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1802.08780
Cited By
Extremely Fast Decision Tree
24 February 2018
Chaitanya Manapragada
Geoffrey I. Webb
Mahsa Salehi
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Papers citing
"Extremely Fast Decision Tree"
39 / 39 papers shown
A Comprehensive Survey of Website Fingerprinting Attacks and Defenses in Tor: Advances and Open Challenges
Yuwen Cui
Guangjing Wang
Khanh Vu
Kai Wei
Kehan Shen
Zhengyuan Jiang
Xiao Han
Ning Wang
Zhuo Lu
Yao Liu
337
3
0
13 Oct 2025
Lift What You Can: Green Online Learning with Heterogeneous Ensembles
Kirsten Köbschall
Sebastian Buschjäger
Raphael Fischer
Lisa Hartung
Stefan Kramer
OffRL
195
1
0
23 Sep 2025
Online hierarchical partitioning of the output space in extreme multi-label data stream
Lara Neves
Afonso Lourenço
Alberto Cano
Goreti Marreiros
110
4
0
28 Jul 2025
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection
Diego Cajaraville-Aboy
Marta Moure-Garrido
Carlos Beis-Penedo
C. García-Rubio
R. Redondo
Celeste Campo
Ana Fernández-Vilas
M. Fernández-Veiga
216
1
0
02 Apr 2025
A Frank System for Co-Evolutionary Hybrid Decision-Making
International Symposium on Intelligent Data Analysis (IDA), 2025
Federico Mazzoni
Riccardo Guidotti
Alessio Malizia
227
2
0
08 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
362
7
0
28 Feb 2025
In-context Learning of Evolving Data Streams with Tabular Foundational Models
Afonso Lourenço
João Gama
Eric P. Xing
Goreti Marreiros
532
2
0
24 Feb 2025
Des-q: a quantum algorithm to provably speedup retraining of decision trees
Quantum (Quantum), 2023
Niraj Kumar
Romina Yalovetzky
Changhao Li
Pierre Minssen
Marco Pistoia
593
7
0
03 Jan 2025
Soft Hoeffding Tree: A Transparent and Differentiable Model on Data Streams
IFIP Working Conference on Database Semantics (IWDS), 2024
Kirsten Köbschall
Lisa Hartung
Stefan Kramer
131
2
0
07 Nov 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
Minimising changes to audit when updating decision trees
Anj Simmons
Scott Barnett
Anupam Chaudhuri
Sankhya Singh
Shangeetha Sivasothy
205
0
0
29 Aug 2024
QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest
Romina Yalovetzky
Niraj Kumar
Changhao Li
Marco Pistoia
316
1
0
17 Jun 2024
Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification
P. Zyblewski
283
2
0
24 Apr 2024
Online Learning of Decision Trees with Thompson Sampling
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Ayman Chaouki
Jesse Read
Nikolaos Perrakis
192
3
0
09 Apr 2024
Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUI
Thomas Bartz-Beielstein
VLM
213
0
0
18 Feb 2024
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
Knowledge-Based Systems (KBS), 2023
Radek Svoboda
Sebastian Basterrech
Jędrzej Kozal
Jan Platoš
Michal Wo'zniak
391
10
0
07 Sep 2023
An Adaptive Ensemble Framework for Addressing Concept Drift in IoT Data Streams
Yafeng Wu
Lan Liu
Yongjie Yu
Guiming Chen
Junhan Hu
340
6
0
11 May 2023
Efficient Online Decision Tree Learning with Active Feature Acquisition
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Arman Rahbar
Ziyu Ye
Yuxin Chen
M. Chehreghani
376
2
0
03 May 2023
Fully-Dynamic Approximate Decision Trees With Worst-Case Update Time Guarantees
International Conference on Machine Learning (ICML), 2023
Marco Bressan
Mauro Sozio
141
1
0
08 Feb 2023
Learning from Data Streams: An Overview and Update
ACM Computing Surveys (ACM CSUR), 2022
Jesse Read
Indr.e vZliobait.e
376
11
0
30 Dec 2022
MABSplit: Faster Forest Training Using Multi-Armed Bandits
Neural Information Processing Systems (NeurIPS), 2022
Mo Tiwari
Ryan Kang
Je-Yong Lee
Sebastian Thrun
Chris Piech
Ilan Shomorony
Martin Jinye Zhang
187
5
0
14 Dec 2022
Fully-Dynamic Decision Trees
AAAI Conference on Artificial Intelligence (AAAI), 2022
M. Bressan
Gabriel Damay
Mauro Sozio
96
4
0
01 Dec 2022
A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems
IEEE Transactions on Industrial Informatics (IEEE TII), 2022
Li Yang
Abdallah Shami
466
43
0
05 Oct 2022
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective
Engineering applications of artificial intelligence (EAAI), 2022
Li Yang
Abdallah Shami
244
80
0
16 Sep 2022
Green Accelerated Hoeffding Tree
E. García-Martín
Nikolaos Perrakis
Niklas Lavesson
Rikard König
Henrik Linusson
166
9
0
06 May 2022
Dynamic Model Tree for Interpretable Data Stream Learning
IEEE International Conference on Data Engineering (ICDE), 2022
Johannes Haug
Klaus Broelemann
Gjergji Kasneci
235
9
0
30 Mar 2022
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing
IEEE Transactions on Network and Service Management (IEEE TNSM), 2022
Guilherme Weigert Cassales
Heitor Murilo Gomes
Nikolaos Perrakis
Bernhard Pfahringer
H. Senger
89
11
0
17 Jan 2022
Shrub Ensembles for Online Classification
Sebastian Buschjäger
Sibylle Hess
K. Morik
CLL
159
1
0
07 Dec 2021
Deep Neural Networks and Tabular Data: A Survey
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
LMTD
682
1,068
0
05 Oct 2021
PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams
Global Communications Conference (GLOBECOM), 2021
Li Yang
D. Manias
Abdallah Shami
298
76
0
10 Sep 2021
A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams
IEEE Internet of Things Magazine (IEEE IoT), 2021
Li Yang
Abdallah Shami
341
147
0
21 Apr 2021
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
Ajaykrishna Karthikeyan
Naman Jain
Nagarajan Natarajan
Prateek Jain
MQ
260
14
0
15 Feb 2021
Using dynamical quantization to perform split attempts in online tree regressors
Pattern Recognition Letters (Pattern Recognit. Lett.), 2020
S. Mastelini
A. Carvalho
129
8
0
30 Nov 2020
An Eager Splitting Strategy for Online Decision Trees
Data mining and knowledge discovery (DMKD), 2020
Chaitanya Manapragada
Heitor Murilo Gomes
Mahsa Salehi
Nikolaos Perrakis
Geoffrey I. Webb
177
10
0
20 Oct 2020
Challenges in Benchmarking Stream Learning Algorithms with Real-world Data
Data mining and knowledge discovery (DMKD), 2020
Vinicius M. A. Souza
Denis Moreira dos Reis
André Gustavo Maletzke
Gustavo E. A. P. A. Batista
OOD
AI4TS
374
165
0
30 Apr 2020
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Eric L. Manibardo
I. Laña
J. Lobo
Javier Del Ser
AI4TS
196
8
0
27 Mar 2020
Interpreting Deep Learning-Based Networking Systems
Zili Meng
Minhu Wang
Jia-Ju Bai
Mingwei Xu
Hongzi Mao
Hongxin Hu
AI4CE
234
3
0
09 Oct 2019
Stochastic Gradient Trees
Henry Gouk
Bernhard Pfahringer
E. Frank
231
27
0
23 Jan 2019
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes
N. Cahill
Christopher Kanan
395
263
0
16 Sep 2018
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