Scholar
Angelo Ciaramella
Google Scholar ID: 8TfWi0EAAAAJ
Full Professor - DiST - University of Naples "Parthenope"
Citations & Impact
Citations
1,048
H-index
16
i10-index
27
Publications
20
Co-authors
22
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published 'Subcellular Localization of uc.8+ as a Prognostic Biomarker in Bladder Cancer Tissue' in Cancers
- Published 'Adaptive One-Class Gaussian Processes Allow Accurate Prioritization of Oncology Drug Targets' in Bioinformatics
- Published 'Data Integration by Fuzzy Similarity-Based Hierarchical Clustering' in BMC Bioinformatics
- Multiple publications in PeerJ Computer Science on record linkage, class-specific feature selection, etc.
- Published research on predictive reliability of hospital cost analysis in Neural Computing and Applications
- Published work on clustering and visualization in gene microarray data in Algorithms
- Published spatio-temporal learning for ambient particulate matter prediction in Ecological Informatics
- Published compressive sensing approaches for audio packet loss recovery in Multimedia Tools and Applications and IET Communications
- Published fuzzy decision system for GMO environmental risk assessment using Mamdani inference in Expert Systems with Applications
Background
- Research interests include Computational Intelligence, Machine Learning, and Data Mining
- Focuses on statistical and machine learning approaches for Blind Source Separation, Sparse Coding, Compressive Sensing, and Dictionary Learning
- Applications in signal processing (audio, images, video, streaming, astrophysical, and geological data) and feature extraction
- Works on fuzzy and neuro-fuzzy systems for structured and unstructured data
- Develops Fuzzy Decision Support Systems for risk assessment
- Studies preprocessing, clustering, visualization, and assessment methods for biological, air quality, and social network data (e.g., Twitter)
- Recently interested in Deep Learning-based signal processing for Brain-Computer Interfaces
