Eibe Frank

According to our database1, Eibe Frank
  • authored at least 88 papers between 1998 and 2017.
  • has a "Dijkstra number"2 of four.

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Bibliography

2017
Accelerating the XGBoost algorithm using GPU computing.
PeerJ PrePrints, 2017

Accelerating the XGBoost algorithm using GPU computing.
PeerJ Computer Science, 2017

Improving Naive Bayes for Regression with Optimised Artificial Surrogate Data.
CoRR, 2017

On the Effectiveness of Ambient Sensing for Detecting NFC Relay Attacks.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

The Applicability of Ambient Sensors as Proximity Evidence for NFC Transactions.
Proceedings of the 2017 IEEE Security and Privacy Workshops, 2017

Proximity Assurances Based on Natural and Artificial Ambient Environments.
Proceedings of the Innovative Security Solutions for Information Technology and Communications, 2017

Learning Through Utility Optimization in Regression Tasks.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Large-Scale Automatic Species Identification.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

Probability Calibration Trees.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
Building a Twitter opinion lexicon from automatically-annotated tweets.
Knowl.-Based Syst., 2016

Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection.
CoRR, 2016

From Opinion Lexicons to Sentiment Classification of Tweets and Vice Versa: A Transfer Learning Approach.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Determining Word-Emotion Associations from Tweets by Multi-label Classification.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Annotate-Sample-Average (ASA): A New Distant Supervision Approach for Twitter Sentiment Analysis.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
From Unlabelled Tweets to Twitter-specific Opinion Words.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Alternating model trees.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2013
Online Estimation of Discrete Densities.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Propositionalisation of Multi-instance Data Using Random Forests.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2012
Ensembles of Restricted Hoeffding Trees.
ACM TIST, 2012

Learning a concept-based document similarity measure.
JASIST, 2012

Locally Weighted Naive Bayes
CoRR, 2012

2011
Classifier chains for multi-label classification.
Machine Learning, 2011

Beyond Trees: Adopting MITI to Learn Rules and Ensemble Classifiers for Multi-Instance Data.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
Weka-A Machine Learning Workbench for Data Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

A Study of Hierarchical and Flat Classification of Proteins.
IEEE/ACM Trans. Comput. Biology Bioinform., 2010

A review of multi-instance learning assumptions.
Knowledge Eng. Review, 2010

WEKA - Experiences with a Java Open-Source Project.
Journal of Machine Learning Research, 2010

Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Fast Perceptron Decision Tree Learning from Evolving Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Speeding Up and Boosting Diverse Density Learning.
Proceedings of the Discovery Science - 13th International Conference, 2010

Sentiment Knowledge Discovery in Twitter Streaming Data.
Proceedings of the Discovery Science - 13th International Conference, 2010

Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
The WEKA data mining software: an update.
SIGKDD Explorations, 2009

Accuracy of machine learning models versus "hand crafted" expert systems - A credit scoring case study.
Expert Syst. Appl., 2009

Classifier Chains for Multi-label Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Clustering Documents Using a Wikipedia-Based Concept Representation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Analysing chromatographic data using data mining to monitor petroleum content in water.
Proceedings of the Information Technologies in Environmental Engineering, 2009

Human-competitive tagging using automatic keyphrase extraction.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Large-scale attribute selection using wrappers.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

Conditional Density Estimation with Class Probability Estimators.
Proceedings of the Advances in Machine Learning, 2009

2008
One-Class Classification by Combining Density and Class Probability Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Clustering Documents with Active Learning Using Wikipedia.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Combining Naive Bayes and Decision Tables.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Discriminating Against New Classes: One-class versus Multi-class Classification.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

Additive Regression Applied to a Large-Scale Collaborative Filtering Problem.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

Revisiting Multiple-Instance Learning Via Embedded Instance Selection.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008


2007
An Empirical Comparison of Exact Nearest Neighbour Algorithms.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

2006
Naive Bayes for Text Classification with Unbalanced Classes.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Improving on Bagging with Input Smearing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

2005
Logistic Model Trees.
Machine Learning, 2005

Gene selection from microarray data for cancer classification - a machine learning approach.
Computational Biology and Chemistry, 2005

Speeding Up Logistic Model Tree Induction.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Unsupervised Discretization Using Tree-Based Density Estimation.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Ensembles of Balanced Nested Dichotomies for Multi-class Problems.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

WEKA - A Machine Learning Workbench for Data Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
Predicting Library of Congress classifications from Library of Congress subject headings.
JASIST, 2004

Data mining in bioinformatics using Weka.
Bioinformatics, 2004

Logistic Regression and Boosting for Labeled Bags of Instances.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Ensembles of nested dichotomies for multi-class problems.
Proceedings of the Machine Learning, 2004

A Toolbox for Learning from Relational Data with Propositional and Multi-instance Learners.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Multinomial Naive Bayes for Text Categorization Revisited.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
Locally Weighted Naive Bayes.
Proceedings of the UAI '03, 2003

Visualizing Class Probability Estimators.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

A Two-Level Learning Method for Generalized Multi-instance Problems.
Proceedings of the Machine Learning: ECML 2003, 2003

Logistic Model Trees.
Proceedings of the Machine Learning: ECML 2003, 2003

2002
Multiclass Alternating Decision Trees.
Proceedings of the Machine Learning: ECML 2002, 2002

Racing Committees for Large Datasets.
Proceedings of the Discovery Science, 5th International Conference, 2002

2001
Interactive machine learning: letting users build classifiers.
Int. J. Hum.-Comput. Stud., 2001

Determining Progression in Glaucoma Using Visual Fields.
Proceedings of the Knowledge Discovery and Data Mining, 2001

A Simple Approach to Ordinal Classification.
Proceedings of the Machine Learning: EMCL 2001, 2001

2000
Naive Bayes for Regression (Technical Note).
Machine Learning, 2000

Bottom-Up Propositionalization.
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

Text Categorization Using Compression Models.
Proceedings of the Data Compression Conference, 2000

1999
Improving browsing in digital libraries with keyphrase indexes.
Decision Support Systems, 1999

KEA: Practical Automatic Keyphrase Extraction
CoRR, 1999

Domain-Specific Keyphrase Extraction.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Making Better Use of Global Discretization.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

KEA: Practical Automatic Keyphrase Extraction.
Proceedings of the Fourth ACM conference on Digital Libraries, 1999

Generating Rule Sets from Model Trees.
Proceedings of the Advanced Topics in Artificial Intelligence, 1999

Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations
Morgan Kaufmann, ISBN: 1-55860-552-5, 1999

1998
Using Model Trees for Classification.
Machine Learning, 1998

Using a Permutation Test for Attribute Selection in Decision Trees.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Generating Accurate Rule Sets Without Global Optimization.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998


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