Cover Image

Pitfalls of Unlabeled Disagreement-Based Drift Detection in Streaming Tree Ensembles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Neves, Lara Sá, Lourenço, Afonso, John, Lizy K., Marreiros, Goreti
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online hierarchical partitioning of the output space in extreme multi-label data stream
by: Neves, Lara, et al.
Published: (2025)

DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices
by: Lourenço, Afonso, et al.
Published: (2025)

Boosting-inspired online learning with transfer for railway maintenance
by: Risca, Diogo, et al.
Published: (2025)

Continual learning for rotating machinery fault diagnosis with cross-domain environmental and operational variations
by: Risca, Diogo, et al.
Published: (2025)

Explainable Anomaly Detection for Industrial IoT Data Streams
by: Paupério, Ana Rita, et al.
Published: (2025)

Bridging Streaming Continual Learning via In-Context Large Tabular Models
by: Lourenço, Afonso, et al.
Published: (2025)

In-context Learning of Evolving Data Streams with Tabular Foundational Models
by: Lourenço, Afonso, et al.
Published: (2025)

Axle Sensor Fusion for Online Continual Wheel Fault Detection in Wayside Railway Monitoring
by: Lourenço, Afonso, et al.
Published: (2026)

On-device edge learning for IoT data streams: a survey
by: Lourenço, Afonso, et al.
Published: (2025)

Resilient Class-Incremental Learning: on the Interplay of Drifting, Unlabelled and Imbalanced Data Streams
by: Li, Jin, et al.
Published: (2026)

Concept Drift Detection using Ensemble of Integrally Private Models
by: Varshney, Ayush K., et al.
Published: (2024)

ROSFD: Robust Online Streaming Fraud Detection with Resilience to Concept Drift in Data Streams
by: Yelleti, Vivek
Published: (2025)

Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
by: Takahashi, Hiroshi, et al.
Published: (2024)

DiscoUQ: Structured Disagreement Analysis for Uncertainty Quantification in LLM Agent Ensembles
by: Jiang, Bo
Published: (2026)

Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification
by: Malialis, Kleanthis, et al.
Published: (2024)

Binary Anomaly Detection in Streaming IoT Traffic under Concept Drift
by: Carnier, Rodrigo Matos, et al.
Published: (2025)

CaDrift: A Time-dependent Causal Generator of Drifting Data Streams
by: Barboza, Eduardo V. L., et al.
Published: (2026)

ICM Ensemble with Novel Betting Functions for Concept Drift
by: Eliades, Charalambos, et al.
Published: (2024)

Drift-Aware Variational Autoencoder-based Anomaly Detection with Two-level Ensembling
by: Li, Jin, et al.
Published: (2026)

Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
by: Gower-Winter, Brandon, et al.
Published: (2024)

Open World Autoencoding Drift Detection with Novel Class Recognition in Tabular Non-stationary Data Streams
by: Komorniczak, Joanna
Published: (2026)

Methods for Generating Drift in Text Streams
by: Garcia, Cristiano Mesquita, et al.
Published: (2024)

On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation
by: Yu, Bing, et al.
Published: (2020)

From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection
by: Dar, Ugur, et al.
Published: (2024)

TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization
by: Zhong, Yuan-Ting, et al.
Published: (2025)

StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data
by: Chaves, Anderson, et al.
Published: (2024)

Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning
by: Das, Shubhomoy, et al.
Published: (2019)

How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
by: Du, Xuefeng, et al.
Published: (2024)

Bayesian Active Learning By Distribution Disagreement
by: Werner, Thorben, et al.
Published: (2025)

On the Bayes Inconsistency of Disagreement Discrepancy Surrogates
by: Marchant, Neil G., et al.
Published: (2025)

Decision Tree Based Wrappers for Hearing Loss
by: Rabuge, Miguel, et al.
Published: (2025)

Learn How to Query from Unlabeled Data Streams in Federated Learning
by: Sun, Yuchang, et al.
Published: (2024)

Adversarial Attacks for Drift Detection
by: Hinder, Fabian, et al.
Published: (2024)

Detecting Interpretable Subgroup Drifts
by: Giobergia, Flavio, et al.
Published: (2024)

Interpretable Model Drift Detection
by: Panda, Pranoy, et al.
Published: (2025)

DriftGAN: Using historical data for Unsupervised Recurring Drift Detection
by: Fellicious, Christofer, et al.
Published: (2024)

AdaRank: Disagreement Based Module Rank Prediction for Low-rank Adaptation
by: Dong, Yihe
Published: (2024)

Temporal Analysis of Drifting Hashtags in Textual Data Streams: A Graph-Based Application
by: Garcia, Cristiano M., et al.
Published: (2024)

Autonomous Drift Learning in Data Streams: A Unified Perspective
by: Yang, Xiaoyu, et al.
Published: (2026)

Robust Outlier Detection and Low-Latency Concept Drift Adaptation for Data Stream Regression: A Dual-Channel Architecture
by: Wang, Bingbing, et al.
Published: (2025)