:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lara, Juan A., Lizcano, David, Rampérez, Víctor, Soriano, Javier
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2510.23136
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FLAS: a combination of proactive and reactive auto-scaling architecture for distributed services
by: Rampérez, Víctor, et al.
Published: (2025)

From SLA to vendor-neutral metrics: An intelligent knowledge-based approach for multi-cloud SLA-based broker
by: Rampérez, Víctor, et al.
Published: (2025)

Detecting outliers by clustering algorithms
by: Li, Qi, et al.
Published: (2024)

Robust fuzzy clustering for high-dimensional multivariate time series with outlier detection
by: Ma, Ziling, et al.
Published: (2025)

On the use of information fusion techniques to improve information quality: Taxonomy, opportunities and challenges
by: Gutiérrez, Raúl, et al.
Published: (2025)

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

Conditional outlier detection for clinical alerting
by: Hauskrecht, Milos, et al.
Published: (2026)

Feature Explosion: a generic optimization strategy for outlier detection algorithms
by: Li, Qi
Published: (2025)

A novel robust meta-analysis model using the $t$ distribution for outlier accommodation and detection
by: Wang, Yue, et al.
Published: (2024)

Unsupervised outlier detection to improve bird audio dataset labels
by: Collins, Bruce
Published: (2025)

Robustness and accuracy of mean opinion scores with hard and soft outlier detection
by: Saupe, Dietmar, et al.
Published: (2025)

Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough sets
by: Chen, Baiyang, et al.
Published: (2025)

A visual big data system for the prediction of weather-related variables: Jordan-Spain case study
by: Aljawarneh, Shadi, et al.
Published: (2025)

Score-based change point detection via tracking the best of infinitely many experts
by: Markovich, Anna, et al.
Published: (2024)

Temporal distribution of clusters of investors and their application in prediction with expert advice
by: Wisniewski, Wojciech, et al.
Published: (2024)

Effects of label noise on the classification of outlier observations
by: de Farias, Matheus Vinícius Barreto, et al.
Published: (2025)

Fisher meets Feynman: score-based variational inference with a product of experts
by: Cai, Diana, et al.
Published: (2025)

Anomaly detection using Diffusion-based methods
by: Bhosale, Aryan, et al.
Published: (2024)

Dimensionality-induced information loss of outliers in deep neural networks
by: Uematsu, Kazuki, et al.
Published: (2024)

Multivariate outlier explanations using Shapley values and Mahalanobis distances
by: Mayrhofer, Marcus, et al.
Published: (2022)

Multi-criteria Rank-based Aggregation for Explainable AI
by: Chatterjee, Sujoy, et al.
Published: (2025)

Flexi-Fuzz least squares SVM for Alzheimer's diagnosis: Tackling noise, outliers, and class imbalance
by: Akhtar, Mushir, et al.
Published: (2024)

ClusterTabNet: Supervised clustering method for table detection and table structure recognition
by: Polewczyk, Marek, et al.
Published: (2024)

Scaling convolutional neural networks achieves expert-level seizure detection in neonatal EEG
by: Hogan, Robert, et al.
Published: (2024)

Sparse outlier-robust PCA for multi-source data
by: Puchhammer, Patricia, et al.
Published: (2024)

Mixture of partially linear experts
by: Hwang, Yeongsan, et al.
Published: (2024)

Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing
by: Aryal, Sunil, et al.
Published: (2024)

Lexicographic optimization-based approaches to learning a representative model for multi-criteria sorting with non-monotonic criteria
by: Zhang, Zhen, et al.
Published: (2024)

An inexact LPA for DC composite optimization and application to matrix completions with outliers
by: Tao, Ting, et al.
Published: (2023)

Interpretable neural network system identification method for two families of second-order systems based on characteristic curves
by: Gonzalez, Federico J., et al.
Published: (2025)

Splitting criteria for ordinal decision trees: an experimental study
by: Ayllón-Gavilán, Rafael, et al.
Published: (2024)

Benchmarking noisy label detection methods
by: Pickler, Henrique, et al.
Published: (2025)

Active clustering with bandit feedback
by: Thuot, Victor, et al.
Published: (2024)

An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer
by: Shahriyar, Omid, et al.
Published: (2025)

Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model
by: Li, Qi, et al.
Published: (2026)

Attention-based clustering
by: Maulen-Soto, Rodrigo, et al.
Published: (2025)

Are LLM-based methods good enough for detecting unfair terms of service?
by: Frasheri, Mirgita, et al.
Published: (2024)

Causal explanations of outliers in systems with lagged time-dependencies
by: Schwarz, Philipp Alexander, et al.
Published: (2026)

Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise
by: Cheng, Xiuyuan, et al.
Published: (2022)

A comparative analysis of rank aggregation methods for the partial label ranking problem
by: Wang, Jiayi, et al.
Published: (2025)