Bernhard Pfahringer
18 papers · 2010–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (15) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (11)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(35)
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable
(5)
π
Century Club
(18)
π
Conference Pioneer
ποΈ
Keyword Collector
(71)
Conferences
ACML (5)
IJCAI (4)
JMLR (4)
ACL (1)
AUTOML (1)
EACL (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
online learning
(4)
concept drift
(3)
data stream
(3)
incremental learning
(2)
multi-label classification
(2)
continual learning
(2)
semi-supervised learning
(2)
hoeffding tree
(2)
social media analysis
(1)
binary classification
(1)
data augmentation
(1)
language modeling
(1)
nearest neighbor
(1)
multi-instance learning
(1)
empirical risk minimization
(1)
sentiment analysis
(1)
affective computing
(1)
isotonic regression
(1)
probability estimation
(1)
ensemble learning
(1)
Papers
Detection of Human and Machine-Authored Fake News in Urdu
ACL 2025
Online Isolation Forest
ICML 2024
ASML: A Scalable and Efficient AutoML Solution for Data Streams
AUTOML 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
NIPS 2022
PolyLM: Learning about Polysemy through Language Modeling
EACL 2021
Investigating the effect of novel classes in semi-supervised learning
ACML 2019
Stochastic Gradient Trees
ACML 2019
AffectiveTweets: a Weka Package for Analyzing Affect in Tweets
JMLR 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
MOA: Massive Online Analysis
JMLR 2010
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking
ACML 2010
WEKAβExperiences with a Java Open-Source Project
JMLR 2010