Learning under Concept Drift: A Review

13 April 2020

Papers citing "Learning under Concept Drift: A Review"

50 / 340 papers shown

Title
Are Concept Drift Detectors Reliable Alarming Systems? -- A Comparative Study Lorena Poenaru-Olaru Luís Cruz Arie van Deursen Jan S. Rellermeyer 48 12 0 23 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
Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems using Lifelong Self-Adaptation Omid Gheibi Danny Weyns 41 3 0 04 Nov 2022
MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks Yuxuan Sun Bowen Xie Sheng Zhou Z. Niu 81 23 0 27 Oct 2022
Active Learning Framework to Automate NetworkTraffic Classification Jaroslav Pesek Dominik Soukup T. Čejka 64 1 0 26 Oct 2022
Class Distribution Monitoring for Concept Drift Detection Diego Stucchi Luca Frittoli Giacomo Boracchi 87 5 0 16 Oct 2022
Dirichlet process mixture models for non-stationary data streams Ioar Casado Aritz Pérez Martínez 29 0 0 13 Oct 2022
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data M. Kurmanji Peter Triantafillou OOD AAML 88 18 0 11 Oct 2022
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts Shubham Sharma Jette Henderson Joydeep Ghosh FedML MoE 48 5 0 10 Oct 2022
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification Kleanthis Malialis M. Roveri Cesare Alippi C. Panayiotou Marios M. Polycarpou AI4TS 61 9 0 10 Oct 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan O. Arik Rose Yu AI4TS 98 28 0 07 Oct 2022
A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems Li Yang Abdallah Shami 129 24 0 05 Oct 2022
Time-Varying Propensity Score to Bridge the Gap between the Past and Present Rasool Fakoor Jonas W. Mueller Zachary Chase Lipton Pratik Chaudhari Alexander J. Smola OOD AI4TS 94 3 0 04 Oct 2022
Nonstationary data stream classification with online active learning and siamese neural networks Kleanthis Malialis C. Panayiotou Marios M. Polycarpou 57 31 0 03 Oct 2022
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective Li Yang Abdallah Shami 69 55 0 16 Sep 2022
Statistical process monitoring of artificial neural networks A. Malinovskaya Pavlo Mozharovskyi Philipp Otto 39 8 0 15 Sep 2022
Extending Open Bandit Pipeline to Simulate Industry Challenges Bram van den Akker N. Weber Felipe Moraes Dmitri Goldenberg OffRL 46 1 0 09 Sep 2022
Mimose: An Input-Aware Checkpointing Planner for Efficient Training on GPU Jian-He Liao Mingzhen Li Qingxiao Sun Jiwei Hao F. Yu ... Ye Tao Zicheng Zhang Hailong Yang Zhongzhi Luan D. Qian 71 4 0 06 Sep 2022
Generalization in Neural Networks: A Broad Survey Chris Rohlfs OOD AI4CE 67 7 0 04 Sep 2022
A Method for Discovering Novel Classes in Tabular Data Colin Troisemaine Joachim Flocon-Cholet Stéphane Gosselin Sandrine Vaton Alexandre Reiffers-Masson V. Lemaire 64 6 0 02 Sep 2022
Nonparametric and Online Change Detection in Multivariate Datastreams using QuantTree Luca Frittoli Diego Carrera Giacomo Boracchi 42 6 0 30 Aug 2022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies Adam Thelen Xiaoge Zhang Olga Fink Yan Lu Sayan Ghosh B. Youn Michael D. Todd S. Mahadevan Chao Hu Zhen Hu SyDa AI4CE 92 207 0 26 Aug 2022
KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution Fangquan Lin Wei Jiang Han Zhang Cheng Yang 36 2 0 18 Aug 2022
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training Jie You Jaehoon Chung Mosharaf Chowdhury 80 82 0 12 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 54 2 0 27 Jul 2022
Time Series Prediction under Distribution Shift using Differentiable Forgetting Stefanos Bennett J. Clarkson OOD AI4TS 28 4 0 23 Jul 2022
Lightweight Automated Feature Monitoring for Data Streams J. Conde Ricardo Moreira Joao Torres Pedro Cardoso Hugo Ferreira Marco O. P. Sampaio João Tiago Ascensão P. Bizarro 133 0 0 18 Jul 2022
K-ARMA Models for Clustering Time Series Data Derek O. Hoare David S. Matteson M. Wells AI4TS 16 1 0 30 Jun 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 88 18 0 29 Jun 2022
SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting A. Nadeem S. Verwer AI4TS 13 2 0 24 Jun 2022
The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemic Keith Harrigian Mark Dredze 70 5 0 22 Jun 2022
Diagnostic Tool for Out-of-Sample Model Evaluation Ludvig Hult Dave Zachariah Petre Stoica 42 1 0 22 Jun 2022
Learn to Adapt: Robust Drift Detection in Security Domain Aditya Kuppa Nhien-An Le-Khac OOD 50 18 0 15 Jun 2022
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream Susik Yoon Youngjun Lee Jae-Gil Lee Byung Suk Lee 57 25 0 09 Jun 2022
Federated Learning under Distributed Concept Drift Ellango Jothimurugesan Kevin Hsieh Jianyu Wang Gauri Joshi Phillip B. Gibbons FedML 106 50 0 01 Jun 2022
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift Vincent Jeanselme G. Martin Niels Peek M. Sperrin Brian D. M. Tom Jessica Barrett OOD 57 4 0 26 May 2022
Towards a Fair Comparison and Realistic Evaluation Framework of Android Malware Detectors based on Static Analysis and Machine Learning Borja Molina-Coronado U. Mori A. Mendiburu J. Miguel-Alonso AAML 75 34 0 25 May 2022
Precise Change Point Detection using Spectral Drift Detection Fabian Hinder André Artelt Valerie Vaquet Barbara Hammer 13 0 0 13 May 2022
Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs G. Felhi Joseph Le Roux Djamé Seddah DRL 54 2 0 12 May 2022
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams Johannes Haug Effi Tramountani Gjergji Kasneci 35 5 0 28 Apr 2022
Online Deep Learning from Doubly-Streaming Data H. Lian John Scovil Atwood Bo-Jian Hou Jian Wu Yi He 47 11 0 25 Apr 2022
The Silent Problem -- Machine Learning Model Failure -- How to Diagnose and Fix Ailing Machine Learning Models Michele Bennett J. Balusu K. Hayes Ewa J. Kleczyk, PhD OOD 21 0 0 21 Apr 2022
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework Gabriel J. Aguiar Bartosz Krawczyk Alberto Cano AI4TS 95 99 0 07 Apr 2022
On the Adaptation to Concept Drift for CTR Prediction Congcong Liu Yuejiang Li Fei Teng Xiwei Zhao Changping Peng Zhangang Lin Jinghe Hu Jingping Shao 24 2 0 01 Apr 2022
Dynamic Model Tree for Interpretable Data Stream Learning Johannes Haug Klaus Broelemann Gjergji Kasneci 102 7 0 30 Mar 2022
From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors Firas Bayram Bestoun S. Ahmed A. Kassler 60 225 0 21 Mar 2022
Class-wise Classifier Design Capable of Continual Learning using Adaptive Resonance Theory-based Topological Clustering Naoki Masuyama Itsuki Tsubota Yusuke Nojima H. Ishibuchi CLL 23 2 0 18 Mar 2022
Context-Aware Drift Detection Oliver Cobb A. V. Looveren 63 18 0 16 Mar 2022
Autoregressive based Drift Detection Method M. Z. A. Mayaki M. Riveill 44 4 0 09 Mar 2022
Addressing Gap between Training Data and Deployed Environment by On-Device Learning Kazuki Sunaga Masaaki Kondo Hiroki Matsutani 40 8 0 02 Mar 2022