Angelo Ciaramella

Professore Ordinario

Università degli Studi di Napoli Parthenope

Italy

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About

Angelo Ciaramella is a Professore Ordinario at Università degli Studi di Napoli Parthenope, Italy. His research interests encompass interpretable deep learning models, data-driven approaches for exoplanetary atmospheric feature extraction, and advanced numerical simulations. He has contributed to the development of artificial intelligence systems for video surveillance and the application of deep neural networks in geospatial analyses.

Articles (14)

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2025

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2021

Collaborators (14)

Salvatore Troisi

Parthenope University of Naples

ITALY

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Antonino Staiano

Associate Professor

Università degli Studi di Napoli Parthenope

ITALY

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Sara Bosi

Junior assistant professor (fixed-term)

University of Bologna

ITALY

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Emanuel Di Nardo

Assistant Professor

Parthenope University of Naples

ITALY

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Alessandra Rotundi

Parthenope University of Naples

ITALY

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Alberto Lanzoni

University of Bologna

ITALY

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Giuseppe Manco

Director of Research and group head

Consiglio Nazionale delle Ricerche

ITALY

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Thomas E. Schellin

GERMANY

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Livia Marcellino

associate professor

Università degli Studi di Napoli Parthenope

ITALY

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Gerardo Pappone

Full Professor

Università degli Studi di Napoli Parthenope

ITALY

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Francesco Camastra

Associate Professor

Parthenope University of Naples

ITALY

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Giovanni Covone

University of Naples Federico II

ITALY

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Sören Ehlers

Hamburg University of Technology

GERMANY

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ould el Moctar

Professor

Universität Duisburg-Essen

GERMANY

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Angelo Ciaramella

Research Interests

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About

Articles (14)

Detection of Exoplanets in Transit Light Curves with Conditional Flow Matching and XGBoost

AiWatch: A Distributed Video Surveillance System Using Artificial Intelligence and Digital Twins Technologies

Accelerated Numerical Simulations of a Reaction-Diffusion- Advection Model Using Julia-CUDA

A data-driven approach for extracting exoplanetary atmospheric features

Ante-Hoc Methods for Interpretable Deep Models: A Survey

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

A Data-Driven Model for Rapid CII Prediction

On the interpretability of fuzzy knowledge base systems

A Comparative Study to Estimate Fuel Consumption: A Simplified Physical Approach against a Data-Driven Model

A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodology

Power Prediction of a 15,000 TEU Containership: Deep-Learning Algorithm Compared to a Physical Model

Assessing the effects of Bt maize on the non-target pest Rhopalosiphum maidis by demographic and life-history measurement endpoints

Selymatra: A web application for protein‐profiling analysis of mass spectra

Subcellular Localization of uc.8+ as a Prognostic Biomarker in Bladder Cancer Tissue

Collaborators (14)

Salvatore Troisi

Antonino Staiano

Sara Bosi

Emanuel Di Nardo

Alessandra Rotundi

Alberto Lanzoni

Giuseppe Manco

Thomas E. Schellin

Livia Marcellino

Gerardo Pappone

Francesco Camastra

Giovanni Covone

Sören Ehlers

ould el Moctar

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