基本信息
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个人简介
Areas of specialization :
Computational Intelligence, Machine Learning, Deep Learning, Signal Processing, Computer Vision, Data Mining, Bioinformatics, Data Analysis in Astrophysics, Geology and Biology
The main research interests of Angelo Ciaramella are Computational Intelligence, Machine Learning and Data Mining. In particular he is interested in statistical and Machine Learning approaches for Blind Source Separation, Sparse Coding, Compressive Sensing and Dictionary Learning, for signal processing (i.e., audio, images, video, streaming, astrophysical and geological) and feature extraction. Moreover, he has been working on fuzzy and neuro-fuzzy systems for structured and unstructured data. He is interested in developing Fuzzy Decision Support Systems in risk assessment. He also studied and developed new methodologies for pre-processing, clustering, visualization and assessment of biological, air quality and social network data (e.g., twitter). Recently, he is also interested in signal processing by using Deep Learning methodologies in Brain Computer Interfaces.
Computational Intelligence, Machine Learning, Deep Learning, Signal Processing, Computer Vision, Data Mining, Bioinformatics, Data Analysis in Astrophysics, Geology and Biology
The main research interests of Angelo Ciaramella are Computational Intelligence, Machine Learning and Data Mining. In particular he is interested in statistical and Machine Learning approaches for Blind Source Separation, Sparse Coding, Compressive Sensing and Dictionary Learning, for signal processing (i.e., audio, images, video, streaming, astrophysical and geological) and feature extraction. Moreover, he has been working on fuzzy and neuro-fuzzy systems for structured and unstructured data. He is interested in developing Fuzzy Decision Support Systems in risk assessment. He also studied and developed new methodologies for pre-processing, clustering, visualization and assessment of biological, air quality and social network data (e.g., twitter). Recently, he is also interested in signal processing by using Deep Learning methodologies in Brain Computer Interfaces.
研究兴趣
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IEEE/ACM International Conference on Human-Robot Interactionpp.397-401, (2024)
Proceedings of the 2nd Workshop on Workflows in Distributed Environments (2024)
Smart innovation, systems and technologiespp.147-156, (2023)
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2023 IEEE 19th International Conference on e-Science (e-Science)pp.1-9, (2023)
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2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)pp.xiv-xiv, (2023)
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Procedia Computer Science (2023): 326-338
Alessandro La Ferlita, Yan Qi,Emanuel Di Nardo, Karoline Moenster,Thomas E. Schellin,Ould EL Moctar, Christoph Rasewsky,Angelo Ciaramella
Journal of Marine Science and Engineeringno. 10 (2023): 1854-1854
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