Bernhard Pfahringer
18 papers · 2010–2025 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (39) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Keyword Collector
(83)
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Renaissance Researcher
(5)
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Unstoppable · Bronze
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Conference Pioneer
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Century Club · Bronze
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Trend Setter
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Research topics
Machine Learning
(14)
Learning Types · Machine Learning
(9)
Application Areas
(5)
Core Methods
(5)
Data Science & Analytics
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Learning Types · Deep Learning
(3)
Methods
(3)
Computer Science
(2)
Natural Language Processing
(2)
Applications
(2)
Core AI
(2)
Resources & Methods
(2)
Keywords
online learning
(5)
data stream
(4)
concept drift
(3)
multi-label classification
(2)
hoeffding tree
(2)
continual learning
(2)
incremental learning
(2)
semi-supervised learning
(2)
language modeling
(1)
data augmentation
(1)
binary classification
(1)
social media analysis
(1)
multi-instance learning
(1)
isotonic regression
(1)
sentiment analysis
(1)
empirical risk minimization
(1)
affective computing
(1)
ensemble learning
(1)
probability estimation
(1)
anomaly detection
(1)
Papers
Detection of Human and Machine-Authored Fake News in Urdu
ACL 2025
ASML: A Scalable and Efficient AutoML Solution for Data Streams
AutoML 2024
Online Isolation Forest
ICML 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
PolyLM: Learning about Polysemy through Language Modeling
EACL 2021
AffectiveTweets: a Weka Package for Analyzing Affect in Tweets
JMLR 2019
Investigating the effect of novel classes in semi-supervised learning
ACML 2019
Stochastic Gradient Trees
ACML 2019
Probability Calibration Trees
ACML 2017
Learning Distance Metrics for Multi-Label Classification
ACML 2016
MEKA: A Multi-label/Multi-target Extension to WEKA
JMLR 2016
Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets
IJCAI 2015
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking
ACML 2010
MOA: Massive Online Analysis
JMLR 2010
WEKA−Experiences with a Java Open-Source Project
JMLR 2010