Tuwe Löfström

Henrik Boström, Tuve Löfström, Ulf Johansson, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Bias reduction through conditional conformal prediction

Henrik Boström, Tuve Löfström, Ulf Johansson, 2015, Intell. Data Anal..

Regression conformal prediction with random forests

Henrik Boström, Tuve Löfström, Ulf Johansson, 2014, Machine Learning.

Rule Extraction with Guaranteed Fidelity

Henrik Boström, Tuve Löfström, Ulf Johansson, 2014, AIAI Workshops.

Using Feature Selection with Bagging and Rule Extraction in Drug Discovery

Henrik Boström, Tuve Löfström, Ulf Johansson, 2010 .

Random brains

Henrik Boström, Tuve Löfström, Ulf Johansson, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Overproduce-and-select: The grim reality

Henrik Boström, Tuve Löfström, Ulf Johansson, 2013, 2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL).

Producing implicit diversity in ANN ensembles

Tuve Löfström, Ulf Johansson, U. Johansson, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Using Imaginary Ensembles to Select GP Classifiers

Lars Niklasson, Tuve Löfström, Ulf Johansson, 2010, EuroGP.

Ensemble member selection using multi-objective optimization

Henrik Boström, Tuve Löfström, Ulf Johansson, 2009, 2009 IEEE Symposium on Computational Intelligence and Data Mining.

Using Optimized Optimization Criteria in Ensemble Member Selection

Henrik Boström, Tuve Löfström, Ulf Johansson, 2009 .

Using genetic programming to obtain implicit diversity

Tuve Löfström, Ulf Johansson, Rikard König, 2009, 2009 IEEE Congress on Evolutionary Computation.

Chipper - A Novel Algorithm for Concept Description

Henrik Boström, Tuve Löfström, Ulf Johansson, 2008, SCAI.

Evaluating Standard Techniques for Implicit Diversity

Lars Niklasson, Tuve Löfström, Ulf Johansson, 2008, PAKDD.

The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation

Lars Niklasson, Tuve Löfström, Ulf Johansson, 2007, 2007 International Joint Conference on Neural Networks.

Evaluating Ensembles on QSAR Classification

Tuve Löfström, Ulf Johansson, Ulf Norinder, 2009 .

One tree to explain them all

Tuve Löfström, Ulf Johansson, Cecilia Sönströd, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Accelerating difficulty estimation for conformal regression forests

Henrik Boström, Tuve Löfström, Ulf Johansson, 2017, Annals of Mathematics and Artificial Intelligence.

Why Not Use an Oracle When You Got One

Lars Niklasson, Tuve Löfström, Ulf Johansson, 2006 .

Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers

Henrik Boström, Tuve Löfström, Ulf Johansson, 2014, AIAI Workshops.

Improving GP classification performance by injection of decision trees

Lars Niklasson, Tuve Löfström, Ulf Johansson, 2010, IEEE Congress on Evolutionary Computation.

The INFUSIS Project: Data and Text Mining for In Silico Modeling

Henrik Boström, Sorel Muresan, Tuve Löfström, 2010 .

Rule Extraction from Opaque Models-- A Slightly Different Perspective

Lars Niklasson, Tuve Löfström, Ulf Johansson, 2006, 2006 5th International Conference on Machine Learning and Applications (ICMLA'06).

On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers

Henrik Boström, Tuve Löfström, Ulf Johansson, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Empirically investigating the importance of diversity

Lars Niklasson, Tuve Löfström, Ulf Johansson, 2007, 2007 10th International Conference on Information Fusion.