:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tveten, Martin, Stakkeland, Morten
Format:	Preprint
Published:	2024
Subjects:	Applications Machine Learning
Online Access:	https://arxiv.org/abs/2406.08030
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Calibrating dimension reduction hyperparameters in the presence of noise
by: Lin, Justin, et al.
Published: (2023)

Anomaly detection using data depth: multivariate case
by: Mozharovskyi, Pavlo, et al.
Published: (2022)

Accurate and fast anomaly detection in industrial processes and IoT environments
by: Tonini, Simone, et al.
Published: (2024)

Pandemic model with data-driven phase detection, a study using COVID-19 data
by: Liu, Yuansan, et al.
Published: (2021)

An empirical comparison of some outlier detection methods with longitudinal data
by: D'Orazio, Marcello
Published: (2025)

Temporal cross-validation impacts multivariate time series subsequence anomaly detection evaluation
by: Hespeler, Steven C., et al.
Published: (2025)

Improving Geopolitical Forecasts with Bayesian Networks
by: Martin, Matthew
Published: (2026)

Online detection of forecast model inadequacies using forecast errors
by: Grundy, Thomas, et al.
Published: (2025)

Analysis of Line Break prediction models for detecting defensive breakthrough in football
by: Yagi, Shoma, et al.
Published: (2025)

Specific language impairment (SLI) detection pipeline from transcriptions of spontaneous narratives
by: Arena, Santiago, et al.
Published: (2024)

A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices
by: Mahdi, Esam, et al.
Published: (2025)

Context-Aware Automated Passenger Counting Data Denoising
by: Cherrier, Noëlie, et al.
Published: (2024)

Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression
by: Dandapanthula, Sanjit, et al.
Published: (2026)

On the Relation Between Autoencoders and Non-negative Matrix Factorization, and Their Application for Mutational Signature Extraction
by: Egendal, Ida, et al.
Published: (2024)

Offline detection of change-points in the mean for stationary graph signals
by: de la Concha, Alejandro, et al.
Published: (2020)

Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier
by: Quintero-Rincón, Antonio, et al.
Published: (2024)

Digital twin with automatic disturbance detection for real-time optimization of a semi-autogenous grinding (SAG) mill
by: Quintanilla, Paulina, et al.
Published: (2024)

Towards Gaussian processes modelling to study the late effects of radiotherapy in children and young adults with brain tumours
by: Davey, Angela, et al.
Published: (2025)

Features of the Earth's seasonal hydroclimate: Characterizations and comparisons across the Koppen-Geiger climates and across continents
by: Papacharalampous, Georgia, et al.
Published: (2022)

VAE-MS: An Asymmetric Variational Autoencoder for Mutational Signature Extraction
by: Egendal, Ida, et al.
Published: (2026)

Early detection of disease outbreaks and non-outbreaks using incidence data
by: Gao, Shan, et al.
Published: (2024)

A Bayesian Framework for Post-disruption Travel Time Prediction in Metro Networks
by: Nazemi, Shayan, et al.
Published: (2026)

Financial fraud detection system based on improved random forest and gradient boosting machine (GBM)
by: Hu, Tianzuo
Published: (2025)

Topological Data Analysis in smart manufacturing: State of the art and futuredirections
by: Uray, Martin, et al.
Published: (2023)

Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoring
by: Fiocchi, Filippo, et al.
Published: (2024)

Ensemble data assimilation to diagnose AI-based weather prediction model: A case with ClimaX version 0.3.1
by: Kotsuki, Shunji, et al.
Published: (2024)

Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement
by: McJames, Nathan, et al.
Published: (2024)

A Comprehensive Case Study on the Performance of Machine Learning Methods on the Classification of Solar Panel Electroluminescence Images
by: Song, Xinyi, et al.
Published: (2024)

Adaptive Online Experimental Design for Causal Discovery
by: Elahi, Muhammad Qasim, et al.
Published: (2024)

Conformal time series decomposition with component-wise exchangeability
by: Prinzhorn, Derck W. E., et al.
Published: (2024)

Towards Measuring Sell Side Outcomes in Buy Side Marketplace Experiments using In-Experiment Bipartite Graph
by: Pilkauskaitė, Vaiva, et al.
Published: (2024)

Ranking and Combining Latent Structured Predictive Scores without Labeled Data
by: Afshar, Shiva, et al.
Published: (2024)

An unified approach to link prediction in collaboration networks
by: Sosa, Juan, et al.
Published: (2024)

Variational Bayes Portfolio Construction
by: Nguyen, Nicolas, et al.
Published: (2024)

Machine learning-based probabilistic forecasting of solar irradiance in Chile
by: Baran, Sándor, et al.
Published: (2024)

AI-based Mapping of the Conservation Status of Orchid Assemblages at Global Scale
by: Estopinan, Joaquim, et al.
Published: (2024)

Intelligent Diagnosis of Alzheimer's Disease Based on Machine Learning
by: Li, Mingyang, et al.
Published: (2024)

Machine Learning-based Layer-wise Detection of Overheating Anomaly in LPBF using Photodiode Data
by: Hasan, Nazmul, et al.
Published: (2024)

Implicit Generative Prior for Bayesian Neural Networks
by: Liu, Yijia, et al.
Published: (2024)

Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning
by: Hu, Annie, et al.
Published: (2024)