput., 2013

Compressive Sampling for the Packet Loss Recovery in Audio Multimedia Streaming.
CoRR, 2013

A Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs.
Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013

Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2013, 2013

2012
Machine Learning and Soft Computing Methodologies for Music Emotion Recognition.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

2011
Modeling and Generating Organ Pipes Self-Sustained Tones by Using ICA.
J. Signal Inf. Process., 2011

Comparison of Dispersion Models by Using Fuzzy Similarity Relations.
Proceedings of the AI*IA 2011: Artificial Intelligence Around Man and Beyond, 2011

2009
Independent Data Model Selection for Ensemble Dispersion Forecasting.
Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009

Uninorm Based Fuzzy Network for Tree Data Structures.
Proceedings of the Fuzzy Logic and Applications, 8th International Workshop, 2009

Statistical and Fuzzy Approaches for Atmospheric Boundary Layer Classification.
Proceedings of the AI*IA 2009: Emergent Perspectives in Artificial Intelligence, 2009

2008
Interactive data analysis and clustering of genomic data.
Neural Networks, 2008

Clustering and visualization approaches for human cell cycle gene expression data analysis.
Int. J. Approx. Reason., 2008

Single Channel Polyphonic Music Transcription.
Proceedings of the New Directions in Neural Networks, 2008

2007
The Genetic Development of Uninorm-Based Neurons.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

Clustering, Assessment and Validation: an application to gene expression data.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Neural Network Techniques for Proactive Password Checking.
IEEE Trans. Dependable Secur. Comput., 2006

ICA based identification of dynamical systems generating synthetic and real world time series.
Soft Comput., 2006

Fuzzy relational neural network.
Int. J. Approx. Reason., 2006

A multi-step approach to time series analysis and gene expression clustering.
Bioinform., 2006

2005
The genetic development of ordinal sums.
Fuzzy Sets Syst., 2005

NEC: A Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information.
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005

OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

NEC for Gene Expression Analysis.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Visualization, Clustering and Classification of Multidimensional Astronomical Data.
Proceedings of the Seventh International Workshop on Computer Architectures for Machine Perception (CAMP 2005), 2005

2004
Mining Yeast Gene Microarray Data with Latent Variable Models.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Ordinal sums by using genetic algorithms.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Neural networks for blind-source separation of Stromboli explosion quakes.
IEEE Trans. Neural Networks, 2003

Neural neZtworks in astronomy.
Neural Networks, 2003

Fuzzy Relational Neural Network for Data Analysis.
Proceedings of the Fuzzy Logic and Applications, 5th International Workshop, 2003

2002
Soft computing methodologies for data analysis.
PhD thesis, 2002

2001
Fuzzy Relations Neural Network: Some Preliminary Results.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

1999
Hybrid neural networks for frequency estimation of unevenly sampled data.
Proceedings of the International Joint Conference Neural Networks, 1999


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