Tuwe Löfström

39 papers A 2B 3C 1Journal 13Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond conformal predictors: Adaptive Conformal Inference with confidence predictors. Pattern Recognit. Johan Hallberg Szabadváry, Tuwe Löfström
2026	J	`jnl`	Concerning Uncertainty - A Systematic Survey of Uncertainty-Aware XAI. CoRR Helena Löfström, Tuwe Löfström, Anders Hjort, Fatima Rabia Yapicioglu
2025	J	`jnl`	Calibrated explanations for regression. Mach. Learn. Tuwe Löfström, Helena Löfström, Ulf Johansson, Cecilia Sönströd, Rudy Matela
2025	J	`jnl`	Classification with Reject Option: Distribution-free Error Guarantees via Conformal Prediction. CoRR Johan Hallberg Szabadváry, Tuwe Löfström, Ulf Johansson, Cecilia Sönströd, Ernst Ahlberg, Lars Carlsson
2025	—	`conf`	ConformaSegment: A Conformal Prediction-Based, Uncertainty-Aware, and Model-Agnostic Explainability Framework for Time-Series Forecasting. xAI (4) Fatima Rabia Yapicioglu, Meltem Aksoy, Tuwe Löfström, Fabio Vitali, Alberto Rigenti
2025	—	`conf`	Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models. xAI (5) Tuwe Löfström, Fatima Rabia Yapicioglu, Alessandra Stramiglio, Helena Löfström, Fabio Vitali
2025	—	`ed.`	Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2025, 10-12 September 2025, London, UK. COPA Khuong An Nguyen, Zhiyuan Luo, Harris Papadopoulos, Tuwe Löfström, Lars Carlsson, Henrik Boström
2025	—	`conf`	Preface. COPA Harris Papadopoulos, Khuong An Nguyen, Zhiyuan Luo, Tuwe Löfström, Lars Carlsson, Henrik Boström
2025	—	`conf`	online-cp: a Python Package for Online Conformal Prediction, Conformal Predictive Systems and Conformal Test Martingales. COPA Johan Hallberg Szabadváry, Tuwe Löfström, Rudy Matela
2024	—	`conf`	Calibrated Explanations for Multi-class. COPA Tuwe Löfström, Helena Löfström, Ulf Johansson
2024	J	`jnl`	Calibrated explanations: With uncertainty information and counterfactuals. Expert Syst. Appl. Helena Löfström, Tuwe Löfström, Ulf Johansson, Cecilia Sönströd
2024	—	`conf`	Conditional Calibrated Explanations: Finding a Path Between Bias and Uncertainty. xAI (1) Helena Löfström, Tuwe Löfström
2024	J	`jnl`	Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions. CoRR Helena Löfström, Tuwe Löfström, Johan Hallberg Szabadváry
2024	J	`jnl`	Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models. CoRR Tuwe Löfström, Fatima Rabia Yapicioglu, Alessandra Stramiglio, Helena Löfström, Fabio Vitali
2024	J	`jnl`	Multimodal fine-grained grocery product recognition using image and OCR text. Mach. Vis. Appl. Tobias Pettersson, Maria Riveiro, Tuwe Löfström
2024	C	`conf`	Real-Time Automatic Checkout via Prompt-Based Product Extraction and Cross-Domain Learning. ICMLA Tobias Pettersson, Maria Riveiro, Tuwe Löfström
2023	—	`conf`	Applications of Conformal Regression on Real-world Industrial Use Cases using Crepes and MAPIE. COPA Nasir Uddin, Tuwe Löfström
2023	J	`jnl`	Calibrated Explanations for Regression. CoRR Tuwe Löfström, Helena Löfström, Ulf Johansson, Cecilia Sönströd
2023	J	`jnl`	Calibrated Explanations: with Uncertainty Information and Counterfactuals. CoRR Helena Löfström, Tuwe Löfström, Ulf Johansson, Cecilia Sönströd
2023	—	`conf`	Confidence Classifiers with Guaranteed Accuracy or Precision. COPA Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, Henrik Boström
2023	B	`conf`	Conformal Prediction for Accuracy Guarantees in Classification with Reject Option. MDAI Ulf Johansson, Tuwe Löfström, Cecilia Sönströd, Helena Löfström
2023	—	`conf`	Tutorial on using Conformal Predictive Systems in KNIME. COPA Tuwe Löfström, Alexander Bondaletov, Artem Ryasik, Henrik Boström, Ulf Johansson
2023	J	`jnl`	Well-Calibrated Probabilistic Predictive Maintenance using Venn-Abers. CoRR Ulf Johansson, Tuwe Löfström, Cecilia Sönströd
2022	—	`conf`	NLP Cross-Domain Recognition of Retail Products. ICMLT Tobias Pettersson, Rachid Oucheikh, Tuwe Löfström
2022	J	`jnl`	Product verification using OCR classification and Mondrian conformal prediction. Expert Syst. Appl. Rachid Oucheikh, Tobias Pettersson, Tuwe Löfström
2022	J	`jnl`	Rule extraction with guarantees from regression models. Pattern Recognit. Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, Henrik Boström
2022	—	`conf`	Tutorial for using conformal prediction in KNIME. COPA Tuwe Löfström, Artem Ryasik, Ulf Johansson
2022	—	`conf`	Well-Calibrated Rule Extractors. COPA Ulf Johansson, Tuwe Löfström, Niclas Ståhl
2021	—	`conf`	Calibrating multi-class models. COPA Ulf Johansson, Tuwe Löfström, Henrik Boström
2021	—	`conf`	Investigating Normalized Conformal Regressors. SSCI Ulf Johansson, Henrik Boström, Tuwe Löfström
2021	—	`conf`	Mondrian conformal predictive distributions. COPA Henrik Boström, Ulf Johansson, Tuwe Löfström
2021	B	`conf`	Well-Calibrated and Sharp Interpretable Multi-Class Models. MDAI Ulf Johansson, Tuwe Löfström, Henrik Boström
2020	A	`conf`	Well-calibrated and specialized probability estimation trees. SDM Ulf Johansson, Tuwe Löfström
2019	A	`conf`	Calibrating Probability Estimation Trees using Venn-Abers Predictors. SDM Ulf Johansson, Tuwe Löfström, Henrik Boström
2019	B	`conf`	Customized Interpretable Conformal Regressors. DSAA Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, Henrik Boström
2019	—	`conf`	Interpretable and specialized conformal predictors. COPA Ulf Johansson, Tuwe Löfström, Henrik Boström, Cecilia Sönströd
2019	—	`conf`	Predictive Modeling of Campaigns to Quantify Performance in Fashion Retail Industry. IEEE BigData Chandadevi Giri, Ulf Johansson, Tuwe Löfström
2018	—	`conf`	Venn predictors for well-calibrated probability estimation trees. COPA Ulf Johansson, Tuwe Löfström, Håkan Sundell, Henrik Linusson, Anders Gidenstam, Henrik Boström
2015	—	`—`	On Effectively Creating Ensembles of Classifiers : Studies on Creation Strategies, Diversity and Predicting with Confidence. Tuwe Löfström