List of works - Eibe Frank

A comparison of methods for estimating prediction intervals in NIR spectroscopy: Size matters

article

A data mining approach to evaluate suitability of dissolved oxygen sensor observations for lake metabolism analysis

article

A review of multi-instance learning assumptions

scientific article (publication date: March 2010)

A study of hierarchical and flat classification of proteins.

scientific article

Accelerating the XGBoost algorithm using GPU computing

scientific article

Accuracy of machine learning models versus “hand crafted” expert systems – A credit scoring case study

scholarly article by Arie Ben-David & Eibe Frank published April 2009 in Expert Systems with Applications

Accurate photometric redshift probability density estimation – method comparison and application

scientific article

Additive Regression Applied to a Large-Scale Collaborative Filtering Problem

Alternating model trees

article

Applying additive logistic regression to data derived from sensors monitoring behavioral and physiological characteristics of dairy cows to detect lameness.

scientific article

Artificial neural network is highly predictive of outcome in paediatric acute liver failure.

scientific article published on 27 June 2013

Beyond Trees: Adopting MITI to Learn Rules and Ensemble Classifiers for Multi-Instance Data

article by Luke Bjerring & Eibe Frank published 2011 in Lecture Notes in Computer Science

Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection

article published in 2016

Building a Twitter opinion lexicon from automatically-annotated tweets

scholarly article by Felipe Bravo-Marquez et al published September 2016 in Knowledge-Based Systems

Classifier Chains for Multi-label Classification

Classifier chains for multi-label classification

Clustering Documents Using a Wikipedia-Based Concept Representation

scholarly article by Anna Huang et al published 2009 in Lecture Notes in Computer Science

Clustering Documents with Active Learning Using Wikipedia

scholarly article published December 2008

Conditional Density Estimation with Class Probability Estimators

DNA methylation-associated colonic mucosal immune and defense responses in treatment-naïve pediatric ulcerative colitis.

scientific article

Data Mining: Practical Machine Learning Tools and Techniques

Data mining

article by Ian H. Witten & Eibe Frank published 1 March 2002 in ACM SIGMOD Record

Data mining in bioinformatics using Weka

scientific article

Determining Word-Emotion Associations from Tweets by Multi-label Classification

Discriminating Against New Classes: One-class versus Multi-class Classification

Ensembles of Balanced Nested Dichotomies for Multi-class Problems

Ensembles of Restricted Hoeffding Trees

Fast Perceptron Decision Tree Learning from Evolving Data Streams

Fragment generation and support vector machines for inducing SARs.

scientific article published in July 2002

From Opinion Lexicons to Sentiment Classification of Tweets and Vice Versa: A Transfer Learning Approach

From Unlabelled Tweets to Twitter-specific Opinion Words

scholarly article published 2015

Gene selection from microarray data for cancer classification--a machine learning approach.

scientific article

Improving browsing in digital libraries with keyphrase indexes

article published in 1999

Improving on Bagging with Input Smearing

Interactive machine learning: letting users build classifiers

scientific article published in September 2001

Introducing Machine Learning Concepts with WEKA.

scientific article

Large scale K-means clustering using GPUs

scientific article published in 2022

Large-Scale Automatic Species Identification

Large-scale attribute selection using wrappers

Learning a concept-based document similarity measure

Logistic Model Trees

article

One-Class Classification by Combining Density and Class Probability Estimation

Online Estimation of Discrete Densities

article published in 2013

Online estimation of discrete, continuous, and conditional joint densities using classifier chains

Predicting Library of Congress classifications from Library of Congress subject headings

article

Revisiting Multiple-Instance Learning Via Embedded Instance Selection

article by James Foulds & Eibe Frank published 2008 in Lecture Notes in Computer Science

Sentiment Knowledge Discovery in Twitter Streaming Data

scholarly article by Albert Bifet & Eibe Frank published 2010 in Lecture Notes in Computer Science

List of works by Eibe Frank

A comparison of methods for estimating prediction intervals in NIR spectroscopy: Size matters

A data mining approach to evaluate suitability of dissolved oxygen sensor observations for lake metabolism analysis

A review of multi-instance learning assumptions

A study of hierarchical and flat classification of proteins.

Accelerating the XGBoost algorithm using GPU computing

Accuracy of machine learning models versus “hand crafted” expert systems – A credit scoring case study

Accurate photometric redshift probability density estimation – method comparison and application

Additive Regression Applied to a Large-Scale Collaborative Filtering Problem

Alternating model trees

Applying additive logistic regression to data derived from sensors monitoring behavioral and physiological characteristics of dairy cows to detect lameness.

Artificial neural network is highly predictive of outcome in paediatric acute liver failure.

Beyond Trees: Adopting MITI to Learn Rules and Ensemble Classifiers for Multi-Instance Data

Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection

Building a Twitter opinion lexicon from automatically-annotated tweets

Classifier Chains for Multi-label Classification

Classifier chains for multi-label classification

Clustering Documents Using a Wikipedia-Based Concept Representation

Clustering Documents with Active Learning Using Wikipedia

Conditional Density Estimation with Class Probability Estimators

DNA methylation-associated colonic mucosal immune and defense responses in treatment-naïve pediatric ulcerative colitis.

Data Mining: Practical Machine Learning Tools and Techniques

Data mining

Data mining in bioinformatics using Weka

Determining Word-Emotion Associations from Tweets by Multi-label Classification

Discriminating Against New Classes: One-class versus Multi-class Classification

Ensembles of Balanced Nested Dichotomies for Multi-class Problems

Ensembles of Restricted Hoeffding Trees

Fast Perceptron Decision Tree Learning from Evolving Data Streams

Fragment generation and support vector machines for inducing SARs.

From Opinion Lexicons to Sentiment Classification of Tweets and Vice Versa: A Transfer Learning Approach

From Unlabelled Tweets to Twitter-specific Opinion Words

Gene selection from microarray data for cancer classification--a machine learning approach.

Improving browsing in digital libraries with keyphrase indexes

Improving on Bagging with Input Smearing

Interactive machine learning: letting users build classifiers

Introducing Machine Learning Concepts with WEKA.

Large scale K-means clustering using GPUs

Large-Scale Automatic Species Identification

Large-scale attribute selection using wrappers

Learning a concept-based document similarity measure

Logistic Model Trees

One-Class Classification by Combining Density and Class Probability Estimation

Online Estimation of Discrete Densities

Online estimation of discrete, continuous, and conditional joint densities using classifier chains

Predicting Library of Congress classifications from Library of Congress subject headings

Revisiting Multiple-Instance Learning Via Embedded Instance Selection

Sentiment Knowledge Discovery in Twitter Streaming Data

Speeding Up Logistic Model Tree Induction

Speeding Up and Boosting Diverse Density Learning

Technical Note: Naive Bayes for Regression

The DFUC 2020 Dataset: Analysis Towards Diabetic Foot Ulcer Detection

The WEKA data mining software: an update ⬇️

Transferring sentiment knowledge between words and tweets

Unsupervised Discretization Using Tree-Based Density Estimation

Using Model Trees for Classification

WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j