Reactive Soft Prototype Computing for Concept Drift Streams

10 July 2020

Papers citing "Reactive Soft Prototype Computing for Concept Drift Streams"

31 / 31 papers shown

Title
When to retrain a machine learning model Regol Florence Schwinn Leo Sprague Kyle Coates Mark Markovich Thomas OffRL 56 0 0 20 May 2025
Interpretable Model Drift Detection Pranoy Panda Kancheti Sai Srinivas V. Balasubramanian Gaurav Sinha 212 1 0 09 Mar 2025
datadriftR: An R Package for Concept Drift Detection in Predictive Models Ugur Dar Mustafa Cavus 151 0 0 15 Dec 2024
Early Concept Drift Detection via Prediction Uncertainty Pengqian Lu Jie Lu Anjin Liu G. Zhang 100 3 0 15 Dec 2024
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams Brandon Gower-Winter Georg Krempl Sergey Dragomiretskiy Tineke Jelsma Arno Siebes 185 0 0 13 Dec 2024
FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments Ioannis Mavromatis Stefano De Feo Aftab Khan 18 0 0 02 Oct 2024
A method to benchmark high-dimensional process drift detection Edgar Wolf Tobias Windisch AI4TS 71 0 0 05 Sep 2024
Detecting Interpretable Subgroup Drifts Flavio Giobergia Eliana Pastor Luca de Alfaro Elena Baralis 57 0 0 26 Aug 2024
Online Drift Detection with Maximum Concept Discrepancy Ke Wan Yi Liang Susik Yoon 107 3 0 07 Jul 2024
Drift Detection: Introducing Gaussian Split Detector Maxime Fuccellaro Laurent Simon A. Zemmari 50 0 0 14 May 2024
Streaming detection of significant delay changes in public transport systems Przemyslaw Wrona Maciej Grzenda Marcin Luckner 26 0 0 11 Apr 2024
An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks Abdullah H Alqahtani AAML 35 0 0 01 Apr 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 110 2 0 20 Feb 2024
Concept Drift Adaptation in Text Stream Mining Settings: A Comprehensive Review C. M. Garcia Ramon Simoes Abilio A. L. Koerich A. Britto J. P. Barddal AI4TS 90 5 0 05 Dec 2023
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams Anton Winter Nicolas Jourdan Tristan Wirth Volker Knauthe Arjan Kuijper 38 1 0 22 Nov 2023
A comprehensive analysis of concept drift locality in data streams Gabriel J. Aguiar Alberto Cano 52 9 0 10 Nov 2023
One or Two Things We know about Concept Drift -- A Survey on Monitoring Evolving Environments Fabian Hinder Valerie Vaquet Barbara Hammer 80 11 0 24 Oct 2023
Cost-Effective Retraining of Machine Learning Models Ananth Mahadevan M. Mathioudakis 24 3 0 06 Oct 2023
Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics Pengmiao Zhang Rajgopal Kannan Viktor K. Prasanna 47 4 0 10 Dec 2022
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices Ioannis Mavromatis Adrián Sánchez-Mompó Francesco Raimondo James Pope Marcello Bullo ... Vijay S. Kumar P. Carnelli G. Oikonomou Theodoros Spyridopoulos Aftab Khan 89 6 0 03 Nov 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
Fast & Furious: Modelling Malware Detection as Evolving Data Streams Fabrício Ceschin Marcus Botacin Heitor Murilo Gomes Felipe Pinagé Luiz S. Oliveira André Grégio AAML 25 19 0 24 May 2022
Precise Change Point Detection using Spectral Drift Detection Fabian Hinder André Artelt Valerie Vaquet Barbara Hammer 18 0 0 13 May 2022
Autoregressive based Drift Detection Method M. Z. A. Mayaki M. Riveill 44 4 0 09 Mar 2022
Implicit Concept Drift Detection for Multi-label Data Streams E. Gulcan Fazli Can AI4TS 34 0 0 31 Jan 2022
LEAF: Navigating Concept Drift in Cellular Networks Shinan Liu F. Bronzino Paul Schmitt A. Bhagoji Nick Feamster Héctor García Crespo Timothy T Coyle Brian Ward 76 12 0 07 Sep 2021
Detecting Concept Drift With Neural Network Model Uncertainty Lucas Baier Tim Schlör Jakob Schöffer Niklas Kühl 68 28 0 05 Jul 2021
Domain Specific Concept Drift Detectors for Predicting Financial Time Series F. Neri AI4TS 23 4 0 22 Mar 2021
River: machine learning for streaming data in Python Jacob Montiel Max Halford S. Mastelini Geoffrey Bolmier Raphael Sourty ... Adil Zouitine Heitor Murilo Gomes Jesse Read T. Abdessalem Albert Bifet AI4TS AI4CE 91 200 0 08 Dec 2020
Online Robust and Adaptive Learning from Data Streams Shintaro Fukushima Atsushi Nitanda Kenji Yamanishi 69 3 0 23 Jul 2020