Learning under Concept Drift: A Review

13 April 2020

Papers citing "Learning under Concept Drift: A Review"

50 / 340 papers shown

Title
Federated Learning Priorities Under the European Union Artificial Intelligence Act Herbert Woisetschläger Alexander Erben Bill Marino Shiqiang Wang Nicholas D. Lane R. Mayer Hans-Arno Jacobsen 74 15 0 05 Feb 2024
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies Hao Cheng Qingsong Wen Yang Liu Liang Sun OOD AI4TS 50 7 0 03 Feb 2024
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees I. Tyukin T. Tyukina Daniel van Helden Zedong Zheng Evgeny M. Mirkes Oliver J. Sutton Qinghua Zhou Alexander N. Gorban Penelope Allison 164 1 0 31 Jan 2024
McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions Lorena Poenaru-Olaru Luís Cruz Jan S. Rellermeyer A. V. Deursen 87 0 0 25 Jan 2024
Explaining Drift using Shapley Values N. Edakunni Utkarsh Tekriwal Anukriti Jain FAtt FedML 25 0 0 18 Jan 2024
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection Jinyang Liu Wen-Cheng Gu Zhuangbin Chen Yichen Li Yuxin Su Michael R. Lyu AI4TS 122 2 0 10 Jan 2024
On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors Xinshuai Dong Haoyue Dai Yewen Fan Songyao Jin Sathyamoorthy Rajendran Kun Zhang CML 78 1 0 28 Dec 2023
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 113 11 0 28 Dec 2023
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection Jiaqi Zhu Shaofeng Cai Fang Deng Bengchin Ooi Wenqiao Zhang 94 5 0 28 Dec 2023
Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in Large Language Models Nishant Vishwamitra Keyan Guo Farhan Tajwar Romit Isabelle Ondracek Long Cheng Ziming Zhao Hongxin Hu 70 15 0 22 Dec 2023
DSAP: Analyzing Bias Through Demographic Comparison of Datasets Iris Dominguez-Catena D. Paternain M. Galar 77 5 0 22 Dec 2023
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification Enshui Yu Jie Lu Bin Zhang Guangquan Zhang 63 21 0 17 Dec 2023
Quilt: Robust Data Segment Selection against Concept Drifts Minsu Kim Seonghyeon Hwang Steven Euijong Whang VLM 18 1 0 15 Dec 2023
Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4 Pei Yan Shunquan Tan Miaohui Wang Jiwu Huang 79 6 0 13 Dec 2023
A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams René Richard Nabil Belacel 44 0 0 12 Dec 2023
Adversarial Learning for Feature Shift Detection and Correction Míriam Barrabés D. M. Montserrat Margarita Geleta Xavier Giró-i-Nieto A. Ioannidis OOD 73 4 0 07 Dec 2023
Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment Gokul Puthumanaillam Xiangyu Liu Negar Mehr Melkior Ornik 66 5 0 06 Dec 2023
Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation Study Maxim Glebov Teddy Lazebnik Boris Orkin H. Berkenstadt S. Bunimovich-Mendrazitsky 24 1 0 02 Dec 2023
Streaming Bayesian Modeling for predicting Fat-Tailed Customer Lifetime Value Alexey V. Calabourdin Konstantin A. Aksenov 49 0 0 01 Dec 2023
Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects Cristina Tavares Nathalia Nascimento Paulo S. C. Alencar Donald D. Cowan 68 1 0 23 Nov 2023
Analyzing the Evolution and Maintenance of ML Models on Hugging Face Joel Castaño Martínez-Fernández Silverio Xavier Franch Justus Bogner 73 29 0 22 Nov 2023
Continuous Management of Machine Learning-Based Application Behavior M. Anisetti C. Ardagna Nicola Bena Ernesto Damiani Paolo G. Panero KELM 39 0 0 21 Nov 2023
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 85 4 0 21 Nov 2023
A Framework for Monitoring and Retraining Language Models in Real-World Applications Jaykumar Kasundra Claudia Schulz Melicaalsadat Mirsafian Stavroula Skylaki OffRL LRM 54 1 0 16 Nov 2023
Multimodal Learning of Soft Robot Dynamics using Differentiable Filters Xiao Liu Yifan Zhou Shuhei Ikemoto H. B. Amor 63 0 0 12 Nov 2023
A comprehensive analysis of concept drift locality in data streams Gabriel J. Aguiar Alberto Cano 52 9 0 10 Nov 2023
Machine learning's own Industrial Revolution Yuan Luo Song Han Jingjing Liu AI4CE 96 0 0 04 Nov 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 109 2 0 25 Oct 2023
One or Two Things We know about Concept Drift -- A Survey on Monitoring Evolving Environments Fabian Hinder Valerie Vaquet Barbara Hammer 71 11 0 24 Oct 2023
Test & Evaluation Best Practices for Machine Learning-Enabled Systems Jaganmohan Chandrasekaran Tyler Cody Nicola McCarthy Erin Lanus Laura J. Freeman 76 6 0 10 Oct 2023
Performative Time-Series Forecasting Zhiyuan Zhao Alexander Rodríguez B. Prakash B. A. Prakash AI4TS 82 5 0 09 Oct 2023
Balancing Efficiency vs. Effectiveness and Providing Missing Label Robustness in Multi-Label Stream Classification Sepehr Bakhshi Fazli Can 36 7 0 01 Oct 2023
AdaEvo: Edge-Assisted Continuous and Timely DNN Model Evolution for Mobile Devices Lehao Wang Zhiwen Yu Haoyi Yu Sicong Liu Yaxiong Xie Bin Guo Yunxin Liu 45 5 0 27 Sep 2023
Monitoring Machine Learning Models: Online Detection of Relevant Deviations Florian Heinrichs 52 3 0 26 Sep 2023
Online Active Learning For Sound Event Detection Mark Lindsey Ankit Shah Francis Kubala R. M. Stern 33 0 0 25 Sep 2023
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation Zekun Cai Renhe Jiang Xinyu Yang Zhaonan Wang Diansheng Guo Hiroki Kobayashi Xuan Song Ryosuke Shibasaki AI4TS 95 14 0 25 Sep 2023
Speeding-up Evolutionary Algorithms to solve Black-Box Optimization Problems J. Echevarrieta Etor Arza Aritz Pérez Martínez 39 4 0 23 Sep 2023
Efficient Concept Drift Handling for Batch Android Malware Detection Models Borja Molina-Coronado U. Mori A. Mendiburu J. Miguel-Alonso 45 8 0 18 Sep 2023
AIDPS:Adaptive Intrusion Detection and Prevention System for Underwater Acoustic Sensor Networks Soumadeep Das A. Pasikhani P. Gope John A. Clark Chintan Patel Biplab Sikdar 13 3 0 14 Sep 2023
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic Yuqi Qing Qilei Yin Xinhao Deng Yihao Chen Zhuotao Liu Kun Sun Ke Xu Jia Zhang Qi Li AAML 99 17 0 09 Sep 2023
Uncovering Drift in Textual Data: An Unsupervised Method for Detecting and Mitigating Drift in Machine Learning Models Saeed Khaki Akhouri Abhinav Aditya Zohar Karnin Lan Ma Olivia Pan S. M. Chandrashekar 22 1 0 07 Sep 2023
Streaming Active Learning for Regression Problems Using Regression via Classification Shota Horiguchi Kota Dohi Yohei Kawaguchi 38 1 0 02 Sep 2023
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams Yiqun Diao Yutong Yang Yue Liu Bin He Mian Lu 58 3 0 29 Aug 2023
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection? Andrea Corsini S. Yang OODD AAML 44 9 0 28 Aug 2023
On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report Anes Bendimerad Youcef Remil Romain Mathonat Mehdi Kaytoue 41 5 0 22 Aug 2023
A Time-aware tensor decomposition for tracking evolving patterns Christos Chatzis Max Pfeffer Pedro Lind E. Acar 31 2 0 14 Aug 2023
CBA: Improving Online Continual Learning via Continual Bias Adaptor Quanziang Wang Renzhen Wang Yichen Wu Xixi Jia Deyu Meng CLL 71 17 0 14 Aug 2023
Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods Gabriel R. Lencione F. J. Zuben 26 0 0 03 Aug 2023
Towards Practicable Sequential Shift Detectors Oliver Cobb A. V. Looveren 59 0 0 27 Jul 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 122 9 0 24 Jul 2023