Medverkande i utredning : Lars Carlsson

Carlsson, Lars, Hallberg Szabadváry, Johan, Ahlberg, Ernst och Gammerman, James, Application of Confidence and Probabilistic Models to Practical Problems, The Importance of Being Learnable, 2026,, s. 227–268, Cham : Springer Science+Business Media B.V.

Bergmo-Prvulovic, Ingela, Carlsson, Lars och Lindberg, Ylva, WAIT: Workplace and higher education learning for professional AI-gency and digital transformation, 2025

Capuccini, Marco, Pai, Rahul Rajendra och Carlsson, Lars, Testing by Betting for Anomaly Detection in Rental E-Scooter GNSS Traces, Proceedings of Machine Learning Research, Proceedings of the 14th Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2025 och Proceedings of Machine Learning Research, 2025, 266, s. 633–644, 266, s. 633–644 och 266, s. 633–644, : ML Research Press, : ML Research Press och : ML Research Press

Hallberg Szabadváry, Johan, Löfström, Tuwe, Johansson, Ulf, Sönströd, Cecilia, Ahlberg, Ernst och Carlsson, Lars, Classification with reject option : Distribution-free error guarantees via conformal prediction, Machine Learning with Applications, 2025, 20, : Elsevier

Papadopoulos, Harris, An Nguyen, Khuong, Luo, Zhiyuan, Löfström, Tuwe, Carlsson, Lars och Boström, Henrik, Preface, Proceedings of Machine Learning Research, 2025,, s. 1–5, : ML Research Press

Preface, 2025, Papadopoulos, H., An Nguyen, K., Luo, Z., Löfström, Tuwe, Carlsson, Lars och Boström, H., ML Research Press

Arvidsson McShane, Staffan, Norinder, Ulf, Alvarsson, Jonathan, Ahlberg, Ernst, Carlsson, Lars och Spjuth, Ola, CPSign : Conformal Prediction for Cheminformatics Modeling, Journal of Cheminformatics, 2024, 16, : BioMed Central (BMC)

Fontana, Matteo, Vantini, Simone, Boström, Henrik, Carlsson, Lars och Solari, Aldo, Preface, Proceedings of Machine Learning Research, 2024,, s. 1–4, : ML Research Press

Haj-Hosseini, Neda, Jonasson, Hanna, Stridsman, Magnus och Carlsson, Lars, Interactive remote electrical safety laboratory module in biomedical engineering education, Education and Information Technologies, 2024, : Springer

Löfström, Helena, Carlsson, Lars och Ahlberg, Ernst, Testing Exchangeability Between Real And Synthetic Data, Proceedings of Machine Learning Research, 2024,, s. 424–431, : ML Research Press

Ahlberg, Ernst, Mirkina, Irina, Olsson, Alfred, Söyland, Christian och Carlsson, Lars, On the selection of relevant historical demand data for revenue management applied to transportation, Journal of Revenue and Pricing Management, 2023, 22 nr 4, s. 266–275, : Springer

Althoff, Simon, Szabadváry, Johan H., Anderson, Jonathan och Carlsson, Lars, Evaluation of conformal-based probabilistic forecasting methods for short-term wind speed forecasting, Proceedings of Machine Learning Research, 2023,, s. 100–115, : ML Research Press

Arvidsson McShane, Staffan, Confidence Predictions in Pharmaceutical Sciences, 2023, Acta Universitatis Upsaliensis, Uppsala

Papadopoulos, Harris, Nguyen, Khuong An, Boström, Henrik och Carlsson, Lars, Preface, Proceedings of Machine Learning Research, 2023,, s. 1–4, : ML Research Press

Haj-Hosseini, Neda, Jonasson, Hanna, Stridsman, Magnus och Carlsson, Lars, Virtuell laboration för undervisning av elektrisk säkerhet inom medicinteknik, 2022

Preface, 2022, Johansson, Ulf, Boström, Henrik, Nguyen, Khuong An, Luo, Zhiyuan och Carlsson, Lars, ML Research Press

Oucheikh, Rachid, Löfström, Tuwe, Ahlberg, Ernst och Carlsson, Lars, Rolling Cargo Management Using a Deep Reinforcement Learning Approach, LOGISTICS-BASEL, 2021, 5 nr 1, : MDPI

Werner, Hugo, Carlsson, Lars, Ahlberg, Ernst och Boström, Henrik, Evaluation of Updating Strategies for Conformal Predictive Systems in the Presence of Extreme Events, Proceedings of the 10th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2021, 2021,, s. 229–242, : ML Research Press

Werner, Hugo, Carlsson, Lars, Ahlberg, Ernst och Boström, Henrik, Evaluating Different Approaches to Calibrating Conformal Predictive Systems, Proceedings of the 9th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2020 och Conformal and Probabilistic Prediction and Applications, 2020,, s. 134–150, s. 134–150 och, s. 134–150, s. 134–150, : ML Research Press och : ML Research Press

Buendia, Ruben, Kogej, Thierry, Engkvist, Ola, Carlsson, Lars, Linusson, Henrik, Johansson, Ulf, Toccaceli, Paolo och Ahlberg, Ernst, Accurate Hit Estimation for Iterative Screening Using Venn-ABERS Predictors, Journal of Chemical Information and Modeling, 2019, 59 nr 3, s. 1230–1237, : American Chemical Society (ACS)

Carlsson, Lars, Lytsy, Per, Anderzén, Ingrid, Hallqvist, Johan, Wallman, Thorne och Gustavsson, Catharina, Motivation for return to work and actual return to work among people on long-term sick leave due to pain syndrome or mental health conditions, Disability and Rehabilitation, 2019, 41 nr 25, s. 3061–3070, : Informa UK Limited

Gammerman, Alexander, Vovk, Vladimir, Boström, Henrik och Carlsson, Lars, Conformal and probabilistic prediction with applications : editorial, Machine Learning, 2019, 108 nr 3, s. 379–380, : SPRINGER

Norinder, Ulf, Ahlberg, Ernst och Carlsson, Lars, Predicting Ames Mutagenicity Using Conformal Prediction in the Ames/QSAR International Challenge Project, Mutagenesis, 2019, 34 nr 1, s. 33–40, : Oxford University Press

Spjuth, Ola, Brännström, Robin Carrión, Carlsson, Lars och Gauraha, Niharika, Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets, Proceedings of the Eighth Symposium on Conformal and Probabilistic Prediction and Applications, 2019,, s. 53–65, : PMLR

Berglund, Erik, Anderzén, Ingrid, Andersén, Åsa, Carlsson, Lars, Gustavsson, Catharina, Wallman, Thorne och Lytsy, Per, Multidisciplinary Intervention and Acceptance and Commitment Therapy for Return-to-Work and Increased Employability among Patients with Mental Illness and/or Chronic Pain : A Randomized Controlled Trial, International Journal of Environmental Research and Public Health, 2018, 15 nr 11, : MDPI AG