Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2012.04740
Cited By
River: machine learning for streaming data in Python
8 December 2020
Jacob Montiel
Max Halford
S. Mastelini
Geoffrey Bolmier
Raphael Sourty
Robin Vaysse
Adil Zouitine
Heitor Murilo Gomes
Jesse Read
T. Abdessalem
Nikolaos Perrakis
AI4TS
AI4CE
Re-assign community
ArXiv (abs)
PDF
HTML
Github (5354★)
Papers citing
"River: machine learning for streaming data in Python"
50 / 73 papers shown
ARES: Anomaly Recognition Model For Edge Streams
Simone Mungari
Albert Bifet
Giuseppe Manco
Bernhard Pfahringer
97
0
0
27 Nov 2025
Adaptive Detection of Software Aging under Workload Shift
Rafael José Moura
Maria Gizele Nascimento
Fumio Machida
Ermeson Andrade
95
0
0
05 Nov 2025
OEUVRE: OnlinE Unbiased Variance-Reduced loss Estimation
K. Pardeshi
Bryan Wilder
Aarti Singh
123
0
0
26 Oct 2025
Dynamic Features Adaptation in Networking: Toward Flexible training and Explainable inference
Yannis Belkhiter
Seshu Tirupathi
Giulio Zizzo
Merim Dzaferagic
John D. Kelleher
151
0
0
09 Oct 2025
Protected Probabilistic Classification Library
Ivan Petej
134
0
0
14 Sep 2025
Anomaly detection in network flows using unsupervised online machine learning
Alberto Miguel-Diez
Adrián Campazas-Vega
Ángel Manuel Guerrero Higueras
Claudia Álvarez-Aparicio
Vicente Matellán Olivera
103
1
0
01 Sep 2025
Detecting and explaining postpartum depression in real-time with generative artificial intelligence
Applied Artificial Intelligence (AAI), 2025
Silvia García-Méndez
Francisco de Arriba-Pérez
107
1
0
08 Aug 2025
Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
En Yu
Jie Lu
Kun Wang
Xiaoyu Yang
G. Zhang
199
9
0
03 Aug 2025
Online hierarchical partitioning of the output space in extreme multi-label data stream
Lara Neves
Afonso Lourenço
Alberto Cano
Goreti Marreiros
108
4
0
28 Jul 2025
Awesome-OL: An Extensible Toolkit for Online Learning
Zeyi Liu
Songqiao Hu
Pengyu Han
Jiaming Liu
Xiao He
91
0
0
27 Jul 2025
Online Discovery of Simulation Models for Evolving Business Processes (Extended Version)
International Conference on Business Process Management (BPM), 2025
Francesco Vinci
Gyunam Park
Wil M.P. van der Aalst
Massimiliano de Leoni
161
1
0
11 Jun 2025
Unsupervised anomaly detection on cybersecurity data streams: a case with BETH dataset
Evgeniy Eremin
AI4TS
340
0
0
06 Mar 2025
Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks
IEEE Transactions on Communications (IEEE Trans. Commun.), 2025
Li Yang
Shimaa A. Naser
Abdallah Shami
Sami Muhaidat
Lyndon Ong
Merouane Debbah
335
7
0
28 Feb 2025
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
IEEE Transactions on Network and Service Management (TNSM), 2024
Li Yang
Mirna El Rajab
Abdallah Shami
Sami Muhaidat
446
24
0
28 Feb 2025
Early Concept Drift Detection via Prediction Uncertainty
AAAI Conference on Artificial Intelligence (AAAI), 2024
Pengqian Lu
Jie Lu
Anjin Liu
G. Zhang
248
10
0
15 Dec 2024
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
AAAI Conference on Artificial Intelligence (AAAI), 2024
Brandon Gower-Winter
Georg Krempl
Sergey Dragomiretskiy
Tineke Jelsma
Arno Siebes
482
3
0
13 Dec 2024
Resilience to the Flowing Unknown: an Open Set Recognition Framework for Data Streams
Hybrid Artificial Intelligence Systems (HAIS), 2024
Marcos Barcina-Blanco
J. Lobo
Pablo García Bringas
Javier Del Ser
241
2
0
31 Oct 2024
Hoeffding adaptive trees for multi-label classification on data streams
Knowledge-Based Systems (KBS), 2024
Aurora Esteban
Alberto Cano
Amelia Zafra
Sebastián Ventura
257
10
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
474
4
0
09 Oct 2024
Calibrated Probabilistic Forecasts for Arbitrary Sequences
Charles Marx
Volodymyr Kuleshov
Stefano Ermon
AI4TS
315
3
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
220
1
0
16 Sep 2024
OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data
Sebastian Wette
Florian Heinrichs
AI4TS
234
3
0
15 Sep 2024
Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis
Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2024
Yibin Sun
Heitor Murilo Gomes
Bernhard Pfahringer
Nikolaos Perrakis
193
3
0
29 Aug 2024
A Synthetic Benchmark to Explore Limitations of Localized Drift Detections
Flavio Giobergia
Eliana Pastor
Luca de Alfaro
Elena Baralis
163
0
0
26 Aug 2024
Spurious Correlations in Concept Drift: Can Explanatory Interaction Help?
Cristiana Lalletti
Stefano Teso
286
2
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
248
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
185
1
0
23 May 2024
Hybrid Ensemble-Based Travel Mode Prediction
Pawel Golik
Maciej Grzenda
El.zbieta Sienkiewicz
123
0
0
22 Apr 2024
Methods for Generating Drift in Text Streams
C. M. Garcia
A. L. Koerich
A. Britto
J. P. Barddal
196
2
0
18 Mar 2024
Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUI
Thomas Bartz-Beielstein
VLM
209
0
0
18 Feb 2024
ActDroid: An active learning framework for Android malware detection
Ali Muzaffar
H. R. Hassen
Hind Zantout
M. Lones
251
3
0
30 Jan 2024
German Text Embedding Clustering Benchmark
Silvan Wehrli
Bert Arnrich
Christopher Irrgang
252
15
0
05 Jan 2024
A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams
René Richard
Nabil Belacel
173
1
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
456
0
0
11 Dec 2023
Concept Drift Adaptation in Text Stream Mining Settings: A Comprehensive Review
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
C. M. Garcia
Ramon Simoes Abilio
A. L. Koerich
A. Britto
J. P. Barddal
AI4TS
251
2
0
05 Dec 2023
Streaming Bayesian Modeling for predicting Fat-Tailed Customer Lifetime Value
Alexey V. Calabourdin
Konstantin A. Aksenov
230
1
0
01 Dec 2023
A comprehensive analysis of concept drift locality in data streams
Knowledge-Based Systems (KBS), 2023
Gabriel J. Aguiar
Alberto Cano
215
22
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
253
17
0
24 Oct 2023
Measuring the Stability of Process Outcome Predictions in Online Settings
International Conference on Process Mining (ICPM), 2023
Suhwan Lee
M. Comuzzi
Xixi Lu
H. Reijers
253
0
0
13 Oct 2023
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams
Proceedings of the VLDB Endowment (PVLDB), 2023
Yiqun Diao
Yutong Yang
Yue Liu
Bin He
Mian Lu
329
4
0
29 Aug 2023
Online GentleAdaBoost -- Technical Report
Chapman Siu
213
0
0
27 Aug 2023
TinyMetaFed: Efficient Federated Meta-Learning for TinyML
Haoyu Ren
Xue Li
Darko Anicic
Thomas Runkler
310
5
0
13 Jul 2023
OPTWIN: Drift identification with optimal sub-windows
Mauro Dalle Lucca Tosi
Martin Theobald
203
5
0
19 May 2023
PyTorch Hyperparameter Tuning - A Tutorial for spotPython
Thomas Bartz-Beielstein
BDL
GP
248
5
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
335
6
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
296
7
0
04 May 2023
TinyReptile: TinyML with Federated Meta-Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Haoyu Ren
Darko Anicic
Thomas Runkler
388
26
0
11 Apr 2023
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams
Maximilian Muschalik
Fabian Fumagalli
Barbara Hammer
Eyke Hüllermeier
303
6
0
02 Mar 2023
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices
Consumer Communications and Networking Conference (CCNC), 2022
Ioannis Mavromatis
Adrián Sánchez-Mompó
Francesco Raimondo
James Pope
Marcello Bullo
...
Vijay S. Kumar
P. Carnelli
G. Oikonomou
Theodoros Spyridopoulos
Aftab Khan
319
6
0
03 Nov 2022
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework
Consumer Communications and Networking Conference (CCNC), 2022
Ioannis Mavromatis
Aftab Khan
220
5
0
03 Nov 2022
1
2
Next
Page 1 of 2
