From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors

21 March 2022

Papers citing "From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors"

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Title
Role and Use of Race in AI/ML Models Related to Health Martin C. Were Ang Li Bradley Malin Zhijun Yin Joseph R. Coco ... Laurie L. Novak Rachele Hendricks-Sturrup Abiodun Oluyomi Shilo Anders Chao Yan 38 0 0 01 Apr 2025
Staying Alive: Online Neural Network Maintenance and Systemic Drift Joshua Edward Hammond Tyler Soderstrom Brian A. Korgel Michael Baldea 48 0 0 22 Mar 2025
AutoML for Multi-Class Anomaly Compensation of Sensor Drift Melanie Schaller Mathis Kruse Antonio Ortega Marius Lindauer Bodo Rosenhahn 47 1 0 26 Feb 2025
Sequential Harmful Shift Detection Without Labels Salim I. Amoukou Tom Bewley Saumitra Mishra Freddy Lecue Daniele Magazzeni Manuela Veloso 90 1 0 17 Dec 2024
Pulling the Carpet Below the Learner's Feet: Genetic Algorithm To Learn Ensemble Machine Learning Model During Concept Drift Teddy Lazebnik 79 1 0 12 Dec 2024
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments Paulius Rauba Nabeel Seedat Krzysztof Kacprzyk M. Schaar AI4CE 56 1 0 31 Oct 2024
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach Firas Bayram Bestoun S. Ahmed OOD 41 1 0 28 Oct 2024
Time to Retrain? Detecting Concept Drifts in Machine Learning Systems Tri Minh Triet Pham Karthikeyan Premkumar Mohamed Naili Jinqiu Yang AI4TS 23 0 0 11 Oct 2024
Regression Conformal Prediction under Bias Matt Y. Cheung Tucker J. Netherton Laurence Court Ashok Veeraraghavan Guha Balakrishnan 28 0 0 07 Oct 2024
Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework Theofanis Ganitidis M. Athanasiou Konstantinos Mitsis K. Zarkogianni Konstantina S. Nikita 18 0 0 28 Sep 2024
Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems Altaf Allah Abbassi Houssem Ben Braiek Foutse Khomh Thomas Reid 28 0 0 13 Sep 2024
Detecting Interpretable Subgroup Drifts F. Giobergia Eliana Pastor Luca de Alfaro Elena Baralis 18 0 0 26 Aug 2024
Towards flexible perception with visual memory Robert Geirhos P. Jaini Austin Stone Sourabh Medapati Xi Yi G. Toderici Abhijit Ogale Jonathon Shlens 42 1 0 15 Aug 2024
Operational range bounding of spectroscopy models with anomaly detection Luís F. Simoes Pierluigi Casale Marília Felismino K. H. Yip Ingo P. Waldmann Giovanna Tinetti T. Lueftinger 23 0 0 05 Aug 2024
Online Drift Detection with Maximum Concept Discrepancy Ke Wan Yi Liang Susik Yoon 38 1 0 07 Jul 2024
Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time Salvatore Greco Bartolomeo Vacchetti D. Apiletti Tania Cerquitelli 23 1 0 24 Jun 2024
AI Risk Management Should Incorporate Both Safety and Security Xiangyu Qi Yangsibo Huang Yi Zeng Edoardo Debenedetti Jonas Geiping ... Chaowei Xiao Bo-wen Li Dawn Song Peter Henderson Prateek Mittal AAML 51 11 0 29 May 2024
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift Nicolas Acevedo Carmen Cortez Christopher A. Brooks René F. Kizilcec Renzhe Yu 29 0 0 23 May 2024
Open-Source Drift Detection Tools in Action: Insights from Two Use Cases Rieke Müller Mohamed Abdelaal Davor Stjelja 26 1 0 29 Apr 2024
Measurement Uncertainty: Relating the uncertainties of physical and virtual measurements Simon Cramer Tobias Müller Robert H. Schmitt 32 2 0 21 Feb 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 51 2 0 20 Feb 2024
Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models Samiha Mirza Vuong D. Nguyen Pranav Mantini Shishir K. Shah VLM 32 1 0 11 Feb 2024
McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions Lorena Poenaru-Olaru Luís Cruz Jan S. Rellermeyer A. V. Deursen 25 0 0 25 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects Pratibha Kumari Joohi Chauhan Afshin Bozorgpour Boqiang Huang Reza Azad Dorit Merhof 60 11 0 28 Dec 2023
DSAP: Analyzing Bias Through Demographic Comparison of Datasets Iris Dominguez-Catena D. Paternain M. Galar 35 4 0 22 Dec 2023
Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World Lorena Poenaru-Olaru Natalia Karpova Luís Cruz Jan S. Rellermeyer A. van Deursen 26 2 0 17 Nov 2023
A Framework for Monitoring and Retraining Language Models in Real-World Applications Jaykumar Kasundra Claudia Schulz Melicaalsadat Mirsafian Stavroula Skylaki OffRL LRM 34 1 0 16 Nov 2023
5G Positioning Advancements with AI/ML Mohammad Alawieh Georgios Kontes 10 4 0 10 Nov 2023
Test & Evaluation Best Practices for Machine Learning-Enabled Systems Jaganmohan Chandrasekaran Tyler Cody Nicola McCarthy Erin Lanus Laura J. Freeman 40 5 0 10 Oct 2023
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting Elin Törnquist Wagner Costa Santos Timothy C. Pogue Nicholas Wingle R. Caulk AI4TS 26 0 0 26 Sep 2023
Efficient Concept Drift Handling for Batch Android Malware Detection Models Borja Molina-Coronado U. Mori A. Mendiburu J. Miguel-Alonso 19 6 0 18 Sep 2023
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks Dustin Aganian Mona Köhler Sebastian Baake M. Eisenbach H. Groß 45 7 0 09 Jun 2023
Changing Data Sources in the Age of Machine Learning for Official Statistics Cedric De Boom Michael Reusens 24 1 0 07 Jun 2023
OPTWIN: Drift identification with optimal sub-windows Mauro Dalle Lucca Tosi Martin Theobald 33 1 0 19 May 2023
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks Firas Bayram Phil Aupke Bestoun S. Ahmed A. Kassler A. Theocharis Jonas Forsman AI4TS 16 33 0 15 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 32 2 0 04 May 2023
A Domain-Region Based Evaluation of ML Performance Robustness to Covariate Shift Firas Bayram Bestoun S. Ahmed OOD 18 4 0 18 Apr 2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts Thomas Wong Mauricio Barahona OOD AIFin AI4TS 23 0 0 14 Mar 2023
Boosting classification reliability of NLP transformer models in the long run Zoltán Kmetty Bence Kollányi Krisztián Boros 19 3 0 20 Feb 2023
An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications Hans-Martin Heyn E. Knauss Iswarya Malleswaran Shruthi Dinakaran 32 4 0 31 Jan 2023
Are Concept Drift Detectors Reliable Alarming Systems? -- A Comparative Study Lorena Poenaru-Olaru Luís Cruz A. van Deursen Jan S. Rellermeyer 20 10 0 23 Nov 2022
Quality Assurance in MLOps Setting: An Industrial Perspective Ayan Chatterjee Bestoun S. Ahmed Erik Hallin Anton Engman 25 2 0 23 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 32 12 0 09 Nov 2022
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework Ioannis Mavromatis Aftab Khan 40 5 0 03 Nov 2022
Generalization in Neural Networks: A Broad Survey Chris Rohlfs OOD AI4CE 21 6 0 04 Sep 2022
Frouros: A Python library for drift detection in machine learning systems Jaime Céspedes-Sisniega Álvaro López-García 16 1 0 14 Aug 2022
Learn to Adapt: Robust Drift Detection in Security Domain Aditya Kuppa Nhien-An Le-Khac OOD 33 15 0 15 Jun 2022
Continual Developmental Neurosimulation Using Embodied Computational Agents Bradly Alicea Rishabh Chakrabarty Stefan Dvoretskii Akshara Gopi A. Lim Jesse Parent 23 1 0 07 Mar 2021
Concept Drift Learning with Alternating Learners Yunwen Xu Rui Xu Weizhong Yan Paul Ardis 24 12 0 18 Oct 2017
McDiarmid Drift Detection Methods for Evolving Data Streams Ali Pesaranghader H. Viktor E. Paquet 56 63 0 05 Oct 2017