Title
Unsupervised anomaly detection on cybersecurity data streams: a case with BETH dataset Evgeniy Eremin AI4TS 57 0 0 06 Mar 2025
Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks Li Yang Shimaa A. Naser Abdallah Shami Sami Muhaidat Lyndon Ong Merouane Debbah 55 1 0 28 Feb 2025
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis Li Yang Mirna El Rajab Abdallah Shami Sami Muhaidat 78 6 0 28 Feb 2025
Early Concept Drift Detection via Prediction Uncertainty Pengqian Lu Jie Lu Anjin Liu G. Zhang 79 0 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 88 0 0 13 Dec 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 37 0 0 31 Oct 2024
Hoeffding adaptive trees for multi-label classification on data streams Aurora Esteban Alberto Cano Amelia Zafra Sebastián Ventura 16 1 0 26 Oct 2024
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning Anastasiya Danilenka Alireza Furutanpey Víctor Casamayor Pujol Boris Sedlak Anna Lackinger M. Ganzha M. Paprzycki Schahram Dustdar 34 0 0 09 Oct 2024
Calibrated Probabilistic Forecasts for Arbitrary Sequences Charles Marx Volodymyr Kuleshov Stefano Ermon AI4TS 36 1 0 27 Sep 2024
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection Kodjo Mawuena Amekoe M. Lebbah Gregoire Jaffre Hanene Azzag Zaineb Chelly Dagdia 16 0 0 16 Sep 2024
OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data Sebastian Wette Florian Heinrichs AI4TS 20 1 0 15 Sep 2024
Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis Yibin Sun Heitor Murilo Gomes Bernhard Pfahringer Albert Bifet 16 0 0 29 Aug 2024
A Synthetic Benchmark to Explore Limitations of Localized Drift Detections F. Giobergia Eliana Pastor Luca de Alfaro Elena Baralis 17 0 0 26 Aug 2024
Spurious Correlations in Concept Drift: Can Explanatory Interaction Help? Cristiana Lalletti Stefano Teso 27 1 0 23 Jul 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 19 2 0 27 May 2024
A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data Feng Gu Jie Lu Zhen Fang Kun Wang Guangquan Zhang 19 0 0 23 May 2024
Hybrid Ensemble-Based Travel Mode Prediction Pawel Golik Maciej Grzenda El.zbieta Sienkiewicz 16 0 0 22 Apr 2024
Methods for Generating Drift in Text Streams C. M. Garcia A. L. Koerich A. Britto J. P. Barddal 30 1 0 18 Mar 2024
Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUI Thomas Bartz-Beielstein VLM 19 0 0 18 Feb 2024
ActDroid: An active learning framework for Android malware detection Ali Muzaffar H. R. Hassen Hind Zantout M. Lones 6 1 0 30 Jan 2024
German Text Embedding Clustering Benchmark Silvan Wehrli Bert Arnrich Christopher Irrgang 22 5 0 05 Jan 2024
A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams René Richard Nabil Belacel 18 0 0 12 Dec 2023
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions Easton K. Huch Jieru Shi Madeline R Abbott J. Golbus Alexander Moreno Walter Dempsey OffRL 19 0 0 11 Dec 2023
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 30 2 0 05 Dec 2023
Streaming Bayesian Modeling for predicting Fat-Tailed Customer Lifetime Value Alexey V. Calabourdin Konstantin A. Aksenov 17 0 0 01 Dec 2023
A comprehensive analysis of concept drift locality in data streams Gabriel J. Aguiar Alberto Cano 18 6 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 27 7 0 24 Oct 2023
Measuring the Stability of Process Outcome Predictions in Online Settings Suhwan Lee M. Comuzzi Xixi Lu H. Reijers 14 0 0 13 Oct 2023
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams Yiqun Diao Yutong Yang Q. Li Bin He Mian Lu 14 1 0 29 Aug 2023
Online GentleAdaBoost -- Technical Report Chapman Siu 11 0 0 27 Aug 2023
TinyMetaFed: Efficient Federated Meta-Learning for TinyML Haoyu Ren Xue Li Darko Anicic Thomas Runkler 22 3 0 13 Jul 2023
OPTWIN: Drift identification with optimal sub-windows Mauro Dalle Lucca Tosi Martin Theobald 18 1 0 19 May 2023
PyTorch Hyperparameter Tuning - A Tutorial for spotPython T. Bartz-Beielstein BDL GP 19 2 0 19 May 2023
An Adaptive Ensemble Framework for Addressing Concept Drift in IoT Data Streams Yafeng Wu Lan Liu Yongjie Yu Guiming Chen Junhan Hu 24 1 0 11 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 27 2 0 04 May 2023
TinyReptile: TinyML with Federated Meta-Learning Haoyu Ren Darko Anicic Thomas Runkler 25 16 0 11 Apr 2023
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams Maximilian Muschalik Fabian Fumagalli Barbara Hammer Eyke Hüllermeier 15 3 0 02 Mar 2023
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 19 5 0 03 Nov 2022
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework Ioannis Mavromatis Aftab Khan 32 5 0 03 Nov 2022
A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems Li Yang Abdallah Shami 62 22 0 05 Oct 2022
Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm Jonas Köhne Lars Henning C. Gühmann 9 3 0 09 Sep 2022
Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams Fabian Fumagalli Maximilian Muschalik Eyke Hüllermeier Barbara Hammer 24 20 0 05 Sep 2022
Frouros: A Python library for drift detection in machine learning systems Jaime Céspedes-Sisniega Álvaro López-García 11 1 0 14 Aug 2022
Online Agnostic Multiclass Boosting Vinod Raman Ambuj Tewari 24 3 0 30 May 2022
A Survey on Uncertainty Toolkits for Deep Learning Maximilian Pintz Joachim Sicking Maximilian Poretschkin Maram Akila ELM 30 6 0 02 May 2022
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams Johannes Haug Effi Tramountani Gjergji Kasneci 9 5 0 28 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 14 90 0 07 Apr 2022
BELLATREX: Building Explanations through a LocaLly AccuraTe Rule EXtractor Klest Dedja F. Nakano Konstantinos Pliakos C. Vens 11 5 0 29 Mar 2022
A Review of Open Source Software Tools for Time Series Analysis Yunus Parvej Faniband I. Ishak S. M. Sait AI4TS 19 6 0 10 Mar 2022
Online AutoML: An adaptive AutoML framework for online learning B. Celik Prabhant Singh Joaquin Vanschoren 29 22 0 24 Jan 2022