Albert Bifet
19 papers · 2010–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(5)
ποΈ
Keyword Collector
(92)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(16)
Learning Types Β· Machine Learning
(10)
Core Methods
(7)
Data Science & Analytics
(6)
Application Areas
(6)
Methods
(5)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Mathematics & Optimization
(3)
Core AI
(3)
Optimization
(3)
Deep Learning
(2)
Learning Types Β· Deep Learning
(2)
Applications
(1)
Architectures
(1)
Keywords
online learning
(7)
data stream
(5)
decision tree
(5)
concept drift
(3)
continual learning
(3)
stream learning
(3)
hoeffding tree
(2)
data stream mining
(2)
ensemble learning
(1)
incremental learning
(1)
anomaly detection
(1)
feature transformation
(1)
computational efficiency
(1)
model interpretability
(1)
interpretable machine learning
(1)
reservoir computing
(1)
multi-label classification
(1)
real-time learning
(1)
monte carlo simulation
(1)
data augmentation
(1)
Papers
Binary Split Categorical Feature with Mean Absolute Error Criteria in CART
AAAI 2026
Salvador Urban Network Transportation (SUNT): A Landmark Spatiotemporal Dataset for Public Transportation (Abstract Reprint)
AAAI 2026
Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
AAAI 2026
Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO*
ICML 2025
ASML: A Scalable and Efficient AutoML Solution for Data Streams
AutoML 2024
Online Isolation Forest
ICML 2024
Online Learning of Decision Trees with Thompson Sampling
AISTATS 2024
Recurrent Concept Drifts on Data Streams
IJCAI 2024
Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme
IJCAI 2024
Survey on Online Streaming Continual Learning
IJCAI 2023
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal
NeurIPS 2022
Linear tree shap
NeurIPS 2022
River: machine learning for streaming data in Python
JMLR 2021
Survey on Feature Transformation Techniques for Data Streams
IJCAI 2020
Scikit-Multiflow: A Multi-output Streaming Framework
JMLR 2018
Echo State Hoeffding Tree Learning
ACML 2016
SAMOA: Scalable Advanced Massive Online Analysis
JMLR 2015
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking
ACML 2010
MOA: Massive Online Analysis
JMLR 2010