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Challenges in Benchmarking Stream Learning Algorithms with Real-world Data

30 April 2020

Vinicius M. A. Souza

Denis Moreira dos Reis

André Gustavo Maletzke

Gustavo E. A. P. A. Batista

OOD

AI4TS

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Papers citing "Challenges in Benchmarking Stream Learning Algorithms with Real-world Data"

37 / 37 papers shown

Title
Online Isolation Forest Filippo Leveni Guilherme Weigert Cassales Bernhard Pfahringer Albert Bifet Giacomo Boracchi 78 0 0 14 May 2025
Performance-bounded Online Ensemble Learning Method Based on Multi-armed bandits and Its Applications in Real-time Safety Assessment Songqiao Hu Zeyi Liu Xiao He 74 1 0 19 Mar 2025
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments Paulius Rauba Nabeel Seedat Krzysztof Kacprzyk Mihaela van der Schaar AI4CE 106 2 0 31 Oct 2024
Resilience to the Flowing Unknown: an Open Set Recognition Framework for Data Streams Marcos Barcina-Blanco J. Lobo Pablo García Bringas Javier Del Ser 70 1 0 31 Oct 2024
Change Detection in Multivariate data streams: Online Analysis with Kernel-QuantTree Michelangelo Olmo Nogara Notarianni Filippo Leveni Diego Stucchi Luca Frittoli Giacomo Boracchi 56 0 0 17 Oct 2024
Unsupervised Assessment of Landscape Shifts Based on Persistent Entropy and Topological Preservation Sebastian Basterrech 78 0 0 05 Oct 2024
Online Drift Detection with Maximum Concept Discrepancy Ke Wan Yi Liang Susik Yoon 109 3 0 07 Jul 2024
Concept Drift Detection using Ensemble of Integrally Private Models Ayush K. Varshney V. Torra 87 4 0 07 Jun 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 150 2 0 07 Jun 2024
A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning Cedric Kulbach Lucas Cazzonelli Hoang-Anh Ngo Minh-Huong Le Nguyen Albert Bifet 79 2 0 27 May 2024
Drift Detection: Introducing Gaussian Split Detector Maxime Fuccellaro Laurent Simon A. Zemmari 57 0 0 14 May 2024
A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection Sebastian Basterrech Line Clemmensen Gerardo Rubino OOD 59 2 0 25 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
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection Jiaqi Zhu Shaofeng Cai Fang Deng Bengchin Ooi Wenqiao Zhang 101 5 0 28 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 40 1 0 22 Nov 2023
A comprehensive analysis of concept drift locality in data streams Gabriel J. Aguiar Alberto Cano 56 9 0 10 Nov 2023
Binary Quantification and Dataset Shift: An Experimental Investigation Pablo González Alejandro Moreo Fabrizio Sebastiani 85 8 0 06 Oct 2023
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams Yiqun Diao Yutong Yang Yue Liu Bin He Mian Lu 85 3 0 29 Aug 2023
SMOClust: Synthetic Minority Oversampling based on Stream Clustering for Evolving Data Streams Chun Wai Chiu Leandro L. Minku AI4TS 26 2 0 28 Aug 2023
Towards Computational Performance Engineering for Unsupervised Concept Drift Detection -- Complexities, Benchmarking, Performance Analysis Elias Werner Nishant Kumar Matthias Lieber Sunna Torge Stefan Gumhold W. Nagel 69 4 0 17 Apr 2023
Class Distribution Monitoring for Concept Drift Detection Diego Stucchi Luca Frittoli Giacomo Boracchi 94 5 0 16 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 96 3 0 04 Oct 2022
Change Detection for Local Explainability in Evolving Data Streams Johannes Haug Alexander Braun Stefan Zurn Gjergji Kasneci FAtt 48 10 0 06 Sep 2022
Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams Fabian Fumagalli Maximilian Muschalik Eyke Hüllermeier Barbara Hammer 66 22 0 05 Sep 2022
Nonparametric and Online Change Detection in Multivariate Datastreams using QuantTree Luca Frittoli Diego Carrera Giacomo Boracchi 44 6 0 30 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 69 2 0 27 Jul 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 59 27 0 09 Jun 2022
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams Johannes Haug Effi Tramountani Gjergji Kasneci 41 5 0 28 Apr 2022
Dynamic Model Tree for Interpretable Data Stream Learning Johannes Haug Klaus Broelemann Gjergji Kasneci 110 7 0 30 Mar 2022
Active Weighted Aging Ensemble for Drifted Data Stream Classification Michal Wo'zniak P. Zyblewski Pawel Ksieniewicz AI4TS 64 22 0 19 Dec 2021
One Pass ImageNet Huiyi Hu Ang Li Daniele Calandriello Dilan Görür VLM 72 18 0 03 Nov 2021
Employing chunk size adaptation to overcome concept drift Jkedrzej Kozal Filip Guzy Michal Wo'zniak AI4TS 28 4 0 25 Oct 2021
Detecting Concept Drift With Neural Network Model Uncertainty Lucas Baier Tim Schlör Jakob Schöffer Niklas Kühl 68 28 0 05 Jul 2021
An Open-Source Tool for Classification Models in Resource-Constrained Hardware Lucas Costa da Silva V. Souza Gustavo E. A. P. A. Batista 36 6 0 12 May 2021
STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection Vítor Cerqueira Heitor Murilo Gomes Albert Bifet Luís Torgo 40 31 0 01 Mar 2021
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Gustavo H. F. M. Oliveira Leandro L. Minku Adriano Oliveira 78 35 0 11 Feb 2021
Differentiable Segmentation of Sequences Erik Scharwächter Jonathan Lennartz Emmanuel Müller 71 2 0 23 Jun 2020