:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mastriani, Emilio, Costa, Alessandro, Incardona, Federico, Munari, Kevin, Spinello, Sebastiano
Format:	Preprint
Published:	2025
Subjects:	Instrumentation and Methods for Astrophysics Machine Learning
Online Access:	https://arxiv.org/abs/2510.27146
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Predictive Maintenance Study for High-Pressure Industrial Compressors: Hybrid Clustering Models
by: Costa, Alessandro, et al.
Published: (2024)

Multivariate time-series forecasting of ASTRI-Horn monitoring data: A Normal Behavior Model
by: Incardona, Federico, et al.
Published: (2026)

Semantic Feature Segmentation for Interpretable Predictive Maintenance in Complex Systems
by: Mastriani, Emilio, et al.
Published: (2026)

Improving Anomaly Detection in Industrial Time Series: The Role of Segmentation and Heterogeneous Ensemble
by: Mastriani, Emilio, et al.
Published: (2025)

Segmentation over Complexity: Evaluating Ensemble and Hybrid Approaches for Anomaly Detection in Industrial Time Series
by: Mastriani, Emilio, et al.
Published: (2025)

Revealing Predictive Maintenance Strategies from Comprehensive Data Analysis of ASTRI-Horn Historical Monitoring Data
by: Incardona, Federico, et al.
Published: (2024)

Enhancing CTAO Monitoring and Alarm Subsystems in Distributed Environments Using ServiMon
by: Munari, Kevin, et al.
Published: (2025)

DISFI: Distributed Infrastructure Stress and Fault Injector
by: Mastriani Emilio, et al.
Published: (2026)

A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series
by: Gupta, Rithwik, et al.
Published: (2024)

In Search of the Unknown Unknowns: A Multi-Metric Distance Ensemble for Out of Distribution Anomaly Detection in Astronomical Surveys
by: Chaini, Siddharth, et al.
Published: (2025)

Pathway to Devasthal Astronomical Observatory, ARIES
by: Sagar, Ram, et al.
Published: (2023)

Simulation-Based Pretraining and Domain Adaptation for Astronomical Time Series with Minimal Labeled Data
by: Gupta, Rithwik, et al.
Published: (2025)

A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients
by: Gupta, Rithwik, et al.
Published: (2024)

Astronomical Test with CMOS on the 60-cm Telescope at the Xinglong Observatory, NAOC
by: Mu, Hai-Yang, et al.
Published: (2024)

NinjaSat: Astronomical X-ray CubeSat Observatory
by: Tamagawa, Toru, et al.
Published: (2024)

Understanding Exoplanet Habitability: A Bayesian ML Framework for Predicting Atmospheric Absorption Spectra
by: Trehan, Vasuda, et al.
Published: (2025)

Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory
by: Mitra, Ayan, et al.
Published: (2024)

Machine Learning Supports Existence of Previously Unrecognized Transient Astronomical Phenomena in Historical Observatory Images
by: Bruehl, Stephen, et al.
Published: (2026)

A Machine Learning-Ready Data Processing Tool for Near Real-Time Forecasting
by: Dayeh, Maher A, et al.
Published: (2025)

Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging
by: Liu, Shuhong, et al.
Published: (2026)

DeepTTV: Deep Learning Prediction of Hidden Exoplanet From Transit Timing Variations
by: Chen, Chen, et al.
Published: (2024)

Orbit Determination through Cosmic Microwave Background Radiation
by: de Albuquerque, Pedro K, et al.
Published: (2025)

Reinforcement Learning for Data-Driven Workflows in Radio Interferometry. I. Principal Demonstration in Calibration
by: Kirk, Brian M., et al.
Published: (2024)

The Clear Sky Corridor: Insights Towards Aerosol Formation in Exoplanets Using An AI-based Survey of Exoplanet Atmospheres
by: Ashtari, Reza, et al.
Published: (2024)

Learning What's Real: Disentangling Signal and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics
by: Mercader-Perez, Pablo, et al.
Published: (2026)

The GPU Phase Folding and Deep Learning Method for Detecting Exoplanet Transits
by: Wang, Kaitlyn, et al.
Published: (2023)

Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction with NightLANP
by: Chaini, Siddharth, et al.
Published: (2026)

Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions
by: Gilda, Sankalp
Published: (2023)

StreakMind: AI detection and analysis of satellite streaks in astronomical images with automated database integration
by: Navarro, Rafael Carrillo, et al.
Published: (2026)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification
by: Abduallah, Yasser, et al.
Published: (2024)

Archives of Photographic PLates for Astronomical USE (APPLAUSE) Digitisation of astronomical plates and their integration into the International Virtual Observatory
by: Enke, Harry, et al.
Published: (2024)

Astronomical Image Processing Benchmark Study for Various Telescope Aperture Shapes
by: Roychowdhury, Jyotika, et al.
Published: (2024)

DBNets: A publicly available deep learning tool to measure the masses of young planets in dusty protoplanetary discs
by: Ruzza, Alessandro, et al.
Published: (2024)

Classification of Transient Astronomical Object Light Curves Using LSTM Neural Networks
by: Fernandes, Guilherme Grancho D., et al.
Published: (2025)

The Simons Observatory: Alarms and Detector Quality Monitoring
by: Nguyen, David V., et al.
Published: (2024)

Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within $z < 1.4$ in the Hyper Supreme-Cam Wide Survey
by: Tian, Chuan, et al.
Published: (2025)

Astro-MoE: Mixture of Experts for Multiband Astronomical Time Series
by: Cádiz-Leyton, Martina, et al.
Published: (2025)

Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems
by: Barco, Gabriel Missael, et al.
Published: (2024)

GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning
by: Do, Tuan, et al.
Published: (2024)

Simons Observatory: Observatory Scheduler and Automated Data Processing
by: Guan, Yilun, et al.
Published: (2024)