Learning under Concept Drift: A Review

13 April 2020

Papers citing "Learning under Concept Drift: A Review"

50 / 340 papers shown

Title
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 91 0 0 28 Sep 2024
OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data Sebastian Wette Florian Heinrichs AI4TS 74 1 0 15 Sep 2024
Advanced Machine Learning Framework for Efficient Plant Disease Prediction Aswath Muthuselvam S. Sowdeshwar M. Saravanan S. K. Perepu 61 0 0 08 Sep 2024
Exploratory Visual Analysis for Increasing Data Readiness in Artificial Intelligence Projects Mattias Tiger Daniel Jakobsson Anders Ynnerman Fredrik Heintz Daniel Jonsson 53 0 0 05 Sep 2024
Detecting Interpretable Subgroup Drifts Flavio Giobergia Eliana Pastor Luca de Alfaro Elena Baralis 52 0 0 26 Aug 2024
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective Quanziang Wang Renzhen Wang Yichen Wu Xixi Jia Minghao Zhou Deyu Meng 82 1 0 26 Aug 2024
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance Thomas Decker Alexander Koebler Michael Lebacher Ingo Thon Volker Tresp Florian Buettner 79 1 0 24 Aug 2024
Towards flexible perception with visual memory Robert Geirhos P. Jaini Austin Stone Sourabh Medapati Xi Yi G. Toderici Abhijit Ogale Jonathon Shlens 74 1 0 15 Aug 2024
Spurious Correlations in Concept Drift: Can Explanatory Interaction Help? Cristiana Lalletti Stefano Teso 70 1 0 23 Jul 2024
Temporal Representation Learning for Stock Similarities and Its Applications in Investment Management Yoon-Jeong Hwang Stefan Zohren Yongjae Lee AIFin 73 1 0 18 Jul 2024
Overcoming Catastrophic Forgetting in Tabular Data Classification: A Pseudorehearsal-based approach Pablo García Santaclara Bruno Fernández Castro Rebeca P. Díaz Redondo LMTD 97 0 0 12 Jul 2024
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others Daniel Sikar Artur Garcez Robin Bloomfield Tillman Weyde Kaleem Peeroo Naman Singh Maeve Hutchinson Dany Laksono Mirela Reljan-Delaney 89 2 0 10 Jul 2024
AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency Maria Arostegi Miren Nekane Bilbao J. Lobo Javier Del Ser 29 1 0 07 Jul 2024
Online Drift Detection with Maximum Concept Discrepancy Ke Wan Yi Liang Susik Yoon 107 3 0 07 Jul 2024
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards Zhimin Zhao A. A. Bangash F. Côgo Bram Adams Ahmed E. Hassan 198 1 0 04 Jul 2024
Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time Salvatore Greco Bartolomeo Vacchetti D. Apiletti Tania Cerquitelli 46 2 0 24 Jun 2024
ICM Ensemble with Novel Betting Functions for Concept Drift Charalambos Eliades Harris Papadopoulos 31 0 0 22 Jun 2024
Online detection and infographic explanation of spam reviews with data drift adaptation Francisco de Arriba-Pérez Silvia García-Méndez Fátima Leal Benedita Malheiro J. C. Burguillo 46 0 0 21 Jun 2024
Concept Drift Visualization of SVM with Shifting Window H. Gâlmeanu Razvan Andonie AI4TS 20 2 0 19 Jun 2024
QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest Romina Yalovetzky Niraj Kumar Changhao Li Marco Pistoia 54 0 0 17 Jun 2024
Fault detection in propulsion motors in the presence of concept drift Martin Tveten Morten Stakkeland 129 0 0 12 Jun 2024
Continuous Temporal Domain Generalization Zekun Cai Guangji Bai Renhe Jiang Xuan Song Liang Zhao 82 5 0 25 May 2024
Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference Huaiguang Cai Zhi Zhou Qianyi Huang 62 4 0 25 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning Dario Fenoglio Gabriele Dominici Pietro Barbiero Alberto Tonda M. Gjoreski Marc Langheinrich FedML 76 0 0 24 May 2024
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift Nicolas Acevedo Carmen Cortez Christopher A. Brooks René F. Kizilcec Renzhe Yu 48 0 0 23 May 2024
A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data Feng Gu Jie Lu Zhen Fang Kun Wang Guangquan Zhang 60 0 0 23 May 2024
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards Xiaoyu Yang Jie Lu Enshui Yu VLM 110 7 0 22 May 2024
Drift Detection: Introducing Gaussian Split Detector Maxime Fuccellaro Laurent Simon A. Zemmari 43 0 0 14 May 2024
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction Anri Patron Ayush Prasad Hoang Phuc Hau Luu Kai Puolamaki 28 0 0 14 May 2024
Learning under Imitative Strategic Behavior with Unforeseeable Outcomes Tian Xie Zhiqun Zuo Mohammad Mahdi Khalili Xueru Zhang OffRL 83 3 0 03 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 73 2 0 30 Apr 2024
Feature graph construction with static features for malware detection Binghui Zou Chunjie Cao Longjuan Wang Yinan Cheng Jingzhang Sun 35 0 0 25 Apr 2024
Unsupervised Concept Drift Detection based on Parallel Activations of Neural Network Joanna Komorniczak Pawel Ksieniewicz 26 2 0 11 Apr 2024
A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling Yutian Ren Yuqi He Xuyin Zhang A. Yen G. P. Li 75 0 0 09 Apr 2024
Self-Labeling in Multivariate Causality and Quantification for Adaptive Machine Learning Yutian Ren A. Yen G. P. Li CML 124 0 0 08 Apr 2024
Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures Omran Ayoub Davide Andreoletti Aleksandra Knapiñska Ró.za Go'scieñ Piotr Lechowicz T. Leidi Silvia Giordano C. Rottondi Krzysztof Walkowiak 20 2 0 08 Apr 2024
Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis Rohit Agarwal Arijit Das Alexander Horsch Krishna Agarwal Dilip K. Prasad 58 2 0 07 Apr 2024
A Systems Theoretic Approach to Online Machine Learning Anli du Preez Peter A. Beling Tyler Cody 23 2 0 04 Apr 2024
Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification Kleanthis Malialis Jin Li C. Panayiotou Marios M. Polycarpou CLL AI4TS 68 1 0 03 Apr 2024
An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks Abdullah H Alqahtani AAML 30 0 0 01 Apr 2024
Thwarting Cybersecurity Attacks with Explainable Concept Drift I. Shaer Abdallah Shami AAML 61 3 0 18 Mar 2024
Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance ML Robustness Mohamed el Shehaby Aditya Kotha Ashraf Matrawy AAML 72 0 0 15 Mar 2024
Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition Xiaozhou Ye Kevin I-Kai Wang HAI 48 4 0 12 Mar 2024
Cross-user activity recognition using deep domain adaptation with temporal relation information Xiaozhou Ye Waleed H. Abdulla Nirmal Nair Kevin I-Kai Wang 65 2 0 12 Mar 2024
Cross-user activity recognition via temporal relation optimal transport Xiaozhou Ye Kevin I-Kai Wang 39 6 0 12 Mar 2024
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams Daniel Leite Alisson Silva Gabriella Casalino Arnab Sharma Danielle Fortunato A. Ngomo 26 2 0 26 Feb 2024
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes D. Yazdani Juergen Branke M. S. Khorshidi M. Omidvar Xiaodong Li Amir H. Gandomi Xin Yao 27 2 0 24 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 105 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 61 3 0 11 Feb 2024
Learning-augmented Online Algorithm for Two-level Ski-rental Problem Keyuan Zhang Zhongdong Liu Nakjung Choi Bo Ji 56 3 0 09 Feb 2024