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Tuve Löfström
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- affiliation: Jönköping University, Department of Computer Science and Informatics, Sweden
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2020 – today
- 2024
- [j10]Helena Löfström
, Tuwe Löfström
Calibrated explanations: With uncertainty information and counterfactuals. Expert Syst. Appl. 246: 123154 (2024) - [j9]Tobias Pettersson
Multimodal fine-grained grocery product recognition using image and OCR text. Mach. Vis. Appl. 35(4): 79 (2024) - [c57]Helena Löfström
Conditional Calibrated Explanations: Finding a Path Between Bias and Uncertainty. xAI (1) 2024: 332-355 - [i5]Helena Löfström, Tuwe Löfström, Johan Hallberg Szabadv'ary:
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions. CoRR abs/2410.05479 (2024) - [i4]Tuwe Löfström, Fatima Rabia Yapicioglu, Alessandra Stramiglio, Helena Löfström, Fabio Vitali:
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models. CoRR abs/2410.21129 (2024) - 2023
- [c56]Nasir Uddin, Tuwe Löfström:
Applications of Conformal Regression on Real-world Industrial Use Cases using Crepes and MAPIE. COPA 2023: 147-165 - [c55]Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, Henrik Boström:
Confidence Classifiers with Guaranteed Accuracy or Precision. COPA 2023: 513-533 - [c54]Tuwe Löfström, Alexander Bondaletov, Artem Ryasik, Henrik Boström, Ulf Johansson:
Tutorial on using Conformal Predictive Systems in KNIME. COPA 2023: 602-620 - [c53]Ulf Johansson, Tuwe Löfström
Conformal Prediction for Accuracy Guarantees in Classification with Reject Option. MDAI 2023: 133-145 - [i3]Helena Löfström, Tuwe Löfström, Ulf Johansson, Cecilia Sönströd:
Calibrated Explanations: with Uncertainty Information and Counterfactuals. CoRR abs/2305.02305 (2023) - [i2]Ulf Johansson, Tuwe Löfström, Cecilia Sönströd:
Well-Calibrated Probabilistic Predictive Maintenance using Venn-Abers. CoRR abs/2306.06642 (2023) - [i1]Tuwe Löfström
Calibrated Explanations for Regression. CoRR abs/2308.16245 (2023) - 2022
- [j8]Rachid Oucheikh
Product verification using OCR classification and Mondrian conformal prediction. Expert Syst. Appl. 188: 115942 (2022) - [j7]Ulf Johansson, Cecilia Sönströd, Tuwe Löfström
Rule extraction with guarantees from regression models. Pattern Recognit. 126: 108554 (2022) - [c52]Tuwe Löfström, Artem Ryasik, Ulf Johansson:
Tutorial for using conformal prediction in KNIME. COPA 2022: 4-23 - [c51]Ulf Johansson, Tuwe Löfström, Niclas Ståhl:
Well-Calibrated Rule Extractors. COPA 2022: 72-91 - [c50]Tobias Pettersson
NLP Cross-Domain Recognition of Retail Products. ICMLT 2022: 237-243 - 2021
- [c49]Henrik Boström, Ulf Johansson, Tuwe Löfström:
Mondrian conformal predictive distributions. COPA 2021: 24-38 - [c48]Ulf Johansson, Tuwe Löfström, Henrik Boström:
Calibrating multi-class models. COPA 2021: 111-130 - [c47]Ulf Johansson
Well-Calibrated and Sharp Interpretable Multi-Class Models. MDAI 2021: 193-204 - [c46]Ulf Johansson, Henrik Boström, Tuwe Löfström
Investigating Normalized Conformal Regressors. SSCI 2021: 1-8 - 2020
- [c45]Ulf Johansson, Tuwe Löfström
Well-calibrated and specialized probability estimation trees. SDM 2020: 415-423
2010 – 2019
- 2019
- [j6]Ulf Johansson
Efficient Venn predictors using random forests. Mach. Learn. 108(3): 535-550 (2019) - [c44]Chandadevi Giri, Ulf Johansson, Tuwe Löfström
Predictive Modeling of Campaigns to Quantify Performance in Fashion Retail Industry. IEEE BigData 2019: 2267-2273 - [c43]Ulf Johansson, Tuwe Löfström, Henrik Boström, Cecilia Sönströd:
Interpretable and specialized conformal predictors. COPA 2019: 3-22 - [c42]Ulf Johansson, Cecilia Sönströd, Tuwe Löfström
Customized Interpretable Conformal Regressors. DSAA 2019: 221-230 - [c41]Ulf Johansson, Tuwe Löfström
Calibrating Probability Estimation Trees using Venn-Abers Predictors. SDM 2019: 28-36 - 2018
- [j5]Ulf Johansson, Henrik Linusson, Tuve Löfström
Interpretable regression trees using conformal prediction. Expert Syst. Appl. 97: 394-404 (2018) - [c40]Ulf Johansson, Tuwe Löfström, Håkan Sundell, Henrik Linusson, Anders Gidenstam, Henrik Boström:
Venn predictors for well-calibrated probability estimation trees. COPA 2018: 3-14 - [c39]Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
Classification with Reject Option Using Conformal Prediction. PAKDD (1) 2018: 94-105 - 2017
- [j4]Henrik Boström
Accelerating difficulty estimation for conformal regression forests. Ann. Math. Artif. Intell. 81(1-2): 125-144 (2017) - [c38]Henrik Linusson, Ulf Norinder, Henrik Boström, Ulf Johansson, Tuve Löfström:
On the Calibration of Aggregated Conformal Predictors. COPA 2017: 154-173 - [c37]Ernst Ahlberg, Susanne Winiwarter, Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Norinder, Ulf Johansson, Ola Engkvist, Oscar Hammar, Claus Bendtsen, Lars Carlsson:
Using Conformal Prediction to Prioritize Compound Synthesis in Drug Discovery. COPA 2017: 174-184 - [c36]Ulf Johansson, Henrik Linusson, Tuve Löfström
Model-agnostic nonconformity functions for conformal classification. IJCNN 2017: 2072-2079 - 2016
- [c35]Henrik Boström, Henrik Linusson, Tuve Löfström
Evaluation of a Variance-Based Nonconformity Measure for Regression Forests. COPA 2016: 75-89 - [c34]Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
Reliable Confidence Predictions Using Conformal Prediction. PAKDD (1) 2016: 77-88 - 2015
- [b1]Tuwe Löfström:
On Effectively Creating Ensembles of Classifiers : Studies on Creation Strategies, Diversity and Predicting with Confidence. Stockholm University, Sweden, 2015 - [j3]Tuve Löfström
Bias reduction through conditional conformal prediction. Intell. Data Anal. 19(6): 1355-1375 (2015) - [c33]Tuve Löfström
Predicting Adverse Drug Events with Confidence. SCAI 2015: 88-97 - 2014
- [j2]Ulf Johansson, Henrik Boström, Tuve Löfström
Regression conformal prediction with random forests. Mach. Learn. 97(1-2): 155-176 (2014) - [c32]Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers. AIAI Workshops 2014: 261-270 - [c31]Ulf Johansson, Rikard König, Henrik Linusson, Tuve Löfström
Rule Extraction with Guaranteed Fidelity. AIAI Workshops 2014: 281-290 - [c30]Henrik Linusson, Ulf Johansson, Tuve Löfström
Signed-Error Conformal Regression. PAKDD (1) 2014: 224-236 - 2013
- [c29]Ulf Johansson, Rikard König, Tuve Löfström
Evolved decision trees as conformal predictors. IEEE Congress on Evolutionary Computation 2013: 1794-1801 - [c28]Ulf Johansson, Tuve Löfström
Overproduce-and-select: The grim reality. CIEL 2013: 52-59 - [c27]Ulf Johansson, Henrik Boström, Tuve Löfström
Conformal Prediction Using Decision Trees. ICDM 2013: 330-339 - [c26]Ulf Johansson, Tuve Löfström
Random brains. IJCNN 2013: 1-8 - [c25]Tuve Löfström
Effective utilization of data in inductive conformal prediction using ensembles of neural networks. IJCNN 2013: 1-8 - 2012
- [j1]Ulf Johansson, Cecilia Sönströd, Tuve Löfström
Obtaining accurate and comprehensible classifiers using oracle coaching. Intell. Data Anal. 16(2): 247-263 (2012) - [c24]Ulf Johansson, Tuve Löfström
Producing implicit diversity in ANN ensembles. IJCNN 2012: 1-8 - 2011
- [c23]Ulf Johansson, Cecilia Sönströd, Tuve Löfström
One tree to explain them all. IEEE Congress on Evolutionary Computation 2011: 1444-1451 - [c22]Ulf Johansson, Tuve Löfström
Locally induced predictive models. SMC 2011: 1735-1740 - 2010
- [c21]Rikard König, Ulf Johansson, Tuve Löfström
Improving GP classification performance by injection of decision trees. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c20]Ulf Johansson, Rikard König, Tuve Löfström
Using Imaginary Ensembles to Select GP Classifiers. EuroGP 2010: 278-288 - [c19]Ulf Johansson, Cecilia Sönströd, Tuve Löfström
Oracle Coached Decision Trees and Lists. IDA 2010: 67-78 - [c18]Tuve Löfström
Comparing methods for generating diverse ensembles of artificial neural networks. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [c17]Ulf Johansson, Cecilia Sönströd, Tuve Löfström
Using genetic programming to obtain implicit diversity. IEEE Congress on Evolutionary Computation 2009: 2454-2459 - [c16]Tuve Löfström
Ensemble member selection using multi-objective optimization. CIDM 2009: 245-251 - [c15]Cecilia Sönströd, Ulf Johansson, Tuve Löfström:
Evaluating Algorithms for Concept Description. DMIN 2009: 354-360 - [p1]Ulf Johansson, Rikard König, Tuve Löfström
Post-processing Evolved Decision Trees. Foundations of Computational Intelligence (4) 2009: 149-164 - 2008
- [c14]Ulf Johansson, Rikard König, Tuve Löfström
Increasing rule extraction accuracy by post-processing GP trees. IEEE Congress on Evolutionary Computation 2008: 3005-3010 - [c13]Tuve Löfström
On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers. ICMLA 2008: 127-132 - [c12]Ulf Johansson, Tuve Löfström
The problem with ranking ensembles based on training or validation performance. IJCNN 2008: 3222-3228 - [c11]Ulf Johansson, Tuve Löfström
Evaluating Standard Techniques for Implicit Diversity. PAKDD 2008: 592-599 - [c10]Ulf Johansson, Cecilia Sönströd, Tuve Löfström, Henrik Boström:
Chipper - A Novel Algorithm for Concept Description. SCAI 2008: 133-140 - 2007
- [c9]Tuve Löfström
Empirically investigating the importance of diversity. FUSION 2007: 1-8 - [c8]Ulf Johansson, Tuve Löfström
The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation. IJCNN 2007: 661-666 - 2006
- [c7]Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson:
Introducing GEMS - A Novel Technique for Ensemble Creation. FLAIRS 2006: 700-705 - [c6]Tuve Löfström
Benefits of relating the Retail Domain and Information Fusion. FUSION 2006: 1-4 - [c5]Ulf Johansson, Tuve Löfström
Genetically Evolved Trees Representing Ensembles. ICAISC 2006: 613-622 - [c4]Ulf Johansson, Tuve Löfström
Rule Extraction from Opaque Models-- A Slightly Different Perspective. ICMLA 2006: 22-27 - [c3]Ulf Johansson, Tuve Löfström
Building Neural Network Ensembles using Genetic Programming. IJCNN 2006: 1260-1265 - 2005
- [c2]Ulf Johansson, Tuve Löfström
Obtaining Accurate Neural Network Ensembles. CIMCA/IAWTIC 2005: 103-108 - 2004
- [c1]Tuve Löfström
Rule Extraction by Seeing Through the Model. ICONIP 2004: 555-560
Coauthor Index
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last updated on 2024-12-02 21:31 CET by the dblp team
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