Tuve Löfström

46 papers A* 1B 18C 5Misc 2Journal 6Unranked 13
YearRankTypeTitle / Venue / Authors
2019 J jnl
Efficient Venn predictors using random forests.
Mach. Learn.
Ulf Johansson, Tuve Löfström, Henrik Linusson, Henrik Boström
2018 — conf
Classification with Reject Option Using Conformal Prediction.
PAKDD (1)
Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
2018 J jnl
Interpretable regression trees using conformal prediction.
Expert Syst. Appl.
Ulf Johansson, Henrik Linusson, Tuve Löfström, Henrik Boström
2017 J jnl
Accelerating difficulty estimation for conformal regression forests.
Ann. Math. Artif. Intell.
Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Johansson
2017 B conf
Model-agnostic nonconformity functions for conformal classification.
IJCNN
Ulf Johansson, Henrik Linusson, Tuve Löfström, Henrik Boström
2017 — conf
On the Calibration of Aggregated Conformal Predictors.
COPA
Henrik Linusson, Ulf Norinder, Henrik Boström, Ulf Johansson, Tuve Löfström
2017 — conf
Using Conformal Prediction to Prioritize Compound Synthesis in Drug Discovery.
COPA
Ernst Ahlberg, Susanne Winiwarter, Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Norinder, Ulf Johansson, Ola Engkvist, Oscar Hammar, Claus Bendtsen, Lars Carlsson
2016 — conf
Evaluation of a Variance-Based Nonconformity Measure for Regression Forests.
COPA
Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Johansson
2016 — conf
Reliable Confidence Predictions Using Conformal Prediction.
PAKDD (1)
Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
2015 J jnl
Bias reduction through conditional conformal prediction.
Intell. Data Anal.
Tuve Löfström, Henrik Boström, Henrik Linusson, Ulf Johansson
2015 — conf
Predicting Adverse Drug Events with Confidence.
SCAI
Tuve Löfström, Jing Zhao, Henrik Linusson, Karl Jansson
2014 — conf
Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers.
AIAI (Workshops)
Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
2014 J jnl
Regression conformal prediction with random forests.
Mach. Learn.
Ulf Johansson, Henrik Boström, Tuve Löfström, Henrik Linusson
2014 — conf
Rule Extraction with Guaranteed Fidelity.
AIAI (Workshops)
Ulf Johansson, Rikard König, Henrik Linusson, Tuve Löfström, Henrik Boström
2014 — conf
Signed-Error Conformal Regression.
PAKDD (1)
Henrik Linusson, Ulf Johansson, Tuve Löfström
2013 A* conf
Conformal Prediction Using Decision Trees.
ICDM
Ulf Johansson, Henrik Boström, Tuve Löfström
2013 B conf
Effective utilization of data in inductive conformal prediction using ensembles of neural networks.
IJCNN
Tuve Löfström, Ulf Johansson, Henrik Boström
2013 B conf
Evolved decision trees as conformal predictors.
IEEE Congress on Evolutionary Computation
Ulf Johansson, Rikard König, Tuve Löfström, Henrik Boström
2013 — conf
Overproduce-and-select: The grim reality.
CIEL
Ulf Johansson, Tuve Löfström, Henrik Boström
2013 B conf
Random brains.
IJCNN
Ulf Johansson, Tuve Löfström, Henrik Boström
2012 J jnl
Obtaining accurate and comprehensible classifiers using oracle coaching.
Intell. Data Anal.
Ulf Johansson, Cecilia Sönströd, Tuve Löfström, Henrik Boström
2012 B conf
Producing implicit diversity in ANN ensembles.
IJCNN
Ulf Johansson, Tuve Löfström
2011 B conf
Locally induced predictive models.
SMC
Ulf Johansson, Tuve Löfström, Cecilia Sönströd
2011 B conf
One tree to explain them all.
IEEE Congress on Evolutionary Computation
Ulf Johansson, Cecilia Sönströd, Tuve Löfström
2010 B conf
Comparing methods for generating diverse ensembles of artificial neural networks.
IJCNN
Tuve Löfström, Ulf Johansson, Henrik Boström
2010 B conf
Improving GP classification performance by injection of decision trees.
IEEE Congress on Evolutionary Computation
Rikard König, Ulf Johansson, Tuve Löfström, Lars Niklasson
2010 B conf
Oracle Coached Decision Trees and Lists.
IDA
Ulf Johansson, Cecilia Sönströd, Tuve Löfström
2010 B conf
Using Imaginary Ensembles to Select GP Classifiers.
EuroGP
Ulf Johansson, Rikard König, Tuve Löfström, Lars Niklasson
2009 C conf
Ensemble member selection using multi-objective optimization.
CIDM
Tuve Löfström, Ulf Johansson, Henrik Boström
2009 — conf
Evaluating Algorithms for Concept Description.
DMIN
Cecilia Sönströd, Ulf Johansson, Tuve Löfström
2009 — ch.
Post-processing Evolved Decision Trees.
Foundations of Computational Intelligence (4)
Ulf Johansson, Rikard König, Tuve Löfström, Cecilia Sönströd, Lars Niklasson
2009 B conf
Using genetic programming to obtain implicit diversity.
IEEE Congress on Evolutionary Computation
Ulf Johansson, Cecilia Sönströd, Tuve Löfström, Rikard König
2008 — conf
Chipper - A Novel Algorithm for Concept Description.
SCAI
Ulf Johansson, Cecilia Sönströd, Tuve Löfström, Henrik Boström
2008 B conf
Evaluating Standard Techniques for Implicit Diversity.
PAKDD
Ulf Johansson, Tuve Löfström, Lars Niklasson
2008 B conf
Increasing rule extraction accuracy by post-processing GP trees.
IEEE Congress on Evolutionary Computation
Ulf Johansson, Rikard König, Tuve Löfström, Lars Niklasson
2008 C conf
On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers.
ICMLA
Tuve Löfström, Ulf Johansson, Henrik Boström
2008 B conf
The problem with ranking ensembles based on training or validation performance.
IJCNN
Ulf Johansson, Tuve Löfström, Henrik Boström
2007 C conf
Empirically investigating the importance of diversity.
FUSION
Tuve Löfström, Ulf Johansson, Lars Niklasson
2007 B conf
The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation.
IJCNN
Ulf Johansson, Tuve Löfström, Lars Niklasson
2006 C conf
Benefits of relating the Retail Domain and Information Fusion.
FUSION
Tuve Löfström, Rikard König, Ulf Johansson, Lars Niklasson, Mattias Strand, Tom Ziemke
2006 B conf
Building Neural Network Ensembles using Genetic Programming.
IJCNN
Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson
2006 Misc conf
Genetically Evolved Trees Representing Ensembles.
ICAISC
Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson
2006 Misc conf
Introducing GEMS - A Novel Technique for Ensemble Creation.
FLAIRS
Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson
2006 C conf
Rule Extraction from Opaque Models-- A Slightly Different Perspective.
ICMLA
Ulf Johansson, Tuve Löfström, Rikard König, Cecilia Sönströd, Lars Niklasson
2005 — conf
Obtaining Accurate Neural Network Ensembles.
CIMCA/IAWTIC
Ulf Johansson, Tuve Löfström, Lars Niklasson
2004 B conf
Rule Extraction by Seeing Through the Model.
ICONIP
Tuve Löfström, Ulf Johansson, Lars Niklasson