Eibe Frank

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 74

Top Venues

CoRR

Australasian Conference on Artificial Intelligence

Data Min. Knowl. Discov.

PAKDD (1)

Publications

Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes
Feature extractor stacking for cross-domain few-shot learning. Mach. Learn. 113 (1) (2024)
Jesus Antonanzas, Yunzhe Jia, Eibe Frank, Albert Bifet, Bernhard Pfahringer
teex: A toolbox for the evaluation of explanations. Neurocomputing 555 (2023)
Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning. CoLLAs (2023)
Mi Li, Eibe Frank, Bernhard Pfahringer
Large scale K-means clustering using GPUs. Data Min. Knowl. Discov. 37 (1) (2023)
Geoffrey Holmes, Eibe Frank, Dale Fletcher
Image Classification Using Class-Agnostic Object Detection. AIAI (1) (2023)
Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal. NeurIPS (2022)
Geoff Holmes, Eibe Frank, Dale Fletcher, Corey Sterling
Efficiently correcting machine learning: considering the role of example ordering in human-in-the-loop training of image classification models. IUI (2022)
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Better Self-training for Image Classification Through Self-supervision. AI (2022)
Rory Mitchell, Eibe Frank, Geoff Holmes
GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles. PeerJ Comput. Sci. 8 (2022)
Hongyu Wang, Huon Fraser, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes
Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD (2022)
Julia R. Falconer, Eibe Frank, Devon L. L. Polaschek, Chaitanya Joshi
Methods for Eliciting Informative Prior Distributions: A Critical Review. Decis. Anal. 19 (3) (2022)
Rory Mitchell, Joshua Cooper, Eibe Frank, Geoffrey Holmes
Sampling Permutations for Shapley Value Estimation. J. Mach. Learn. Res. 23 (2022)
Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoffrey Holmes
Cross-domain Few-shot Meta-learning Using Stacking. CoRR (2022)
Rory Mitchell, Daniel Stokes, Eibe Frank, Geoffrey Holmes
Bandwidth-Optimal Random Shuffling for GPUs. ACM Trans. Parallel Comput. 9 (1) (2022)
Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal. CoRR (2022)
Rory Mitchell, Daniel Stokes, Eibe Frank, Geoffrey Holmes
Bandwidth-Optimal Random Shuffling for GPUs. CoRR (2021)
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Semi-Supervised Learning using Siamese Networks. CoRR (2021)
Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker
Hitting the Target: Stopping Active Learning at the Cost-Based Optimum. CoRR (2021)
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
Classifier Chains: A Review and Perspectives. J. Artif. Intell. Res. 70 (2021)
Yunzhe Jia, Eibe Frank, Bernhard Pfahringer, Albert Bifet, Nick Lim
Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality. ECML/PKDD (2) (2021)
Rory Mitchell, Joshua Cooper, Eibe Frank, Geoffrey Holmes
Sampling Permutations for Shapley Value Estimation. CoRR (2021)
Rory Mitchell, Eibe Frank, Geoffrey Holmes
An Empirical Study of Moment Estimators for Quantile Approximation. ACM Trans. Database Syst. 46 (1) (2021)
Daniel Bull, Nick Lim, Eibe Frank
Perceptual improvements for Super-Resolution of Satellite Imagery. IVCNZ (2021)
Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael J. Cree
Regularisation of neural networks by enforcing Lipschitz continuity. Mach. Learn. 110 (2) (2021)
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification. CoRR (2021)
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Better Self-training for Image Classification through Self-supervision. CoRR (2021)
Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Bill Cassidy, Manu Goyal, Hongtao Zhu, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, Eibe Frank
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation. Comput. Biol. Medicine 135 (2021)
Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet
Adaptive XGBoost for Evolving Data Streams. CoRR (2020)
Rhys Compton, Eibe Frank, Panos Patros, Abigail Koay
Embedding Java Classes with code2vec: Improvements from Variable Obfuscation. CoRR (2020)
Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Manu Goyal, Hongtao Zhu, Bill Cassidy, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph Pappachan, Claire O'Shea, Eibe Frank
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation. CoRR (2020)
Michael Mayo, Eibe Frank
Improving Naive Bayes for Regression with Optimized Artificial Surrogate Data. Appl. Artif. Intell. 34 (6) (2020)
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Transfer of Pretrained Model Weights Substantially Improves Semi-supervised Image Classification. Australasian Conference on Artificial Intelligence (2020)
Rory Mitchell, Eibe Frank, Geoffrey Holmes
GPUTreeShap: Fast Parallel Tree Interpretability. CoRR (2020)
Hongyu Wang, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo
A Comparison of Machine Learning Methods for Cross-Domain Few-Shot Learning. Australasian Conference on Artificial Intelligence (2020)
Rhys Compton, Eibe Frank, Panos Patros, Abigail Koay
Embedding Java Classes with code2vec: Improvements from Variable Obfuscation. MSR (2020)
Bill Cassidy, Neil D. Reeves, Joseph Pappachan, David Gillespie, Claire O'Shea, Satyan Rajbhandari, Arun G. Maiya, Eibe Frank, Andrew Boulton, David G. Armstrong, Bijan Najafi, Justina Wu, Moi Hoon Yap
DFUC2020: Analysis Towards Diabetic Foot Ulcer Detection. CoRR (2020)
Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet
Adaptive XGBoost for Evolving Data Streams. IJCNN (2020)
Henry Gouk, Bernhard Pfahringer, Eibe Frank
Stochastic Gradient Trees. ACML (2019)
Steven Lang, Felipe Bravo-Marquez, Christopher Beckham, Mark A. Hall, Eibe Frank
WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j. Knowl. Based Syst. 178 (2019)
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
Classifier Chains: A Review and Perspectives. CoRR (2019)
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Semi-supervised Learning Using Siamese Networks. Australasian Conference on Artificial Intelligence (2019)
Henry Gouk, Bernhard Pfahringer, Eibe Frank
Stochastic Gradient Trees. CoRR (2019)
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
Ensembles of Nested Dichotomies with Multiple Subset Evaluation. PAKDD (1) (2019)
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
On Calibration of Nested Dichotomies. PAKDD (1) (2019)
Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer, Saif M. Mohammad
AffectiveTweets: a Weka Package for Analyzing Affect in Tweets. J. Mach. Learn. Res. 20 (2019)
Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael J. Cree
Regularisation of Neural Networks by Enforcing Lipschitz Continuity. CoRR (2018)
Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
Transferring sentiment knowledge between words and tweets. Web Intell. 16 (4) (2018)
Rory Mitchell, Andrey Adinets, Thejaswi Rao, Eibe Frank
XGBoost: Scalable GPU Accelerated Learning. CoRR (2018)
Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree
MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes. ECML/PKDD (1) (2018)
Varvara Vetrova, Sheldon Coup, Eibe Frank, Michael J. Cree
Hidden Features: Experiments with Feature Transfer for Fine-Grained Multi-Class and One-Class Image Categorization. IVCNZ (2018)
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
On the Calibration of Nested Dichotomies for Large Multiclass Tasks. CoRR (2018)
Michael Geilke, Andreas Karwath, Eibe Frank, Stefan Kramer
Online estimation of discrete, continuous, and conditional joint densities using classifier chains. Data Min. Knowl. Discov. 32 (3) (2018)
Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree
MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes. CoRR (2018)
Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
Probability Calibration Trees. CoRR (2018)
Iakovos Gurulian, Konstantinos Markantonakis, Eibe Frank, Raja Naeem Akram
Good Vibrations: Artificial Ambience-Based Relay Attack Detection. TrustCom/BigDataSE (2018)
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
Ensembles of Nested Dichotomies with Multiple Subset Evaluation. CoRR (2018)
Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau
Learning Through Utility Optimization in Regression Tasks. DSAA (2017)
Jeff Mo, Eibe Frank, Varvara Vetrova
Large-Scale Automatic Species Identification. Australasian Conference on Artificial Intelligence (2017)
Carlton Shepherd, Iakovos Gurulian, Eibe Frank, Konstantinos Markantonakis, Raja Naeem Akram, Emmanouil Panaousis, Keith Mayes
The Applicability of Ambient Sensors as Proximity Evidence for NFC Transactions. IEEE Symposium on Security and Privacy Workshops (2017)
Iakovos Gurulian, Carlton Shepherd, Eibe Frank, Konstantinos Markantonakis, Raja Naeem Akram, Keith Mayes
On the Effectiveness of Ambient Sensing for Detecting NFC Relay Attacks. TrustCom/BigDataSE/ICESS (2017)
Iakovos Gurulian, Konstantinos Markantonakis, Carlton Shepherd, Eibe Frank, Raja Naeem Akram
Proximity Assurances Based on Natural and Artificial Ambient Environments. SECITC (2017)
Rory Mitchell, Eibe Frank
Accelerating the XGBoost algorithm using GPU computing. PeerJ Comput. Sci. 3 (2017)
Michael Mayo, Eibe Frank
Improving Naive Bayes for Regression with Optimised Artificial Surrogate Data. CoRR (2017)
Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
Probability Calibration Trees. ACML (2017)
Rory Mitchell, Eibe Frank
Accelerating the XGBoost algorithm using GPU computing. PeerJ Prepr. 5 (2017)
Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
From Opinion Lexicons to Sentiment Classification of Tweets and Vice Versa: A Transfer Learning Approach. WI (2016)
Tim Leathart, Bernhard Pfahringer, Eibe Frank
Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection. CoRR (2016)
Tim Leathart, Bernhard Pfahringer, Eibe Frank
Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection. ECML/PKDD (2) (2016)
Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
Building a Twitter opinion lexicon from automatically-annotated tweets. Knowl. Based Syst. 108 (2016)
Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
Annotate-Sample-Average (ASA): A New Distant Supervision Approach for Twitter Sentiment Analysis. ECAI (2016)
Felipe Bravo-Marquez, Eibe Frank, Saif M. Mohammad, Bernhard Pfahringer
Determining Word-Emotion Associations from Tweets by Multi-label Classification. WI (2016)
Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets. IJCAI (2015)
Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
From Unlabelled Tweets to Twitter-specific Opinion Words. SIGIR (2015)
Eibe Frank, Michael Mayo, Stefan Kramer
Alternating model trees. SAC (2015)
Michael Geilke, Eibe Frank, Andreas Karwath, Stefan Kramer
Online Estimation of Discrete Densities. ICDM (2013)
Eibe Frank, Bernhard Pfahringer
Propositionalisation of Multi-instance Data Using Random Forests. Australasian Conference on Artificial Intelligence (2013)
Eibe Frank, Mark A. Hall, Bernhard Pfahringer
Locally Weighted Naive Bayes CoRR (2012)
Anna-Lan Huang, David N. Milne, Eibe Frank, Ian H. Witten
Learning a concept-based document similarity measure. J. Assoc. Inf. Sci. Technol. 63 (8) (2012)
Albert Bifet, Eibe Frank, Geoff Holmes, Bernhard Pfahringer
Ensembles of Restricted Hoeffding Trees. ACM Trans. Intell. Syst. Technol. 3 (2) (2012)
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
Classifier chains for multi-label classification. Mach. Learn. 85 (3) (2011)
Luke Bjerring, Eibe Frank
Beyond Trees: Adopting MITI to Learn Rules and Ensemble Classifiers for Multi-Instance Data. Australasian Conference on Artificial Intelligence (2011)
Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
WEKA - Experiences with a Java Open-Source Project. J. Mach. Learn. Res. 11 (2010)
James R. Foulds, Eibe Frank
A review of multi-instance learning assumptions. Knowl. Eng. Rev. 25 (1) (2010)
Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan Kramer
A Study of Hierarchical and Flat Classification of Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 7 (3) (2010)
Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking. ACML (2010)
Albert Bifet, Eibe Frank
Sentiment Knowledge Discovery in Twitter Streaming Data. Discovery Science (2010)
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank
Fast Perceptron Decision Tree Learning from Evolving Data Streams. PAKDD (2) (2010)
Fabian Buchwald, Tobias Girschick, Eibe Frank, Stefan Kramer
Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships. AAAI (2010)
James R. Foulds, Eibe Frank
Speeding Up and Boosting Diverse Density Learning. Discovery Science (2010)
Arie Ben-David, Eibe Frank
Accuracy of machine learning models versus "hand crafted" expert systems - A credit scoring case study. Expert Syst. Appl. 36 (3) (2009)
Geoffrey Holmes, Dale Fletcher, Peter Reutemann, Eibe Frank
Analysing chromatographic data using data mining to monitor petroleum content in water. ITEE (2009)
Mark A. Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
The WEKA data mining software: an update. SIGKDD Explor. 11 (1) (2009)
Eibe Frank, Remco R. Bouckaert
Conditional Density Estimation with Class Probability Estimators. ACML (2009)
Anna-Lan Huang, David N. Milne, Eibe Frank, Ian H. Witten
Clustering Documents Using a Wikipedia-Based Concept Representation. PAKDD (2009)
Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank
Classifier Chains for Multi-label Classification. ECML/PKDD (2) (2009)
Olena Medelyan, Eibe Frank, Ian H. Witten
Human-competitive tagging using automatic keyphrase extraction. EMNLP (2009)
Martin Gütlein, Eibe Frank, Mark A. Hall, Andreas Karwath
Large-scale attribute selection using wrappers. CIDM (2009)
Anna-Lan Huang, David N. Milne, Eibe Frank, Ian H. Witten
Clustering Documents with Active Learning Using Wikipedia. ICDM (2008)
Mark A. Hall, Eibe Frank
Combining Naive Bayes and Decision Tables. FLAIRS Conference (2008)
James R. Foulds, Eibe Frank
Revisiting Multiple-Instance Learning Via Embedded Instance Selection. Australasian Conference on Artificial Intelligence (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Eibe Frank