On the Reliable Detection of Concept Drift from Streaming Unlabeled Data

31 March 2017

Papers citing "On the Reliable Detection of Concept Drift from Streaming Unlabeled Data"

49 / 49 papers shown

Title
Flexible and Efficient Drift Detection without Labels Nelvin Tan Yu-Ching Shih Dong Yang Amol Salunkhe 30 0 0 10 Jun 2025
Evolving Machine Learning: A Survey Ignacio Cabrera Martin Subhaditya Mukherjee Almas Baimagambetov Joaquin Vanschoren Nikolaos Polatidis VLM 259 0 0 23 May 2025
SUDS: A Strategy for Unsupervised Drift Sampling Christofer Fellicious Lorenz Wendlinger Mario Gancarski Jelena Mitrović Michael Granitzer 121 0 0 05 Nov 2024
Time to Retrain? Detecting Concept Drifts in Machine Learning Systems Tri Minh Triet Pham Karthikeyan Premkumar Mohamed Naili Jinqiu Yang AI4TS 52 0 0 11 Oct 2024
An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications Viacheslav Barkov Jonas Schmidinger Robin Gebbers Martin Atzmueller 85 1 0 18 Sep 2024
Drift Detection: Introducing Gaussian Split Detector Maxime Fuccellaro Laurent Simon A. Zemmari 50 0 0 14 May 2024
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction Anri Patron Ayush Prasad Hoang Phuc Hau Luu Kai Puolamaki 30 0 0 14 May 2024
How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection Rafiullah Omar Justus Bogner J. Leest Vincenzo Stoico Patricia Lago H. Muccini 86 2 0 30 Apr 2024
Expert-Driven Monitoring of Operational ML Models J. Leest C. Raibulet Ilias Gerostathopoulos Patricia Lago 57 0 0 22 Jan 2024
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees Verónica Álvarez Santiago Mazuelas Jose A. Lozano CLL 54 1 0 24 Oct 2023
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes Bardh Prenkaj Mario Villaizán-Vallelado Tobias Leemann Gjergji Kasneci 79 2 0 04 Aug 2023
Towards Practicable Sequential Shift Detectors Oliver Cobb A. V. Looveren 59 0 0 27 Jul 2023
Reliable and Interpretable Drift Detection in Streams of Short Texts Ella Rabinovich Matan Vetzler Samuel Ackerman Ateret Anaby-Tavor AI4TS 72 3 0 28 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 64 2 0 04 May 2023
Towards Computational Performance Engineering for Unsupervised Concept Drift Detection -- Complexities, Benchmarking, Performance Analysis Elias Werner Nishant Kumar Matthias Lieber Sunna Torge Stefan Gumhold W. Nagel 49 4 0 17 Apr 2023
Unsupervised Detection of Behavioural Drifts with Dynamic Clustering and Trajectory Analysis Bardh Prenkaj Paola Velardi 57 6 0 13 Feb 2023
Continual Learning for Predictive Maintenance: Overview and Challenges J. Hurtado Dario Salvati Rudy Semola Mattia Bosio Vincenzo Lomonaco 46 36 0 29 Jan 2023
Forgetful Forests: high performance learning data structures for streaming data under concept drift Zhehu Yuan Yinqi Sun Dennis Shasha 13 0 0 15 Dec 2022
Time-Aware Datasets are Adaptive Knowledgebases for the New Normal Abhijit Suprem Sanjyot Vaidya J. Ferreira C. Pu 58 2 0 22 Nov 2022
TensAIR: Real-Time Training of Neural Networks from Data-streams Mauro Dalle Lucca Tosi V. Venugopal Martin Theobald 45 1 0 18 Nov 2022
Change Detection for Local Explainability in Evolving Data Streams Johannes Haug Alexander Braun Stefan Zurn Gjergji Kasneci FAtt 40 10 0 06 Sep 2022
Frouros: A Python library for drift detection in machine learning systems Jaime Céspedes-Sisniega Álvaro López-García 52 2 0 14 Aug 2022
Detecting Concept Drift in the Presence of Sparsity -- A Case Study of Automated Change Risk Assessment System Vishwas Choudhary Binay Gupta Anirban Chatterjee Subhadip Paul Kunal Banerjee Vijay Srinivas Agneeswaran 67 2 0 27 Jul 2022
Gradual Domain Adaptation without Indexed Intermediate Domains Hong-You Chen Wei-Lun Chao CLL 119 40 0 11 Jul 2022
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams Johannes Haug Effi Tramountani Gjergji Kasneci 39 5 0 28 Apr 2022
Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking M. Kiran Le Thanh Nguyen-Meidine R. Sahay Rafael M. O. Cruz Louis-Antoine Blais-Morin Eric Granger 54 2 0 07 Mar 2022
Implicit Concept Drift Detection for Multi-label Data Streams E. Gulcan Fazli Can AI4TS 32 0 0 31 Jan 2022
A Broad Ensemble Learning System for Drifting Stream Classification Sepehr Bakhshi Pouya Ghahramanian Hamed Bonab Fazli Can 45 10 0 07 Oct 2021
Task-Sensitive Concept Drift Detector with Constraint Embedding Andrea Castellani Sebastian Schmitt Barbara Hammer 59 13 0 16 Aug 2021
Test for non-negligible adverse shifts Vathy M. Kamulete 77 4 0 07 Jul 2021
Detection of data drift and outliers affecting machine learning model performance over time Samuel Ackerman E. Farchi Orna Raz Marcel Zalmanovici Parijat Dube 64 42 0 16 Dec 2020
Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels Yiming Xu Diego Klabjan 44 7 0 08 Dec 2020
Learning Parameter Distributions to Detect Concept Drift in Data Streams Johannes Haug Gjergji Kasneci 45 21 0 19 Oct 2020
ODIN: Automated Drift Detection and Recovery in Video Analytics Abhijit Suprem Joy Arulraj C. Pu J. E. Ferreira 58 12 0 09 Sep 2020
Applying Incremental Deep Neural Networks-based Posture Recognition Model for Injury Risk Assessment in Construction Junqi Zhao E. Obonyo 18 2 0 04 Aug 2020
Sequential Drift Detection in Deep Learning Classifiers Samuel Ackerman Parijat Dube E. Farchi 36 8 0 31 Jul 2020
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring Zhihui Shao Jianyi Yang Shaolei Ren HILM 68 10 0 03 Jul 2020
Optimally Combining Classifiers for Semi-Supervised Learning Zhiguo Wang Liusha Yang Feng Yin Ke Lin Qingjiang Shi Zhi-Quan Luo 27 1 0 07 Jun 2020
Concept Drift Detection via Equal Intensity k-means Space Partitioning Anjin Liu Jie Lu Guangquan Zhang 85 66 0 24 Apr 2020
Understanding Self-Training for Gradual Domain Adaptation Ananya Kumar Tengyu Ma Percy Liang CLL TTA 98 231 0 26 Feb 2020
Estimating regression errors without ground truth values Henri Tiittanen Emilia Oikarinen A. Henelius Kai Puolamäki 17 1 0 09 Oct 2019
Concept Drift Detection and Adaptation with Weak Supervision on Streaming Unlabeled Data Abhijit Suprem AI4TS 36 3 0 02 Oct 2019
Online Semi-Supervised Concept Drift Detection with Density Estimation Chang How Tan V. C. Lee Mahsa Salehi 25 4 0 25 Sep 2019
Automatic Model Monitoring for Data Streams Fábio Pinto Marco O. P. Sampaio P. Bizarro AI4TS 63 20 0 12 Aug 2019
ML Health: Fitness Tracking for Production Models Sindhu Ghanta Sriram Subramanian L. Khermosh S. Sundararaman Harshil Shah Y. Goldberg D. Roselli Nisha Talagala 55 8 0 07 Feb 2019
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels Shujian Yu Xiaoyang Wang José C. Príncipe 46 40 0 25 Jun 2018
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning Tegjyot Singh Sethi M. Kantardzic Lingyu Lyu Jiashun Chen AAML 102 11 0 24 Mar 2018
Handling Adversarial Concept Drift in Streaming Data Tegjyot Singh Sethi M. Kantardzic 40 59 0 24 Mar 2018
Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing Shujian Yu Zubin Abraham Heng Wang Mohak Shah Yantao Wei José C. Príncipe 54 53 0 25 Jul 2017