Eibe Frank

1. Sampling Permutations for Shapley Value Estimation
   2021/04/25 by Rory Mitchell, Joshua Cooper, Mitchell, Rory +5 · 25 citations
   Computer Science · Mathematics · #05A05 (Primary) 65K10 #90C27 (Secondary) #Combinatorics (math.CO) #FOS: Computer and information sciences #FOS: Mathematics #G.2.1 #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Mathematical Approximation and Integration #Statistical Methods and Inference
2. GPUTreeShap: Massively Parallel Exact Calculation of SHAP Scores for Tree Ensembles
   2020/10/27 by Rory Mitchell, Mitchell, Rory, Eibe Frank +3 · 5 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Distributed #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Parallel #and Cluster Computing (cs.DC)
3. XGBoost: Scalable GPU Accelerated Learning
   2018/06/29 by Rory Mitchell, Andrey Adinets, Mitchell, Rory +5 · 1 voice · 1 citation
   Computer Science · Mathematics · #Advanced Image and Video Retrieval Techniques #Neural Networks and Applications #Parallel Computing and Optimization Techniques #cs.LG #stat.ML
4. A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal
   2022/09/28 by Yaqian Zhang, Zhang, Yaqian, Bernhard Pfahringer +9 · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
5. Methods for Eliciting Informative Prior Distributions: A Critical Review
   2021/12/14 by Julia R. Falconer, Falconer, Julia R., Eibe Frank +5 · 2 citations
   Computer Science · Decision Sciences · Mathematics · #Advanced Statistical Process Monitoring #Applications (stat.AP) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
6. Locally Weighted Naive Bayes
   2012/10/19 by Eibe Frank, Frank, Eibe, Mark Hall +3 · 1 citation
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Rough Sets and Fuzzy Logic
7. Accurate photometric redshift probability density estimation - method comparison and application
   2015/03/27 by Markus Michael Rau, S. Seitz, Rau, Markus Michael +11 · 1 citation
   Physics and Astronomy · #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena
8. Stochastic Gradient Trees
   2019/01/23 by Henry Gouk, Bernhard Pfahringer, Gouk, Henry +3 · 1 citation
   Computer Science · Environmental Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
9. Better Self-training for Image Classification through Self-supervision
   2021/09/02 by Attaullah Sahito, Sahito, Attaullah, Eibe Frank +3 · 1 citation
   Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Data Classification
10. Classifier chains for multi-label classification
    2011/06/29 by Jesse Read, Bernhard Pfahringer, Geoffrey Holmes +1 · 1 citation
    Computer Science · #Text and Document Classification Technologies #Machine Learning and Data Classification #Spam and Phishing Detection