Eibe Frank
10 papers · 2009–2025 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22)
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Trend Setter
🚀
Conference Pioneer
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Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(4)
Learning Types · Machine Learning
(3)
Optimization & Theory
(3)
Computer Science
(2)
Deep Learning
(2)
Application Areas
(2)
Applications
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
online learning
(2)
catastrophic forgetting
(1)
multiple instance learning
(1)
ensemble learning
(1)
sentiment analysis
(1)
multi-instance learning
(1)
attention mechanism
(1)
data augmentation
(1)
social media analysis
(1)
incremental learning
(1)
probability estimation
(1)
affective computing
(1)
empirical risk minimization
(1)
isotonic regression
(1)
continual learning
(1)
monte carlo sampling
(1)
software engineering
(1)
siamese neural network
(1)
probability calibration
(1)
stochastic gradient
(1)
Papers
Multiple Instance Verification
JMLR 2025
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal
NeurIPS 2022
Sampling Permutations for Shapley Value Estimation
JMLR 2022
AffectiveTweets: a Weka Package for Analyzing Affect in Tweets
JMLR 2019
Stochastic Gradient Trees
ACML 2019
Probability Calibration Trees
ACML 2017
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
WEKA−Experiences with a Java Open-Source Project
JMLR 2010
Human-competitive tagging using automatic keyphrase extraction
EMNLP 2009